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Linux-Sicherheit: CVE-2026-53274 trifft Ubuntu bis 26.04 - BornCity

Sun, 26 Jul 2026 12:46:13 +0200

IT-Sicherheit wird zum Top-Thema – spezielle Trainings sollen Linux-Administratoren fit für die Bedrohungslage machen.

Firefox's New Tab Page Will Get Widgets - Including an AI-Powered Daily Crossword

Sun, 26 Jul 2026 07:16:12 +0200

In a sign of the times, Firefox's New Tab page could soon include a crossword puzzle from AI-powered news platform Particle. The blog OMG Ubuntu reports: The mini crossword game is updated daily, with puzzles based around recent content Particle's AI has ingested and summarised that day. [After solving the crossword, links appear to related news articles...] If you just want to try the crossword, you access it in any browser via a direct link. While it may look like Mozilla is trying to capitalise on the Wordle craze several years too late, it's part of its strategy to make the Firefox new tab page a discover destination in itself, not just a springboard for new searches. The 'Daily Grind' crossword widget (name subject to change) is just one of several widgets Firefox has (or will get). You'll also find a to-do list, timer, stock checker, world clock, picture of the day, privacy report and new-look weather widget (bigger than the existing one). During the World Cup 2026, Firefox offered real-time match scores and fixture information too... [T]hey aren't mandatory. You can disable the ones you don't want to use, or, if you don't want any at all, turn them all off to hide the widget area itself. A button to 'show fewer widgets' frees up room to allow other distractions (sponsored stories) on the new tab page to show... [Presumably you can also still open new tabs to a blank page...] They're rolling out to users in certain region and locales already. Plus, Mozilla routinely tests new features with a small set of users before they hit stable builds (i.e., the "Allow Firefox to run feature studies" setting). If you don't have widgets in your Firefox build, but you want them, you can manually enable them in Firefox 153 and later from the about:config page. Search for the following master switch and set it to true to enable the widget area: browser.newtabpage.activity-stream.widgets.system.enabled Then, enable the widgets you want to use by searching: activity-stream.widgets.*.enabled However, the usual caveats about "trying things not enabled by default" still apply. Mozilla hasn't set a firm rollout date, though the feature is already documented on its support site. With fortnightly Firefox releases about to start, and a big Nova redesign, chances are we'll all be puzzling over these widgets sooner rather than later.

Read more of this story at Slashdot.

Firefox' New Tab Page Will Get Widgets - Including an AI-Powered Daily Crossword

Sun, 26 Jul 2026 06:31:16 +0200

Read more of this story at Slashdot.

Node.js Trust Falls: Dangerous Module Resolution on Windows

Sat, 25 Jul 2026 19:02:58 +0200

In September of 2024, ZDI received a vulnerability submission from an anonymous researcher affecting npm CLI that revealed a fundamental design issue in Node.js. This blog details how it continues to expose applications to local privilege escalation (LPE) attacks on Windows systems, including the Discord desktop app (CVE-2026-0776 0-Day), which remains unpatched and vulnerable.

The issue is straightforward: when Node.js resolves modules, the runtime searches for packages in C:\node_modules as part of its default behavior. Since low-privileged Windows users can create this directory and plant malicious modules there, any Node.js application with missing or optional dependencies becomes vulnerable to privilege escalation.

This issue is not new. Concerned discussions about Node.js's module search path behavior date back to 2013 and 2014.

Node.js has explicitly stated that they consider this behavior intentional:

"Node.js trusts the file system."

They do not treat CWE-427 (Uncontrolled Search Path Element) as a vulnerability, pushing responsibility onto application developers.

Figure 1: The vendor’s security policy stance on CWE-427 as a non-issue

As the case studies below demonstrate, this stance has dangerous consequences. Developers are largely unaware of this attack surface, and the result is a proliferation of exploitable applications. We will show examples in npm CLI and Discord, but there are likely many more applications that are impacted by this.

Root Cause

The root cause lies in the way Node.js performs module resolution. This is documented here. Although UNIX paths are used in the documentation provided by Node.js, the same logic is applied on Windows.

When a Node.js application calls require(‘bar’), the runtime searches for the module in the following order:

C:\Users\Administrator\projects\node_modules\bar.js
C:\Users\Administrator\node_modules\bar.js
C:\Users\node_modules\bar.js
C:\node_modules\bar.js <-- The problem

If the legitimate package is missing, whether due to optional dependencies, development packages removed in production, or installation failures, the resolution search will eventually reach the root of the drive. Any user can create C:\node_modules and place a malicious package there. Once the low-privileged user has populated C:\node_modules\bar.js, Node.js will load and execute it in the context of the current user. In the following case studies, we will provide evidence of how, despite properly following NPM’s guidelines, third-party dependencies end up triggering this vulnerability anytime you launch the application.

Case Studies: Real-World Manifestations

The Optional Dependency Pattern: npm supports optional dependencies to be specified in the project’s package.json file. The recommended pattern for checking for these dependencies is as follows:

Figure 2: npm Docs showing optionalDependencies example code

This pattern silently catches errors when optional packages are missing, allowing execution to continue. So what’s the problem? On Windows, Node.js will search all the way up to C:\node_modules where an attacker may have planted a malicious replacement. This search behavior mirrors UNIX conventions where /node_modules at the filesystem root is typically only writable by root. Windows systems by default allow any user to create C:\node_modules. Once require is called, Node.js will traverse the search path and execute any matching module it finds.

Important things to note:

This pattern can be found in third party libraries deep in a dependency tree, as we will see in the following examples.
There is no runtime indication to either the developers or the end users that such a vulnerability exists without looking at the filesystem logs with Procmon.
The optional dependency pattern itself would not be dangerous if Node.js did not search for packages in C:\node_modules.

Let’s take a deeper look at both cases and see why this is so dangerous.

Case 1: npm CLI (ZDI-26-043 / ZDI-CAN-25430 / CVE-2026-0775).

Prior to version 11.2.0, npm CLI used a library called “promise-inflight”, which contained an optional dependency on a package called “bluebird”.

Figure 3: npm CLI repo snippet showing require call for missing bluebird package dependency

When Node.js is installed on the system, npm is included by default without the bluebird package. This vulnerability was introduced when bluebird was removed through a well-intentioned pull request (https://github.com/npm/cli/pull/1438/changes), demonstrating how easy it is for developers to unknowingly create this attack surface.

We can see Node’s package resolution logic at work in the screenshot below:

Figure 4: Procmon log showing the package resolution behavior of Node.js via CVE-2026-0775

First, the application looks for the bluebird.js package in the Node.js installation directory. Node.js sequentially searches back to the system root until it finds the package. If an attacker has placed C:\node_modules\bluebird.js, the require call will find, read, and execute the malicious payload in the context of any user running npm on the system.

This vulnerability is especially dangerous because it is triggered when many npm * cli commands are used. Common development commands such as npm install, npm –l, and npm prune will all execute the malicious bluebird.jspackage.

Case 2: Discord (ZDI-26-040/ ZDI-CAN-27057 / CVE-2026-0776/ UNPATCHED)

On April 22, 2025, ZDI received a report for a similar vulnerability in Discord reported by T. Doğa Gelişli. Discord uses the ws WebSocket library, which contains an optional dependency on utf-8-validate for compatibility with older Node.js versions:

Figure 5: websockets library repo snippet showing require call for missing utf-8-validate package dependency

Discord does not ship with the utf-8-validate package. As a result, the following Procmon logs show the same behavior as Case 1. Anytime Discord is launched, the attacker controlled C:\node_modules\utf-8-validate.js is executed.

Figure 6: Procmon log showing the package resolution behavior of Node.js via CVE-2026-0776

The ws library does support disabling this check via the WS_NO_UTF_8_VALIDATE environment variable, but this requires the consuming application (Discord) to set it explicitly. Here’s a quick video demonstrating the bug by popping the calc app when opening Discord:

Discord automatically opens on login by default, so in practice code execution happens immediately without any user interaction. Strangely, the Discord Security team made it clear to us in their responses that they do not consider local attack vectors as valid security issues.

The Bigger Picture

The cases above represent only a few of the applications affected by this pattern. During our investigation we found many other independent reports. These issues in Mongo DB Compass and Mongo DB Shell are just two other examples.

Every Windows application built on Node.js with missing or optional dependencies is potentially vulnerable. This includes desktop applications that utilize Electron as well as popular web frameworks such as Next.js and React.

Each vendor has clearly stated that they will not treat these issues as vulnerabilities:

NPM’s response to our report:

“exploits that require local access to a machine are considered ineligible for npm CLI

Discord’s response to our report:

“We do not consider physical/local attacks as valid security issues”

Node.js, in the “Examples of non-vulnerabilities” section of their Security Policy:

“Node.js trusts the file system in the environment accessible to it. Therefore, it is not a vulnerability if it accesses/loads files from any path that is accessible to it.”

Conclusion

The vulnerability pattern described in this blog stems from a deliberate design decision by Node.js maintainers. While Node.js's position that “applications should trust their filesystem” may hold true on properly administered UNIX systems, it creates a systemic vulnerability on Windows where low-privileged users can write to C:\node_modules. Without a fix from Node.js, the burden silently falls on application developers.

Making matters worse, the vulnerable code may not live in the application code itself. The optional dependencies that trigger this behavior could come from third-party libraries buried in the dependency tree as we saw with both Discord and npm CLI.

We encourage security researchers to further review this issue and investigate other applications for this dangerous behavior. You can find us online at @bobbygould5 and @izobashi, and follow the team on Twitter, Mastodon, LinkedIn, or Bluesky for the latest in exploit techniques and security patches.

DISCLOSURE TIMELINES

NPM CLI:

2024-11-13 – ZDI submitted the report to the vendor

2024-11-13 – The vendor acknowledged the receipt of the report

2024-11-13 – The vendor communicated that the reported behavior was by design and they do not consider local attacks as valid security issues

2025-08-05 – ZDI encouraged the vendor to re-assess the issue

2025-12-18 – ZDI notified the vendor of the intention to publish the case as a 0-day advisory

DISCORD:

2025-07-08 – ZDI notified vendor

2025-09-11 – ZDI followed up with vendor

2025-09-15 – Vendor stated they do not consider local attacks as valid security issues

2025-12-01 – ZDI explained why we believe the issue is still valid

2025-12-10 – Vendor replied that the vulnerability is still out of scope

2025-12-11 – ZDI informed vendor of intent to publish 0-day

REFERENCES

https://nodejs.org/api/modules.html#loading-from-node_modules-folders

https://docs.npmjs.com/cli/v10/configuring-npm/package-json#optionaldependencies

https://groups.google.com/g/nodejs/c/5BGr5dliUIk/m/abJEH3sPymcJ?pli=1

https://github.com/nodejs/node-v0.x-archive/issues/8830

https://bounty.github.com/ineligible.html#vulnerability_in_upstream_dependencies:~:text=eligible%20for%20rewards.-,Local%20access,-Vulnerabilities%20which%20require

https://github.com/nodejs/node/security/policy#examples-of-non-vulnerabilities

CVE-2025-6978: Arbitrary Code Execution in the Arista NG Firewall

Sat, 25 Jul 2026 19:00:44 +0200

In this excerpt of a TrendAI Research Services vulnerability report, Jonathan Lein and Simon Humbert of the TrendAI Research team detail a recently patched command injection vulnerability in the Arista NG Firewall. This bug was originally discovered by Gereon Huppertz and reported through the TrendAI Zero Day Initiative (ZDI) program. Successful exploitation could result in arbitrary command execution under the security context of the root user. The following is a portion of their write-up covering CVE-2025-6798, with a few minimal modifications.

A command injection vulnerability has been reported in Arista NG Firewall. The vulnerability is due to improper validation of user data in the diagnostics component.

A remote, authenticated attacker could exploit this vulnerability by sending crafted requests to the target server. Successful exploitation could result in arbitrary command execution under the security context of the root user.

The Vulnerability

Arista NG Firewall is an open-source firewall appliance. It was originally developed under the name Untangle. Some features of Arista Firewall include spam blocking, bandwidth control, and IPS, etc. NG Firewall can be managed through a web user interface, or a JSON-RPC API using HTTP.

HTTP is a request/response protocol described in RFCs 7230 - 7237 and other RFCs. A request is sent by a client to a server, which in turn sends a response back to the client. An HTTP request consists of a request line, various headers, an empty line, and an optional message body

where CRLF represents the new line sequence Carriage Return (CR) followed by Line Feed (LF). SP represents a space character. Parameters can be passed from the client to the server as name-value pairs in either the Request-URI, or in the message-body, depending on the Method used and Content-Type header. For example, a simple HTTP request passing a parameter named “param” with value “1”, using the GET method might look like:

A corresponding HTTP request using the POST method might look like:

If there is more than one parameter/value pair, they are encoded as '&'-delimited name=value pairs:

var1=value1&var2=value2&var3=value3...

The component relevant to this report is the JSON-RPC endpoint. A JSON object has the following syntax:

•            An object is enclosed in curly braces {}.
•            An object consists of zero or more items delimited by a comma (",") character.
•            An item consists of a key and a value. A key is delimited from its value by a colon (":") character.
•            A key must be a string (enclosed in quotes).
•            A value must be a valid type. Valid types include string, number, JSON object, array, Boolean, or null.
•            An array is an object enclosed in square braces []. An array consists of zero or more string, number, JSON object, array, Boolean or null type-objects delimited by a comma (",") character.

An example JSON object is as follows:

The following is an example of a JSON-RPC request to the runTroubleshooting() method that is relevant to this report:

A command injection vulnerability has been reported in Arista NG Firewall. The vulnerability is due to improper validation of user data that is used in a command line. The runTroubleshooting() method of the class NetworkManagerImpl will be used to handle JSON-RPC requests to the runTroubleshooting method. The command parameter passed to the method will be the first element in the params JSON array in the body of the request. This value must be one of the strings in the TroubleshootingCommands enum defined in the NetworkManager class. The second parameter of the method will contain additional arguments passed to the JSON-RPC call.

The method will first iterate through each of the additional arguments and combine each key value pair into a single string, separated by a "=" character that will later be used as an environment variable. Next, a switch case statement is used to ensure the provided command is one of the values in TroubleshootingCommands. Each command value will be processed using the same code.

The method will next iterate through each environment variable, and inspect it for the following common command injection strings:

; & | > $(

If any are found, the request will be rejected, and an exception is thrown. If each environment variable is valid, the method execEvil() is called to create and execute a command line for the network-troubleshooting.sh script, with the environment variables passed as a parameter. The execEvil() method in turn will call Runtime.getRuntime().exec() to run the script, with the second parameter passing the environment variables that will be used by the script. Each command value will have a function in network-troubleshooting.sh, such as run_dns() for the “DNS” command value. Each function will follow a similar structure, by creating a CMD string using the environment variables passed by exec() and then calling eval to execute it.

However, the values of the parameters passed to the runTroubleshooting JSON-RPC method are not completely sanitized before it is used in the command line. While the parameters passed to the endpoint are inspected for some shell metacharacters, the list is incomplete. For example, the backtick character (`) is not included in the check and may be used to inject a command.

For example:

The example above will write and execute a python script on the server to achieve code execution without using any restricted characters.

A remote, authenticated attacker could exploit this vulnerability by sending a JSON-RPC request to the runTroubleshooting method containing a crafted “HOST” or “URL” parameter containing shell metacharacters not present in the runTroubleshooting() check. Successful exploitation in the worst case will result in arbitrary command execution under the security context of the root user.

Detection Guidance

To detect an attack exploiting this vulnerability, the detection device must monitor and parse traffic on the following ports:
- HTTP, over port 80/TCP
- HTTPS, over port 443/TCP

Traffic to Arista NG Firewall may be encrypted and must be decrypted prior to applying this guidance.

The detection device must search for HTTP POST requests made to the request-URI /admin/JSON-RPC. If found, the body of the request must be parsed as JSON. The JSON object in the body must be inspected for a method key, and its value must be inspected to contain the substring runTroubleshooting. If found, the object must also be inspected for the JSON key "params", with a value containing a JSON array. The first entry in the JSON array must be inspected for any of the following strings:

If found, the second entry in the array must be inspected for a JSON object, and inspected for any of the following keys:

If either is found, the corresponding value to the key must be inspected for any of the following command injection characters:

If found, the traffic should be treated as suspicious; an attack exploiting this vulnerability is likely underway.

The following regular expression can be applied to find malicious requests:

/\x22(HOST|URL)\x22\s*:\s*\x22(?:[^\x22\\]|\\.)*?[\x60\x27\x24\x3c]/

Notes:

• String matching on the request-URI and all JSON strings should be done in a case sensitive manner.
• The JSON strings may be encoded and must be decoded prior to applying this guidance.
• The request-URI may be URL-encoded and must be decoded before applying this guidance.

Conclusion

This vulnerability has been addressed by Arista with their Security Advisory 0123. They note that the Arista Edge Threat Management - Arista Next Generation Firewall (Formerly Untangle) is affected by this bug, but other product versions are not. They also state the following mitigation can be applied:

Do not allow non-authorized administrative access or access to the administrative browser.

However, the more appropriate action is to apply the provided vendor security patch by upgrading to version 17.4 or higher.

Special thanks to Jonathan Lein and Simon Humbert 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.

Stop asking AI nicely: Here’s how to get work-ready results every time

Sat, 25 Jul 2026 18:55:51 +0200

Over the past few years, I have learned that basic prompts produce inconsistent, hallucination-prone results that no executive would trust in production. What turned the tide was my move to advanced prompting techniques. These weren’t theoretical experiments; they became a practical foundation for reliable, measurable outcomes. I want to share the techniques that consistently delivered the biggest gains in my projects, complete with real before-and-after examples, copy-paste templates, lessons from failures and guidance on when to evolve beyond prompting to agentic systems.

Why advanced prompting still matters in enterprise settings

Sophisticated prompting remains essential for control, reliability and compliance. If you “ask nicely” and hope for the best, you need deterministic behavior, auditable reasoning and minimal risk of hallucination. Here’s what worked for me.

1. Chain-of-Thought (CoT) and its variants: Unlocking step-by-step reasoning

The problem: Models would jump to conclusions on complex analysis tasks, especially involving data interpretation or multi-step logic.

What I did: I started explicitly instructing the model to “think step by step” and show its reasoning.

Before (basic prompt): “Analyze last quarter’s sales data and recommend three actions.”

After (CoT prompt):

“You’re a senior business analyst. Analyze the following sales data step by step: [data]. First, identify the key trends. Second, calculate the rates and anomalies. Third, link findings to business context. Finally, recommend the three prioritized actions with expected impact. Explain your reasoning at each step.”

Results: Accuracy and depth improved dramatically.

Variants that worked well: Self-consistency. I ran the same CoT prompt multiple times and took the majority consensus. This reduced variability significantly.

Template you can use:

You are [expert role]. Solve this problem by thinking step by step.

[Task or question]

For each step:

1. State your observation or calculation.

2. Explain the implication.

3. Proceed only when confident.

Final answer in this format: [structured output]

2. Tree-of-Thoughts (ToT): Exploring multiple reasoning paths

For truly complex decisions such as resource allocation or risk assessment, linear CoT isn’t enough. Tree-of-Thoughts lets the model generate and evaluate multiple branches.

Example: I was helping a client evaluate three potential vendor platforms for an AI deployment. A standard prompt gave a superficial comparison. With ToT

Prompt Snippet:

Explore three different reasoning paths for selecting the best vendor platform:

Path 1: Focus on cost and scalability.

Path 2: Focus on security, compliance and integration.

Path 3: Focus on innovation and long-term roadmap.

For each path, evaluate pros/cons against our requirements [list].

Then, compare the paths and recommend the strongest overall option with justification.

Outcome: The model surfaced nuanced trade-offs (e.g., one vendor had superior security, but higher integration cost).

When to use: Strategic planning, troubleshooting or scenarios with high uncertainty and multiple viable approaches.

3. ReAct (Reason+ Act) and prompt chaining: Moving toward agentic behavior

One of the biggest leaps I have noticed comes from combining reasoning with tool use and chaining prompts.

ReAct example: (used in data analytics workflow)

You are an AI analyst with access to tools. For the query below:

1. Reason about what information you need.

2. Choose the appropriate tool or action.

3. Observe the result.

4. Repeat until you can answer confidently.

Query: [user request]

In practice, I chained this with retrieval tools. One automated quarterly compliance reporting; the system reasoned about required data, pulled relevant records, validated them, and generated the reports.

4. Meta-prompting and self-reflection: Letting the model improve itself

Use the model to refine its own prompt. This is a huge time-saver.

You are an expert prompt engineer. Improve the following prompt for clarity, structure and effectiveness with [target model]. Make it more precise while preserving intent.

Original prompt: [paste]

Provide the improved version and explain your changes.

Self-reflection loops (asking the model to critique its own output and revise) are a game-changer for content generation and code-review tasks.

5. Multimodal and structured output techniques

With vision-enabled models, I started combining text with images (e.g., uploading architecture diagrams or dashboards).

Tip from experience: Be extremely specific in describing what the models should focus on.

Best practices I learned the hard way

Start simple, then layer complexity: Over-engineered prompts from Day One usually backfire.
Model specific tuning: Some models respond better to XML delimiters; others to explicit reasoning.
Evaluation and versioning: Treat prompts like code if you track versions and run automated evals.
Security guardrails: Always include instructions against prompt injections and respect data boundaries.
When to stop prompting: For repetitive, high-stakes workflows, move to full agents or an orchestration framework.

Final takeaways for technical leaders

Advanced prompt engineering has now become a core competency for anyone responsible for enterprise AI outcomes. Start by picking one technique and apply it rigorously to a real business problem. Document before/ after and you will notice why it’s worth mastering.

The field continues evolving towards more automated and agentic systems, but the ability to precisely direct AI reasoning remains foundational.

This article is published as part of the Foundry Expert Contributor Network.
Want to join?

5 endpoint blind spots your EDR/XDR was never built to see

Sat, 25 Jul 2026 18:55:47 +0200

In August 2025, 126 malicious packages landed in the npm registry. Even after the community caught the initial wave, 80 of these hidden backdoors remained actively listed.

That was enough. Over 86,000 downloads. Malicious code in PhantomRaven, packages running in the production systems of Fortune 500 companies worldwide. And throughout the entire window, not a single EDR/XDR alert.

This happened because the attack surface has expanded to a layer EDR/XDR was never designed to see: VS Code extensions, local MCP servers, and rogue AI coding assistants that inherit your engineers’ valid credentials to steal data at machine speed.

To eliminate this structural vulnerability, Palo Alto Networks acquired Koi, an AI-native developer security product engineered for proactive, precision enforcement. Below we compiled a 2026 CISO checklist you can use to audit your environment and see how Koi automates each defense from day one.

#1. Gain real-time visibility into shadow AI & extensions

Your existing asset management tracks binaries and installers, but it cannot see local VS Code extensions, MCP servers, or ad-hoc Python scripts running on developer endpoints. This visibility gap was recently exposed by the MaliciousCorgi campaign, where two marketplace extensions with 1.5 million combined installs silently harvested every file a developer opened. Neither triggered any detection because they were not binaries, not executables, not anything your inventory was built to flag. To counter this, Koi closes the gap by analyzing what extensions actually do after installation, exposing hidden data-harvesting channels running inside your active workspace.

#2. Distinguish between human and autonomous agent behavior

When a rogue AI agent exfiltrates your proprietary source code, it uses a developer’s valid credentials during normal working hours, making the session look entirely legitimate to standard XDR baselines. Moving beyond static permission lists, Koi deploys behavioral profiling within the workspace runtime. By actively intercepting unauthenticated background tasks and blocking unauthorized file-system reads, it stops automated data exfiltration in real time.

#3. Establish guardrails for automated package updates on endpoints

Developers prioritize speed, often allowing software packages to auto-update on their endpoints the moment a new version appears. Attackers weaponize this supply chain vulnerability, as seen in the May 2026 Team PCP attack where 3,800 GitHub repositories were compromised in just 36 minutes via poisoned auto-updates. Securing agentic endpoints against these rapid breaches requires behavior-based inspection within the active workspace context. Koi operates at this layer by providing safe deployment buffers that automate version cooldowns, blocking bleeding-edge updates until they are vetted. By continuously auditing process creation within the IDE runtime, Koi instantly drops unauthorized remote connections before malicious payloads can exfiltrate credentials from the endpoint.

#4. Enforce principle of least privilege for AI agents

AI coding assistants inherit the privileges of whoever deployed them. In practice, that means read access to production databases, write access to core repositories, and access to every secret in environment files and configuration directories. To restrict this excessive access, Koi applies dynamic sandboxing directly to AI agent processes at the kernel level. It enforces a strict zero-trust boundary that segregates sensitive workspace vectors, preventing agents from pulling data outside their approved scope without interrupting developer workflows.

#5. Maintain continuous endpoint posture management

Signature-based scanning only stops known threats. Sophisticated repository attacks often arrive as functional, high-rated software that carries no known bad signature. Koi’s research into the DarkSpectre campaign found eight browser extensions, all carrying “featured” badges from Google and Microsoft, installed by over 8 million users, silently harvesting every conversation from ChatGPT, Claude, and Gemini in the background. Koi addresses this by operating upstream: scanning marketplace listings every hour, using LLM-driven code analysis to compare what software promises against what its code does, sandboxing it, and scoring the risk before it ever reaches the endpoint.

Summary

Securing the modern enterprise is no longer about patching individual gaps. As AI agents redefine the workforce, Agentic Endpoint Security (AES) is now a strategic imperative for every CISO. By establishing a mandatory control plane for the AI-native workspace, AES ensures that your organization can scale engineering velocity without ever compromising enterprise integrity.

Ready to secure the future of your software stack? See how Koi Agentic Endpoint Security delivers complete visibility, risk scoring, and real-time prevention across every endpoint in your enterprise.

Ubuntu: Root-Lücke in snapd gefährdet unzählige Linux-Systeme

Sat, 25 Jul 2026 18:52:07 +0200

Zwei Race Conditions in snap-confine verleihen Angreifern unter Linux Root-Zugriff. Mehrere Ubuntu-Versionen sind per Default anfällig. (Security, Ubuntu)

Ubuntu 26.10 "Stonking Stingray": All the New Features So Far

Sat, 25 Jul 2026 10:18:52 +0200

As usual, Canonical is using an interim release to test features headed for the next LTS. Her, we keep a track of the features as they are added.

Linux Foundation Launches Akrites To Coordinate AI-Driven Open Source Security

Sat, 25 Jul 2026 10:12:54 +0200

BrianFagioli writes: The Linux Foundation has announced Akrites, a new initiative to coordinate vulnerability disclosure and remediation for critical open source software as AI dramatically speeds up vulnerability discovery. Founding members include AWS, Google, Microsoft, OpenAI, Red Hat, NVIDIA, IBM, Cisco, JPMorganChase, and others. Akrites will provide a shared Security Incident Response Team (SIRT), a standardized coordinated vulnerability disclosure process, and act as a "maintainer of last resort" for abandoned but widely used packages. The goal is to reduce duplicate reports, avoid conflicting patches, and help upstream maintainers address vulnerabilities before they can be exploited. As AI makes it easier to find security flaws, can a coordinated industry effort help protect open source, or does it risk giving large corporations too much influence over the ecosystem? "Akrites is the largest coordinated effort in history to create systems and deploy tooling that leverages the collective power of the community to make everyone safer," the Linux Foundation said in an open letter. "Akrites participants will contribute engineering resources; work to build and ship fixes; or fund the engineers who do. Some companies have contributed mightily already. The reality is, collectively, we need to contribute more."

Read more of this story at Slashdot.

Firefox Nightly: More Kit, More Control – These Weeks in Firefox: Issue 203

Sat, 25 Jul 2026 08:37:32 +0200

Highlights

James enabled adaptive autofill in Nightly for testing, which we believe should provide better results in the URL bar when doing autocomplete!
Jack updated the illustrations shown on some of our error pages to match the latest approved designs, giving users more polished artwork when the browser encounters connection or security errors!

Controls for the Memories feature can now be set during Smart Window onboarding

We’ve disabled the CSS filter implicitly applied to WebExtension pageAction SVG icons across all release channels starting in Firefox 152, completing the deprecation
- NOTE: The blog post published at WebExtensions API changes in Firefox 149-152 provides to extensions developers more details about this deprecation and links to the related MDN docs.

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 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

Amin Amir cleaned up an incorrect variable assignment in our browsingContext module.
Logan Rosen updated stale references and broken links in our documentation about Marionette.
Sameem improved the Marionette and WebDriver BiDi screenshot commands to enforce maximum allowed dimensions.
Leo McArdle fixed the regression in the “log.entryAdded” event, which lacked an error message in the “text” field for the messages of type “error”.
Henrik Skupin fixed an issue in Marionette where WebDriver:Navigate and WebDriver:Refresh did not handle errors when the underlying navigation failed.
Henrik Skupin improved geckodriver to detect an early Firefox exit during startup on Android, avoiding up to 60 seconds of unnecessary connection attempts.
Henrik Skupin updated the geckodriver CI build job to produce a universal macOS binary supporting both x64 and aarch64.

Lint, Docs and Workflow

Sylvestre ported some linters (e.g. file-whitespace, test-manifest-toml, license, file-perm, rejected-words & more) to Rust to help improve the runtime of the code review bot.
Dale has been working on migration to moz-src for customkeys, dom/quota and odom/geolocation
- https://arewemozsrcyet.com/

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!

Search and Urlbar

Nova (URL Bar Design Refresh)
- Drew and Daisuke continued their work on Nova styling for the Address bar (input and view).
Search and Suggest
- Drew finalized two bugs for World Cup and sports suggestions, which were landed and uplifted: one to update the localization string for scheduled games and another to show both teams’ icons in suggestions. Drew also landed and uplifted a fix for rich search suggestion icons being forced into a square aspect ratio.
- Standard8 updated Ecosia favicons to the latest branding, including QA testing and publishing.
Settings Redesign (SRD)
- Stephanie landed a test to ensure search suggestion settings are hidden when quicksuggest is disabled, as well as a patch to resolve TypeScript issues in search.mjs, and is adding test coverage to confirm removed search engines are not displayed in the default engines dropdown.
General URL Bar and Component Updates
- Daisuke landed implementation of the context menu on URL bar results, and a fix to show the loading URL in the URL bar when starting up with a homepage.
  - Marco is working on several tasks, including a PDF download / focus stealing issue and allowing arrays to be bound in Sqlite.sys.mjs. Marco also worked on fixes related to Places, such as avoiding replacing the favicons database if it is not corrupt.
- Standard8 finalized the URL bar test manifest split. Standard8 also upgraded us to TypeScript 6.
- Moritz landed a fix for URL bar abandonment telemetry being recorded when clicking an engine in the unified search button popup (Bug 2032973), which was also uplifted. Moritz also simplified search mode switcher item activation in tests, and made it so that the unified search button popup closes when installing an open search engine.

