EILMELDUNGEN LIVE
🔧 AI Nachrichten ChatGPT Ads Arrive in Europe, Starting With the Free Tier(02.09.2026 um 01:22 Uhr)
🔧 ProgrammierungThe Security Fix That Would Have Silently