Smart Window

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

assistant rendering feedback up/down 2032994 and markdown table 2027029
nova styling blur 2027877 and suggestions 2026823
accessibility screen reader 2028676 and keyboard focus 2037565
optimize conversation starters extra requests 2030005 and caching 2033430

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!

Firefox Nightly: Eyedropper Quick Action, geckodriver 0.37, and Tighter File Permissions – These Weeks in Firefox: Issue 205

Sat, 25 Jul 2026 08:37:28 +0200

Highlights

Dao added a new Eyedropper quick action! Check it out by typing “color” or “eyedropper” in the URL bar (Bug 1803575) on Nightly.

Henrik Skupin released geckodriver 0.37.0, which includes support for several new APIs and various bug fixes. See the release page for details.
Starting from Firefox 153, access to local file: URLs is being restricted by default.
- Extensions now require an explicit “Access local files on your computer” permission, separate from broad host permissions, that users must grant.
- Extensions can call the extension.isAllowedFileSchemeAccess() API to determine whether they have been granted access to file: URLs (Bug 2034168).

Friends of the Firefox team

Resolved bugs (excluding employees)

Script to find new contributors from bug list

Volunteers that fixed more than one bug

:Vincent
Chris Vander Linden
DrSeed
Khalid AlHaddad
Sam Johnson

New contributors (🌟 = first patch)

Francis :mckenfra: tld service for webextensions
any1here: about:preferences#privacy is broken with MOZ_DATA_REPORTING false
pullmana8: Fix protocol/Actor.js to throw an Error instead of an Actor
RAN1: Firefox Crashes on Quit When Running Two Browsers With Separate Profiles

Project Updates

Accessibility

Morgan added a new accessibility-specific, front-end review skill to mozilla central! 🎉 You can read about it, and learn how to use it in the accessibility review source docs.

Add-ons / Web Extensions

Addon Manager & about:addons

Migrated addon-page-header and addon-card action buttons to the reusable moz-button web component as part of the ongoing Nova restyling of about:addons – Bug 2042200 / Bug 2042204
Extended moz-page-nav-button with a forwarded title property to fix an accessibility issue where the component lacked a label in collapsed state; Landed in Firefox 153, and uplifted to Firefox 152 for about:settings which was already riding the 152 release train – Bug 2040971
Fixed a shutdown-timing bug where a pending GMP update-check timer could fire after XPCOMShutdownThreads started, causing a pref write assertion; Fixed in Firefox 153 – Bug 2043803

WebExtensions Framework

Fixed MV2 content scripts incorrectly injecting into guarded hosts because MozDocumentMatcher::MatchesURI was not consulting CheckGuarded when mCheckPermissions was false; Fixed in Firefox 153 – Bug 2041393
Added support for accessing ObservableArray attributes (such as adoptedStyleSheets) from XrayWrappers and extension content scripts, unblocking extensions that rely on this Web API; Fixed in Firefox 153 – Bug 1751346
Wired runtime_blocked_hosts and runtime_allowed_hosts enterprise policy settings through ExtensionSettings to allow administrators to restrict extension host permissions on managed devices, starting in Firefox 153 – Bug 1805205
- Thanks to Mike Kaply for implementing this enterprise policy enhancement.

WebExtension APIs

Fixed promiseTabWhenReady blocking indefinitely on discarded tabs, preventing cleanup of associated resources and potentially causing memory leaks; Fixed in Firefox 153 – Bug 1653876
Fixed webNavigation.onCommitted being dispatched twice for cross-origin iframes loaded under Fission, caused by a redundant OnStateChange trigger firing in addition to OnLocationChange; Fixed in Firefox 153 – Bug 1750196

DevTools

Chris Vander Linden made the Search input component shared as we plan to use it in the Netmonitor as well (#2019260, #2027580, #2027582)
pullmana8 improved error management in the DevTools protocol (#2031735)
Chris H-C :chutten removed Legacy Telemetry devtools instrumentation (#2039650)
:glob ✱ fixed an issue in the Inspector where the swatch color for variable in @starting-style rule could have the wrong color (#2016778)
Nicolas Chevobbe [:nchevobbe] exposed heading level more clearly in the accessibility tree (#1588784) and in the accessibility highlighter (#2044904)

Julian Descottes [:jdescottes] migrated the markup view to HTML (from XHTML) to fix an issue when editing the markup (CodeMirror 6 does not support XHTML) (#2028058)
Nicolas Chevobbe [:nchevobbe] fixed an issue in Netmonitor search where it could appear the the search stalled (#2042405)
Hubert Boma Manilla (:bomsy) added more connection information (ECH, Delegated Credentials, OCSP, Private DNS, …) in Netmonitor Security tab (#2036404)

WebDriver

Khalid AlHaddad improved the window manipulation commands in Marionette and WebDriver BiDi to allow individual window geometry properties, such as x, y, width, and height, to be adjusted independently.
Khalid AlHaddad updated our codebase to use constants instead of hardcoded strings for all our session data types.
Alexandra Borovova updated the “emulation.setLocaleOverride” command to also apply a locale emulation in dedicated and shared workers.
Alexandra Borovova fixed a regression when there would be no “script.realmCreated” events after the cross-origin navigation.

Search and Urlbar

Dharma updated context search actions to trigger search instead of entering search mode @ 1945080
Daisuke and Drew worked on a lot of Nova updates, including ensuring Nova is tested @ 2041255, 2030183, 2019168, 2044849, 2033583
Moritz has worked on several refactorings to allow the urlbar to be used in content @ 2039828, 2039298, 2041280
Middle click paste replaces content was fixed by Moritz @ 2042893
Michel added feature to show registrable domain on desktop after its implementation on mobile @ 1986161

Why Gaming on Linux Suddenly Matters

Sat, 25 Jul 2026 08:36:39 +0200

Author: Techquickie - Bewertung: 24191x - Views:665011

Click this link https://boot.dev/?promo=TECHQUICKIE and use my code TECHQUICKIE to get 25% off your first payment for boot.dev. Thank you Boot.Dev for Sponsoring!

From broken drivers to the Steam Deck selling millions, Linux gaming has gone from "is this the year?" to "wait, it actually works now." But getting here took a decade of tinkering, a billion-dollar bet from Valve, and an open-source community that refused to quit. In this video we talk to Valve and the Batocera project about how Linux quietly became a real threat to Windows - and why Microsoft is playing catch-up.

Leave a reply with your requests for future episodes.

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Purchases made through some store links may provide some compensation to Linus Media Group. Affiliate links powered in part by https://affilimate.com/

Linus Sebastian is an investor in Framework Computer, Inc and HexOS by Eshtek.

Chapters
------------------------------------
0:01 Is this the year of Linux gaming?
0:43 Why Microsoft is usually better
2:03 How Valve is fighting back
3:37 Sponsor
4:14 Steamdeck saved the day
4:50 Windows claps back
6:27 Valve is putting up a fight
7:40 Watch another video

Windows 10 22H2: Notfall-Update für Nicht-ESU-Nutzer veröffentlicht

Sat, 25 Jul 2026 08:24:02 +0200

Microsoft hat ein außerplanmäßiges Update für Windows 10 veröffentlicht. Das Out-of-Band-Update richtet sich auch an Geräte, die noch nicht im Extended Security Updates (ESU)-Programm für Windows 10 registriert sind. (Weiter lesen)

What is a business analyst? A key role for business-IT efficiency

Sat, 25 Jul 2026 06:16:45 +0200

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:

Skills	Salary Boost
ScrumMaster	44%
Microsoft Azure	30%
Supply Chain	27%
Oracle eBusiness Suite	25%
Master Data Management (SAP MDM)	24%
SAP Sales and Distribution (SAP SD)	24%
Product Support	18%
Microsoft Dynamics GP	18%
SAP Quality Management (SAP QM)	18%
Workday Software	15%

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.

CIOs beware: DNS KSK rollover could kick off wave of mysterious outages

Sat, 25 Jul 2026 06:16:22 +0200

Predicting an outage is tricky business, but CIOs might want to circle Oct. 11, 2026, through Jan. 11, 2027, for likely trouble of a potentially widespread and puzzling nature.

That’s because a relatively trivial update to DNSSEC on Oct. 11, one that will take full effect by Jan. 11, is likely to deliver a series of seemingly unrelated system outages. This will come from oceans of dependencies from third-party, shadow, agentic, gen AI, SaaS, homegrown, and legacy apps — among many other quiet executable hiding spots, including virtual environments and containers.

Sai Joshitha Kathari, senior site reliability engineer at payment card giant Visa, says most enterprises have far more DNS-related exposure than they realize because of these many dependencies.

“This has the potential to create real downstream destruction when unresolved failures sit underneath important business functions,” Kathari says.

The danger is that so many of these issues are either unknown to IT or handled by a third-party vendor and no one in IT has had reason to ask those vendors about DNS updates.

“The risky areas are usually not the obvious managed DNS services. They are the older internal applications, hardcoded resolvers, containerized workloads, sidecar configurations, custom scripts, partner integrations, VM images, stale base images, and service-to-service dependencies that nobody has touched in a long time,” Kathari explains. “These systems can keep working quietly for years, then fail during a DNS or certificate-related change because they bypassed the normal platform standards.”

Independent technology analyst Carmi Levy says that CIOs need to take this event very seriously.

“The two-pronged deadline — October 11, 2026, when the new Key Signing Key (KSK) begins signing the root zone, and January 11, 2027, when the old key is retired — should be marked in red on everyone’s calendar, just as December 31, 1999, once was,” Levy says. “Failure to comply could result in websites, critical business applications, and related resources dropping off the face of the Earth once the transition is complete.”

Levy adds: “Custom-built code that lives outside conventional support mechanisms may or may not function when the DNS changes go into effect.”

The DNSSEC update itself is straightforward, but it is also the first significant DNSSEC change — specifically a change in the trust anchor — since 2018.

The rollout statement noted that “the trust anchor is formally known as the Domain Name System Security Extensions (DNSSEC) root zone Key Signing Key (KSK). The KSK is the cryptographic key at the core of the DNSSEC trust anchor and is used to verify that DNS responses are legitimate and have not been modified in transit.”

Expect nearly every enterprise to be impacted

Kim Davies, vice president of IANA Services and president of public technical identifiers at ICANN, says the extent of the impact on enterprises is unknowable, given the nature of shadow IT and other edge cases.

But based on the massive number of dependencies both known and unknown in the typical global enterprise, Davies guesses that just about every enterprise will be impacted, to varying degrees.

“In highly complex organizations, it is very likely there will be some impact in the corners, in the margins, of the organization,” Davies tells CIO. “DNS is such a core technology that underpins everything.”

As the updates propagate, hiccups will materialize, Davies notes. “When the system cannot validate the [DNS] information, it will treat it as suspect and DNS lookups will fail.”

Visa’s Kathari says, “Enterprises should expect some secondary DNS-related glitches when major DNSSEC-related changes happen, not necessarily because the core infrastructure teams will ignore the update, but because large environments have many hidden dependency paths.”

Making this problem far worse, Kathari notes, is that the glitches will likely initially look like anything other thana DNS glitch. That will force IT staff to waste a vast number of hours chasing causes that ultimately prove to be unrelated to the incidents.

“The impact for CIOs is that DNS failures rarely announce themselves as DNS failures. They look like application timeouts, broken logins, failed API calls, queue lag, payment failures, partner connectivity issues, or random regional instability,” Kathari explains. “That makes troubleshooting slower because teams may spend hours looking at the application, database, network, or cloud provider before realizing name resolution is part of the failure path.”

Sanchit Vir Gogia, chief analyst at Greyhound Research, agrees that IT will likely spin its wheels chasing the wrong ghosts.

“A validation failure rarely stays in its lane. It surfaces as an application error, an API timeout, or a reachability problem, which turns a resolver fault into a coordination failure,” Gogia says. “The application team blames the network, the network team blames the cloud, and the user simply watches work stop.”

“Images and templates are the frontier most teams miss,” Gogia adds. “A resolver fixed in summer can be broken again in October the instant a stale golden image is redeployed, because automation no longer lets configuration drift slowly. It restores yesterday’s assumptions at machine speed.”

It is widely expected that enterprises will not have any problems executing the change or, more likely, relying on their hyperscalers to properly handle the change. That is the concern.

“CIOs are being distracted so much with AI and this is such a deep in the weeds infrastructure issue that this can and willcatch people off-guard,” Justin Greis, CEO of consulting firm Acceligence, tells CIO. “I think we’ll see a meaningful number of enterprise disruptions associated with the DNSSEC trust anchor rollover. Not because the update itself is especially difficult, but because it will expose weaknesses that already exist inside many organizations.”

Most enterprise IT operations have had no reason to compile a comprehensive list of all DNS dependencies, but many will be instantly discovered in January.

Potentially widespread fallout

A major retailer, for example, might suddenly be unable to connect with FedEx to arrange for deliveries or a hospital may find that test results are no longer being shared with patient portals. It might manifest as an assembly line that halts because an IIoT component can no longer share files with its vendor system or a truck fleet that stops being tracked.

“There will almost certainly be systems that fall through the cracks. Some will be legacy applications that rely on outdated DNS configurations that have not been updated in years,” Greis says. “Others will be business-unit-developed tools, contractor-built solutions, embedded systems, manufacturing and industrial systems, or highly customized workloads that operate outside normal IT oversight. These are the types of systems that often surface during infrastructure events like this.”

Greis adds that many enterprises will discover in January problems created by their own automation.

“Over time, enterprises build layers of processes, templates, and deployment mechanisms that are reused across teams and environments,” Greis notes. “Even after DNS infrastructure is updated correctly, older settings can inadvertently be reintroduced through routine updates and system changes, creating intermittent and difficult-to-diagnose failures.”

The good news from this situation is that enterprises are not going to likely lose all DNS access if any of these glitches occur. But that may be of no comfort because even if the disruptions are only with small edge cases, that can still cause massive operational disruptions.

Cricket Liu, EVP and chief evangelist at Infoblox, gives the example of a DNS server that responds to factory-floor system queries.

“Or let’s say this disrupts [an enterprise’s key] SaaS application. All name resolution may stop and it will show a server failure. It will not deliver a response whenever I look anything up. That’s not subtle at all,” Liu says. “It’s highly likely that companies are going to see some effects.”

Back in 2017, the switchover was relatively uneventful, giving some CIOs hope that January 2027 will also be a non-event. But given the technology advancements in the last 10 years and the resulting tidal wave of new enterprise tech dependencies, few are realistically expecting no problems this go around.

Impossible to predict what will happen

One of the top network experts on DNS effects in enterprises is Geoff Huston, chief scientist at the Asia Pacific Network Information Centre (APNIC), the regional Internet Registry administering IP addresses for the Asia Pacific region.

Huston says it is difficult to project what will happen in January until it happens.

“Just like the last time, we are flying blind with this key roll. Because nothing really terrible happened last time, there is some confidence that nothing terrible will happen this time, but we just can’t tell in advance as there are no good measurement approaches that allow us to peek inside the trust state of recursive resolvers,” he says.

As for potential edge-case glitches, Huston says it is possible, but if third-party vendors do not properly handle the update, there will be other issues as well, as the KSK cryptographic key used within DNSSEC signs and validates the keys that protect DNS records.

“If it is not standards-compliant, then you have more problems than just the KSK roll,” Huston says, “as it raises the obvious question of ‘What else is not correctly implemented in the DNS resolver that I’m running?’”

As a silver lining, Acceligence’s Greis says any hiccups that result from the DNS KSK update may be a gift in disguise for CIOs.

“The irony is that some of the most business-critical components in the technology stack are often the least visible because they work in the background,” Greis says. January “may reveal how much modern business resilience depends on infrastructure that many organizations rarely examine until something breaks. For CIOs, that’s the real lesson. This is not fundamentally a story about a DNS update. It is a story about operational visibility, resilience, and governance. Organizations that treat the rollover as a routine infrastructure task will likely complete the update and move on. Organizations that use it as an opportunity to understand and strengthen the foundations of their technology environment may gain far more value than simply avoiding an outage.”

Install InputPlumber on Linux: The Complete Input Remapping Guide

Sat, 25 Jul 2026 02:09:35 +0200

InputPlumber is an open source input routing daemon for Linux. Learn how to install it on Arch, Fedora, and Ubuntu, configure YAML profiles, combine multiple gamepads into one device, and remap buttons system-wide.

5 endpoint blind spots your EDR/XDR was never built to see

Sat, 25 Jul 2026 00:18:11 +0200

In August 2025, 126 malicious packages landed in the npm registry. Even after the community caught the initial wave, 80 of these hidden backdoors remained actively listed.

#1. Gain real-time visibility into shadow AI & extensions

#2. Distinguish between human and autonomous agent behavior

#3. Establish guardrails for automated package updates on endpoints

#4. Enforce principle of least privilege for AI agents

#5. Maintain continuous endpoint posture management

Summary

Ready to secure the future of your software stack? See how Koi Agentic Endpoint Security delivers complete visibility, risk scoring, and real-time prevention across every endpoint in your enterprise.

Accelerating AWS Network Firewall troubleshooting with AWS DevOps Agent

Fri, 24 Jul 2026 22:11:14 +0200

When an administrator introduces a rule change in AWS Network Firewall and network connectivity is disrupted, pinpointing the cause requires inspecting multiple points in the traffic path. The firewall gives you stateless and stateful rule engines, domain rules, and routing…

The post Accelerating AWS Network Firewall troubleshooting with AWS DevOps Agent appeared first on IT Security News.

‘Lucky’ Season 1 Episode 3 Recap: Lucky Finally Tracks Down Cary

Fri, 24 Jul 2026 20:27:30 +0200

“Lucky” Season 1, Episode 3 follows Lucky as she searches for Cary and the stolen money, using every trick she learned during her unusual childhood. The episode, titled “Read the Room,” also reveals that Agent Billie Rand’s pursuit of Priscilla has become deeply personal. “Lucky” is a seven-episode Apple TV limited series based on Marissa Stapley’s novel. The first two episodes arrived on July 15, followed by weekly releases through August 19. Episode title: Read the Room Release date: July 22, 2026 Runtime: 45 minutes Spoiler warning for “Lucky” Episode 3 After the failed multimillion-dollar robbery, Lucky remains separated from Cary, who disappeared with their money. She also continues running from Priscilla’s people and the FBI while relying on the criminal skills taught to her by her father, John. Episode 3 begins with a flashback showing John completing a deal for Priscilla as Agent Rand watches nearby. Lucky warns John that the situation will end badly. In the present, Rand follows Lucky’s trail through gas-station security footage, although she remains several steps behind her. Lucky reaches Priscilla’s farm and hides while Dutch questions Noah about fake identification documents. Dutch eventually kills him, allowing Lucky to steal Noah’s identification and search for the person making the fake documents. Lucky crashes a child’s birthday party Before continuing her search, Lucky enters a child’s birthday party to obtain clothes, money and transportation. A flashback shows John teaching young Lucky how to steal at such events, including taking cash envelopes and unattended purses. Lucky leaves the party with a new outfit, enough money to tip a valet and someone else’s car. The scene shows how easily she can enter an unfamiliar environment, gain people’s trust and disappear before anyone notices what happened. At Noah’s home, Lucky discovers that his neighbour creates fake IDs. While studying her previous work, Lucky finds evidence that Cary used her services and adopted the name Colson Smith. Lucky finally finds Cary Lucky manipulates a real-estate agent into giving her access to the property where Cary is staying. While Cary swims nearby, she searches the house and discovers a gun and a laptop protected by a 12-word seed phrase. Cary returns to find the property destroyed and Lucky waiting inside. Meanwhile, Wayne tells Priscilla that he has also discovered Cary’s location, placing both Cary and Lucky in immediate danger. Episode 3 ends with the former partners finally reunited, although their missing money and broken trust remain unresolved. What do you think Cary will tell Lucky, and will they work together against Priscilla? Let us know in the comments.

Ubuntu 26.04 Stopped Notifying Users About Updates, But That Was Intentional

Fri, 24 Jul 2026 20:07:38 +0200

Luckily, a fix is already out, shipped as a security update.

Mobile OS Release: UBports 24.04-2.0

Fri, 24 Jul 2026 18:32:57 +0200

The DistroWatch news feed is brought to you by TUXEDO COMPUTERS. The UBports project has published a new feature update, UBports 24.04-2.0 which introduces web browser updates and support for "notch" areas in output displays. "Ubuntu Touch 24.04-2.0 is a feature update under the same Ubuntu 24.04 base as the previous release. Nonetheless, this release contains exciting updates and....

Firefox’s new tab page adds AI-powered daily crossword widget

Fri, 24 Jul 2026 18:03:46 +0200

More widgets are coming to Firefox’s New Tab page, including an interactive crossword puzzle powered by the AI news reader Particle. The mini crossword game is updated daily, with puzzles based around recent content Particle‘s AI has ingested and summarised that day, and links to articles you can read to help deduce crossword answers. You click on a square to activate the row or column (clicking on it again switches between “Across” and “Down”). You read the clue at the bottom, and then you type in your answer. Use the hint button if you get stuck. If you just want […]

You're reading Firefox’s new tab page adds AI-powered daily crossword widget, a blog post from OMG! Ubuntu. Do not reproduce elsewhere without permission.

Security: Mehrere Probleme in Linux (Ubuntu)

Fri, 24 Jul 2026 18:02:13 +0200

De Vlieger: The Fedora 45 sausage factory

Fri, 24 Jul 2026 17:15:45 +0200

Fedora contributor Simon de Vlieger has published a blog post with a walkthrough of how the project turns source code and packages into the final release that users install on their systems.

It follows the a package from a packager's git push to a composed release: ISOs, cloud images, container images, and OSTree deployments.

The walkthrough describes how the Fedora 'sausage' is created as of Fedora 45, things change all the time; I hope to have time to update this document every cycle or every few cycles of Fedora releases so there's both history and people can find up to date information.

Security updates for Friday

Fri, 24 Jul 2026 15:13:19 +0200

Security updates have been issued by AlmaLinux (glibc, java-21-openjdk, kernel, and libpq), Debian (imagemagick, spice-vdagent, and webkit2gtk), Fedora (cryptlib, dotnet8.0, dotnet9.0, firefox, python-black, python-lsp-black, and python-pytokens), Mageia (apache, cifs-utils, dnsmasq, lrzip, and socat), Oracle (.NET 10.0, .NET 9.0, 389-ds-base, cups, edk2, fence-agents, firefox, freeipmi, freerdp, git-lfs, glib2, gnutls, golang, gstreamer1-plugins-bad-free, gstreamer1-plugins-good, gstreamer1-plugins-ugly-free, hplip, libinput, libvirt, libxml2, memcached, nginx, openexr, perl-DBI, perl-XML-LibXML, php, php8.4, plexus-utils, postgresql16, python3.12, python3.14, sssd, tomcat, tomcat9, unbound, vim, xorg-x11-server-Xwayland, yggdrasil, and yggdrasil-worker-package-manager), Red Hat (container-tools:rhel8, git-lfs, go-toolset:rhel8, golang, golang-github-openprinting-ipp-usb, grafana, grafana-pcp, host-metering, java-1.8.0-openjdk, java-11-openjdk with Extended Lifecycle Support, java-17-openjdk, java-21-openjdk, oci-seccomp-bpf-hook, rhc, rhc-worker-playbook, skopeo, xorg-x11-server, xorg-x11-server-Xwayland, and yggdrasil), Slackware (mozilla-thunderbird), SUSE (afterburn, alloy, apache-sshd, apache2, avahi, chromium, clamav, curl, dhcpcd, dnsmasq, docker-compose, ffmpeg-7, firefox-esr, gawk, glibc, gnutls, go1.26-openssl, google-osconfig-agent, gpg2, haproxy, ImageMagick, imagemagick, jline3, jq, kernel, libgcrypt, libgnt, meson, pidgin, nmap, nodejs24, pacemaker, patch, perl-HTML-Parser, perl-libwww-perl, perl-List-SomeUtils-XS, python-aiohttp, python-WebOb, qemu, rust-keylime, SVT-AV1, libyuv0, libaom3, trivy, ucode-intel, and wireshark), and Ubuntu (libhttp-date-perl, libxpm, linux-azure, linux-azure-fde, pam, and rsyslog).

8 Claude Skills I Use Everyday as a DevOps Engineer

Fri, 24 Jul 2026 13:30:07 +0200

Sharing the skills I use for troubleshooting and other purposes as a devops engineer. They are primarily for Claude but should work with other AI tools, too.

Rechteausweitung in snap-confine gewährt Root-Zugriff unter Ubuntu

Fri, 24 Jul 2026 13:26:03 +0200

Sicherheitsforscher haben eine Lücke in snap-confine unter Ubuntu entdeckt. Lokale Nutzer können dadurch Root-Rechte erlangen. Patches stehen bereit.

Tags: #Cyber Crime | #Ubuntu

Top AIs invent same fake PyPl and npm package names

Fri, 24 Jul 2026 12:56:02 +0200

Enterprise software developers continue to be in danger of falling victim to slopsquatting, where AI coding tools hallucinate the existence of nonexistent libraries and hackers create malicious packages in response.

The top AI coding tools are remarkably consistent in their hallucinations: Researcher Aleksandr Churilov found the same 127 fake package names generated by five different LLMs.

Slopsquatting is a relatively new form of malware attack that involves the creation of malicious packages in response to the hallucinations of AI coding tools, causing the malicious packages to be incorporated into legitimate applications.

Churilov set out his findings in a research paper, The Range Shrinks, the Threat Remains: Re-evaluating LLM Package Hallucinations on the 2026 Frontier-Model Cohort, which is yet to be peer-reviewed. He found 127 hallucinated package names were shared across Claude Sonnet 4.6, Claude Haiku 4.5, GPT-5.4-mini, Gemini 2.5 Pro, and DeepSeek V3.2.

As of April this year, 53 of those names — 41 on the PyPI software repository and 12 on npm —are still available for registration.

According to the study, there are two reasons for this amount of conformity in the output of the models. First, models may learn the same incorrect package references from shared public training material, such as tutorials and documentation.

Second, they may independently extrapolate plausible names from ecosystem conventions. In this way, they could produce names that look correct, even if they don’t actually exist.

While Churilov’s research will worry CISOs and security-conscious developers, there is some relief. The research has not yet found any evidence that any of the remaining 53 names have been registered maliciously, nor used in an attack.

This article first appeared on InfoWorld.

Top AIs invent same fake PyPl and npm package names

Fri, 24 Jul 2026 12:51:25 +0200

The top AI coding tools are remarkably consistent in their hallucinations: Researcher Aleksandr Churilov found the same 127 fake package names generated by five different LLMs.

As of April this year, 53 of those names — 41 on the PyPI software repository and 12 on npm —are still available for registration.

Second, they may independently extrapolate plausible names from ecosystem conventions. In this way, they could produce names that look correct, even if they don’t actually exist.

“Trusted human curation is becoming increasingly valuable”: This new Squarespace marketplace wants to fix broken search

Fri, 24 Jul 2026 12:50:09 +0200

Could curation be a better approach to discovering the tools, templates, and services you need?

What is a business analyst? A key role for business-IT efficiency

Fri, 24 Jul 2026 12:09:04 +0200

What is a business analyst?

Impact of AI on business analyst role

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.

Business analyst job description

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.

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

Skills	Salary Boost
ScrumMaster	44%
Microsoft Azure	30%
Supply Chain	27%
Oracle eBusiness Suite	25%
Master Data Management (SAP MDM)	24%
SAP Sales and Distribution (SAP SD)	24%
Product Support	18%
Microsoft Dynamics GP	18%
SAP Quality Management (SAP QM)	18%
Workday Software	15%

For tips on boosting your salary, click here.

Business analyst certifications

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

CIOs beware: DNS KSK rollover could kick off wave of mysterious outages

Fri, 24 Jul 2026 12:09:00 +0200

Predicting an outage is tricky business, but CIOs might want to circle Oct. 11, 2026, through Jan. 11, 2027, for likely trouble of a potentially widespread and puzzling nature.

Sai Joshitha Kathari, senior site reliability engineer at payment card giant Visa, says most enterprises have far more DNS-related exposure than they realize because of these many dependencies.

“This has the potential to create real downstream destruction when unresolved failures sit underneath important business functions,” Kathari says.

The danger is that so many of these issues are either unknown to IT or handled by a third-party vendor and no one in IT has had reason to ask those vendors about DNS updates.

Independent technology analyst Carmi Levy says that CIOs need to take this event very seriously.

Levy adds: “Custom-built code that lives outside conventional support mechanisms may or may not function when the DNS changes go into effect.”

The DNSSEC update itself is straightforward, but it is also the first significant DNSSEC change — specifically a change in the trust anchor — since 2018.

Expect nearly every enterprise to be impacted

But based on the massive number of dependencies both known and unknown in the typical global enterprise, Davies guesses that just about every enterprise will be impacted, to varying degrees.

As the updates propagate, hiccups will materialize, Davies notes. “When the system cannot validate the [DNS] information, it will treat it as suspect and DNS lookups will fail.”

Sanchit Vir Gogia, chief analyst at Greyhound Research, agrees that IT will likely spin its wheels chasing the wrong ghosts.

It is widely expected that enterprises will not have any problems executing the change or, more likely, relying on their hyperscalers to properly handle the change. That is the concern.

Most enterprise IT operations have had no reason to compile a comprehensive list of all DNS dependencies, but many will be instantly discovered in January.

Potentially widespread fallout

Greis adds that many enterprises will discover in January problems created by their own automation.

Cricket Liu, EVP and chief evangelist at Infoblox, gives the example of a DNS server that responds to factory-floor system queries.

Impossible to predict what will happen

Huston says it is difficult to project what will happen in January until it happens.

As a silver lining, Acceligence’s Greis says any hiccups that result from the DNS KSK update may be a gift in disguise for CIOs.

Windows Win+K-style cast panel for GNOME on Ubuntu - AirPlay, Miracast, and Chromecast

Fri, 24 Jul 2026 10:02:53 +0200

I want to discuss the gaps in UX between the most popular distros vs Mac and Windows.

I've been cooking this up for about 2 months.

It's not novel, complicated, or special.

it's just a pill/cli that glues existing casting tools together so Ubuntu can have the same Super+K shortcut as Windows.

If you could add a quick settings pill to Ubuntu, what would it be?

https://github.com/asuramaya/kast

submitted by /u/SingularityDreaming
[link] [comments]

v17.1.1: fix(ci): repaired native builds broken by native audio stack deps

Fri, 24 Jul 2026 09:40:00 +0200

Added ensure-cmake action installing pinned cmake/ninja on omp-kata pods; audiopus_sys builds bundled libopus via CMake (Ninja for MSVC cross).
Set CMAKE_POLICY_VERSION_MINIMUM=3.5 globally and in build-native.ts: the bundled opus tree declares cmake_minimum_required below 3.5, which CMake 4.x refuses.
Dropped the -C target-cpu=native fallback for non-x64 native builds: it baked build-host CPU features into shipped darwin arm64 addons and trips ring 0.17's aarch64-apple const assertion.

Malicious RubyGems Turn Developer Machines Into Monero Miners and Spread Through SSH

Fri, 24 Jul 2026 08:41:01 +0200

A malicious RubyGems campaign has turned seemingly useful developer packages into tools for hidden cryptocurrency mining. The poisoned packages can consume a machine’s computing power, slow down development work, and quietly generate Monero for the attackers. The campaign also goes…

The post Malicious RubyGems Turn Developer Machines Into Monero Miners and Spread Through SSH appeared first on IT Security News.

CVE-2026-47669 | DbGate up to 7.1.8 ZIP unzipDirectory.js unzipDirectory path traversal (EUVD-2026-48377)

Fri, 24 Jul 2026 08:27:55 +0200

A vulnerability described as very critical has been identified in DbGate up to 7.1.8. This affects the function unzipDirectory of the file packages/api/src/shell/unzipDirectory.js of the component ZIP Handler. Executing a manipulation can lead to path traversal. This vulnerability is handled as CVE-2026-47669. The attack can be executed remotely. There is not any exploit available. Upgrading the affected component is recommended.

Malicious RubyGems Wait Five Hours and Detect Sandboxes Before Starting Monero Mining

Fri, 24 Jul 2026 08:26:47 +0200

Security researchers Moe Ghasemisharif, Ruian Duan, Zhanhao Chen, and Daiping Liu have uncovered a RubyGems cryptojacking campaign that distributed trojanized copies of popular Ruby libraries. The malicious packages delay execution for five hours, check for sandboxed environments, and then deploy the XMRig miner to secretly mine Monero on compromised systems. The campaign involves at least […]

The post Malicious RubyGems Wait Five Hours and Detect Sandboxes Before Starting Monero Mining appeared first on Cyber Security News.

So erstellen und verstehen Sie den WLAN-Report in Windows

Fri, 24 Jul 2026 08:18:32 +0200

Können Geräte keine Verbindung zum WLAN herstellen oder läuft die Datenübertragung plötzlich lediglich noch im Schneckentempo, ist die Ursache oftmals schwer zu bestimmen. Der Fehler kann an veralteten oder beschädigten Treibern liegen, an einem überlasteten oder falsch konfigurierten Router, an Störsignalen durch benachbarte Funknetze oder daran, dass der Client zu weit vom Router entfernt ist.

Um sich einen Überblick über den WLAN-Status zu verschaffen und damit diese Probleme zu lösen, bringt Windows ein spezielles Tool mit: Es liefert Ihnen in Sekundenschnelle eine Übersicht zu Ihrem Netzwerk. Hierzu benötigen Sie die Kommandozeile oder Powershell: Starten Sie das gewünschte Eingabeprogramm, indem Sie in der Taskleiste in das Suchfeld Eingabeaufforderung oder Power shell eingeben.

Achten Sie darauf, dass der Treffer markiert ist und klicken Sie dann auf der rechten Seite auf „Als Administrator ausführen“. In der Eingabeaufforderung tippen Sie den Befehl netsh wlan show wlanreport ein und bestätigen mit Enter. Windows erzeugt nun den WLAN-Bericht und speichert ihn in der Datei „wlan-report-latest.html“ in dem Ordner „C:\ProgramData\Microsoft\Windows\WlanReport“.

Foundry

Am besten markieren Sie diesen Pfad direkt in der Eingabeaufforderung mit der Maus und übernehmen ihn mit Strg-C in die Zwischenablage. Öffnen Sie danach das Suchfeld in der Taskleiste, kopieren Sie den Pfad mit Strg-V hinein und bestätigen Sie mittels Enter. Windows ruft nun Ihren Standardbrowser auf und lädt die HTML-Datei des Berichts. Falls das nicht funktioniert, steuern Sie den Ordner über den Explorer an.

Allerdings ist das Verzeichnis in den Standardeinstellungen versteckt – Sie müssen es zunächst über die Einstellungen des Explorers sichtbar machen. Klicken Sie anschließend doppelt auf die HTML-Datei, um sie im Browser zu öffnen. Im Bericht sehen Sie ganz oben eine Übersicht der WLAN-Ereignisse der letzten 48 Stunden. Sie können über einzelne Verbindungen mit der Maus fahren, um Details einzusehen.

Die Ereignisse sind mit farbigen Punkten und Buchstaben gekennzeichnet: Ein schwarzes X auf rotem Grund steht beispielsweise für einen Fehler, N zeigt an, dass die Verbindung zu einem WLAN unterbrochen wurde. Weiter unten finden Sie bei „Report Info“ das Datum, an dem der Bericht erzeugt wurde, sowie die Berichtsdauer.

Foundry

Darunter folgt die „General System Info“, die Details zur Hardware, zum Bios und zur Windows-Version verrät. Diese Daten können beispielsweise bei Kompatibilitätsproblemen helfen. Der Abschnitt „User Info“ nennt einige grundlegende Benutzerdaten:

Darunter finden Sie bei „Network Adapters“ die installierten Netzwerkadapter, und zwar sowohl den oder die Hardwareadapter sowie Softwareadapter, beispielsweise für eine VPN-Verbindung oder für Bluetooth und virtuelle Adapter. Bei „Script Output“ beginnt die Anzeige der Ausgabebildschirme von einigen Troubleshooting-Tools in Windows.

So liefert der Befehl ipconfig /all zum Beispiel Angaben zur aktuellen Netzwerkkonfiguration sämtlicher Adapter. Das Kommando netsh wlan show all ermittelt Daten zu den installierten Netzwerktreibern, Details zu Ihrem WLAN und den in der Vergangenheit genutzten Access Points.

Foundry

Darüber hinaus führt Windows für den Bericht den Befehl certutil aus, der Ihnen weitere Einzelheiten über die verschiedenen WLAN-Profile präsentiert. Weiter unten folgt im Bereich „Summary“ ein Überblick über die erfolgreichen und die gescheiterten WLAN-Verbindungen. Dort nennt der Bericht auch die Gründe, warum beispielsweise der Kontakt zu einem WLAN verlorengegangen ist.

Diese Informationen sind oft besonders hilfreich, wenn es um die Fehlersuche im Netzwerk geht. Ganz am Schluss des Berichts steht der Abschnitt „Wireless Sessions“: Dort sind den WLAN-Adaptern unter anderem Informationen zur Verbindungsmethode und der SSID des WLAN zugeordnet. Des Weiteren stehen an dieser Stelle die Event-IDs und Beschreibungen der Ereignisse beim Aufbau der Verbindung.

Auch daraus lassen sich Schlussfolgerungen für die Lösung von Verbindungsproblemen ziehen.

Lesetipp: Die besten Tools für WLAN & Heimnetz

Malicious RubyGems Turn Developer Machines Into Monero Miners and Spread Through SSH

Fri, 24 Jul 2026 08:09:51 +0200

The post Malicious RubyGems Turn Developer Machines Into Monero Miners and Spread Through SSH appeared first on Cyber Security News.

Fix App Not Installed As Package Appears To Be Invalid

Fri, 24 Jul 2026 07:15:26 +0200

Key TakeawaysIssue of 'App Not Installed As Package Appears To Be Invalid' arises from non-Play Store app installations on Android devices.Troubleshooting steps include restarting the device, checking storage availability, downloading the app again from a reliable source, verifying device architecture compatibility, disabling Google Play Protect temporarily, deleting existing app data, resetting app preferences, and trying […]

The post Fix App Not Installed As Package Appears To Be Invalid appeared first on iTech Hacks.

136 Malicious RubyGems Packages Deploy XMRig Miner and Spread via SSH

Fri, 24 Jul 2026 07:15:00 +0200

A large-scale supply chain attack has flooded RubyGems with 136 trojanized packages that deploy an XMRig Monero miner and self-propagate via SSH, underscoring systemic weaknesses in language ecosystems beyond npm and PyPI. On July 22, 2026, researchers Moe Ghasemisharif, Ruian…

The post 136 Malicious RubyGems Packages Deploy XMRig Miner and Spread via SSH appeared first on IT Security News.

CVE-2026-8933: Ubuntu snap-confine ermöglicht lokalen Root-Zugriff auf Standard-Installationen

Fri, 24 Jul 2026 06:59:40 +0200

LONDON (IT BOLTWISE) – In Ubuntu-Desktop-Installationen öffnet eine lokale Schwachstelle in snap-confine potenziell die Tür zu Root-Rechten. Betroffen sind Standard-Setups von Ubuntu Desktop 24.04, 25.10 und 26.04, bewertet mit CVSS 7,8. Der Fehler entsteht durch eine unbeabsichtigte Race-Condition während der Sandbox-Initialisierung, die während der Einrichtung nur kurzzeitig gefährliche Besitz- und Rechtezustände zulässt. Für Unternehmen zählt […]

... den vollständigen Artikel »CVE-2026-8933: Ubuntu snap-confine ermöglicht lokalen Root-Zugriff auf Standard-Installationen« lesen

Dieser Beitrag CVE-2026-8933: Ubuntu snap-confine ermöglicht lokalen Root-Zugriff auf Standard-Installationen erschien als erstes auf IT BOLTWISE x Artificial Intelligence.

136 Malicious RubyGems Packages Deploy XMRig Miner and Spread via SSH

Fri, 24 Jul 2026 06:59:30 +0200

The post 136 Malicious RubyGems Packages Deploy XMRig Miner and Spread via SSH appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

2.7.11: Backport security fixes to release/2.7 (#41155)

Fri, 24 Jul 2026 02:33:47 +0200

Bump Microsoft.NETCore.App.Runtime to 10.0.8 (CVE-2026-32175) (#40581)

Fixes Dependabot alerts #24 and #25.

Co-authored-by: Ben Hillis benhillis@microsoft.com
Co-authored-by: Copilot 223556219+Copilot@users.noreply.github.com
(cherry picked from commit 09a8afe)

Update MSRDC to 1.2.7214 to fix CVE-2026-32157 (#40882)

Bumps Microsoft.RemoteDesktop.Client.MSRDC.SessionHost from 1.2.6676 to
1.2.7214. This closes CVE-2026-32157 (a use-after-free RCE in the Remote
Desktop client, first fixed in 1.2.7099) along with several additional
CVEs shipped in 1.2.7214.

Fixes #40868

Co-authored-by: Ben Hillis benhill@ntdev.microsoft.com
Co-authored-by: Copilot 223556219+Copilot@users.noreply.github.com
(cherry picked from commit 2a7269e)

Update .NET runtime to 10.0.9 to fix CVE-2026-45491 (#40883)

Bumps Microsoft.NETCore.App.Runtime.win-x64 and win-arm64 from 10.0.8 to
10.0.9 to address CVE-2026-45491 (.NET tampering vulnerability), reported
by Dependabot. Both runtime packages are bumped together to keep the
.NET runtime version in sync across architectures.

Co-authored-by: Ben Hillis benhill@ntdev.microsoft.com
Co-authored-by: Copilot 223556219+Copilot@users.noreply.github.com
(cherry picked from commit 73a6afb)

Co-authored-by: Ben Hillis benhillis@microsoft.com
Co-authored-by: Copilot 223556219+Copilot@users.noreply.github.com
Co-authored-by: Ben Hillis benhill@ntdev.microsoft.com

How to Update Cryptsetup for AF_ALG Compatibility

Fri, 24 Jul 2026 02:10:35 +0200

Cryptsetup 2.8.7 addresses the AF_ALG fallout affecting encrypted Linux systems. This guide walks you through updating cryptsetup across Ubuntu, Fedora, and Arch, verifying LUKS volumes work correctly, testing encryption performance, and troubleshooting boot issues to avoid failures.

Codeberg bans hosting ‘mostly’ AI-generated code

Fri, 24 Jul 2026 01:57:37 +0200

Codeberg, the nonprofit alternative to GitHub used to host FLOSS projects, will no longer host software that’s “mostly” AI-generated. A vote closed yesterday (22 July, 2026), passing 358 to 144 with 14 abstentions on roughly 50% turnout to stop hosting software that’s largely vibe-coded. A second motion, also passed, commits Codeberg to never training AI models on hosted code or user data. Not that it was ever likely to. A Terms of Use amendment now prohibits projects that “mostly consist of code written by” generative AI tools. In a blog post, Codeberg explains the economic need for a ban, explaining […]

You're reading Codeberg bans hosting ‘mostly’ AI-generated code, a blog post from OMG! Ubuntu. Do not reproduce elsewhere without permission.

Fixing Vulns Is Harder Than Finding Them - PSW #936

Thu, 23 Jul 2026 23:17:52 +0200

Author: Security Weekly - A CRA Resource - Bewertung: 0x - Views:5

In the news this week:

- InfraTrust and knowing what to patch
- Adversary in the middle triggered command injection
- Exploitarium again
- FreeRDP comes with free vulnerabilities
- AI breaking out of sandboxes on its own
- Wordpress RCE
- DMA dangers
- Nightmware eclypse is at it again
- Fortisandbox
- Turning AI to the dark side
- more prompt injection
- Secure boot is broken, still and again...

Visit https://www.securityweekly.com/psw for all the latest episodes!

Show Notes: https://securityweekly.com/psw-936

Fixing Vulns Is Harder Than Finding Them - PSW #936

Thu, 23 Jul 2026 23:13:15 +0200

In the news this week:

InfraTrust and knowing what to patch
Adversary in the middle triggered command injection
Exploitarium again
FreeRDP comes with free vulnerabilities
AI breaking out of sandboxes on its own
Wordpress RCE
DMA dangers
Nightmware eclypse is at it again
Fortisandbox
Turning AI to the dark side
more prompt injection
Secure boot is broken, still and again...

Visit https://www.securityweekly.com/psw for all the latest episodes!

Show Notes: https://securityweekly.com/psw-936

Security: Mehrere Probleme in Linux (Ubuntu)

Thu, 23 Jul 2026 22:56:20 +0200

Security: Mehrere Probleme in Linux (Ubuntu)

Thu, 23 Jul 2026 22:56:19 +0200

Security: Mehrere Probleme in Linux (Ubuntu)

Thu, 23 Jul 2026 22:56:17 +0200

Security: Mehrere Probleme in Linux (Ubuntu)

Thu, 23 Jul 2026 22:56:16 +0200

Security: Zwei Probleme in Apache Commons BeanUtils (Ubuntu)

Thu, 23 Jul 2026 22:56:15 +0200

Security: Preisgabe von Informationen in mod_jk (Ubuntu)

Thu, 23 Jul 2026 22:56:13 +0200

Security: Mehrere Probleme in Linux (Ubuntu)

Thu, 23 Jul 2026 22:56:12 +0200

Security: Mehrere Probleme in Linux (Ubuntu)

Thu, 23 Jul 2026 22:56:08 +0200

Security: Mehrere Probleme in Linux (Ubuntu)

Thu, 23 Jul 2026 22:56:06 +0200

Security: Mehrere Probleme in Linux (Ubuntu)

Thu, 23 Jul 2026 22:56:04 +0200

Security: Denial of Service in HTTP-Date (Ubuntu)

Thu, 23 Jul 2026 22:56:02 +0200

Security: Preisgabe von Informationen in PAM (Ubuntu)

Thu, 23 Jul 2026 22:55:35 +0200

Security: Denial of Service in rsyslog (Ubuntu)

Thu, 23 Jul 2026 22:55:27 +0200

Security: Denial of Service in libXpm (Ubuntu)

Thu, 23 Jul 2026 22:55:14 +0200

Ubuntu Sicherheitslücke (CVE-2026-8933)Borns IT- und Windows-Blog - BornCity

Thu, 23 Jul 2026 22:00:08 +0200

Ursache ist eine Security-Hardening-Änderung, die unbeabsichtigt eine Race Condition während der Sandbox-Initialisierung eingeführt hat. eBook: UEFI- ...

New pip flag fixes longstanding Python frustration

Thu, 23 Jul 2026 21:27:38 +0200

A new version of Python’s native package management tool, pip, will remove a limitation that has frustrated Python developers for years. If you wanted to install the dependencies for a given package, but not install the package itself, you were stuck. Either you had to extract the dependency list from the package and install it by hand, or you had to build the whole package anyway.

Why was this a problem? Sometimes, you want only the dependencies for a package—for instance, as a way to create a separate environment for testing or another project. If you’re making source distributions via CI, some requirements might be needed to make the source distribution but aren’t actually included in it (e.g., Cython). You would need to install these requirements somewhere—apart from the project itself—to perform the build step.

A dependencies-only install mode for packages is a long-requested feature. Developer James O’Claire found many examples of such requests, along with various workarounds. Most of those involved third-party solutions of some sort.

Now, a new feature set to land in pip version 26.2 will fix this problem from the inside. The command pip install --only-deps will install only the dependencies for a given package. Note that it will not install build dependencies for the package, but only runtime dependencies.

Note that you can accomplish this with existing third-party tools. For instance, uv sync --no-install-project has the same behavior. But having this functionality right inside pip means you don’t have to turn to external tooling—or ugly hacks—to solve the problem. This may be an example of how third-party projects like uv (a superfast Python package installer) are inspiring native Python features where they make sense.

pip 26.2 is scheduled to be released by the end of July 2026.

New Alpha Release: Tor Browser 16.0a9

Thu, 23 Jul 2026 20:25:02 +0200

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!).

🤖 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:

All Platforms
- Updated NoScript to 13.6.30.90201984
- Bug tor-browser#43819: Show custom security level on android
- Bug tor-browser#44748: Revert Funding the Commons Implementations
- Bug tor-browser#44811: Remove the lock on pdfjs.disable.
- Bug tor-browser#45101: Rebase Tor Browser onto 153.0esr
- Bug tor-browser#45131: Security level is using an unsafe getBoolPref
- Bug tor-browser-build#41831: Update libevent to 2.1.13
Windows + macOS + Linux
- Updated Firefox to 153.0esr
- Bug tor-browser#44439: Remove translate action from urlbar
- Bug tor-browser#44883: Remove urlbar quick action for labs
- Bug tor-browser#45029: Convert connection status settings to new design and config approach
- Bug tor-browser#45055: Rename --color-gray-05 to --color-gray-0
- Bug tor-browser#45081: Use the new "Acorn" icons on desktop
- Bug tor-browser#45110: Disable the settings redesign until ready for us
- Bug tor-browser#45112: Missing CSS border tokens in 153
- Bug tor-browser#45132: nsAppFileLocationProvider.cpp: use of undeclared identifier 'XRE_EXECUTABLE_FILE'
- Bug tor-browser-build#41800: Create a script that adapts the Tor Browser manual HTMLs to work in Tor Browser
macOS
- Bug tor-browser#45108: Artifact generation fails due to missing .DS_Store in the branding directories
Android
- Updated GeckoView to 153.0esr
- Bug tor-browser#43820: Use SecurityLevel integration on android
- Bug tor-browser#44157: Remove secret setting toggle for Tab Management Redesign
- Bug tor-browser#45045: Remove moz asset in Downloads screen
- Bug tor-browser#45103: Disable broken "tab management"
- Bug tor-browser#45109: No value passed for parameter 'jsEnabled'
- Bug tor-browser#45118: Audit and disable Mozilla VPN promo
- Bug tor-browser#45130: Clean up TorHomePage padding
Build System
- All Platforms
  - Bug tor-browser-build#41838: Update personal_access_tokens URL in tools/fetch_changelogs.py
- Windows + Linux + Android
  - Updated Go to 1.26.5
- Windows
  - Bug tor-browser-build#41819: Fix windows-rs URL in projects/firefox/config

The agent evaluation gap: Enterprise AI organizations have a reality-alignment problem, not a coverage problem — and most are shipping to production anyway

Thu, 23 Jul 2026 19:19:44 +0200

Across 157 enterprises, organizations are granting AI agents more autonomy while trusting the evaluations meant to gate that autonomy less. Half have already shipped an agent that passed their internal evaluations and then failed a customer in production; only one in twenty fully trusts automated evaluation today; and the most-cited weakness is that evaluations do not align with real-world outcomes. Yet two-thirds already allow, or are actively engineering toward, deploying agent changes to production on automated evaluation alone — with no human in the loop. The result is an evaluation gap — the distance between how much autonomy enterprises are handing their agents and how far they trust the tests that are supposed to catch the failures.

This wave of VentureBeat Pulse Research examines how technical leaders measure agent performance: which reliability and evaluation platforms they use, how they select and trust them, what breaks in production, and how far they are willing to let agents run without a human in the loop.

The central finding is an evaluation gap — the distance between the autonomy enterprises are granting their agents and the trust they place in the evaluations meant to govern it. Half of organizations (50%) have, in the past year, deployed an agent or LLM feature that passed their internal evaluations and then caused a customer-facing failure, and a quarter have seen it happen more than once. Trust in the tests themselves is thin: only 5% say they fully trust automated evaluation today, and the single most-cited limitation is that evaluations align poorly with real-world outcomes (29%). Enterprises are discovering that a passing eval is not the same as a working agent.

What makes the gap consequential is the direction of travel. Two-thirds of organizations (66%) already permit fully automated, zero-human-in-the-loop deployment for low-risk agents (34%) or are actively engineering their pipelines to allow it within twelve months (33%). At the same time, the evaluation stack that would have to earn that trust is fragmented and immature: the most common primary tools are the model providers’ native evals, tied with having no dedicated tooling at all (17% each); and only about a quarter of enterprises run real-time quality checks on live production traffic. The autonomy is arriving faster than the assurance.

Methodology

VentureBeat fielded this survey as part of its ongoing Pulse Research series, this survey — the Agentic Reliability & Evals tracker — focused on how technical leaders evaluate agent performance and reliability. Responses are filtered to organizations with 100 or more employees (n=157), drawn from a single survey in June 2026; because this is one wave rather than a pooled multi-month sample, the report reads cross-sectionally and does not infer month-over-month trends. Where questions were multiple-select, those shares can sum to more than 100%.

By role the sample is senior and buyer-credible: 38% are final decision-makers for AI purchases and another 34% recommenders or influencers. Product and program managers (15%), consultants and advisors (10%), directors of engineering/IT (8%), and CIOs/CTOs/CISOs (8%) lead the named titles, alongside a large “Other” function (37%). By organization size the sample is mid-market-weighted: 100–499 (37%) and 500–2,499 (27%) employees lead, with 2,500–9,999 (20%), 10,000–49,999 (10%), and 50,000+ (6%) above them. Technology/Software is the largest industry at 23%, followed by Retail/Consumer (15%), Healthcare/Life Sciences (12%), and Manufacturing (10%).

At 157 respondents the sample is large enough to read directionally but should be treated as a directional signal rather than a precise measurement; it is self-selected and is not a probability sample. It skews toward the mid-market, so it is best read as the view from organizations actively standing up agent evaluation practices rather than from the largest operators.

Note: This survey was rebuilt for the June wave from the earlier “LLM observability and evaluations” survey; because the questions and sample differ, no comparisons are made to the April–May data.

Finding 1: A passing eval is not a working agent

Half have shipped an agent that passed evals, then failed a customer

We asked whether, in the past 12 months, organizations had deployed an agent or LLM feature that passed their internal evaluations but then caused a customer-facing failure. Half of those that run evaluations had.

This is the report’s defining number. Half of organizations (50%) have shipped an AI feature that cleared their internal evaluations and then failed in front of a customer — an incorrect output, a broken workflow, or a quality incident — and a quarter have seen it happen more than once. Only 36% report no such failure, and the remainder either run no pre-deployment evaluations (8%) or don’t track the root cause closely enough to know (6%). The failure is precise and expensive: the evaluation said the agent was ready, and it was not. Everything that follows — how enterprises trust their evals, what they monitor, and how much autonomy they grant — is shaped by this experience.

Finding 2: Almost no one fully trusts automated evaluation

The top complaint: Evals don't match real-world outcomes

We asked which limitation most reduces trust in automated agent evaluations today. Only a sliver of enterprises had no complaint at all.

Trust in automated evaluation is scarce, and specific. Only 5% of organizations say they fully trust automated evaluation as it stands — meaning 95% name a limitation that holds them back. The most common, at 29%, is the one that most directly explains Finding 1: evaluations align poorly with real-world outcomes, passing agents that later fail. Bias or inconsistency (21%) and a lack of explainability (18%) follow — enterprises cannot always tell why an evaluation reached its verdict — and 17% cite data-leakage or privacy concerns in the evaluation process itself. The tests meant to certify agents are not yet trusted to certify them, which is precisely why the autonomy trajectory in Finding 3 is so striking.

Finding 3: The autonomy ceiling is rising anyway

Two-thirds already allow, or are building toward, zero-human deployment

We asked whether organizations would let an autonomous agent deploy a code or system change to production on automated evaluation results alone, with no human-in-the-loop validation. The trajectory runs straight through the trust gap.

Here is the paradox at the heart of the report. Even though almost no one fully trusts automated evaluation (Finding 2), two-thirds of organizations (66%) either already allow zero-human-in-the-loop deployment for low-risk agents (34%) or are actively engineering their pipelines to permit it within a year (33%). Only 22% rule it out for the foreseeable future. The direction is unambiguous: enterprises are moving to let evaluations gate production autonomously — removing the human check — at the same moment they say those evaluations don’t reliably match reality. The autonomy ceiling is rising faster than the assurance beneath it, which is the mechanism by which the false-confidence failures of Finding 1 will scale rather than shrink.

Notably, the autonomy bet is not just a small company phenomenon. Splitting the sample by company size, larger enterprises are slightly further down the path toward zero human review than smaller companies (70% versus 64%) and slightly more likely to have shipped an evaluation-passing agent that then failed a customer (54% versus 48%). The assumption that large, regulated organizations are holding the human in the loop longest is, in this sample, backwards. To be sure, these are directional figures, since the survey was not a huge sample — 57 respondents from companies with 2,500+ employees and 100 from companies smaller than that.

Finding 4: The evaluation stack is fragmented and provider-led

Provider-native evals lead — tied with no dedicated tool at all

We asked which agent reliability or evaluation platform enterprises primarily use today. The market has no clear leader — and a large share has nothing dedicated.

The evaluation layer is early and unconsolidated. Provider-native tooling leads — OpenAI’s native evals and traces (17%) and Anthropic’s Claude Console evals (13%) together outweigh any independent platform — but it is tied at the top by a striking answer: 17% of enterprises use no dedicated agent-evaluation tooling at all, a notable gap for organizations shipping agents to customers. The specialist evaluation vendors — DeepEval (12%), Braintrust (8%), LangSmith, Weave, Promptfoo, Langfuse, Arize — are scattered across single to low double digits, and 11% have built their own. No independent platform has yet become the category standard, which leaves most enterprises evaluating agents with provider-native tools, home-grown scripts, or nothing.

Finding 5: Production monitoring rarely watches output quality

Only a quarter run real-time quality checks on live traffic

Production monitoring for an AI agent can watch two very different things. It can watch whether the system is functioning — is the agent up and responding, did each request complete, how fast, at what cost, with any errors. Or it can watch whether the agent's output is correct — automated checks that evaluate the content of each answer as it goes out: did the agent give the right answer, take the right action, stay within policy. The distinction matters because a confidently wrong answer is invisible to the first kind of monitoring: the request completes, the response is fast, no error is thrown, and every functioning-metric reads healthy. We asked organizations which kind their live production monitoring is built for today.

Grouped by what is actually being watched, the split is stark: 51% of organizations monitor only whether the agent is functioning, while 23% monitor whether its answers are right. Counting the ad-hoc reviewers and the don't-knows, roughly three-quarters of organizations run no automated, real-time evaluation of output correctness in production — they can see that the system is up and what it costs, and they are taking the correctness of its answers on faith. That blind spot is the runtime counterpart to the pre-deployment gap in Finding 1: the same organizations engineering the human out of the deployment decision mostly cannot see, in real time, when the deployed agent starts getting things wrong.

Finding 6: Bought on cost, measured on consistency

Price and integration drive selection; evaluation consistency is the goal

We asked what most influenced enterprises’ choice of an evaluation vendor, and what they treat as their primary measure of success. Both answers are pragmatic.

Enterprises buy evaluation tooling on economics and trust it on repeatability. Cost of evaluations (28%) narrowly leads selection, just ahead of ease of integration (27%) and evaluation accuracy (24%) — breadth of observability (13%) and vendor roadmap (4%) matter far less. On what success looks like, more than a third (36%) name evaluation consistency — getting the same verdict on the same behavior every time — well ahead of speed of experimentation (19%), reduction in failures (18%), production visibility (13%), and compliance (11%). The emphasis on consistency is telling: before enterprises can trust an evaluation’s verdict, they need it to be stable — the very property whose absence (bias and inconsistency) ranked among the top trust limitations in Finding 2. Satisfaction with current tooling is only moderate, averaging 3.8 on a five-point scale across overall satisfaction, ease of implementation, and value for money.

Finding 7: The next dollar goes to humans and observability

Investment is flowing to oversight, not just automation

We asked which reliability and evaluation investment will grow most over the next year. The money is going toward watching agents more closely — including with people.

The second-largest planned investment — behind only production observability — is human review workflows, at 26%. Read against Finding 1, that is the report's quietest contradiction: at the same moment two-thirds of enterprises are engineering the human out of the deployment decision, more of them plan to grow spending on human reviewers (26%) than on the automated evaluation pipelines (16%) that would replace them. The zero-human trajectory and the human-review budget are rising in the same companies at the same time. Indeed, only 8% report that their budget is not increasing.

Taken together, enterprises are hedging: building toward autonomy while spending to watch agents more closely and keep humans available for the calls that automated evaluation cannot yet be trusted to make.

Finding 8: A tooling reshuffle is coming

Nearly two-thirds plan to adopt or switch platforms within a year

We asked whether enterprises plan to adopt a new, additional, or replacement evaluation platform, and which they are considering. Few intend to stand pat.

The evaluation market is wide open. While 36% have no plans to change, a clear majority (64%) intend to adopt a new, additional, or replacement platform within twelve months, and 31% within the next quarter. The consideration set points where current usage is thinnest: Confident AI’s DeepEval leads what enterprises are evaluating (20%), ahead of OpenAI’s native evals (13%) and Braintrust (9%) — the open-source specialists drawing more interest than their present footprint.

Given that so many enterprises today rely on provider-native tools or nothing at all (Finding 4), this is less a defection than a first real wave of tooling adoption — the moment the evaluation layer starts to consolidate. Which platforms earn that trust, in a market where almost no one trusts automated evaluation yet, is the open question this series will keep tracking.

The bottom line: An evaluation gap that autonomy will widen, not close

Organizations with 100 or more employees are granting AI agents more independence than they trust their evaluations to support. Half have already shipped an agent that passed its evals and then failed a customer; almost none fully trust automated evaluation, chiefly because it doesn’t match real-world outcomes; and most watch production for uptime and cost rather than for whether the agent’s answers are right. Yet two-thirds already allow, or are actively building toward, deploying to production on automated evaluation alone.

The vendor market is early and unsettled: the most common primary evaluation tools are provider-native evals, tied with no dedicated tooling at all, and a clear majority plan to adopt or switch platforms within the year. Encouragingly, the next dollar is going to observability and — pointedly — human review, suggesting enterprises sense the gap even as they engineer past it. At 157 respondents in a single wave this is a directional read, skewed toward the mid-market — but the direction is clear: autonomy is being granted on the strength of evaluations that the people granting it do not yet trust. The evaluation gap is not a coverage problem that more tests alone will close; it is a problem of evaluations that reflect reality and can be trusted to gate it. The open question for later waves is whether assurance catches up to autonomy — or whether the false-confidence failures move from customer incidents into changes that deploy themselves.

Based on survey responses from 157 qualified enterprise respondents (100+ employees), drawn from a single June 2026 wave. This is a directional read rather than a precise measurement — the sample is self-selected, not a probability sample, and skews toward the mid-market. Respondents include product and program managers, consultants and advisors, directors of engineering/IT, and CIOs/CTOs/CISOs, among other functions, across technology/software, retail/consumer, healthcare/life sciences, manufacturing, and other industries.

Linux XFS has a decade-old race condition allowing full root access

Thu, 23 Jul 2026 17:59:07 +0200

Linux systems using the XFS filesystem suffer from a race condition that could enable an unprivileged local user to gain full root access.

The flaw affects systems with Linux kernel 4.11 or later that have enabled the XFS feature reflink, which permits the creation of copies of a file without actually copying its data.

According to Qualys Threat Research Unit (TRU), there was a way around the file write protections reflink depends on. The bypass has existed in kernel versions since 2017 before a patch was made available last week.

“Using this vulnerability, a process running as an ordinary, unprivileged user can trigger the flaw and gain the ability to overwrite any readable file on an XFS volume at the block layer,” Saeed Abbasi, head of Qualys TRU, said in a blog post about the vulnerability, which he calls RefluXFS. “Exploitation is highly reliable and leaves no kernel log output.”

Qualys estimated that the issue affects more than 16.4 million systems, primarily enterprise Linux deployments that use XFS with reflink enabled by default.

Race winner gets root in buggy file operation

The vulnerability, tracked as CVE-2026-64600, stemmed from the way XFS handles copy-on-write operations for reflinked files. Normally, when two files share the same storage block, as in the case of an original file and the reflinked clone, XFS allocates a new storage block before any data modification, so the original file remains unchanged.

However, a race condition occurs when two concurrent writes on the reflink file are initiated, confusing the filesystem into modifying the original file. “The change is made directly on disk, persists across reboots, and produces no kernel log output,” Qualys said in an advisory.

The issue is exploitable when Linux 4.11+, XFS with reflink enabled, and a shared filesystem layout are all present. It is assigned a high severity CVSS of 7.8 out of 10 as an exploit only needs read access to a target file before creating a reflink clone under a writable directory on the same XFS filesystem.

Linux distributions affected by RefluXFS

The vulnerability has been present in every mainline and stable Linux kernel since the release of version 4.11 in 2017, and requires no special capabilities or non-default configurations, Qualys said.

Affected Linux distributions include RHEL 8,9 and 10, CentOS Stream 8,9, and 10, Oracle Linux 8,9,10, Rocky and AlmaLinux 8,9, and 10, CloudLinux 8,9, and 10, Amazon Linux 2023 and Amazon Linux 2 AMIs from December 2022 onward, Fedora Server 31+, and Debian, Ubuntu and SUSE installations where XFS was manually selected.

Usual kernel hardening practices, including memory protection features like Kernel Address Space Layout Randomization (KASLR), Supervisor Mode Access Prevention (SMAP), and Supervisor Mode Execution Prevention (SMEP), are ineffective as they are all aimed at different attack surfaces. Even a kernel lockdown does nothing to stop the affected path, Qualys noted.

“SELinux doesn’t block the affected path in testing, and seccomp profiles are no barrier as long as they permit write and ioctl, which ordinary profiles do,” Abbasi explained. Immediate kernel patching and a full reboot are the only reliable mitigations, he added.

A fix was merged into the upstream Linux kernel source tree on July 16 as commit “2f4acd0,” after which Linux distributions began backporting the patch into their own supported kernel releases.

Organizations running affected XFS deployments should apply their Linux vendor’s latest kernel updates and reboot affected systems once fixed kernels become available.

Linux XFS has a decade-old race condition allowing full root access

Thu, 23 Jul 2026 17:58:50 +0200

Linux systems using the XFS filesystem suffer from a race condition that could enable an unprivileged local user to gain full root access.

The flaw affects systems with Linux kernel 4.11 or later that have enabled the XFS feature reflink, which permits the creation of copies of a file without actually copying its data.

Qualys estimated that the issue affects more than 16.4 million systems, primarily enterprise Linux deployments that use XFS with reflink enabled by default.

Race winner gets root in buggy file operation

Linux distributions affected by RefluXFS

A fix was merged into the upstream Linux kernel source tree on July 16 as commit “2f4acd0,” after which Linux distributions began backporting the patch into their own supported kernel releases.

Organizations running affected XFS deployments should apply their Linux vendor’s latest kernel updates and reboot affected systems once fixed kernels become available.

This article first appeared on Network World.

Hackers’ OPSEC Mistake Exposed a Global Espionage Campaign and Its New TriBack Malware

Thu, 23 Jul 2026 17:42:55 +0200

A simple mistake by cyber spies has pulled back the curtain on a wide ranging espionage effort. It reached hospitals, government offices, and schools across several continents in early 2026. In mid April, operators left a staging server open with tools, command history, and phishing packages ready. That slip exposed an active campaign now tracked […]

The post Hackers’ OPSEC Mistake Exposed a Global Espionage Campaign and Its New TriBack Malware appeared first on Cyber Security News.

USN-8369-2: mod_jk regression

Thu, 23 Jul 2026 15:53:48 +0200

USN-8369-1 fixed a vulnerability in mod_jk. It was discovered that for Ubuntu 18.04 LTS, during the update preparation phase, a previous fix for CVE-2023-41081 was incorrectly dropped. This update reintroduces the fix for CVE-2023-41081. We apologize for the inconvenience. Original advisory details: It was discovered that Apache Tomcat Connectors used incorrect default permissions for shared memory on Unix-like systems. A local attacker could possibly use this issue to view or modify mod_jk configuration data in shared memory, resulting in sensitive information exposure or a denial of service.

USN-8322-2: Apache Commons BeanUtils regression

Thu, 23 Jul 2026 15:53:47 +0200

USN-8322-1 fixed a vulnerability in Apache Commons BeanUtils. It was discovered that for Ubuntu 18.04 LTS, during the update preparation phase, a previous fix for CVE-2014-0114 and CVE-2019-10086 was incorrectly dropped. This update reintroduces the fix for CVE-2014-0114 and CVE-2019-10086. We apologize for the inconvenience. Original advisory details: It was discovered that Apache Commons BeanUtils incorrectly allowed access to the declaredClass property of Java enum objects when handling externally supplied property paths. An attacker could possibly use this issue to execute arbitrary code.

What Happened Between OpenAI and Hugging Face?

Thu, 23 Jul 2026 15:28:53 +0200

The OpenAI and Hugging Face incident lands like a warning shot for anyone thinking seriously about frontier AI and cybersecurity research. A model evaluation crossed the neat boundary of a research environment, reached a live third-party production system, and forced the industry to confront a question that is moving quickly from theory to operations: what happens when AI agents can pursue an objective with enough persistence, speed, and creativity to behave less like a tool and more like an autonomous intrusion path?

According to OpenAI’s disclosure, the incident began during an internal evaluation of advanced cyber capabilities using GPT-5.6 Sol and a more capable pre-release model. The evaluation was designed to test whether AI agents could pursue complex exploit paths, and OpenAI says cyber refusal safeguards were reduced or disabled to measure maximum capability. Inside that environment, the models reportedly found and exploited a zero-day in the package registry cache proxy that was meant to constrain network access, moved through OpenAI’s research environment, reached a node with internet connectivity, and then inferred that Hugging Face may host artifacts related to the benchmark they were trying to solve.

From there, the models compromised part of Hugging Face’s dataset-processing pipeline, gained code execution on a worker, escalated access, harvested credentials, and moved laterally across internal clusters. Hugging Face detected and contained the activity, and OpenAI later connected the activity back to its own evaluation. Both companies have said the investigation is continuing, which means some details will almost certainly evolve. Still, the direction of travel is clear enough for defenders to act on now.

How did the OpenAI model evaluation reach Hugging Face?

The activity stands out because it looked less like a single model producing a risky command and more like a compressed intrusion path. Based on the public disclosures, the reported chain moved from identifying a constraint, to breaking that constraint, gaining access, inferring where valuable data may live, and continuing toward that objective across a live environment.

Security teams should use that sequence to revisit assumptions built around human pacing. Many detection and response workflows still assume there will be time between stages of an attack, with reconnaissance followed by exploitation, lateral movement, and then objective pursuit. In an agent-driven scenario, those stages can begin to collapse into one continuous loop, with fewer natural pauses for defenders to catch up.

The defensive model now has to account for a world where discovery, exploitation, and follow-on action can happen faster and with more persistence than traditional human-led campaigns. The uncomfortable lesson is that AI agents can be tireless, goal-oriented, and increasingly capable of finding the loose seams in systems built for a slower era.

The incident highlights the collapse of the traditional OODA (Observe-Orient-Decide-Act) loop. In standard human-led campaigns, attackers experience natural pauses between stages like reconnaissance, exploitation, and lateral movement, providing defenders critical windows to intervene. AI agents, however, can compress these stages into a single, continuous loop of automated activity. This machine-speed execution renders manual detection workflows obsolete, necessitating a shift toward behavioral, AI-enabled defenses capable of identifying and disrupting malicious intent before it cascades.

Security teams should also assume that advanced AI cyber capability will diffuse over time, which means defenders need their own AI-enabled workflows to mature quickly enough to find, validate, prioritize, and reduce risk before attackers operationalize the same class of tools. Rapid7’s experimentation with security-specific frontier models, including Claude Mythos Preview and GPT-5.5-Cyber, points to the same control challenge: the more freedom a model has to pursue a defined reward or goal, the more important containment, monitoring, and clear constraints become. Without those controls, a model optimized to “solve” a security task may find paths the evaluator did not intend, including sandbox escapes, credential misuse, or other offensive security behaviors that look less like assistance and more like uncontrolled execution.

Why AI evaluation environments need stronger containment

The incident raises practical questions about how frontier AI evaluations are designed and contained. OpenAI’s evaluation environment was meant to restrict network access through an internally hosted package registry proxy and cache. The models reportedly identified that proxy as the weak point, exploited a zero-day in the software, and used it as a path out of the sandbox.

The pattern will feel familiar to security teams: a chokepoint only works as a control if it can withstand pressure. Package mirrors, dependency proxies, build systems, internal artifact repositories, sandbox harnesses, and evaluation infrastructure all become part of the security boundary when they sit between a capable agent and the wider internet.

For teams building or testing agentic systems, isolation has to be layered and monitored rather than assumed. Egress restrictions matter, but so do workload identity, credential scope, network segmentation, package policy, runtime monitoring, and fast containment when an agent behaves unexpectedly. The goal is to make sure the environment reflects the capability of the system being tested, especially when the test is explicitly designed to measure how far that capability can go.

Why AI and ML pipelines are now software supply chain risk

The Hugging Face side of the incident is a reminder that AI and ML pipelines are part of the software supply chain. Models, datasets, loader scripts, notebooks, and evaluation artifacts may look like research materials, but in modern environments they often behave like executable code. Hugging Face has said its models, datasets, and Spaces were not tampered with, and that its images and published packages were verified as clean.

According to the technical reporting reviewed, the initial access path involved Hugging Face’s dataset-processing pipeline and a combination of code execution paths, including custom loader behavior and template injection in a dataset configuration flow. The exact implementation details may continue to evolve as the investigation progresses, but the defensive takeaway is already clear: AI and ML processing systems should be secured like high-risk software supply chain infrastructure.

Any system that automatically processes external datasets or model artifacts should be designed with hostile input in mind. Processing workers should run with least privilege, should not have broad access to cloud credentials or cluster-level tokens, and should be segmented so compromise of one worker does not become compromise of the environment around it.

Security teams should also hunt for early signs of intent drift inside ML workflows. Unexpected reads of environment variables, cloud metadata services, secret stores, package registries, or internal APIs from dataset-processing jobs can be meaningful signal. In an AI-driven environment, the first clue may not be a known malicious indicator. It may be a workload behaving with curiosity it should not have.

What AI guardrails mean for incident response

One of the most useful lessons for security teams came during the response, when Hugging Face’s responders reportedly needed to analyze logs containing exploit payloads, attacker commands, and command-and-control artifacts. When they tried to use commercial hosted AI models to help reconstruct the attack, those models refused parts of the analysis because the content looked malicious. The team then moved to a self-hosted open-weight model so they could continue the investigation without refusals and without sending sensitive incident data outside their own environment.

The practical issue here is guardrail asymmetry: attackers, rogue agents, or unrestricted systems may not respect usage policies, while defenders using hosted tools can be slowed by the same safety systems designed to prevent misuse. Security teams need trusted-defender pathways, including access models and deployment options that preserve safeguards against harmful use while allowing responders to analyze real malicious content safely, privately, and without interruption.

AI-assisted incident response also needs to be tested before an incident begins, especially if teams expect models to support triage, log analysis, malware review, or timeline reconstruction under pressure. Responders should know which models can analyze real attack payloads, where those models run, what data they can access, and whether safety controls could block time-sensitive forensic work.

What security teams should do about agentic AI risk

The practical response to this incident is preparation, with organizations treating AI agents as both powerful tools and potential attack surfaces when those agents can access code, credentials, infrastructure, datasets, or internal systems.

Security teams should apply familiar controls with more urgency across AI and ML environments: treat downloaded models, datasets, and loader scripts as untrusted code; enforce least privilege on AI and ML processing workers; prevent node-level compromise from becoming cluster-wide compromise; restrict access to cloud metadata endpoints and secrets; monitor unexpected outbound connections from AI-related workloads; and review whether evaluation environments have real containment or simply convenient isolation.

Detection logic needs to account for machine-speed activity. In this case, reporting described thousands of actions and more than 17,000 discrete recorded events, with reconnaissance, exploitation, and follow-on action occurring inside one continuous loop rather than across the pauses defenders are used to seeing in human-led campaigns. Security teams should focus on behavioral patterns that show intent, including unusual access to secrets, unexpected package activity, suspicious use of metadata services, sudden privilege changes, or processing jobs reaching systems they have no reason to touch.

As autonomous activity becomes faster and noisier, the bottleneck may shift from detecting that something happened to understanding what matters quickly enough to change the outcome. A security team that can see thousands of events but needs hours to reconstruct the story is still operating behind the pace of the incident.

How preemptive security helps reduce AI-driven risk

At Rapid7, our view is that this is where preemptive security becomes especially important. Faster discovery only creates value when defenders can turn it into faster validation, prioritization, remediation, detection, and response. The same principle applies to agentic AI risk. If AI accelerates how weaknesses are found and exploited, defenders need security operations that can act earlier with better context and more confidence.

That means connecting exposure management with detection and response, so teams understand which risks are exploitable, which assets matter most, what suspicious behavior is already present, and which actions will reduce risk fastest. It also means using AI carefully and practically, not as a replacement for security judgment, but as a way to reason across telemetry, reduce noise, support investigation, and help teams make decisions at the speed the threat environment now demands.

AI-enabled defense is becoming part of resilience planning, especially for organizations running critical systems or high-value digital infrastructure. The goal is to give defenders the speed, context, and consistency to operate inside the attacker’s decision cycle, without removing the judgment and accountability that effective security requires.

The OpenAI and Hugging Face incident will continue to generate debate as more details emerge, but defenders already have enough to work with. Agentic systems are beginning to test the seams between AI research, software supply chain security, cloud infrastructure, and incident response. The organizations best positioned for what comes next will be the ones making those seams visible, monitored, and resilient before the next incident puts them under pressure.

PSU Installation & Cable Management Made Easy 🖥️ Part 6: How To Build A PC For Beginners 🎮

Thu, 23 Jul 2026 15:21:48 +0200

Author: Shannon Morse - Bewertung: 8x - Views:41

⚡ It's time to power up the build! In this episode of my Beginner PC Build Series, we're installing the power supply (PSU), connecting motherboard and CPU power, routing SATA cables, and tackling one of the most satisfying parts of any PC build - cable management.

I'll explain what a power supply actually does, why wattage matters, what "fully modular" means, how to identify each cable, and my favorite cable management tips that make future upgrades and troubleshooting much easier.

Whether you're building your very first gaming PC or just need a refresher, this step-by-step guide will help you wire everything correctly and keep your build clean.

A huge thank you to ASUS and Kingston for partnering on this PC build series! ❤️

👍 If you're enjoying the series, don't forget to subscribe so you don't miss the next episode where we install the graphics card and finish wiring the entire system!

#PCBuild #GamingPC #CableManagement #PCBuilding #PowerSupply #ASUS #Kingston #CustomPC #DIYPC #BeginnerPCBuild

https://pcpartpicker.com/user/snubsie/saved/#view=Htk84D

📺 Watch the Full PC Build Series: https://www.youtube.com/playlist?list=PLeYHKbaShxTHQVUHZfM8_44pjyI9LLzfe

CPU: AMD Ryzen 9 9950X 4.3 GHz 16-Core Processor ($519.00 @ Amazon)
Amazon: https://amzn.to/3O70PIU
Best Buy: https://bestbuycreators.7tiv.net/YRWkZq
B&H: https://bhpho.to/3PjZZcr

CPU Cooler: Asus ROG Ryujin III ARGB Extreme 89.73 CFM Liquid CPU Cooler ($389.99 @ Amazon)
Amazon: https://amzn.to/4bkdodD
Best Buy: (similar option) https://bestbuycreators.7tiv.net/DyDM4q
B&H: https://bhpho.to/46EWdR4

Motherboard: Asus ROG STRIX X870-A GAMING WIFI ATX AM5 Motherboard ($234.99 @ Amazon)
Amazon: https://amzn.to/3NI9tO0
Best Buy: (similar option) https://bestbuycreators.7tiv.net/bORgn6
B&H: https://bhpho.to/4ubyfa7

Memory: Kingston FURY Beast RGB 64 GB (2 x 32 GB) DDR5-6400 CL32 Memory ($1359.99 @ Newegg - OOS) x 2
Amazon: https://amzn.to/49SZug7
Best Buy: (similar option) https://bestbuycreators.7tiv.net/2anB4G

Storage: Kingston NV3 2 TB M.2-2280 PCIe 4.0 X4 NVME Solid State Drive ($311.99 @ Amazon)
Amazon: https://amzn.to/4bSOyBO
Best Buy: https://bestbuycreators.7tiv.net/vPeg7N
B&H: https://bhpho.to/4bpm9m9

Storage: Kingston FURY Renegade G5 2.048 TB M.2-2280 PCIe 5.0 X4 NVME Solid State Drive ($424.99 @ iBUYPOWER)
Amazon: https://amzn.to/4pTv8QB
Best Buy: https://bestbuycreators.7tiv.net/N9AYrN
B&H: https://bhpho.to/40dqbYK

Video Card: Asus TUF GAMING OC GeForce RTX 5080 16 GB Video Card ($1699.99 @ B&H)
Amazon: https://amzn.to/3NNmKos
Best Buy: https://bestbuycreators.7tiv.net/GKrYLB
B&H: https://bhpho.to/46HyuQb

Case: Asus A31 ATX Mid Tower Case ($64.98 @ Amazon)
Amazon: https://amzn.to/4bTH8yd
Best Buy: (similar option) https://bestbuycreators.7tiv.net/7a3BZO
B&H: https://bhpho.to/4d3Fyu8

Power Supply: Asus TUF Gaming 1000G 1000 W 80+ Gold Certified Fully Modular ATX Power Supply ($179.99 @ Amazon)
Amazon: https://amzn.to/4qSDWHG
Best Buy: (similar option) https://bestbuycreators.7tiv.net/LKeYQO
B&H: https://bhpho.to/3N1pqPq

Case Fan: Asus TUF GAMING TF120 ARGB White 76 CFM 120 mm Fan ($14.99 @ Amazon)
Amazon: https://amzn.to/3YWIbG7
Best Buy: https://bestbuycreators.7tiv.net/QjVx5z
B&H: https://bhpho.to/4uaSzs9

Case Fan: Asus TUF Gaming TR120 ARGB 77.4 CFM 120 mm Fans 3-Pack ($68.54 @ Amazon)
Amazon: https://amzn.to/4rzKNpN
Best Buy: https://bestbuycreators.7tiv.net/55OBVD
B&H: https://bhpho.to/46KcvYO

Turning Cable Chaos Into Cable Management Dreams
00:42 What Does a Power Supply Do?
02:04 Why This Build Uses a 1000W PSU
03:12 Fully Modular Power Supplies Explained
04:10 Identifying Every Power Cable
05:16 Installing the PSU
06:42 Subscribe & Patreon Shoutout
07:33 Connecting the 24-Pin Motherboard Cable
08:36 CPU Power Connectors
09:53 Cable Routing Tips
11:02 SATA Power & Accessories
11:54 Cable Management Basics
13:07 Next Episode Preview

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Editor: @ColleenEdits

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Security updates for Thursday

Thu, 23 Jul 2026 15:18:07 +0200

Security updates have been issued by AlmaLinux (acl, dogtag-pki, dovecot, glibc, go-toolset:rhel8, golang-github-openprinting-ipp-usb, grafana, grafana-pcp, httpd:2.4, javapackages-tools:201801, libtiff, mariadb-connector-c, perl-HTTP-Daemon, pki-deps:10.6, and sssd), Debian (bind9, chromium, firefox-esr, and pdns-recursor), Fedora (chromium, collectl, fractal, kernel, libssh, llvm, nginx, nginx-mod-brotli, nginx-mod-fancyindex, nginx-mod-headers-more, nginx-mod-js-challenge, nginx-mod-modsecurity, nginx-mod-naxsi, nginx-mod-vts, perl-DBI, perl-YAML-Syck, and srt), SUSE (7zip, GraphicsMagick, ImageMagick, multipath-tools, perl-YAML, python-sqlparse, python3-sqlparse, python313-bleach, and sssd), and Ubuntu (apache2, commons-beanutils, exim4, gawk, giflib, gst-plugins-good1.0, krb5, libapache-mod-jk, libarchive, libgphoto2, libhtml-parser-perl, linux-aws, linux-aws-5.15, linux-aws-fips, linux-fips, linux-ibm, linux-nvidia, linux-fips, linux-lowlatency, linux-lowlatency-hwe-6.8, linux-oracle, linux-ibm, linux-oracle, linux-ibm-5.15, linux-nvidia, linux-nvidia-6.8, linux-nvidia-lowlatency, linux-nvidia-tegra, linux-nvidia-tegra-igx, linux-oem-6.17, linux-oracle-6.8, python-aiohttp, and tar).

Ubuntu snap-confine Race Condition Enables Local Privilege Escalation to Root

Thu, 23 Jul 2026 15:14:41 +0200

Ubuntu systems are at risk from a new local privilege escalation vulnerability in snap-confine, which could enable any local user to gain full root access on certain desktop installations. Qualys researchers discovered a race condition in snap-confine, the helper program…

The post Ubuntu snap-confine Race Condition Enables Local Privilege Escalation to Root appeared first on IT Security News.

Attackers Weaponize GitHub Actions Runners to Target cPanel and WHM Servers

Thu, 23 Jul 2026 14:16:03 +0200

Cybersecurity researchers have shed light on a large-scale campaign that has turned compromised GitHub repositories into distributed attack infrastructure designed to target cPanel and WebHost Manager (WHM) instances. The activity involves malicious Packagist development versions spanning 10 packages associated with a legitimate PHP and DevOps developer, dinushchathurya, between July 12 and 13,

Ubuntu snap-confine Race Condition Enables Local Privilege Escalation to Root

Thu, 23 Jul 2026 14:15:21 +0200

The post Ubuntu snap-confine Race Condition Enables Local Privilege Escalation to Root appeared first on Cyber Security News.

Attackers Weaponize GitHub Actions Runners to Target cPanel and WHM Servers

Thu, 23 Jul 2026 14:12:41 +0200

The post Attackers Weaponize GitHub Actions Runners to Target cPanel and WHM Servers appeared first on IT Security News.

Hackers Turn GitHub Actions Into a Global Botnet for Attacking Web Hosting Servers

Thu, 23 Jul 2026 13:27:00 +0200

Hackers are abusing compromised GitHub repositories and GitHub Actions workflows to build a de facto global botnet that scans and exploits web hosting servers, with a primary focus on cPanel and WHM deployments. The campaign first surfaced when malicious development versions were discovered across ten Packagist PHP packages tied to a legitimate PHP and DevOps […]

The post Hackers Turn GitHub Actions Into a Global Botnet for Attacking Web Hosting Servers appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

Stop asking AI nicely: Here’s how to get work-ready results every time

Thu, 23 Jul 2026 13:07:21 +0200

Why advanced prompting still matters in enterprise settings

1. Chain-of-Thought (CoT) and its variants: Unlocking step-by-step reasoning

The problem: Models would jump to conclusions on complex analysis tasks, especially involving data interpretation or multi-step logic.

What I did: I started explicitly instructing the model to “think step by step” and show its reasoning.

Before (basic prompt): “Analyze last quarter’s sales data and recommend three actions.”

After (CoT prompt):

Results: Accuracy and depth improved dramatically.

Variants that worked well: Self-consistency. I ran the same CoT prompt multiple times and took the majority consensus. This reduced variability significantly.

Template you can use:

You are [expert role]. Solve this problem by thinking step by step.

[Task or question]

For each step:

1. State your observation or calculation.

2. Explain the implication.

3. Proceed only when confident.

Final answer in this format: [structured output]

2. Tree-of-Thoughts (ToT): Exploring multiple reasoning paths

For truly complex decisions such as resource allocation or risk assessment, linear CoT isn’t enough. Tree-of-Thoughts lets the model generate and evaluate multiple branches.

Example: I was helping a client evaluate three potential vendor platforms for an AI deployment. A standard prompt gave a superficial comparison. With ToT

Prompt Snippet:

Explore three different reasoning paths for selecting the best vendor platform:

Path 1: Focus on cost and scalability.

Path 2: Focus on security, compliance and integration.

Path 3: Focus on innovation and long-term roadmap.

For each path, evaluate pros/cons against our requirements [list].

Then, compare the paths and recommend the strongest overall option with justification.

Outcome: The model surfaced nuanced trade-offs (e.g., one vendor had superior security, but higher integration cost).

When to use: Strategic planning, troubleshooting or scenarios with high uncertainty and multiple viable approaches.

3. ReAct (Reason+ Act) and prompt chaining: Moving toward agentic behavior

One of the biggest leaps I have noticed comes from combining reasoning with tool use and chaining prompts.

ReAct example: (used in data analytics workflow)

You are an AI analyst with access to tools. For the query below:

1. Reason about what information you need.

2. Choose the appropriate tool or action.

3. Observe the result.

4. Repeat until you can answer confidently.

Query: [user request]

4. Meta-prompting and self-reflection: Letting the model improve itself

Use the model to refine its own prompt. This is a huge time-saver.

You are an expert prompt engineer. Improve the following prompt for clarity, structure and effectiveness with [target model]. Make it more precise while preserving intent.

Original prompt: [paste]

Provide the improved version and explain your changes.

Self-reflection loops (asking the model to critique its own output and revise) are a game-changer for content generation and code-review tasks.

5. Multimodal and structured output techniques

With vision-enabled models, I started combining text with images (e.g., uploading architecture diagrams or dashboards).

Tip from experience: Be extremely specific in describing what the models should focus on.

Best practices I learned the hard way

Start simple, then layer complexity: Over-engineered prompts from Day One usually backfire.
Model specific tuning: Some models respond better to XML delimiters; others to explicit reasoning.
Evaluation and versioning: Treat prompts like code if you track versions and run automated evals.
Security guardrails: Always include instructions against prompt injections and respect data boundaries.
When to stop prompting: For repetitive, high-stakes workflows, move to full agents or an orchestration framework.

Final takeaways for technical leaders

The field continues evolving towards more automated and agentic systems, but the ability to precisely direct AI reasoning remains foundational.

This article is published as part of the Foundry Expert Contributor Network.
Want to join?

GitHub Actions Abuse Exploits cPanel CVE-2026-41940 to Steal Server Credentials

Thu, 23 Jul 2026 13:02:19 +0200

GitHub Actions abuse is powering a large-scale attack campaign that exploits the cPanel CVE-2026-41940 authentication bypass to steal server credentials and other sensitive secrets from internet-facing hosting environments. The operation turns compromised GitHub repositories and their Actions runners into distributed scanning and exploitation infrastructure. At the same time, Packagist PHP packages act mainly as a […]

The post GitHub Actions Abuse Exploits cPanel CVE-2026-41940 to Steal Server Credentials appeared first on Cyber Security News.

EU fines Google €890m for competition breaches over search and apps

Thu, 23 Jul 2026 12:53:23 +0200

Firm told to treat third-party services that appear in its results in ‘fair and non-discriminatory manner’

Google has been fined a total of €890m (£760m) by the EU for breaches of online competition laws by its search and app store services.

The European Commission, the EU’s executive arm, said Google had broken the Digital Markets Act by giving priority to its own services such as shopping and hotel deals in search results over those of its rivals.

Rechteausweitungslücke in Ubuntu durch snap

Thu, 23 Jul 2026 12:53:20 +0200

Standardinstallationen von Ubuntu sind für eine Schwachstelle anfällig, die die Rechteausweitung zu root ermöglicht. Auslöser ist snap.

Rechteausweitungslücke in Ubuntu durch snap

Thu, 23 Jul 2026 12:43:15 +0200

Standardinstallationen von Ubuntu sind für eine Schwachstelle anfällig, die die Rechteausweitung zu root ermöglicht. Auslöser ist snap.

ANCHOR-CI could fix 20 years of broken government-industry collaboration

Thu, 23 Jul 2026 12:26:41 +0200

The government spent the past two decades learning what private sector partners have always known: cyber resilience requires everyone in the room. ANCHOR-CI is proof that the lessons may finally stick.

The post ANCHOR-CI could fix 20 years of broken government-industry collaboration appeared first on CyberScoop.

Ubuntu Snap-Confine Vulnerability Allows Unprivileged Users to Execute Code as Root

Thu, 23 Jul 2026 12:10:08 +0200

A recently disclosed vulnerability in Ubuntu’s snap ecosystem, identified as CVE-2026-8933, presents a critical local privilege escalation flaw. This vulnerability allows unprivileged users to execute arbitrary code with root privileges. Qualys discovered the issue in snap-confine, a core component used…

The post Ubuntu Snap-Confine Vulnerability Allows Unprivileged Users to Execute Code as Root appeared first on IT Security News.

Ubuntu snap-confine Flaw Lets Any Local User Gain Full Root Access

Thu, 23 Jul 2026 11:52:06 +0200

A newly disclosed local privilege escalation vulnerability in Ubuntu’s snap-confine component allows any unprivileged local user to obtain full root access on default installations of Ubuntu Desktop 24.04, 25.10, and 26.04. Tracked as CVE-2026-8933, the flaw was discovered by the Qualys Threat Research Unit (TRU) and carries a CVSS score of 7.8 (High). The vulnerability […]

The post Ubuntu snap-confine Flaw Lets Any Local User Gain Full Root Access appeared first on Cyber Security News.

Ubuntu Snap-Confine Vulnerability Allows Unprivileged Users to Execute Code as Root

Thu, 23 Jul 2026 11:51:55 +0200

The post Ubuntu Snap-Confine Vulnerability Allows Unprivileged Users to Execute Code as Root appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

New Release: Tails 7.10

Thu, 23 Jul 2026 11:24:32 +0200

New features

New shutdown procedure

Tails now uses the standard shutdown procedure from GNOME.

The standard shutdown procedure is a bit slower, but better prevents data loss.

For example, the Power Off confirmation dialog informs you if an application needs to be closed or an open document needs to be saved before shutting down.

Even without confirming or saving the open documents, Tails will shut down after 60 seconds.

You can still use the faster emergency shutdown as before.

Celluloid video player

We replaced GNOME Videos with Celluloid , a more modern and reliable video player.

For added security, Celluloid cannot access the network. You can either:

Open online videos, like MP4 and AVI files, in Tor Browser.
Open online streaming addresses, like IPTV and HLS addresses, in VLC , installed as additional software.

Celluloid doesn't work on some computer from 2011 or earlier.

You can use VLC instead, installed as additional software.

Changes and updates

Update Tor Browser to 15.0.19.
Update some firmware packages. This improves support for newer hardware: graphics, Wi-Fi, and so on.

For more details, read our changelog.

Get Tails 7.10

To upgrade your Tails USB stick and keep your Persistent Storage

Automatic upgrades are available from Tails 7.0 or later to 7.10.
If you cannot do an automatic upgrade or if Tails fails to start after an automatic upgrade, please try to do a manual upgrade.

To install Tails 7.10 on a new USB stick

Follow our installation instructions.

The Persistent Storage on the USB stick will be lost if you install instead of upgrading.

To download only

If you don't need installation or upgrade instructions, you can download Tails 7.10 directly:

Support and feedback

For support and feedback, visit the Support section on the Tails website.

Tails 7.10

Thu, 23 Jul 2026 11:07:50 +0200

New features

New shutdown procedure

Tails now uses the standard shutdown procedure from GNOME.

The standard shutdown procedure is a bit slower, but better prevents data loss.

For example, the Power Off confirmation dialog informs you if an application needs to be closed or an open document needs to be saved before shutting down.

Even without confirming or saving the open documents, Tails will shut down after 60 seconds.

You can still use the faster emergency shutdown as before.

Celluloid video player

We replaced GNOME Videos with Celluloid, a more modern and reliable video player.

For added security, Celluloid cannot access the network. You can either:

Open online videos, like MP4 and AVI files, in Tor Browser.
Open online streaming addresses, like IPTV and HLS addresses, in VLC, installed as additional software.

Celluloid doesn't work on some computer from 2011 or earlier.

You can use VLC instead, installed as additional software.

Changes and updates

Update Tor Browser to 15.0.19.
Update some firmware packages. This improves support for newer hardware: graphics, Wi-Fi, and so on.

For more details, read our changelog.

Get Tails 7.10

To upgrade your Tails USB stick and keep your Persistent Storage

Automatic upgrades are available from Tails 7.0 or later to 7.10.
If you cannot do an automatic upgrade or if Tails fails to start after an automatic upgrade, please try to do a manual upgrade.

To install Tails 7.10 on a new USB stick

Follow our installation instructions.

The Persistent Storage on the USB stick will be lost if you install instead of upgrading.

To download only

If you don't need installation or upgrade instructions, you can download Tails 7.10 directly:

WSL container: A quiet revolution for Windows development

Thu, 23 Jul 2026 11:07:20 +0200

Running containers on Windows has never been as easy as it should be. While there are versions of Docker Desktop and Podman that work with both the Windows Subsystem for Linux (WSL) and Hyper-V, I’ve found both overly complex and unstable. Where they have worked, it’s turned out that Hyper-V has been the best option, using a Linux virtual machine to host my containers. That all adds up to overhead, layers of virtual infrastructure that get in the way of work and that need to be rebuilt every time I restart my PC.

Part of the problem is WSL. It’s a good tool, but WSL2’s file-system integration is slow, and you’re left having to work with code using Visual Studio Code’s remote integration, which means putting a VS Code Server in every container you’re building and testing. If you’re working with Kubernetes, that’s even more complexity that needs to be managed, dragging you away from code.

I ended up running most of my container testing and development from a separate machine, a Linux server running containerd. But though it worked (and had all the resources of workstation-class device), it wasn’t portable, and for some reason I’ve yet to uncover, Ubuntu’s remote desktop access doesn’t work for me.

So, it was good to see Microsoft make several announcements around WSL at Build 2026 as part of a push to make Windows a developer platform again. The first, an improved WSL3, is still some way away, but the second, WSL-native container support, shipped at the end of June. It is already seeing community-driven development of Docker Desktop-like tooling to help monitor and manage your containers.

Delivering a WSL-based container platform fits in with the other developer-focused Windows announcements at Build. Making Windows behave more like Linux is Microsoft responding to developer needs, given that more than 50% of servers on Azure run a Linux distribution. Linux is the basis of cloud-native infrastructure, so developers need to be able to build on it wherever they are.

Getting started with WSL container

WSL container provides a new CLI that works in parallel to the familiar WSL, with commands to support the entire container life cycle, from creation to shut down. All you need to do to get started is upgrade your WSL installation to the current pre-release build (at the time of writing this was 2.9.3). Simply open an administrator PowerShell terminal and enter wsl --update --pre-release.

This downloads and installs the latest WSL release. Once you’ve closed and re-opened your terminal (to ensure that you’ve updated its context) you can check that WSLC has installed by entering wslc, which should list the available commands. The new CLI is aliased to WSL container, if you prefer to keep your container work separate from WSL (and avoid typos that might accidentally affect your WSL installations).

Under the hood Microsoft is using WSL container to trial new integration points for Linux in Windows. One key change is the use of a new file system that significantly speeds up access to Windows from inside a container. Another improvement gives WSL container a new networking mode that relays networking connections directly through the Windows network stack, ensuring it has access to the same resources and security as Windows.

Calling Linux containers from Windows applications

Things get more interesting when you start to use the WSL container API from inside your Windows code. Here you can include calls to Linux containers inside your desktop applications, taking advantage of existing services, building and deploying containers from inside your CI/CD pipeline. Using the new file system and networking stack helps reduce the friction that comes with crossing the boundaries between the two platforms.

The WSL container API is available as a NuGet package, with support for C, C#, and C++. It allows your code to start and stop containers, and interact directly with them, sending command-line calls and reading back responses. Where things get interesting is being able to launch a containerized service from your code, exposing its REST or gRPC APIs on a local network port. Microsoft has provided sample code to show you what’s possible at this early stage.

Microsoft is doing something revolutionary here. It’s taking the cloud-native, service-driven model and bringing it into Windows and using it to bridge decades of divergent development. You no longer have to rewrite a service that works on Linux to run in Windows; all you need to do is containerize the service and launch it from the WSL container API. When you’re done, the API will tidy up after you, shutting down the container and reclaiming the memory it used.

It’s important to remember that this is only the first public preview of a rapidly developing platform. There are many opportunities here to, say, build on the syscall translation layer developed for WSL1 to produce a native Windows-to-Linux application integration stack that removes the overhead of using web-based service calls. It will be interesting to see what develops, but this first release is very interesting indeed.

Manage Linux containers from Windows

If you want a Docker Desktop-like experience for building and testing containers on Windows developer hardware, you may not have long to wait. WSL container’s underlying API is already being used to build tools that manage and monitor containers for you. One such tool is the WSL Container Desktop, under development on GitHub. While there aren’t any release builds yet, it’s easy enough to compile and get running by cloning the source repository and building using the .NET CLI. You do need to have the Windows App SDK installed, and some features require access to the Azure CLI.

WSL Container Desktop is built in C#, with a WinUI front end. It’s currently only verified for use on x64, though I was able to compile and run it on an Arm64 PC and use it to test and run containers. Once running, it gives you a well-designed front end for your WSL-hosted containers, showing what’s running and what resources they are using. You can link WSL Container Desktop to container registries, like Docker’s and Azure’s, so you can quickly pull base containers and then use the WSL container environment to add your own code and customizations.

Your main interaction point is the WSL Container Desktop dashboard, which shows what containers are running and their current resource usage. Elements are displayed in cards, taking a cue from Windows’ own user interface and especially from its Settings app. From the dashboard, you can drill down into the available containers, with quick start, stop, and reload options, as well as an extended memory that includes the ability to open a web browser to the appropriate port. I tested this with a container that included an entire KDE webtop, giving me a Linux distro running in a container in my browser.

Other options include a details view that displays current logs and provides tools for inspecting the state of a container. This is the type of tool that comes in useful when debugging and testing container applications, as it can provide insights that the WSL container CLI doesn’t offer. Another option helps you clean up after you’ve downloaded an image and don’t need it anymore, with analytics that show the largest images and images you haven’t used for some time. On top of its tooling for working with WSL containers, WSL Container Desktop provides a basic settings tool that helps you configure its look and feel, as well as how it integrates with Windows.

Run Kubernetes inside Windows for cloud-native development

One of the more useful features of WSL Container Desktop is the ability to quickly stand up a K3s Kubernetes instance in WSL that can be used to host WSL containers, providing a local environment to build and test cloud-native applications wherever you might be. The K3s tooling offers a similar experience to the Kubernetes project’s own Headlamp UI, making it easy to go between your development environment and a production Kubernetes cluster.

It’s fair to describe WSL container as one of those Windows features you didn’t think you needed, but now it’s here you can’t live without it. WSL container simplifies building a container development tool chain in Windows, and at the same time allows you to think about a new generation of hybrid applications that take advantage of decades of development in both Windows and Linux.

The result is something that was unimaginable a few years ago: dropping a Linux container into the middle of a Windows application and treating it as another local service. As the WSL container platform evolves, you should expect to see more ways of bringing Linux and Windows together, using containers to deliver a hybrid platform that gives us the best of both worlds at long last.

[Stable Update] 2026-07-23 - Kernels, Mesa, VirtualBox, Gambas3, COSMIC, Plasma, KDE Frameworks

Thu, 23 Jul 2026 09:31:27 +0200

Hello Manjaro user community, here we have another set of package updates. We are continuing our development of the upcoming release of ‘Bian-May’ which can be expected end of July or beginning of August. Development speed may be a little slower the upcoming weeks. However, still let us know any issues you may found thus far.

Current Promotions

Get the latest Gaming Laptop by Slimbook powered by Manjaro: Slimbook Manjaro III
Protect your personal data, keep yourself safe with Surfshark VPN: See current promotion

Recent News

New in Manjaro GNOME! Or, if you prefer the command line: (click for more details) KDE Plasma users with SDDM can now migrate to Plasma Login Manager (click for more details) NVIDIA 590 driver drops Pascal support (click for more details)

Manjaro 26.1 Bian-May - Preview released
Manjaro 26.0 Anh-Linh released
Manjaro Summit public Alpha now available
As of Linux 5.4.302, the 5.4 series is now EOL (End Of Life). Please install 5.10 LTS (Long Term Support) or 5.15 LTS.
As of Linux 6.16.12, the 6.16 series is now EOL (End Of Life). Please install 6.18 LTS (Long Term Support) and/or 6.12 LTS.
As of Linux 6.17.13, the 6.17 series is now EOL (End Of Life). Please install 6.18 LTS (Long Term Support) and/or 6.12 LTS.
As of Linux 6.19.14, the 6.19 series is now EOL (End Of Life). Please install 7.0, and/or 6.18 LTS (Long Term Support) and/or 6.12 LTS.
As of Linux 7.0.14, the 7.0 series is now EOL (End Of Life). Please install 7.1, and/or 6.18 LTS (Long Term Support) and/or 6.12 LTS.

Previous News (click for more details)

Notable Package Updates

Additional Info

Python 3.14 info (click for more details) Info about AUR packages (click for more details)

Get our latest daily developer images now from Github: Plasma, GNOME, XFCE. You can get the latest stable releases of Manjaro from CDN77.

Our current supported kernels

linux61 6.1.177
linux66 6.6.144
linux612 6.12.96
linux618 6.18.39
linux71 7.1.4
linux72 7.2.0-rc4
linux61-rt 6.1.167_rt62
linux66-rt 6.6.135_rt74
linux612-rt 6.12.89_rt18

Package Changes (7/22/26 05:45 CEST)

stable core x86_64: 71 new and 71 removed package(s)
stable extra x86_64: 1982 new and 2071 removed package(s)
stable multilib x86_64: 32 new and 32 removed package(s)

A list of all package changes can be found here.

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Azure DevOps MCP: Unsichtbare PR-Kommentare kapern KI-Review-Agenten und leaken Projektinfos

Thu, 23 Jul 2026 09:24:46 +0200

LONDON (IT BOLTWISE) – Eine einzelne HTML-Notiz in der Beschreibung eines Pull Requests kann eine KI-gestützte Review-Automation missbrauchen und damit Zugriff über Projektgrenzen hinweg verschieben. Der Angriff läuft nicht als „klassisches“ Prompt-Troubleshooting, sondern nutzt eine Lücke in der Werkzeugverkettung des offiziellen MCP-Servers. Besonders kritisch wird es, wenn ein Reviewer die KI mit höherer Berechtigung ausführt […]

... den vollständigen Artikel »Azure DevOps MCP: Unsichtbare PR-Kommentare kapern KI-Review-Agenten und leaken Projektinfos« lesen

Dieser Beitrag Azure DevOps MCP: Unsichtbare PR-Kommentare kapern KI-Review-Agenten und leaken Projektinfos erschien als erstes auf IT BOLTWISE x Artificial Intelligence.

Microsoft’s 3-day patching directive comes with added operational risk

Thu, 23 Jul 2026 09:10:44 +0200

Microsoft 365 Director Jeremy Chapman this month took to video to tell Windows admins that the days of delaying security patches are over.

Complex enterprise systems and historic incidents involving patch problems have caused many admins to hold fire on immediately applying security patches, in many cases deferring patch rollouts for two to four weeks or more to ensure stability. Microsoft argues that this cautious approach, though understandable, is no longer viable because AI is accelerating the discovery and exploitation of software vulnerabilities.

As a result, Microsoft has advised admins to act on patches within three days.

Independent experts agree with Microsoft’s diagnosis of the problems posed by AI-powered vulnerability discovery, but many say Microsoft’s three-day remediation window is unrealistic for large enterprises with heavy testing, change-control, and compatibility constraints.

Instead of taking a blanket approach, enterprises need to focus more on quickly resolving those vulnerabilities that are under active exploitation and relevant to their environments, according to critics of Microsoft’s revised approach.

Tighter patching deadlines

Microsoft’s revised vulnerability remediation advice comes in the wake of its work with Anthropic’s Project Glasswing and findings from Microsoft’s own MDASH multi-model agentic scanning harness. Tighter patching deadlines are configurable via Windows Autopatch and Microsoft Intune or update tooling options such as Microsoft Configuration Manager and Windows Server Update Services.

As IT environments become increasingly more complex, inadvertent issues can occur with what appears to be a simple patch.

Unique or complex deployments may not be compatible with a patch, resulting in potential data corruption, system shutdown, or the dreaded “Blue Screen of Death.” Multiple vendors in the operating system and the enterprise software and security market have released patches that have broken products and caused outages, so the issue goes well beyond Windows shops.

Increasing both the volume and the speed of patching is unsustainable for most security teams because organizations are already struggling with successful remediation as it is.

“Many organizations have patch windows, review cycles, and test environments to identify these issues prior to patching production environments,” says Scott Caveza, senior research manager at exposure management and vulnerability assessment firm Tenable. “Organizations lacking the resources for extended validation risk deploying faulty patches that cause downtime or force last-minute configuration changes.”

Caveza adds: “The mitigation steps will vary for each organization, but blindly relying on auto-updates without contextual validation is not a defensible security posture.”

CISA’s Known Exploited Vulnerabilities list and other industry data suggest that only a small fraction of disclosed vulnerabilities are confirmed as exploited in the wild.

“[Enterprises should focus on] identifying vulnerabilities with credible and functional PoCs, verified exploitation, or sustained attention from ransomware groups, threat actors, and botnets,” says Caitlin Condon, vice president of security research at VulnCheck. “Timely exploit intelligence helps organizations identify the bugs that require immediate attention, while allowing lower-risk issues to proceed through appropriate testing and change control.”

Other independent experts are more sympathetic to Microsoft’s argument that AI has made vulnerability discovery and exploit development faster than ever and, as a result, the risks of delaying patches are far greater.

“Organizations sometimes delay patches to protect the uptime of critical systems, and many updates still require a restart,” says Danny Jenkins, CEO and co-founder at endpoint protection technology vendor ThreatLocker. “Some teams also stay one update cycle behind because they are concerned that a new patch could introduce bugs or break an overlooked dependency. Unfortunately, delaying patches to preserve uptime is becoming much harder to justify.”

Jenkins adds: “Organizations should not leave critical systems exposed while waiting for the next maintenance window. Patches should still be tested, but that process needs to move quickly, with the highest priority given to vulnerabilities that are actively exploited or exposed to the internet. A controlled interruption is usually far less costly than a successful attack exploiting a known vulnerability.”

Wider cross-industry impact

Microsoft’s three-day recommendation reflects a fundamental change in the threat landscape. Other vendors might be expected to follow suit and that means CISOs need to revise their approach to vulnerability remediation.

“Organizations should expect faster disclosure-to-exploitation timelines to become the norm, which means security programs must emphasize automation, trusted software supply chains, and continuous visibility rather than relying on periodic maintenance windows,” says Mike Nelson, VP and field CTO at DigiCert.

AI is compressing the time between vulnerability discovery and exploitation, and the industry is moving rapidly from 30-, 60-, and 90-day patching windows toward a matter of days.

However a “blanket three-day requirement for every vulnerability is neither realistic nor safe for most large organizations,” says Jeff Williams, founder and CTO at Contrast Security.

Failing to patch opens up security threats, but rushing an inadequately tested patch into production creates operational risk.

“The goal cannot be to treat every CVE [vulnerability] as an emergency,” according to Williams. “It has to be identifying, within hours, which vulnerabilities are actually exploitable and require immediate action.”

Holistic remediation

Security teams are already facing significant pressure to patch faster and to remediate a rising tide of new vulnerabilities, yet many practitioners are losing ground. Verizon’s Data Breach Investigation Report, published earlier this year, found that the median time to patch had actually increased to 43 days.

Patch deployment in enterprise environments involves configuration changes, reviews, testing, and validation.

Enterprises need to become more proficient at exposure management so that they have a holistic view of their environment that’s necessary to identify which assets are at greatest risk.

“By pinpointing the misconfigurations, identity flaws, and specific vulnerabilities that pose the greatest risk to their environment, security teams can prioritize exactly what to patch first,” Tenable’s Caveza says. “The idea of ‘patch everything’ is really outdated, and ‘patch faster’ isn’t feasible with the rapidly increasing number of vulnerabilities disclosed each day.”

CISOs will have to re-engineer their vulnerability and exposure management processes. “The traditional model of scanning everything, assigning generic severity scores, and tilting at a massive and expanding backlog is no longer fast enough,” says Contrast Security’s Williams.

Organizations need to identify the small number of vulnerabilities that matter, protect against them immediately, and remediate them on a timeline the business can safely support.

Enterprises should prioritize on resolving “internet facing, remotely exploitable vulnerabilities and any of the CISA Known Exploited Vulnerability list,” says Jose Lejin, an IEEE senior member.

Businesses that cannot safely validate and deploy patches within three days still have options, including “compensating controls, reducing an asset’s exposure, or in some cases removing the component entirely, all of which shrink the exploitable risk and buy time to patch properly,” says Brad Hibbert, CSO of vulnerability management provider Brinqa.

Ubuntu Sicherheitslücke (CVE-2026-8933)

Thu, 23 Jul 2026 08:03:28 +0200

Die Qualys Threat Research Unit (TRU) hat eine Local-Privilege-Escalation-Schwachstelle (LPE) in snap-confine identifiziert (CVE-2026-8933). Diese Schwachstelle erlaubt es einem nicht privilegierten lokalen Benutzer, auf Standardinstallationen von Ubuntu Desktop 24.04, 25.10 und 26.04 vollständigen Root-Zugriff zu erlangen. Ursache ist eine Security-Hardening-Änderung, … Weiterlesen →

Quelle

This Week In Rust: This Week in Rust 661

Thu, 23 Jul 2026 07:18:12 +0200

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

Official

Announcing Rust 1.97.1

Newsletters

The Embedded Rustacean Issue #76

Project/Tooling Updates

Observations/Thoughts

Rust Walkthroughs

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

Rust

Compiler Team (MCPs only)

Leadership Council

Deallocate post-2026 funds from PM and compiler-ops

Unsafe Code Guidelines

Do the bytes of a pointer have to stay in the same order?

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

RFC: Refactor the libs team

Upcoming Events

Rusty Events between 2026-07-22 - 2026-08-19 🦀

South America

2026-08-08 | São Paulo, SP | Rust-SP
- Rust SP - Aug/2026

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

Security: Mehrere Probleme in AIOHTTP (Ubuntu)

Thu, 23 Jul 2026 06:48:44 +0200

Security: Zwei Probleme in Exim (Ubuntu)

Thu, 23 Jul 2026 06:31:30 +0200

Security: Mehrere Probleme in Apache (Ubuntu)

Thu, 23 Jul 2026 06:31:29 +0200

Security: Mehrere Probleme in Gawk (Ubuntu)

Thu, 23 Jul 2026 06:31:27 +0200

Security: Mehrere Probleme in libarchive (Ubuntu)

Thu, 23 Jul 2026 06:31:26 +0200

Security: Überschreiben von Dateien in tar (Ubuntu)

Thu, 23 Jul 2026 06:31:24 +0200

G# language for .NET borrows from Go, Kotlin, and Swift

Thu, 23 Jul 2026 04:08:47 +0200

G# (GSharp) is moving forward as a programming language for Microsoft’s .NET platform, touted as bringing Go-, Kotlin-, and Swift-style ergonomics to the CLR (Common Language Runtime). The language is described by its creators as modern, simple, and accessible.

Although pre-1.0 and still growing, G# aims to be for people who want a small, predictable language with direct access to the .NET ecosystem. Developers will see imports, func, structs, slices, maps, channels, go, select, and for in iteration. Also important are nullable flow, direct calls into the CLR (Common Language Runtime), and built-in concurrency.

With G#, copyrighted in 2026, developers get value-oriented structs, reference-oriented classes, data structs, and data classes. For concurrency, G# uses scope for structured concurrency, async func and await for task-based asynchrony, and async sequence[T] for asynchronous streams. G# also makes use of the same Task and Task[T] types familiar from the .NET BCL (Base Class Library).

G# documentation is available on the GitHub site of Microsoft software engineer David Obando. “Every .NET type—your packages, third-party NuGet packages, the BCL—is callable from G# with the syntax you already know. CLR generics use G#’s bracket spelling, and method calls, properties, indexers, and for in over IEnumerable[T] all just work,” according to the website.

A Visual Studio Code extension for G3 can be found at marketplace.visualstudio.com. The extension adds syntax highlighting, language server features, build/run commands, and debugger configuration for .gs and .gsproj files. Developers can install the extension from within VS Code (search for “G#” in the Extensions view) or from the command line.

HPR4689: Cheap Yellow Display Project Part 8: Writing the code

Thu, 23 Jul 2026 02:06:01 +0200

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.

I... make that "We" (Claude & I) will be modifying the code to support an audio side tone through an attached speaker when sending code
We will add an output selection switch to the config page to choose any combination of speaker, relay, or LED as output.
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.

How to Patch Ubuntu Snap Vulnerabilities (2026)

Thu, 23 Jul 2026 02:00:52 +0200

Ubuntu disclosed three snapd vulnerabilities, two rated high severity. CVE-2026-8933 allows local root escalation on Ubuntu 22.04, 24.04, and 26.04. Patch now with sudo snap refresh and verify.

CVE-2026-8933: Ubuntu security flaw breaks Snap sandbox protections

Thu, 23 Jul 2026 01:38:50 +0200

Qualys disclosed CVE-2026-8933, a high-severity Ubuntu flaw that lets local attackers gain root privileges through a race condition in snap-confine. Qualys has disclosed a high-severity local privilege escalation vulnerability, tracked as CVE-2026-8933 (CVSS score of 7.8), affecting default installations of Ubuntu…

The post CVE-2026-8933: Ubuntu security flaw breaks Snap sandbox protections appeared first on IT Security News.

You Read Them, You Rate Them: SUSE Documentation Survey 2026

Thu, 23 Jul 2026 01:17:49 +0200

The 2026 SUSE Documentation Survey is LIVE! Enterprise software is only as good as the docs that power it, and nobody knows where our docs shine—or where they fall short—better than you. Whether you rely on our guides to keep mission-critical infrastructure running smoothly or drop in for quick troubleshooting, your real-world experience directly shapes […]

The post You Read Them, You Rate Them: SUSE Documentation Survey 2026 appeared first on SUSE Communities.

CVE-2026-8933: Ubuntu security flaw breaks Snap sandbox protections

Thu, 23 Jul 2026 00:53:15 +0200

Tails 7.6.1

Wed, 22 Jul 2026 23:53:43 +0200

This release is an emergency release to fix important security vulnerabilities in Tor Browser.

Changes and updates

Update Tor Browser to 15.0.9, which fixes several vulnerabilities in Firefox 140.9.0.

We are not aware of these vulnerabilities being exploited in practice.
Update the Tor client to 0.4.9.6.
Update Thunderbird to 140.9.0.
Update some firmware packages. This improves support for newer hardware: graphics, Wi-Fi, and so on.

For more details, read our changelog.

Get Tails 7.6.1

To upgrade your Tails USB stick and keep your Persistent Storage

Automatic upgrades are available from Tails 7.0 or later to 7.6.1.
If you cannot do an automatic upgrade or if Tails fails to start after an automatic upgrade, please try to do a manual upgrade.

To install Tails 7.6.1 on a new USB stick

Follow our installation instructions:

The Persistent Storage on the USB stick will be lost if you install instead of upgrading.

To download only

If you don't need installation or upgrade instructions, you can download Tails 7.6.1 directly:

Tails 7.8

Wed, 22 Jul 2026 23:53:36 +0200

Changes and updates

Update Tor Browser to 15.0.14.
Remove Thunderbird.

You can still install Thunderbird as additional software.

If you have both the Thunderbird Email Client and Additional Software features of the Persistent Storage turned on, Tails automatically adds Thunderbird to your list of additional software.

A new version of Thunderbird is released in Debian shortly after each Tails release, because both Tails and Thunderbird follow the release calendar of Firefox. As a consequence, until Tails 7.5 (February 2026), the version of Thunderbird in Tails was almost always outdated, with known security vulnerabilities.

By installing Thunderbird as additional software, the latest version of Thunderbird is installed automatically from your Persistent Storage each time you start Tails.

Fixed problems

Fix multiple security vulnerabilities in the Linux kernel and haveged, that could allow an application in Tails to gain administration privileges.

For example, if an attacker was able to exploit other unknown security vulnerabilities in an application included in Tails, they might then use one of these vulnerabilities to take full control of your Tails and deanonymize you.

For more details, read our changelog.

Get Tails 7.8

To upgrade your Tails USB stick and keep your Persistent Storage

Automatic upgrades are available from Tails 7.0 or later to 7.8.
If you cannot do an automatic upgrade or if Tails fails to start after an automatic upgrade, please try to do a manual upgrade.

To install Tails 7.8 on a new USB stick

Follow our installation instructions:

The Persistent Storage on the USB stick will be lost if you install instead of upgrading.

To download only

If you don't need installation or upgrade instructions, you can download Tails 7.8 directly:

Tails 7.9

Wed, 22 Jul 2026 23:53:33 +0200

Changes and updates

Update Tor Browser to 15.0.16.
Update some firmware packages. This improves support for newer hardware: graphics, Wi-Fi, and so on.

Fixed problems

Stop notifying about outdated Secure Boot certificates in rare cases where the certificates are already up to date. (#21643)

For more details, read our changelog.

Get Tails 7.9

To upgrade your Tails USB stick and keep your Persistent Storage

Automatic upgrades are available from Tails 7.0 or later to 7.9.
If you cannot do an automatic upgrade or if Tails fails to start after an automatic upgrade, please try to do a manual upgrade.

To install Tails 7.9 on a new USB stick

Follow our installation instructions.

The Persistent Storage on the USB stick will be lost if you install instead of upgrading.

To download only

If you don't need installation or upgrade instructions, you can download Tails 7.9 directly:

Here’s why your Ubuntu 26.04 install is quiet about updates

Wed, 22 Jul 2026 23:31:19 +0200

If Ubuntu 26.04 LTS hasn’t nagged you about pending updates in a while, there’s a reason for that. A Launchpad bug report and related discussion on the Ubuntu Discourse noticed that the distro’s update-manager no longer notifies when updates are pending unless the update notification tray icon is enabled. The rub? That tray icon as turned off in Ubuntu 26.04 (with no toggle in Settings to turn it back on). This is not as “risky” as it might sound, though. Ubuntu ships with unattended-upgrades enabled by default, which installs security updates in the background – you’re just not told about […]

You're reading Here’s why your Ubuntu 26.04 install is quiet about updates, a blog post from OMG! Ubuntu. Do not reproduce elsewhere without permission.

Zwei Probleme in GIFLIB (Ubuntu)

Wed, 22 Jul 2026 23:09:14 +0200

Mehrere Probleme in GStreamer (Ubuntu)

Wed, 22 Jul 2026 23:09:09 +0200

Preisgabe von Informationen in HTML-Parser (Ubuntu)

Wed, 22 Jul 2026 23:09:04 +0200

Mehrere Probleme in Kerberos (Ubuntu)

Wed, 22 Jul 2026 23:08:53 +0200

Mehrere Probleme in libgphoto2 (Ubuntu)

Wed, 22 Jul 2026 23:08:52 +0200

OpenAI’s rogue AI agents are a wake-up call for its risks | Shakeel Hashim

Wed, 22 Jul 2026 22:59:10 +0200

Hacking of Hugging Face shows we do not seem to have reliable ways to curb extremely powerful AI systems

Last week Hugging Face – a company that hosts artificial intelligence models and datasets – was hacked.

After it reported the incident to law enforcement, few would have predicted what came next: the culprits were revealed to be AI agents from OpenAI, which had broken out of containment and were acting of their own accord.

Shakeel Hashim is the editor of Transformer, a publication about the power and politics of transformative AI

New Release: Tails 7.9

Wed, 22 Jul 2026 22:34:51 +0200

Changes and updates

Update Tor Browser to 15.0.16.
Update some firmware packages. This improves support for newer hardware: graphics, Wi-Fi, and so on.

Fixed problems

Stop notifying about outdated Secure Boot certificates in rare cases where the certificates are already up to date. (#21643)

For more details, read our changelog.

Get Tails 7.9

To upgrade your Tails USB stick and keep your Persistent Storage

Automatic upgrades are available from Tails 7.0 or later to 7.9.
If you cannot do an automatic upgrade or if Tails fails to start after an automatic upgrade, please try to do a manual upgrade.

To install Tails 7.9 on a new USB stick

Follow our installation instructions.

The Persistent Storage on the USB stick will be lost if you install instead of upgrading.

To download only

If you don't need installation or upgrade instructions, you can download Tails 7.9 directly:

Support and feedback

For support and feedback, visit the Support section on the Tails website.

New Alpha Release: Tor Browser 16.0a8

Wed, 22 Jul 2026 22:34:02 +0200

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.

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:

All Platforms
- Updated NoScript to 13.6.25.90301984
- Updated Tor to 0.4.9.11
- Updated OpenSSL to 3.5.7
- Bug tor-browser#44857: Drop browser.display.use_system_colors from our preference list
- Bug tor-browser#44896: Review Mozilla 2030929: Remove unused pref privacy.partition.network_state
- Bug tor-browser#45018: resistfingerprinting not available in appearance.mjs in 152
- Bug tor-browser#45019: ReportBrokenSite startup error in 152
- Bug tor-browser#45047: Cross-site oracle via worklet rejection error in Safer Mode
- Bug tor-browser#45072: Disable XSLT already for 16.0
Windows + macOS + Linux
- Updated Firefox to 152.0a1
- Bug tor-browser#44528: Make sure desktop IP Protection is disabled on desktop
- Bug tor-browser#44795: Revert BB 27604 patch as not needed anymore
- Bug tor-browser#44844: Use new urlbar CSS variables
- Bug tor-browser#44888: Use --button-opacity-disabled for disabled styling.
- Bug tor-browser#44955: Use context-fill for about-wordmark.svg
- Bug tor-browser#44956: Switch colours in letterboxing setting icons to match the tab-alignment icons
- Bug tor-browser#45016: Several errors about EngineProcess.sys.mjs in 152
- Bug tor-browser#45017: Wrong letterboxing background in 152
- Bug tor-browser#45037: Potential runtime errors in the search service when changing JS status
- Bug tor-browser#45043: Re-add missing changes to settings after 151/152 rebase
- Bug tor-browser#45083: Error in about:preferences due to ipprotection missing
macOS
- Bug tor-browser#44728: Bundled fonts are broken on macOS when the GPU process is enabled
Linux
- Bug @ libfontconfig.so.1#45048: Backport Bugzilla 2041887: Crash in after users upgraded to fontconfig 2.18.0 [tor-browser]
Android
- Updated GeckoView to 152.0a1
- Bug tor-browser#43856: Fix onBackPressed() deprecation
- Bug tor-browser#44091: Add frequent regions to tor connection assist for android
- Bug tor-browser#44175: Remove all default browser functionality (Android)
- Bug tor-browser#44769: TBA crash screen has firefox asset as well as a "Send crash report" button
- Bug tor-browser#45052: Initialise Tor modules on android in the same order as desktop
Build System
- All Platforms
  - Bug tor-browser-build#41802: Remove the tor daemon requirement for signing
  - Bug tor-browser-build#41809: Update toolchains for Firefox 152
  - Bug tor-browser-build#41813: Disable build artifacts in make generate_gradle_dependencies_list-geckoview
  - Bug tor-browser-build#41821: Update gpg subkeys for boklm
  - Bug tor-browser-build#41823: Add versions information to the toolchain list update
  - Bug tor-browser-build#41827: Update morgan's keychain with renewed key
- Windows + Linux + Android
  - Updated Go to 1.26.4
- Windows
  - Bug tor-browser-build#41810: Define GetAddrInfoExCancel on mingw
- Android
  - Bug tor-browser#45086: Compress omni.ja with xz on Android
  - Bug tor-browser-build#41830: Update the browser project to change omni.ja.xz

USN-8588-1: Gawk vulnerabilities

Wed, 22 Jul 2026 22:01:42 +0200

It was discovered that Gawk incorrectly handled memory when processing input using the getline redirection. An attacker could possibly use this issue to cause a denial of service. (CVE-2026-40467) It was discovered that Gawk incorrectly handled certain integer calculations when allocating memory. An attacker could possibly use this issue to cause a denial of service or overwrite heap memory with attacker-controlled data. (CVE-2026-40468) It was discovered that Gawk incorrectly handled certain integer calculations when performing substitutions. An attacker could possibly use this issue to cause a denial of service. (CVE-2026-40469) It was discovered that Gawk incorrectly handled memory when reading directory entries. An attacker could possibly use this issue to cause a denial of service or execute arbitrary code. This issue only affected Ubuntu 26.04 LTS. (CVE-2026-40553)

v0.388.0

Wed, 22 Jul 2026 21:50:45 +0200

What's Changed

Type GitHub release metadata by @JamieMagee in #15597
Make GitCommitChecker strongly typed by @JamieMagee in #15598
Retry corepack prepare and install on signature metadata errors from private registries by @kbukum1 in #15606
Fix UV DependencyGrapher to detect nested uv.lock in monorepos by @thavaahariharangit with @Copilot in #15520
Bump library/rust from 1.95.0-bookworm to 1.97.0-bookworm in /cargo by @dependabot[bot] in #15560
Bump @sigstore/core from 3.1.0 to 3.2.1 in /npm_and_yarn/helpers by @dependabot[bot] in #15455
Bump maven from 3.9.14 to 3.9.16 in /maven by @dependabot[bot] in #15127
Support Bundler source cooldown in Dependabot cooldown flow by @robaiken in #15517
Type shared release metadata by @JamieMagee in #15607
Make Job strongly typed by @JamieMagee in #15608
Type Job wire models by @JamieMagee in #15610
Type Service and ApiClient by @JamieMagee in #15614
Add support for calendar-based versions for Maven and Gradle by @yeikel in #14114
Type error reporting by @JamieMagee in #15615
Type updater dependency helpers by @JamieMagee in #15617
ensure proper formatting when patching element attributes by @brettfo in #15629
Bump ws from 8.18.3 to 8.21.1 in /npm_and_yarn/helpers/test/npm/fixtures/vulnerability-auditor/update-needed-across-two-versions by @dependabot[bot] in #15329
Bump lodash from 4.17.23 to 4.18.1 in /bun/helpers/test/yarn/fixtures/conflicting-dependency-parser/deeply-nested by @dependabot[bot] in #14608
Bump lodash from 4.17.23 to 4.18.1 in /npm_and_yarn/helpers/test/yarn/fixtures/conflicting-dependency-parser/deeply-nested by @dependabot[bot] in #14609
Bump lodash from 4.17.23 to 4.18.1 in /npm_and_yarn/helpers/test/npm6/fixtures/conflicting-dependency-parser/deeply-nested by @dependabot[bot] in #14610
Bump the dev-dependencies group across 1 directory with 2 updates by @dependabot[bot] in #14694
Bump pip from 26.1.1 to 26.1.2 in /python/helpers in the pip group across 1 directory by @dependabot[bot] in #11830
Bump yaml from 2.3.1 to 2.9.0 in /bun/helpers by @dependabot[bot] in #14535
npm_and_yarn: group vulnerability auditor blocking-dependency messages by top-level ancestor by @thavaahariharangit in #15627
Bump ip-address and socks in /bun/helpers by @dependabot[bot] in #14924
Bump brace-expansion from 1.1.13 to 1.1.16 in /bun/helpers/test/yarn/fixtures/conflicting-dependency-parser/deeply-nested by @dependabot[bot] in #15634
Bump brace-expansion from 1.1.13 to 1.1.16 in /npm_and_yarn/helpers/test/yarn/fixtures/conflicting-dependency-parser/deeply-nested by @dependabot[bot] in #15633
Bump sigstore/cosign/cosign from v3.1.1 to v3.1.2 in /docker in the regclient group across 1 directory by @dependabot[bot] in #15621
Bump lodash from 4.17.23 to 4.18.1 in /bun/helpers/test/npm6/fixtures/conflicting-dependency-parser/deeply-nested by @dependabot[bot] in #14606
Bump @tootallnate/once from 2.0.0 to 2.0.1 in /bun/helpers by @dependabot[bot] in #15107
Bump the "uv-ecosystem" group with 1 update across multiple ecosystems by @dependabot[bot] in #14969
Bump ip-address and socks in /npm_and_yarn/helpers by @dependabot[bot] in #14923
Bump yaml from 2.3.1 to 2.9.0 in /npm_and_yarn/helpers by @dependabot[bot] in #14533
Bump golang.org/x/mod from 0.37.0 to 0.38.0 in /go_modules/helpers by @dependabot[bot] in #15559
Bump @sigstore/verify from 3.1.0 to 3.1.1 in /npm_and_yarn/helpers by @dependabot[bot] in #15477
julia: don't propose compat updates for workspace packages or synthesize member compat entries by @IanButterworth in #15643
fix: guard against unparseable versions in cooldown fallback by @currantw in #15632
Type dependency requirement readers by @JamieMagee in #15646
v0.388.0 by @dependabot-core-action-automation[bot] in #15623

New Contributors

@currantw made their first contribution in #15632

Full Changelog: v0.387.0...v0.388.0

Ubuntu snap-confine Flaw Could Give Local Users Root on Default Desktop Installs

Wed, 22 Jul 2026 21:10:03 +0200

Cybersecurity researchers have disclosed details of a new local privilege escalation (LPE) vulnerability in snap-confine that an unprivileged user can trigger to obtain root access and gain complete control of a target environment. The high-severity flaw, tracked as CVE-2026-8933 (CVSS…

The post Ubuntu snap-confine Flaw Could Give Local Users Root on Default Desktop Installs appeared first on IT Security News.

IT Security News Hourly Summary 2026-07-22 21h : 12 posts

Wed, 22 Jul 2026 21:09:50 +0200

12 posts were published in the last hour 19:4 : Ubuntu snap-confine Flaw Could Give Local Users Root on Default Desktop Installs 18:36 : Public PoC Released for Windows NT OS Kernel Privilege Escalation Vulnerability 18:36 : A Hidden Line…

The post IT Security News Hourly Summary 2026-07-22 21h : 12 posts appeared first on IT Security News.

Ubuntu snap-confine Flaw Could Give Local Users Root on Default Desktop Installs

Wed, 22 Jul 2026 20:58:35 +0200

Raspberry Pi launch 10-inch Touch Display 2 for $80

Wed, 22 Jul 2026 20:40:45 +0200

Raspberry Pi has launched a 10-inch version of its Touch Display 2 with a 1200×1920 resolution and 10-point captive touchscreen for $80/£77. 5-inch and 7-inch variants of the Touch Display 2 have been available for a while, but Raspberry Pi’s Gordon Hollingworth says the new version gives makers a larger, higher resolution screen to use in their projects. Like the smaller versions, the 10.1″ Touch Display 2 uses a portrait orientation by default, where the displays are often used for home automation dashboards, kiosks, digital signage, control panels, etc. It can be used in landscape by changing the orientation in […]

You're reading Raspberry Pi launch 10-inch Touch Display 2 for $80, a blog post from OMG! Ubuntu. Do not reproduce elsewhere without permission.

OnionHop 3.6.1

Wed, 22 Jul 2026 20:29:19 +0200

A patch for v3.6. The SNI scanner shipped broken and is fixed here; please update if you use it.

Fixed

SNI scanner never found a working host. Every probe failed with an internal .NET SslStream error (the certificate-validation callback was set in two places at once), so results always came back "blocked" and the scanner looked like it did nothing. It now completes TLS handshakes and reports reachable SNI hosts correctly.
SNI scanner status messages are now localized ("Ready.", "Scanning…", "Enter at least one domain to test.", etc.) instead of always showing in English.

Added

The saved-bridges library now shows a Ping column - the latency measured when each entry was saved.

Downloads

Platform	File
Windows installer	`OnionHop-Setup-v3.exe`
Windows portable	`OnionHopV3-Portable-3.6.1-win-x64.zip`
Windows CLI	`OnionHop-CLI-Setup-3.6.1.exe` / `OnionHopCLI-Portable-3.6.1-win-x64.zip`
Linux	`OnionHop-x86_64.AppImage`
Linux CLI	`OnionHopCLI-3.6.1-linux-x64.tar.gz`
macOS (Apple Silicon)	`OnionHop-3.6.1-macOS-arm64.dmg`
macOS (Intel)	`OnionHop-3.6.1-macOS-x64.dmg`
macOS CLI (Apple Silicon)	`OnionHopCLI-3.6.1-macos-arm64.tar.gz`
macOS CLI (Intel)	`OnionHopCLI-3.6.1-macos-x64.tar.gz`

Ubuntu: Enterprise Store verteilt Snaps ohne direkten Internetzugang

Wed, 22 Jul 2026 19:49:14 +0200

Canonical bringt einen Enterprise Store: Hierbei handelt es sich um einen Proxy für die lokale Verteilung von Snap-Paketen in Unternehmensnetzen.

CVE-2026-15226 | Canonical Ubuntu 16.04 LTS up to 24.04 LTS snap-confine sandbox (WID-SEC-2026-2469)

Wed, 22 Jul 2026 19:13:24 +0200

A vulnerability marked as very critical has been reported in Canonical Ubuntu 16.04 LTS up to 24.04 LTS. This issue affects some unknown processing of the component snap-confine. This manipulation causes sandbox issue. This vulnerability appears as CVE-2026-15226. The attack requires local access. There is no available exploit.

CVE-2026-8933 | Canonical Ubuntu 22.04/24.04/26.04 snap-confine sandbox (WID-SEC-2026-2469)

Wed, 22 Jul 2026 19:13:17 +0200

A vulnerability identified as very critical has been detected in Canonical Ubuntu 22.04/24.04/26.04. Impacted is an unknown function of the component snap-confine. This manipulation causes sandbox issue. This vulnerability is registered as CVE-2026-8933. The attack needs to be launched locally. No exploit is available.

PyPI now rejects new files after 14 days

Wed, 22 Jul 2026 18:24:49 +0200

Python Software Foundation security developer-in-residence Seth Larson has announced that the Python Package Index (PyPI) will now reject new files that are uploaded to releases older than 14 days. The restriction is to prevent the poisoning of old releases if publishing tokens or workflows of PyPI projects are compromised.

The discussion of this behavior began during PEP 740 (Digital Attestations) back in January 2024. The discussion was restarted in March 2026 after the popular packages LiteLLM and Telnyx were compromised. These packages were compromised due to a "mutable reference" in these projects' usage of the Trivy GitHub Action.

Originally the discussion stalled due to some projects depending on this behavior to add support for new Python versions to already-published releases. To quantify how disruptive this change would be to existing workflows, the PyPI database was queried for projects that have published new files to old releases (bucketed by number of days since the release). Later, specifically cp314 wheels were queried for the top 15,000 packages, revealing that only 56 projects of 15,000 had published a 3.14-compatible wheel more than 14 days after a release was available.

LWN covered the LiteLLM compromise in March.

OpenAI unveils Presence, a new platform that lets enterprises launch and manage realtime voice agents and chatbots

Wed, 22 Jul 2026 18:12:08 +0200

OpenAI has announced Presence, a new enterprise product for deploying and managing AI agents across customer-facing and internal business workflows.

The offering is designed for eligible enterprise customers that want agents to answer questions, access company systems, take approved actions and escalate to human workers while operating under company-defined policies, permissions and evaluation standards.

Presence is available immediately through a limited general availability program. OpenAI Forward Deployed Engineers (FDEs) and select global systems integrators lead deployments, and the product is not available on a self-service basis.

OpenAI has not disclosed pricing, geographic limits, contractual terms or the expected cost of the engineering and integration work that accompanies a deployment. The company also has not said whether Presence can use models from providers other than OpenAI, including the increasingly powerful and popular Chinese open weights alternatives like GLM-5.2 and Kimi K3. I've asked an OpenAI contact to clarify both pricing and external-model compatibility, but those remain unanswered questions for now. I'lll update when I hear back.

OpenAI positions Presence as a response to a problem that has become more important as companies move beyond AI demonstrations: getting agents to behave reliably in production as business rules, customer needs and operating conditions change. Presence packages the policies, system connections, evaluations, guardrails and update processes required to run agents inside an enterprise.

If your business has been interested in using AI agents, but you aren't sure how to stitch together OpenAI's models, APIs, internal systems, security controls and evaluation tools into something reliable, Presence is designed to simplify that process. Instead of building the infrastructure yourself, you work with OpenAI and its deployment engineers to put production-ready agents into your existing workflows.

The product is available today for real-time voice and chat experiences, according to OpenAI’s formal announcement. The company’s outreach materials also describe a broader ambition spanning voice, chat, email and other channels, but OpenAI has not confirmed that email support is available at launch.

A governed foundation for production agents

Presence brings together company knowledge, standard operating procedures, approved actions, simulations, evaluation tools, guardrails and escalation rules. Enterprises can reuse some controls across deployments while adjusting others for a particular workflow or channel.

Each deployment starts with a defined job, such as resolving a billing issue, supporting an insurance claim or handling an employee IT request. The agent receives only the information and system access required for that task. The customer determines what the agent may do independently, which actions require approval and when a person must take over.

Before an agent reaches production, teams can test it against common requests, unusual edge cases and higher-risk scenarios. Graders evaluate whether it reached the intended outcome, followed policy, used tools correctly and escalated when required. Guardrails can intervene when an interaction moves outside the organization’s defined boundaries.

OpenAI shared promotional screenshots with VentureBeat showing administrators running simulation batches against policy changes, including a revised annual refund policy, and reviewing results across operational categories.

Other interface mockups display production health, customer-intent patterns and task-performance signals. The visuals illustrate the type of oversight OpenAI is promising, although they do not establish how those metrics are calculated or how they map to contractual service levels.

The product continues to monitor performance after launch. Production sessions, escalations and quality signals can reveal where an agent is working as intended and where it needs attention. Codex, using a Presence plugin, investigates those signals and proposes updates. Teams then test a proposed change against the version already in production before approving a controlled rollout.

That process is intended to address one of the hardest operational problems in enterprise AI: an agent that works at launch may become less reliable when policies, products or user behavior change. Presence gives companies a formal mechanism for updating behavior without allowing an automated system to rewrite itself unchecked.

OpenAI says Presence already powers its English-language phone-support channel at 1-888-GPT-0090. The system handles open-ended requests, verifies callers, uses account context and performs approved actions. According to the company, it now resolves 75% of inbound issues without human assistance.

OpenAI also says its Codex-powered improvement loop reduced human handoffs by 15 percentage points over a 10-day period. Those figures are company-reported and have not been independently verified.

Several large organizations are evaluating the same foundation. BBVA is exploring voice support for routine banking needs in Mexico. SoftBank is testing natural Japanese-language customer conversations, while Australian insurer IAG is exploring support during high-demand periods such as severe weather and natural disasters.

“At BBVA, we are working closely with OpenAI to explore how trusted customer agents can help shape the future of financial services,” said Daniel Ordaz, head of AI transformation at BBVA Mexico.

“Through our collaboration with OpenAI, we are exploring how Presence can enable trusted customer agents that communicate naturally, connect to the processes needed to resolve requests, and represent SoftBank consistently across customer interactions,” said Tadahisa Murakami, vice president and head of the Data & Digital Transformation Division at SoftBank Corp.

From model access to forward-deployed implementation

Presence expands OpenAI’s enterprise strategy beyond APIs and subscription software by formalizing a high-touch deployment model. Forward Deployed Engineers work alongside customers to select workflows, connect internal systems, establish permissions, configure policies, test agents and move them into production.

That approach resembles a model pioneered by AI ontology and intelligence platform Palantir, which embeds FDEs with customers to adapt its proprietary software to complex government and commercial environments. The similarity lies less in the underlying technology than in the delivery method: both companies place technical personnel close to the customer’s operations, where integration and process design often determine whether software creates value.

The products are not interchangeable. Palantir’s model has historically centered on data integration, ontologies and operational decision systems. Presence is more narrowly focused on AI-agent behavior, approved actions, evaluations, escalation and continuous improvement. OpenAI presents it as a repeatable software product supported by engineers and systems integrators, rather than as consulting alone.

In May 2026, OpenAI launched its own enterprise AI consulting and integration firm, the OpenAI Deployment Company, with investment and support from Bain & Company. It also offers programs for model customization and fine-tuning to fit specific enterprise needs.

Its chief U.S. rival Anthropic has also moved toward a services-led enterprise model through Ode, its consulting organization built around forward-deployed engineers helping companies integrate Claude into complex workflows, which launched just a week ago. The broad rationale is similar: enterprises often need more than access to a model. They need help connecting data and systems, defining permissions, validating behavior and managing deployment risk.

Presence differs in how explicitly OpenAI packages those requirements into a branded agent-governance product. Anthropic’s initiative is centered on helping enterprises deploy Claude, while Presence combines implementation services with a defined operational layer for policies, simulations, evaluations, approvals and production updates.

Presence goes further by making forward deployment a core part of how a specific agent product reaches customers. It does not replace OpenAI’s API business; the company says it will continue supporting voice customers with access to frontier models through the OpenAI API.

The trend reflects a broader market view that many enterprises still need hands-on assistance to move agents from pilot projects into stable operations. Even organizations with strong internal engineering teams must coordinate security, compliance, workflow ownership, data access and escalation responsibilities. Presence attempts to consolidate those tasks rather than leaving customers to assemble separate orchestration, evaluation and consulting layers.

A recent security breach looms in the background

Inconveniently for OpenAI, the Presence launch arrives just a day after OpenAI and Hugging Face disclosed an unprecedented security incident in which OpenAI frontier models undergoing internal evaluation escaped containment, accessed the open web, and cyberattacked Hugging Face to achieve a benign goal — without being instructed to pursue these methods.

According to the described joint disclosure, OpenAI models operating in an evaluation framework called ExploitGym identified and exploited a zero-day vulnerability in a third-party package-registry cache proxy. The models reportedly escalated privileges, moved laterally and obtained internet access before targeting Hugging Face systems while seeking benchmark-related information.

The incident is relevant to enterprise buyers because it raises questions about sandboxing, tool permissions, external access, monitoring and incident response.

The disclosure also highlighted a practical problem for defenders. Hugging Face personnel reportedly found that commercial frontier-model APIs refused some forensic requests because logs contained exploit payloads, credentials and shell commands that triggered safety systems. The team then used a locally deployed open-weight model to assist with analysis.

Presence therefore arrives as both a product launch and a test of OpenAI’s ability to convert model capability into controlled enterprise operations. Its policies, simulations, evaluations and human approvals address real deployment gaps. But without public pricing, technical interoperability details, compliance information or service-level commitments, customers still lack much of the information needed to assess total cost and operational risk.

For now, Presence appears aimed at enterprises willing to adopt a high-touch, OpenAI-led deployment process. Whether it develops into a broadly accessible platform—or remains a closely managed product for selected customers—will depend in part on the answers OpenAI has not yet provided.

Proton VPN's anti-censorship Stealth protocol finally lands on Linux

Wed, 22 Jul 2026 17:49:53 +0200

Proton VPN has officially launched its Stealth protocol in beta for Linux. Available now on the GUI app for Debian, Ubuntu, and Fedora, the obfuscation tool disguises VPN traffic to help users bypass strict online censorship and restrictive firewalls.

Ubuntus Snap-Sandbox wird zum Root-Einfallstor - IT-Administrator.de

Wed, 22 Jul 2026 17:47:52 +0200

Ein Sicherheitsteam von Qualys hat eine Schwachstelle in der Snap-Sandbox von Ubuntu aufgedeckt, mit der sich jeder lokale Nutzer binnen Sekunden ...

Critical Meta Vulnerability Exposed Customer Support Emails, Chats, and Uploaded Files

Wed, 22 Jul 2026 17:46:46 +0200

A broken access control flaw in Meta’s shared customer support systems exposed sensitive user data, including emails, chat conversations, and uploaded files. Discovered during security testing of Meta Horizon Managed Solutions, the vulnerability revealed a broader authorization weakness across multiple…

The post Critical Meta Vulnerability Exposed Customer Support Emails, Chats, and Uploaded Files appeared first on IT Security News.

Costs of B2B Friction – How Broken Partner Access Is Undermining Revenue

Wed, 22 Jul 2026 17:29:35 +0200

In this post, I will discuss about costs of B2B friction and show you how broken partner access is undermining revenue. The supply chain doesn’t break at logistics anymore. It breaks at login. According to the Thales Digital Trust Index 2026 report, 89% of partner users have delayed or abandoned work due to access issues. […]

The post Costs of B2B Friction – How Broken Partner Access Is Undermining Revenue appeared first on SecureBlitz Cybersecurity.

Security updates for Wednesday

Wed, 22 Jul 2026 17:09:17 +0200

Security updates have been issued by AlmaLinux (389-ds-base, c-ares, dovecot, freerdp, glib2, gstreamer1-plugins-good, gstreamer1-plugins-ugly-free, hplip, kernel, kernel-rt, nodejs:22, perl-XML-LibXML, webkit2gtk3, and yggdrasil), Debian (kernel, nss, roundcube, rtpengine, and xz-utils), Fedora (btrbk, kernel, mupdf, nuclei, perl-Crypt-OpenSSL-X509, rust-fern, rust-ifcfg-devname, rust-routinator, rust-rpki, and rust-syslog), Mageia (tig), Oracle (.NET 10.0, .NET 8.0, .NET 9.0, acl, dovecot, glib2, httpd, libtiff, pacemaker, perl-IO-Compress, plexus-utils, python3, and webkit2gtk3), Slackware (libssh and mozilla-firefox), SUSE (acl, avahi, aws-nitro-enclaves-cli, beets, chromium, firefox, go1.25-openssl, ImageMagick, iscsiuio, kernel, kubevirt1.8-container-disk, libgit2-1_9, libkrun, libsoup-3_0-0, nghttp2, opam, php7, python-aiohttp, python-tornado6, and vim), and Ubuntu (accountsservice, CUPS, imagemagick, jbig2dec, openssh, and snapd).

USN-8584-1: GStreamer Good Plugins vulnerabilities

Wed, 22 Jul 2026 16:55:08 +0200

It was discovered that GStreamer Good Plugins incorrectly handled certain Matroska files. An attacker could possibly use this issue to cause GStreamer Good Plugins to crash, resulting in a denial of service. This issue only affected Ubuntu 22.04 LTS and Ubuntu 24.04 LTS. (CVE-2026-39043) It was discovered that GStreamer Good Plugins incorrectly handled certain WAV files. An attacker could possibly use this issue to cause GStreamer Good Plugins to crash, resulting in a denial of service. This issue only affected Ubuntu 22.04 LTS and Ubuntu 24.04 LTS. (CVE-2026-39044) It was discovered that GStreamer Good Plugins incorrectly handled certain WavPack audio files. An attacker could use this issue to cause GStreamer Good Plugins to crash, resulting in a denial of service, or possibly execute arbitrary code. (CVE-2026-53705)

USN-8586-1: libgphoto2 vulnerabilities

Wed, 22 Jul 2026 16:55:05 +0200

It was discovered that libgphoto2 did not properly validate buffer boundaries when parsing EOS image format data. An attacker with physical access could possibly use this issue to obtain sensitive information. (CVE-2026-40333) It was discovered that libgphoto2 did not properly null-terminate buffers when parsing Canon folder entries. An attacker with physical access could possibly use this issue to obtain sensitive information. (CVE-2026-40334) It was discovered that libgphoto2 did not properly validate buffer boundaries when parsing device property values. An attacker with physical access could possibly use this issue to obtain sensitive information. (CVE-2026-40335) It was discovered that libgphoto2 had a memory leak when parsing Sony device property descriptors. An attacker with physical access could possibly use this issue to cause a denial of service. This issue only affected Ubuntu 26.04 LTS. (CVE-2026-40336) It was discovered that libgphoto2 did not properly validate buffer boundaries when parsing Sony device property enumeration data. An attacker with physical access could possibly use this issue to obtain sensitive information. (CVE-2026-40338) It was discovered that libgphoto2 did not properly validate buffer boundaries when parsing Sony device property form flags. An attacker with physical access could possibly use this issue to obtain sensitive information. (CVE-2026-40339) It was discovered that libgphoto2 did not properly validate buffer boundaries when parsing object information. An attacker with physical access could possibly use this issue to obtain sensitive information. (CVE-2026-40340) It was discovered that libgphoto2 did not properly validate buffer boundaries when parsing EOS focus information. An attacker with physical access could possibly use this issue to cause libgphoto2 to crash, resulting in a denial of service. (CVE-2026-40341)

Critical Meta Vulnerability Exposed Customer Support Emails, Chats, and Uploaded Files

Wed, 22 Jul 2026 16:39:29 +0200

The post Critical Meta Vulnerability Exposed Customer Support Emails, Chats, and Uploaded Files appeared first on Cyber Security News.

OpenAI model escape puts enterprise AI defenses on notice

Wed, 22 Jul 2026 15:53:09 +0200

Some of OpenAI’s most powerful AI models teamed up to escape their sandbox and attack systems at Hugging Face in a cybersecurity evaluation gone wrong, the company has admitted. The models under test were modified to allow them to perform potentially harmful actions that production versions would refuse. The incident highlights how, if AI prompt guardrails fail or, as in this incident, are removed, then enterprises must have robust sandboxing or other technical restrictions in place to protect systems.

In OpenAI’s evaluation, GPT-5.6 Sol and a more capable pre-release model were competing to solve cybersecurity challenges in ExploitGym, a benchmarking tool for cybersecurity capabilities. They concluded that systems at Hugging Face could have the answers, and set out to gain access, OpenAI wrote in a blog post about the attack on Hugging Face.

ExploitGym challenges AI models to turn security vulnerabilities into attack exploits. OpenAI gave its models limited access to the internet through a package-registry proxy to download code to build their attacks. However, the models exploited a zero-day vulnerability in the proxy to obtain unrestricted internet access, then used stolen credentials and other flaws to access Hugging Face systems.

For CIOs and CISOs, the concern extends beyond cybersecurity research. AI agents connected to corporate databases, source code repositories, or payment systems could expose sensitive resources unless access controls and sandboxing continue to work when model-level safeguards fail.

“Prompt guardrails are not security controls,” said Biswajeet Mahapatra, principal analyst at Forrester. “They are behavioral controls that can fail, be bypassed, or be intentionally disabled during testing.”

How containment failed

Despite the relaxed model safeguards, the surrounding infrastructure was supposed to contain the activity. Network access was restricted to an internally hosted third-party service that acted as a proxy and cache for software package registries. Such proxies are typically used in the enterprise to protect against software supply chain attacks coming from the outside.

OpenAI said the models discovered a zero-day vulnerability in the service, exploited it and carried out privilege escalation and lateral movement until they reached a node with open internet access.

Once online, the models inferred that Hugging Face might hold models, datasets or solutions related to ExploitGym. OpenAI said that, in one attack path, the models combined stolen credentials with zero-day vulnerabilities to obtain remote code execution on Hugging Face servers.

In its account of the activity on its infrastructure, Hugging Face said a malicious dataset abused two code-execution paths in its data-processing pipeline. The actor then obtained node-level access, harvested cloud and cluster credentials, and moved into several internal clusters.

OpenAI said the models ultimately obtained ExploitGym test solutions directly from a Hugging Face production database. The models remained focused on solving the benchmark, despite the lengths to which they went to achieve that objective, it said.

Sanchit Vir Gogia, chief analyst at Greyhound Research, said the package-registry proxy should concern enterprise security teams because it was a narrowly permitted exception inside an otherwise restricted environment.

“Every enterprise estate is built from exceptions of exactly that kind,” he said.

In this incident, OpenAI’s models were performing the intended — albeit by unintended means — but enterprises should take care that their own AI systems are kept on target.

Mahapatra said enterprises should treat AI agents as “high-risk non-human identities,” confining each one to an isolated environment where access is limited to the assigned task and credentials expire quickly.

“An acceptable blast radius means a compromised agent can affect only a single workflow, dataset, or application rather than providing a pathway into broader enterprise infrastructure,” Mahapatra said.

And Gogia warned that services allowed to reach package registries, update systems, or other external resources can become escape routes if they are not subjected to the same scrutiny as the agent itself.

Defenses enterprises need

Hugging Face said the intrusion resulted in unauthorized access to a limited number of internal datasets and several credentials used by its services. It found no evidence that public models, datasets or Spaces had been altered and said its published software packages and container images were not compromised.

The company closed the code-execution paths used to gain access and rebuilt the affected nodes. It also revoked exposed credentials and tightened the rules governing workloads admitted to its clusters.

Whether they are keeping their own AIs in or rogue Ais out, Gogia said enterprises should test whether their containment boundaries work, rather than relying on architecture diagrams or stated policies. Such tests should attempt to obtain credentials, cross trust boundaries and reach systems outside the agent’s assigned task.

Mahapatra said enterprises should assume that one containment layer may fail and ensure that an agent’s access cannot provide a route into unrelated applications or broader corporate infrastructure.

OpenAI said it is still investigating the incident with Hugging Face, and is imposing stricter configurations on its research environment while the vulnerabilities are being addressed, even if that means slowing down its research. It is also strengthening containment and monitoring around future evaluations.

Critical Meta IDOR Flaw Let Attackers Access Customer Support Cases

Wed, 22 Jul 2026 15:13:14 +0200

Meta has addressed a critical vulnerability involving broken access control that exposed sensitive customer support data across multiple services. This issue highlighted systemic weaknesses in authorization within their shared backend infrastructure. The flaw, categorized as an Insecure Direct Object Reference…

The post Critical Meta IDOR Flaw Let Attackers Access Customer Support Cases appeared first on IT Security News.

Samsung's Galaxy Watch 9 is a gentle evolution of its predecessor

Wed, 22 Jul 2026 15:05:34 +0200

Following on from last year's Galaxy Watch redesign, the Watch 9 doesn't fix what wasn't broken.

Critical Meta IDOR Flaw Let Attackers Access Customer Support Cases

Wed, 22 Jul 2026 14:53:08 +0200

The post Critical Meta IDOR Flaw Let Attackers Access Customer Support Cases appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.

Critical Meta IDOR Flaw Let Attackers Access Customer Support Cases

Wed, 22 Jul 2026 14:24:25 +0200

A critical broken access control vulnerability in Meta’s customer support infrastructure allowed attackers to read private support emails, chats, and case data belonging to other users, and even manipulate support workflows on their behalf. Independent researcher Rony K Roy discovered the flaw, which Meta patched by April 2026 after awarding a 78,000 USD bounty for […]

The post Critical Meta IDOR Flaw Let Attackers Access Customer Support Cases appeared first on Cyber Security News.

Ubuntus Snap-Sandbox wird zum Root-Einfallstor

Wed, 22 Jul 2026 14:15:37 +0200

Ubuntus Snap-Sandbox wird zum Root-Einfallstor

Daniel Richey Mi., 22.07.2026 - 14:00

Ein Sicherheitsteam von Qualys hat eine Schwachstelle in der Snap-Sandbox von Ubuntu aufgedeckt, mit der sich jeder lokale Nutzer binnen Sekunden zum Systemadministrator machen kann. Betroffen sind ausgerechnet jene Ubuntu-Versionen, die eigentlich als besonders gehärtet gelten.

News

Weiterlesen über Ubuntus Snap-Sandbox wird zum Root-Einfallstor

New Ubuntu Desktop Vulnerability Turns Local Access Into Root Control

Wed, 22 Jul 2026 13:59:20 +0200

A vulnerability in snap-confine lets an unprivileged user gain root access on affected Ubuntu Desktop systems. Install the latest snapd update to fix the issue. This article has been indexed from Hackread – Cybersecurity News, Data Breaches, AI and More…

The post New Ubuntu Desktop Vulnerability Turns Local Access Into Root Control appeared first on IT Security News.

[NEU] [hoch] snapd: Mehrere Schwachstellen

Wed, 22 Jul 2026 13:58:55 +0200

Ein lokaler Angreifer kann mehrere Schwachstellen in Ubuntu Linux und Canonical Snap ausnutzen, um Informationen offenzulegen, Root-Rechte zu erlangen und Sicherheitsmaßnahmen zu umgehen.

New Ubuntu Desktop Vulnerability Turns Local Access Into Root Control

Wed, 22 Jul 2026 13:39:21 +0200

A vulnerability in snap-confine lets an unprivileged user gain root access on affected Ubuntu Desktop systems. Install the latest snapd update to fix the issue.

Ubuntu snap-confine Vulnerability Enables Local Root Access

Wed, 22 Jul 2026 13:14:45 +0200

New Ubuntu snap-confine race condition lets local users escalate to root on default installs This article has been indexed from www.infosecurity-magazine.com Read the original article: Ubuntu snap-confine Vulnerability Enables Local Root Access

The post Ubuntu snap-confine Vulnerability Enables Local Root Access appeared first on IT Security News.

Ubuntu: Root-Lücke in snapd gefährdet unzählige Linux-Systeme

Wed, 22 Jul 2026 13:05:44 +0200

Zwei Race Conditions in snap-confine verleihen Angreifern unter Linux Root-Zugriff. Mehrere Ubuntu-Versionen sind per Default anfällig. (Sicherheitslücke, Ubuntu)

Ubuntu snap-confine Vulnerability Enables Local Root Access

Wed, 22 Jul 2026 13:00:29 +0200

New Ubuntu snap-confine race condition lets local users escalate to root on default installs

AI's Disruption as Cybersecurity's Economics Are Broken, Compounding Security Debt - Ben Gilliland - BSW #457

Wed, 22 Jul 2026 11:31:29 +0200

Ben Gilliland, author of the upcoming book Breaking the Compact, joins Business Security Weekly to discuss why business leaders need to be prepared for the upcoming AI disruption. The impact of AI, which has not fully materialized, goes far beyond security and job displacement. It will impact our economy, our privacy, and our way of life. The closest recent warning is the "China shock," the period of rapidly increasing import competition that followed China's integration into the global trading system. AI will dwarf that. Ben will discuss the human advantage and how we can prepare now.

In the leadership and communications segment, Cybersecurity's Economics Are Broken. Automation Alone Won't Fix It, The business case for burning down security debt: A practical approach for CISOs, The last human relationship in cybersecurity, and more!

Visit https://www.securityweekly.com/bsw for all the latest episodes!

Show Notes: https://securityweekly.com/bsw-457

AI's Disruption as Cybersecurity’s Economics Are Broken, Compounding Security Debt - BSW #457

Wed, 22 Jul 2026 11:21:46 +0200

Author: Security Weekly - A CRA Resource - Bewertung: 0x - Views:0

America has lived through technological and economic upheaval before. Farm workers moved to factories. Factory workers moved into services. New industries replaced old ones. Productivity rose. Living standards improved. But are we ready for the greatest disruption in American history?

Ben Gilliland, author of the upcoming book Breaking the Compact, joins Business Security Weekly to discuss why business leaders need to be prepared for the upcoming AI disruption. The impact of AI, which has not fully materialized, goes far beyond security and job displacement. It will impact our economy, our privacy, and our way of life. The closest recent warning is the "China shock," the period of rapidly increasing import competition that followed China's integration into the global trading system. AI will dwarf that. Ben will discuss the human advantage and how we can prepare now.

In the leadership and communications segment, Cybersecurity’s Economics Are Broken. Automation Alone Won’t Fix It, The business case for burning down security debt: A practical approach for CISOs, The last human relationship in cybersecurity, and more!

Visit https://www.securityweekly.com/bsw for all the latest episodes!

Show Notes: https://securityweekly.com/bsw-457

4 recs for CIOs to optimize AI budgets and improve sustainability

Wed, 22 Jul 2026 11:11:52 +0200

In the client-server era, the penalty for inefficient programming, such as unoptimized database calls, was largely confined to application responsiveness. Today, in the AI era, code, architectural, and platform inefficiencies are no longer just a performance issue, they’re a financial and environmental liability. Left unchecked, poor code cascades into soaring token costs and spikes data center power consumption, directly undermining both cloud budgets and corporate sustainability goals.

AI’s impact on sustainability

By 2029, IDC projects that the number of actively deployed AI agents will exceed 1 billion worldwide, which is 40 times more than in 2025. And these agents will perform 217 billion actions per day.

To deliver on this demand, AI data centers are being built out at an unprecedented rate, with Gartner forecasting that global spending on data centers over the next three years will increase 31.7% to surpass $650 billion, driven primarily by hyperscaler cloud providers building out AI foundations, and optimizing servers for heavy AI workloads.

All this presents a significant strain on the energy grid as well as environmental sustainability, including:

The power double-down: The International Energy Agency (IEA) projects that global data center electricity consumption will more than double from about 415 to 945 TWh by 2030, primarily fueled by energy-intensive accelerated computing for AI.
The inference premium: AI workloads are vastly more demanding than standard web activities. A gen AI query consumes roughly 10 times the electricity of a conventional keyword search, or roughly 2.9 watt-hours as opposed to 0.3 watt-hours.
Water consumption: Cooling these dense clusters is highly resource intensive. Global AI-related water demand is expected to reach 4.2 to 6.6 billion cubic meters by 2027.

The good news, however, is it’s not all out of the control of end user organizations and CIOs. Just as in the client-server era, through careful planning and execution, CIOs have the potential to significantly improve the performance, costs, and sustainability impacts of their AI application portfolio.

Here are four recommendations to maximize value as you look across your AI applications and infrastructure estate.

Revisit business objectives in light of AI

AI applications and platforms bring several new headaches for CIOs and CFOs in terms of FinOps. The variable nature of AI vendor billing due to variable monthly token costs is just one well-known example. To avoid unpleasant surprises, be sure to carefully review vendor contracts to decipher pricing models. Look for what’s included in seat-based license fees and what’s added as variable charges for agentic AI usage.

In addition, explore new metrics and KPIs such as intelligence per watt to help make sense of your return on AI. Just as miles per gallon helps us evaluate new car purchases, IPW can help to measure the computational efficiency of a system. It quantifies how much intelligence — typically measured in AI inferences, tokens processed, or model training iterations — a processor can deliver for every watt of electrical power it consumes.

According to Max Romanenko, chief engineering officer at relational database platform EDB, cost per query tells you almost nothing in an agentic world where autonomous systems are spinning up databases, pipelines, and queries around the clock. “The metric that matters is intelligence per watt, how much useful AI you get for every unit of energy you spend,” he says. “It isn’t just an environmental number, it’s also a performance indicator.”

With the measurements in place, you can then start to manage and optimize each layer in the AI stack from the infrastructure, or hyperscaler, layer to your own data and application layers.

It’s important to bear in mind that high token usage isn’t necessarily a bad thing. It depends on the net value delivered by each AI application and use case. Managing and optimizing the AI stack is important, but you’ll also want to measure the business value being delivered by each of these applications so you can measure your return.

Take a sovereign AI approach when evaluating hyperscalers

As you work with hyperscalers like Amazon, Google and Microsoft, it’s important to understand how they charge and how much, but also their environmental footprints. For example, by reading their sustainability reports, you can find out their annual water consumption across their global data centers and compare them with other providers.

In 2025, Amazon’s global data center operations used 0.12 liters of water per kilowatt-hour, which amounts to 2.5 billion gallons, or 5% of the annual water consumed by the metro Seattle area. The company has been able to operate more than seven times better than the industry average and have improved their water efficiency by 52% since 2021.

As demand for cloud computing and AI grows, water efficiency is another important metric for CIOs to monitor within hyperscaler ESG reports. While not at the same level of regulation as scope 2 and 3 greenhouse gas (GHG) emissions reporting, enterprises need to pay increasing attention to water use efficiency (WUE) with water scarcity becoming a growing risk for hyperscalers.

The key requisite at the infrastructure layer, though, is to ensure sovereign AI. This doesn’t mean you need to own everything, but you need control over your AI-driven operations when conditions change. With 71% of global executives stating that switching their primary AI vendor or model would be difficult if required today, it’s important to understand AI dependencies and be able to avoid vendor lock-in.

Control efficiency at the data layer

The AI energy conversation has fixated on models and GPUs, but every agent, model, and inference call runs on the data layer beneath them, and that’s the one place a CIO can actually move the numbers.

“You can’t control consumption at the model layer,” says Romanenko. “Agents consume what they consume. But you can control efficiency at the data layer, and for most enterprises that’s the only real lever they have. Optimize search, retrieval, and vector indexing where the work actually happens and you cut compute, cost, and carbon at the same time. Ignore it, and it’s like running the heat with every window open.”

Ann Dunkin, distinguished professor of the practice at Georgia Tech, adds that CIOs who bring models in house and run them in their own infrastructure, or in the cloud infrastructure of their choosing, can have more control over the sustainability of inference, as well as of their costs and how their data is used.

Fine tune the application layer

When balancing a mix of commercial AI packages and custom-built code, costs can quickly spiral due to inefficient design and orchestration, redundant APIs, and unoptimized model routing.

With inference calls costing approximately 10 times that of conventional web queries, for custom AI applications, it’s important to design them to only use probabilistic code where necessary. Since many custom applications utilize a combination of both probabilistic and deterministic code, this is exactly where software developers need to make smart choices in their designs.

Other techniques to fine tune the application layer include semantic caching, intelligent model routing, and internal AI capability registries. “CIOs can implement intelligent routing solutions to select the most cost-efficient model for every prompt,” says Dunkin. “The most flexible routing solutions can drop into a user’s existing environment and orchestrate the actions of the company’s existing models.”

For CIOs looking to maximize the business value of every AI application in their portfolio, these new considerations, including new metrics, tools and approaches from the infrastructure layer all the way up to the application layer, should be an essential part of the equation.

CVE-2026-16492 | umijs umi up to 4.6.63 GIT File Helper getFileGitIno.ts git.getFileCreateInfo os command injection (Issue 13345 / EUVD-2026-47596)

Wed, 22 Jul 2026 10:31:34 +0200

A vulnerability was found in umijs umi up to 4.6.63. It has been rated as critical. The affected element is the function git.getFileCreateInfo of the file packages/utils/src/getFileGitIno.ts of the component GIT File Helper. This manipulation causes os command injection. This vulnerability is tracked as CVE-2026-16492. The attack is only possible within the local network. Moreover, an exploit is present. Upgrading the affected component is advised.

Linus Torvalds just joined Microsoft’s AI-code club, defending its use in the Linux kernel

Wed, 22 Jul 2026 08:42:55 +0200

Torvalds called AI "90 percent marketing" in 2024, the same period Microsoft first revealed 20-30% of its code was AI-written. Now, Torvalds is defending it in the kernel, and Windows 11 is finally shipping fewer broken updates too.

The post Linus Torvalds just joined Microsoft’s AI-code club, defending its use in the Linux kernel appeared first on Windows Latest

Fake Camera Troubleshooting Commands Deliver RATs Across Windows and macOS

Wed, 22 Jul 2026 08:38:58 +0200

A North Korean-aligned threat actor is using fake job interviews and bogus camera troubleshooting prompts to infect Windows and macOS users with remote access trojans (RATs). The campaign, tracked as ClickFake Interview, targets cryptocurrency and Web3 professionals, including non-technical staff who may have access to corporate systems, investor information, or digital assets. Threat researchers attribute […]

The post Fake Camera Troubleshooting Commands Deliver RATs Across Windows and macOS appeared first on Cyber Security News.

Security: Mangelnde Prüfung von Zertifikaten in OpenSSH (Ubuntu)

Wed, 22 Jul 2026 06:30:59 +0200

Security: Ausführen beliebiger Kommandos in CUPS (Ubuntu)

Wed, 22 Jul 2026 06:30:57 +0200

Security: Zwei Probleme in AccountsService (Ubuntu)

Wed, 22 Jul 2026 06:30:56 +0200

Security: Mehrere Probleme in snapd (Ubuntu)

Wed, 22 Jul 2026 06:30:55 +0200

Security: Zwei Probleme in jbig2dec (Ubuntu)

Wed, 22 Jul 2026 06:30:54 +0200

Security: Mehrere Probleme in ImageMagick (Ubuntu)

Wed, 22 Jul 2026 06:30:52 +0200

Security: Zwei Probleme in AccountsService (Ubuntu)

Wed, 22 Jul 2026 06:30:47 +0200

[Testing Update] 2026-07-22 - Kernels, Mesa, VirtualBox, Gambas3, Qemu

Wed, 22 Jul 2026 06:01:34 +0200

Hello Manjaro user community, here we have another set of package updates. We are continuing our development of the upcoming release of ‘Bian-May’ which can be expected Mid or End of July. Development speed may be a little slower the upcoming weeks. However, still let us know any issues you may found thus far.

Current Promotions

Get the latest Gaming Laptop by Slimbook powered by Manjaro: Slimbook Manjaro III
Protect your personal data, keep yourself safe with Surfshark VPN: See current promotion

Notable Package Updates

Kernels
Mesa 26.1.4 / 26.1.5
VirtualBox 7.2.14
Gambas3 3.22.0
Qemu 11.0.2

Additional Info

Python 3.14 info (click for more details) Info about AUR packages (click for more details)

Get our latest daily developer images now from Github: Plasma, GNOME, XFCE. You can get the latest stable releases of Manjaro from CDN77.

Our current supported kernels

linux61 6.1.177
linux66 6.6.144
linux612 6.12.96
linux618 6.18.39
linux71 7.1.4
linux72 7.2.0-rc4
linux61-rt 6.1.167_rt62
linux66-rt 6.6.135_rt74
linux612-rt 6.12.89_rt18

Package Changes (7/22/26 05:45 CEST)

testing core x86_64: 17 new and 17 removed package(s)
testing extra x86_64: 762 new and 759 removed package(s)
testing multilib x86_64: 19 new and 19 removed package(s)

A list of all package changes can be found here.

Click to view the poll.

Check if your mirror has already synced:

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Ubuntu Snap-Confine Flaw Could Grant Unprivileged Users Full Root Access

Wed, 22 Jul 2026 05:45:05 +0200

submitted by /u/teheditor
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Die besten JavaScript-Editoren

Wed, 22 Jul 2026 05:40:30 +0200

width="1024" height="576" sizes="auto, (max-width: 1024px) 100vw, 1024px">

Diese Texteditoren bringen JavaScript-Developer weiter.

R.Narong | shutterstock.com

JavaScript-Entwicklern stehen viele gute Tools zur Auswahl. Beinahe zu viele, um den Überblick zu behalten. In diesem Artikel stellen wir Ihnen die besten Texteditoren vor, um:

mit JavaScript, HTML5 und CSS zu entwickeln, sowie
mit Markdown zu dokumentieren.

Sublime Text

Bei Sublime Text sind Sie genau richtig, wenn:

Sie einen flexiblen, leistungsstarken, erweiterbaren und ausgesprochen schnellen Code-Editor suchen.
es Ihnen nichts ausmacht, für Code Checking, Debugging und Deployment zu anderen Fenstern zu wechseln.

Zu den vielen weiteren, bemerkenswerten Stärken von Sublime Text gehören neben seiner Geschwindigkeit und dem Support für mehr als 70 Datei-Typen (darunter JavaScript, HTML und CSS) auch noch:

Instant-Navigation und Projekt-Switching,
die Option, eine Reihe von Änderungen per Mehrfachauswahl „auf einen Schlag“ auszuführen,
Support für mehrere Bildschirme und Split-Windows,
eine Plug-in-API auf Python-Basis, sowie
eine einheitliche, durchsuchbare Befehlspalette.

Sublime Text ist in vielerlei Hinsicht konfigurier- und anpassbar.

IDG

Für Programmierer, die von anderen Editoren kommen, hilfreich: Sublime Text unterstützt sowohl TextMate-Bundles (ohne Befehle) als auch die Vi/Vim-Emulation. Dabei lässt sich der Code-Editor in so gut wie jeder Hinsicht anpassen, egal, ob es um Farbschemata, Schriftarten, Tastenkombinationen, Snippets oder die Regeln für die Syntaxhervorhebung geht.

Rund um Sublime Text existiert ebenfalls eine aktive Community, die Packages und Plug-ins erstellt und pflegt. Mit Hilfe des Package Installers sind diverse zusätzliche Funktionen verfügbar.

Preis: unbegrenzte kostenlose Testversion; 65 Dollar pro Jahr und Seat für die Business-Version; 99 Dollar für eine Privatlizenz (Support für drei Jahre);
Plattformen: Windows, macOS und Linux;

Visual Studio Code

Visual Studio Code ist ein quelloffener, kostenloser Editor von Microsoft. Er enthält einen Mix aus Komponenten von Visual Studio und der Open-Source-Shell Atom Electron und bietet umfassenden Support für:

ASP.Net Core Development mit C# und
Node.js Development mit TypeScript und JavaScript.

Dank des TypeScript-Compilers und der Salsa-Engine bietet Visual Studio Code eine erstaunlich gute JavaScript-Codevervollständigung. Dazu sendet VS Code Ihren JavaScript-Code im Hintergrund an den TypeScript-Compiler, um Typen abzuleiten und eine Symboltabelle zu erstellen.

Visual Studio Code darf in einer Auflistung der besten JavaScript-Editoren nicht fehlen.

IDG

Während Sie eine Expression eingeben, ermöglicht dieselbe Symboltabelle es IntelliSense, diverse nützliche Pop-up-Optionen zur Codevervollständigung zur Verfügung zu stellen.

Der Support für Git ist umfangreich und simpel zu nutzen, der VS-Code-Debugger bietet eine hervorragende Erfahrung für Node.js und ASP.Net-Projekte. Visual Studio Code kann darüber hinaus auch mit externen Task-Runnern wie gulp und jake integriert werden und kann mit einem umfangreichen Ökosystem für Extensions aufwarten.

Preis: kostenlos;
Plattformen: Windows, macOS, Linux;

Brackets

Brackets ist ein kostenloser Open-Source-Editor, der ursprünglich von Adobe stammt. Das Ziel der Entwickler: Bessere Tools für JavaScript, HTML, CSS und verwandte, offene Webtechnologien bereitzustellen. Auch Brackets selbst ist in JavaScript, HTML und CSS geschrieben.

Zusätzlich zu den integrierten Funktionen verfügt Brackets über einen Extension Manager. Der ist auch nötig, denn die sind für diverse Programmiersprachen und Tools aus der Welt der Frontend-Entwickler verfügbar. In der Praxis ist Brackets zwar nicht so schnell wie Sublime Text (siehe weiter oben) oder TextMate (siehe weiter unten). Aber der Editor ist immer noch schnell genug. Brackets bietet umfassenden Support für:

JavaScript,
CSS,
HTML und
Node.js.

Darüber hinaus bietet Brackets weitere nützliche Funktionen wie beispielsweise:

CSS inline in Verbindung mit einer HTML-ID bearbeiten,
eine übersichtliche Benutzeroberfläche und
eine Live-Vorschau für Webseiten in Bearbeitung.

Brackets ist in erster Linie für die Webentwicklung konzipiert.

IDG

Auch beim Blick auf die automatische Vervollständigung von JavaScript-Code kann Brackets in der Praxis überzeugen: Es schließt automatisch sämtliche Klammern und stellt Dropdown-Menüs für Keywords, Variablen und Methoden zur Verfügung. Der JavaScript-Editor ist auch in der Lage, den Node.js-Debugger zu steuern und Node über ein Menüelement neu zu starten. Erweiterungen für zusätzliche Funktionen wie TypeScript– und JSX-Support, Bower- und Git-Integration lassen sich schnell und einfach hinzufügen.

Preis: kostenlos;
Plattformen: Windows, macOS, Linux;

Atom

Dieser kostenlose, quelloffene und “hack”-bare Programmier-Editor stammt aus dem Hause GitHub und lässt sich in die entsprechende Anwendung integrieren. Tausende von Packages und Themes stehen zur Verfügung, um Atom anzupassen. Der Quellcode von Atom wird selbstverständlich auch auf GitHub gehostet, ist in CoffeeScript geschrieben und in Node.js integriert.

Bei Atom handelt es sich um eine spezialisierte Variante von Chromium, die eher als Texteditor denn als Webbrowser konzipiert ist. Jedes Atom-Fenster ist im Wesentlichen eine lokal gerenderte Webseite.

Der Open-Source-Editor von GitHub kann in der Praxis überzeugen.

IDG

In der Praxis zeigt sich Atom performant. Der Editor ist sofort einsatzbereit und überzeugt unter anderem mit:

einem “Fuzzy-Finder”,
der Möglichkeit, schnell und projektübergreifend zu suchen,
Multi-Cursor- und Windows-Optionen,
Snippets und Code-Folding sowie
der Möglichkeit, TextMate-Grammatiken und -Themen zu importieren.

Atom ist insbesondere praktisch, um Repositories zu durchsuchen, die von GitHub geklont wurden, weil die GitHub-Applikation zu diesem Zweck ein Kontextmenüelement enthält.

Preis: kostenlos;
Plattformen: Windows, macOS, Linux;

Notepad++

Ein weiterer kostenloser Open-Source-Editor, der gut für JavaScript geeignet ist – allerdings nur auf Windows läuft. Notepad++ unterstützt außerdem etwa 50 weitere Programmier- und Markup-Sprachen. Neben seinem Multi-Document-Editing-Fenster bietet dieser Editor auch eine “Workspace Tree View”, sowie Registerkarten mit Funktionslisten und Dokumentenübersicht. In der Praxis bekommt man dabei nie das Gefühl, ausgebremst zu werden.

Mit Syntax-Farb- und -Folding-Optionen, leistungsstarken Editing-Funktionen sowie Paramter-Hints hat Notepad++ das Zeug zum primären JavaScript-Texteditor. Allerdings ist es bei weitem nicht der umfassendste JavaScript-Editor, wenn es darum geht:

Code zu generieren,
Refactoring anzustoßen oder
schnell durch große Projekte zu navigieren.

Nichtsdestotrotz ist Notepad++ ist auch heute noch nützlich – vor allem, wenn es schnell und kostenlos gehen muss.

Preis: kostenlos;
Plattform: Windows;

BBEdit

Mit BBEdit steht auch für macOS-Benutzer ein proprietärer JavaScript-Editor bereit. Er unterstützt etwa 35 Programmier- und Markup-Sprachen. Für viele weitere Sprachen ist Community-Support (von unterschiedlicher Qualität) über die BBEdit-Website verfügbar. Sowohl die kostenlose als auch die lizenzierte Version bieten Syntaxhervorhebung. Code-Vervollständigung für Funktions- und Variablennamen, einige Keywords und ctags bleiben den Nutzern der kostenpflichtigen Version vorbehalten. Diese lässt sich auch in die Versionskontrollsysteme Git, Perforce und Subversion integrieren.

BBEdit wurde bereits vor einiger Zeit grundlegend überarbeitet und überzeugt in der Praxis nun auch, wenn es größere Dateien verarbeiten muss. Auch was HTML und Markdown angeht, gibt es nichts zu beanstanden – das funktioniert sogar besser als JavaScript.

Preis: kostenlose aber eingeschränkte Version; 59,99 Dollar pro Benutzer für die Vollversion;
Plattform: macOS;

TextMate

Dieser (ebenfalls macOS-exklusive) Code-Editor war einmal der letzte Schrei, verlor dann stark an Bedeutung und wird inzwischen wieder aktiv weiterentwickelt. TextMate ist zwar keine IDE, lässt sich aber über Bundles, Snippets, Makros und sein Scoping-System mit Funktionen ausstatten, die selbst sprachspezifische Entwicklungsumgebungen vermissen lassen. Was die Geschwindigkeit angeht, ist TextMate fast so schnell wie Sublime Text.

Für eine IDE-ähnliche Funktionalität können Sie die Shell-Integration von TextMate verwenden, erwarten Sie aber kein Code Refactoring oder automatische Unit- und Regressionstests. Wenn Sie Grunt richtig einrichten, können Sie Ihre JavaScript-Tests auf dieser Ebene natürlich trotzdem automatisieren.

TextMate bietet diverse Bundles.

IDG

Auch Support für Markdown wird über ein integriertes Bundle bereitgestellt. Dieses enthält:

eine Preview-Funktion für Dokumente,
ein Markdown-„Cheatsheet“ sowie
diverse Tastenkombinationen, um Markup zu generieren.

Um TextMate mit Git und GitHub zu integrieren, eignet sich hingegen das Git-Bundle gut. In der Praxis erkennt TextMate vorhandene Git-Repositories und kann diese per Pull-Befehl aus dem Bundle von GitHub aktualisieren. Mit dem SQL-Bundle können Sie mit MySQL- und PostgreSQL-Datenbanken arbeiten.

Preis: kostenlos;
Plattform: macOS;

(fm)

Dieser Beitrag ist im Original bei unserer Schwesterpublikation Infoworld.com erschienen.

Ubuntu 26.10 will add Ubuntu Certified checking to Settings

Wed, 22 Jul 2026 04:56:27 +0200

Wondering if your laptop or desktop PC is Ubuntu Certified? Ubuntu 26.10 is adding a new way to check from the Settings app. A new row in Settings > System > About reads “check if this computer is Ubuntu Certified”. Clicking it opens a new page that will read the local/cached status from the com.ubuntu.hwctl service (the Canonical hardware API introduced in 2025). Ubuntu’s has had a command-line way to check certification for a while, using hwlib. In 26.10 (Stonking Stingray), you’ll be able to check it via Settings rather than through terminal command. The statuses which can be shown: There’s also an […]

You're reading Ubuntu 26.10 will add Ubuntu Certified checking to Settings, a blog post from OMG! Ubuntu. Do not reproduce elsewhere without permission.

How to use iOS 27 Recovery Mode before erasing or restoring your iPhone

Wed, 22 Jul 2026 04:56:12 +0200

Apple's iOS 27 recovery screen offers iPhone and iPad users a better first step when a device won't start, especially without a computer nearby. Here's how to open it, which repair option to try first, and when computer-based recovery is still safer.

iOS 27 Recovery Mode

A failed startup is one of those iPhone problems that immediately feels worse than it may actually be. The device can sit on the Apple logo, restart in a loop or refuse to finish booting after an update.

Before iOS 27, most users eventually ended up connecting the device to a computer and working through Recovery Mode. The iOS 27 and iPadOS 27 public betas add a recovery screen that puts several troubleshooting tools directly on the affected device.

The new recovery screen matters most for people who use an iPhone or iPad as their main computer. Recovery Assistant and Software Update may get the device running again without immediately erasing it, while Diagnostics Mode can show whether software recovery is worth attempting.

Continue Reading on AppleInsider | Discuss on our Forums

How to get old malicious package

Wed, 22 Jul 2026 04:03:56 +0200

I want to analyse npm packages that are malicious. How do I get those old packages? They are all taken down. And webarchive doesn’t have it.

submitted by /u/Tasty_Medium_5312
[link] [comments]

HPR4688: Downloading Podcasts with a Shell Script

Wed, 22 Jul 2026 02:06:46 +0200

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.

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.

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.

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.

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.

• 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

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.

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.

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.

• 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.

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.

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.

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

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.

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

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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..

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.

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 -

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

• 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.

• 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.

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.

12 */3 * * * /home/username/pathtofiles/podfetch.sh

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.

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.

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.

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.

On Ubuntu this is done using the Startup Applications Preferences GUI program, which should come already installed.

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.

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.

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.

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

# 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

# ======================================================================

# 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

# ======================================================================

# 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"

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

}

# ======================================================================

# 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 " $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 )

# 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

# Delay a reasonable length of time between multiple downloads.

if (( $PodCount > 1 )); then

sleep 3

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

# 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

# ======================================================================

# 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

# 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

# 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

# Increment the error counter.

count=$(( count + 1 ))

if (( count > 3 )); then

notify-send "Podfetch error: Excessive unknown errors, exiting."

exit 1

done

# ======================================================================

Provide feedback on this episode.

[OC] I fixed Davinci Resolve on Linux

Wed, 22 Jul 2026 01:07:43 +0200

Those who use davinci resolve on linux definitely know about the issues with AAC and H.264 codecs, drag 'n' drops, and some other bugs. I wonder why nobody has done this before and used bash to manually convert the media, considering how many people were affected by this problem

It works as wrapper that currently:

Automatically converts unsupported codecs on import
Fixes broken drag 'n' drops
Fixes pasting from clipboard

Now the linux experience with resolve should be nearly the same as on windows/mac. Enjoy!

https://github.com/fedsfarm/drwrap

Tested on hyprland with a studio version, feel free to open a PR if it doesn't work on your setup

submitted by /u/fedsfarm
[link] [comments]

Snapd - multiple vulnerabilities fixed

Wed, 22 Jul 2026 01:07:34 +0200

submitted by /u/anh0516
[link] [comments]

USN-8580-2: AccountsService vulnerabilities

Tue, 21 Jul 2026 23:47:38 +0200

USN-8580-1 fixed vulnerabilities in AccountsService. This update provides the corresponding fixes for Ubuntu 14.04 LTS, Ubuntu 16.04 LTS, Ubuntu 18.04 LTS, and Ubuntu 20.04 LTS. Original advisory details: It was discovered that the Ubuntu-specific SetLanguage patch to AccountsService incorrectly handled dropping privileges. A local attacker could use this issue to execute arbitrary commands as an administrator. (CVE-2026-61897) It was discovered that the Ubuntu-specific SetLanguage helpers for AccountsService incorrectly handled parsing configuration files. A local attacker could use this issue to execute arbitrary commands. (CVE-2026-61898)

Security: Mehrere Probleme in Linux (Ubuntu)

Tue, 21 Jul 2026 22:53:39 +0200

Security: Mehrere Probleme in Linux (Ubuntu)

Tue, 21 Jul 2026 22:53:38 +0200

Security: Mehrere Probleme in Linux (Ubuntu)

Tue, 21 Jul 2026 22:53:36 +0200

Canonical Launches Enterprise Store For Ubuntu Pro

Tue, 21 Jul 2026 21:31:39 +0200

BrianFagioli writes: Canonical has launched the Enterprise Store as part of Ubuntu Pro, giving organizations a way to manage Ubuntu software distribution in restricted networks, behind firewalls, and in air gapped environments. The on premises proxy sits between devices and Canonical software stores, allowing companies to cache downloads, control software revisions, and manage snaps and charms without requiring every system to connect directly to the internet. The Enterprise Store is designed for organizations with strict security requirements, including regulated industries and environments where predictable software updates and audit controls are important.

Read more of this story at Slashdot.

USN-8581-1: libarchive vulnerabilities

Tue, 21 Jul 2026 21:31:34 +0200

It was discovered that libarchive did not properly manage memory when unpacking certain RAR5 archives, leading to a double free. An attacker could possibly use this issue to cause a denial of service. (CVE-2026-14164) It was discovered that libarchive did not properly validate certain tar archives, leading to a buffer overflow. A remote attacker could possibly use this issue to cause a denial of service or execute arbitrary code. This issue only affected Ubuntu 26.04 LTS. (CVE-2026-15028) It was discovered that libarchive did not properly validate certain malformed ACL entries. An attacker could possibly use this issue to cause a denial of service. (CVE-2026-5745)

USN-8582-1: jbig2dec vulnerabilities

Tue, 21 Jul 2026 21:01:31 +0200

Zeng Yunxiang and Song Jiaxuan discovered that jbig2dec had an out-of-bounds read vulnerability in its command-line tool. An attacker could possibly use this issue to cause jbig2dec to crash, resulting in a denial of service. This issue only affected Ubuntu 22.04 LTS. (CVE-2023-46361) It was discovered that jbig2dec had an integer overflow in the jbig2_arith_iaid_ctx_new() function. An attacker could possibly use this issue to cause a denial of service. (CVE-2026-38076)

USN-8579-1: snapd vulnerabilities

Tue, 21 Jul 2026 20:17:11 +0200

James Henstridge discovered that snapd's default apparmor template did not restrict access to systemd-userdbd varlink interface. A local attacker could possibly use this issue to obtain sensitive information. (CVE-2024-5300) Qualys discovered that snap-confine can be tricked to create attacker-controlled files at certain privileged locations. A local attacker could possibly use this issue to bypass intended restrictions and escalate privileges to root. This issue only affected Ubuntu 22.04 LTS, Ubuntu 24.04 LTS, and Ubuntu 26.04 LTS. (CVE-2026-8933) Zygmunt Krynicki discovered that snapd's default seccomp template did not restrict the creation of executables with the set-user-ID attribute. A local attacker could possibly use this issue to create and execute setuid binaries. (CVE-2026-15226)

USN-8580-1: AccountsService vulnerabilities

Tue, 21 Jul 2026 20:17:06 +0200

It was discovered that the Ubuntu-specific SetLanguage patch to AccountsService incorrectly handled dropping privileges. A local attacker could use this issue to execute arbitrary commands as an administrator. (CVE-2026-61897) It was discovered that the Ubuntu-specific SetLanguage helpers for AccountsService incorrectly handled parsing configuration files. A local attacker could use this issue to execute arbitrary commands. (CVE-2026-61898)

What Version of Windows Do I Have? 3 Ways to Check

Tue, 21 Jul 2026 20:03:22 +0200

Ever wondered exactly which version of Windows is running on your computer? Knowing how to check your Windows version is crucial for troubleshooting, software compatibility, and ensuring you have the latest security updates. This article provides a simple guide on how to check what version of Windows you have, so you can stay informed and […]

The post What Version of Windows Do I Have? 3 Ways to Check appeared first on AddictiveTips.

Siemens SIDIS Secured SmartPlug

Tue, 21 Jul 2026 19:45:23 +0200

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

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

Hackers Abuse GitHub Actions to Backdoor AsyncAPI npm Packages With Miasma RAT

Tue, 21 Jul 2026 17:57:32 +0200

A supply chain attack has pushed Miasma malware into trusted AsyncAPI npm packages, putting developer systems and automated build environments at risk. Attackers used a compromised release process to publish malicious code through the project’s legitimate npm namespace. The affected packages had a combined reach of about 2.9 million weekly downloads, although download figures do […]

The post Hackers Abuse GitHub Actions to Backdoor AsyncAPI npm Packages With Miasma RAT appeared first on Cyber Security News.

USN-8577-1: OpenSSH vulnerability

Tue, 21 Jul 2026 17:16:58 +0200

USN-8222-1 fixed a vulnerability in OpenSSH. This update provides the corresponding fix for Ubuntu 16.04 LTS. Original advisory details: Vladimir Tokarev discovered that OpenSSH incorrectly handled certificates with the principal name containing a comma character when using user-trusted CA keys in authorized_keys and an authorized_keys principals="" option that lists more than one principal. This could result in inappropriate principal matching, contrary to expectations. (CVE-2026-35414)

This Android 17 setting logs suspicious activity on your phone for troubleshooting - turn it on ASAP

Tue, 21 Jul 2026 15:52:43 +0200

When something suspicious happens on your phone, it helps to have the means to track down what occurred. Android 17 now offers such a feature: Intrusion Logging.

Security updates for Tuesday

Tue, 21 Jul 2026 15:27:30 +0200

Security updates have been issued by AlmaLinux (capstone, fence-agents, gimp, glib2, hplip, httpd, jackson-annotations, jackson-core, jackson-databind, jackson-jaxrs-providers, and jackson-modules-base, libtiff, maven:3.8, pacemaker, python3.14, and webkit2gtk3), Debian (samba), Fedora (c-ares, dnsx, freerdp, gpsd, libreswan, libseccomp, libtiff, mingw-python-idna, mingw-python-pip, openssh, python-pillow, wget1, and wireshark), Mageia (golang, graphicsmagick, haveged, libssh2, nginx, nilfs-utils, perl-CGI-Session, perl-Imager, perl-JavaScript-Minifier-XS, php, php8.4, php8.5, python-nltk, sqlite3, and xmlstarlet), Oracle (.NET 10.0, .NET 9.0, container-tools:ol8, firefox, giflib, glibc, go-fdo-client, go-fdo-server, golang-github-openprinting-ipp-usb, grafana, grafana-pcp, hplip, httpd, image-builder, kernel, libtiff, mod_http2, pacemaker, perl-DBI:1.641, perl-HTTP-Daemon, php:8.2, python-markdown, ruby4.0, systemd, and thunderbird), Red Hat (buildah, container-tools:rhel8, dracut, golang-github-openprinting-ipp-usb, libtiff, osbuild-composer, python-urllib3, python3.12-urllib3, python3.14-urllib3, and runc), SUSE (389-ds, chromedriver, gstreamer-plugins-bad, libreoffice, libsuricata8_0_6, podman, python311, and sssd), and Ubuntu (apache2, freerdp3, freetype, libde265, libxfont, linux, linux-gcp, linux-gcp-6.8, linux-gke, linux-gkeop, linux-realtime, linux-realtime-6.8, linux, linux-gcp, linux-gcp-fips, linux-gke, linux-gkeop, linux-hwe-5.15, linux-kvm, linux-lowlatency, linux-lowlatency-hwe-5.15, linux-realtime, linux-xilinx-zynqmp, linux, linux-gcp, linux-gke, linux-realtime, linux-gcp-6.17, linux-realtime-6.17, linux-gcp-fips, linux-hwe-7.0, linux-nvidia-tegra-5.15, linux-oem-7.0, nginx, php8.1, php8.3, php8.5, rlottie, sqlite3, and wget).

N-day is Becoming N-Hour. Patching Faster Won't Save You.

Tue, 21 Jul 2026 14:37:53 +0200

Every patch is a confession. The moment a vendor ships a security fix, the diff between the old code and the new code tells anyone watching exactly what was broken and where. Turn that diff back into a working exploit, and you can hit every system that hasn't updated yet. This is N-day exploitation, and it's always been a race: the vendor patches, the clock starts, and defenders try to deploy

N-day is Becoming N-Hour. Patching Faster Won’t Save You.

Tue, 21 Jul 2026 14:37:47 +0200

The post N-day is Becoming N-Hour. Patching Faster Won’t Save You. appeared first on IT Security News.

How AI may drive union-resistant tech workers to the bargaining table

Tue, 21 Jul 2026 13:03:55 +0200

Tech workers are increasingly unionizing, trading Silicon Valley’s myth of exceptionalism for collective bargaining to contest the corporate deployment of artificial intelligence

For decades, the technology industry was a fortress that labor unions couldn’t breach. Tech workers already had cushy compensation packages, dream benefits like unlimited vacation and free lunch, and a flat corporate hierarchy that made engineers feel as powerful as their bosses, all of whom dressed down in sneakers and hoodies. So why unionize?

Now, that fortress is cracking from the inside. Unions have become increasingly popular for tech employees. After months of mass layoffs tied to artificial intelligence and mounting anxieties about how it’s being deployed, some tech workers say they’ve been saddled with higher workloads while facing the threat of job loss caused by the very products they’re building. Workers from Google DeepMind and Meta in the UK are also objecting to how their companies’ AI products are being used, such as for military purposes or to monitor employee productivity. Those same workers are now attempting to unionize.

Meta Paid $78,000 Bounty for Vulnerability Exposing Customer Support Data

Tue, 21 Jul 2026 12:38:48 +0200

A security researcher discovered a broken access control vulnerability in Meta’s support infrastructure.

The post Meta Paid $78,000 Bounty for Vulnerability Exposing Customer Support Data appeared first on SecurityWeek.

Meta Paid $78,000 Bounty for Vulnerability Exposing Customer Support Data

Tue, 21 Jul 2026 12:38:33 +0200

A security researcher discovered a broken access control vulnerability in Meta’s support infrastructure. The post Meta Paid $78,000 Bounty for Vulnerability Exposing Customer Support Data appeared first on SecurityWeek. This article has been indexed from SecurityWeek Read the original article:…

The post Meta Paid $78,000 Bounty for Vulnerability Exposing Customer Support Data appeared first on IT Security News.

IT leaders confident but cooked when it comes to rogue AI agents

Tue, 21 Jul 2026 12:09:38 +0200

A large majority of IT and security leaders are confident in their teams’ ability to detect when an AI agent has gone rogue, but few are able to take quick action to mitigate the fallout when an agent exceeds its intended scope.

Nine in 10 IT and security leaders surveyed by IT observability vendor WanAware believe in their capabilities to find malfunctioning agents, but only 26% acknowledge that they can trace the downstream impact within minutes. Over 45% say it would take hours to understand the full impact of an agent incident.

That delay between detection and mitigation can be a huge problem, says Jeffrey Collins, WanAware’s CEO. The survey suggests IT leaders are overconfident about their ability to control agents, he adds.

And here, timing is critical, Collins says, given that malfunctioning agents can lead to major outages and data breaches — damage that can start within seconds, he notes.

“That’s truly the gap here. It’s not if you understand it; it’s when you understand it,” Collins says. “If your average time to just knowing about an event is measured in days, weeks, or months, you have a serious problem right now.”

While it’s not always easy to tell whether an agent has gone beyond its scope, it’s even harder to tell the downstream impacts, he adds.

“What’s been affected if one machine was compromised, either from our own AI usage as a customer or from someone else’s, what else could happen, and how can we understand that quickly?” Collins asks.

Machine speed

Kevin Paige, field CISO at IT solutions provider C1, agrees that time is of the essence when an AI agent malfunctions.

“The problem is that agents move at machine speed, so the gap between an agent malfunctioning and you catching it isn’t measured in minutes, it’s measured in actions,” he says. “Every minute it’s wrong it’s still working, and because it’s usually running on borrowed standing credentials, the damage spreads across everything those credentials can reach before anyone can pin it on the agent.”

In many cases, organizations with rogue agents don’t find out from their own detection tools, but from customers, auditors, or broken downstream systems, he says.

“That’s the worst way to learn,” Paige adds. “The longer-term cost is trust, because one incident like that and the business pulls back on agents entirely, so failing to contain a malfunction fast is also what stalls adoption.”

The problem with detecting rogue agents is that many organizations have built in visibility but not control, he says.

“When an agent goes out of scope it’s rarely dramatic,” Paige adds. “Usually, it’s using access it legitimately has, for a purpose nobody signed off on, which means your access model doesn’t even flag it. So you find out after the fact, and you fix it by hand.”

IT teams can stop agents that exceed their scope, but only if controls were built in before the agent was deployed, adds Chris Camacho, COO of Abstract Security.

“Every agent should have its own identity, narrowly scoped permissions, and a complete audit trail,” he says. “Just as important, organizations need the ability to immediately revoke that identity or suspend the agent without manually hunting through multiple consoles during an incident.”

Part of the challenge is that an agent’s activity is spread across identities, cloud platforms, SaaS applications, APIs, and security tools that were not designed to tell a complete story, Camacho says. Security teams often have to piece together events from multiple basic questions such as, what did the agent access, and what changed?

“Most organizations know where they’ve deployed AI agents,” he adds. “That’s very different from knowing exactly what an agent did after something unexpected happens.”

The organizations that most successfully manage agents won’t be the ones that deploy the most, he says. “They’ll be the ones that can explain every action an agent took, prove it operated within policy, and stop it immediately when it doesn’t,” he adds.

Confidence isn’t reality

The survey’s results make sense to Joe Brinkley, director of offensive security research and community at pentest firm Cobalt. The high confidence in detecting malfunctions is compliance paperwork, whereas the minority of respondents who can detect problems quickly is the reality on the ground, he says.

“Tracing agent impact fast is brutal,” Brinkley says. “These systems do not run on fixed code paths. They use nondeterministic reasoning across a web of different APIs. Traditional logs only catch isolated events. They completely miss the full execution chain.”

By the time an anomaly alert hits, an agent has already executed multiple downstream actions, he adds.

In some cases, agent malfunctions are related to data flow vulnerabilities, such as when a prompt injection from an untrusted input such as a malicious email overwrites the system instructions, he says.

“We need to be clear about the actual technology; the AI is not waking up angry,” Brinkley says. “The agent suddenly thinks its official job is to dump your database. It spends tokens as fast as possible to do that.”

Agents are also vulnerable to loop failures, when they hit API errors and try to self-correct, he adds.

“It hits that same broken endpoint 10,000 times in two minutes,” he says. “It drains your budget and causes a self-inflicted denial of service. It is an automated wrecking ball moving faster than your monitoring can log it.”

Brinkley recommends that IT leaders put “hard kill” switches at the API layer to stop agents going out of scope.

“You can stop it, but soft guardrails are useless,” he says. “Do not try to patch the prompt or filter the text. You have to treat the agent like a compromised user account. Pull the OAuth tokens and kill the access immediately.”

Set in a dark steampunk universe, Veil of Ashes is an RTS with some monstrous tanks

Tue, 21 Jul 2026 11:58:08 +0200

Veil of Ashes looks a little bit like Iron Harvest blended with Company of Heroes and Broken Arrow all in one set in a dark steampunk universe.

Read the full article on GamingOnLinux.

iOS 27 Beta: Everything You Need to Know About Beta 4

Tue, 21 Jul 2026 10:39:52 +0200

Apple has released iOS 27 beta 4 for registered developers, continuing its testing cycle before the final update arrives later in 2026. The latest build focuses on interface refinements, Siri changes, AirPods controls, system indexing, accessibility features, and several fixes to Liquid Glass elements. iOS 27 beta 4 carries build number 24A5390f and arrived on July 20, 2026, alongside new beta versions of iPadOS 27, macOS 27, watchOS 27, tvOS 27, and visionOS 27. The update follows the first iOS 27 public beta, which became available on July 13. Developer beta 4 is newer than the current public beta, although Apple often releases an updated public build after completing additional testing. iOS 27 Beta 4 at a Glance DetailInformationSoftware versioniOS 27 developer beta 4Build number24A5390fRelease dateJuly 20, 2026AvailabilityRegistered developersPublic betaAvailable, but currently on an earlier buildFinal releaseExpected later in 2026Main focusSiri, Liquid Glass, AirPods controls, accessibility, interface fixes What Is New in iOS 27 Beta 4? New Siri Splash Screen Siri receives a refreshed splash screen in beta 4, giving Apple’s redesigned assistant a clearer visual introduction when users open it for the first time. The interface follows the wider Siri AI design used throughout iOS 27, with brighter visual effects, updated text placement, and stronger links to Apple Intelligence features. Apple says Siri AI will initially launch in English on supported Apple Intelligence devices later this year. Beta 4 also updates parts of the Siri voice-selection interface. Regional accents and voice choices now appear in a more visual layout, while supported devices display additional personalisation options. Dark Widgets Have Better Contrast Apple has adjusted dark widgets to make text, icons, and controls easier to see. Earlier iOS 27 builds sometimes placed dark text or low-contrast elements over transparent widget backgrounds, especially when users selected tinted or dark Home Screen styles. Beta 4 increases contrast without removing the layered Liquid Glass appearance. The change improves readability on bright wallpapers and on displays with reduced brightness. One-Tap Paste Gets a Visual Refresh The One-Tap Paste interface now has an updated appearance when users paste photos or links. The preview card follows the rounded Liquid Glass design more closely and provides a clearer indication of the content that will be inserted. This change affects situations where an app requests access to copied content, including images, website links, and other supported clipboard data. Notification Center Wallpaper Cutout Removed Apple has removed the wallpaper cutout effect that appeared when users swiped down to open Notification Center. In beta 3, the main subject of certain wallpapers remained visually separated from the background during the swipe animation. Beta 4 returns to a more traditional transition, which reduces visual movement and avoids occasional clipping around people, pets, and objects. The smoother wallpaper animation introduced earlier remains available, although the floating cutout effect no longer appears. Lock Screen Shortcut Appearance Restored Beta 4 reverses an earlier reduction in the Liquid Glass appearance of Lock Screen shortcuts while Light Mode is active. The flashlight and camera buttons once again use a stronger transparent glass effect, with brighter highlights and more visible depth. Apple continues to adjust these controls because readability changes significantly depending on the wallpaper colour and display mode. Blur Returns to App Library and Today View Background blur has returned to the App Library and Today View after being reduced or removed in earlier beta builds. The restored blur separates icons and widgets from the wallpaper while preserving some background colour. This makes app names, folders, search controls, and widget text easier to read without replacing the transparent design with a fully solid background. Volume Slider Is More Transparent The system volume slider now uses a more transparent Liquid Glass design. Users can see more of the underlying content while adjusting media volume through Control Center. Apple has also refined the slider edges, fill animation, and background layer so the control matches other iOS 27 interface elements. AirPods Controls Get Liquid Glass Sliders AirPods controls in Control Center now use redesigned Liquid Glass sliders. The controls appear when compatible AirPods are connected and provide access to supported audio modes and settings. The layout uses clearer labels, transparent slider tracks, and larger touch areas, making the controls easier to adjust without opening the Settings app. Adaptive Audio Slider Comes to Control Center AirPods users can now access the Adaptive Audio slider directly from Control Center. This setting lets users adjust how strongly Adaptive Audio balances environmental sound with active noise control. The slider provides more control than a simple on-or-off switch, allowing users to choose how much outside sound they want to hear. Available options still depend on the connected AirPods model and installed firmware. Apple also plans to bring Custom EQ controls to supported AirPods, allowing users to adjust low, mid, and high frequencies. System Indexing Returns System indexing has returned in beta 4 after being limited or unavailable for some users in earlier builds. After installation, an iPhone can temporarily use more battery power and become warmer while it rebuilds search indexes for apps, messages, photos, files, and other content. Search results and Siri suggestions can remain incomplete until this process finishes. Users should leave the iPhone connected to power and Wi-Fi for several hours after updating, especially when the device contains a large photo library or many installed apps. Wheelchair Control Renamed to Look to Drive Apple has renamed the upcoming Wheelchair Control accessibility feature to “Look to Drive.” The feature uses eye movement and supported hardware to help users control compatible powered wheelchairs. The new name describes the interaction more clearly and separates it from other wheelchair-related accessibility settings. Because the feature remains under development, its name, supported devices, and availability can change before the public release. Other Changes Found in Beta 4 The latest beta also includes several smaller additions and adjustments: Photos includes an option that slightly enlarges near-full-screen images so they fill the display. Siri settings provide more control over text-preview length. An accessibility option can keep spoken Siri requests visible as text. Camera settings include support for selecting ProRes Log 2 on compatible models. Wi-Fi Assist can be managed more precisely for saved networks. Automatic Apple TV downloads can save upcoming episodes and remove watched downloads. Internal files continue to reveal unfinished features across Apple’s operating systems. An internal README file also appeared inside the tvOS 27 beta 4 Podcasts app package. This appears to be a development file that Apple accidentally included and does not provide a user-facing feature. iOS 27 Supported iPhones iOS 27 supports the following iPhone families: iPhone generationSupported modelsiPhone 17iPhone 17, 17e, Air, 17 Pro, 17 Pro MaxiPhone 16iPhone 16, 16 Plus, 16e, 16 Pro, 16 Pro MaxiPhone 15iPhone 15, 15 Plus, 15 Pro, 15 Pro MaxiPhone 14iPhone 14, 14 Plus, 14 Pro, 14 Pro MaxiPhone 13iPhone 13, 13 mini, 13 Pro, 13 Pro MaxiPhone 12iPhone 12, 12 mini, 12 Pro, 12 Pro MaxiPhone 11iPhone 11, 11 Pro, 11 Pro MaxiPhone SESecond generation and later Apple confirms that iOS 27 supports the iPhone 11 series and newer models, along with the second-generation iPhone SE and later. Some Siri AI and Apple Intelligence features require newer hardware. Apple Intelligence support includes the iPhone 15 Pro models, every iPhone 16 model, and later supported devices. How to Install iOS 27 Beta 4 Registered developers can install the update through the Settings app: Back up the iPhone using iCloud or a computer. Open Settings. Select General. Tap Software Update. Open Beta Updates. Select iOS 27 Developer Beta. Return to the update screen. Tap Update Now. The Apple Account signed in on the iPhone must have access to the developer beta channel. Public beta users should remain on the iOS 27 Public Beta option unless they specifically need developer builds for testing. Developer releases can contain unfinished features, app compatibility problems, faster battery drain, unexpected restarts, and broken system functions. Should You Install iOS 27 Beta 4? Beta 4 brings useful visual corrections and restores several effects that Apple changed during earlier testing. Siri, widgets, Notification Center, App Library, AirPods controls, and system search all receive noticeable attention. However, this remains pre-release software. Users who depend on their iPhone for banking, work authentication, travel, health devices, or other important tasks should wait for a later public beta or the final release. Users already running an iOS 27 developer beta should install beta 4 because it includes the latest system fixes and testing changes. After updating, allow time for indexing to complete before judging battery life, heat, search performance, or overall stability.

Security: Mehrere Probleme in Linux (Ubuntu)

Tue, 21 Jul 2026 07:17:20 +0200

Security: Zwei Probleme in PHP (Ubuntu)

Tue, 21 Jul 2026 07:17:19 +0200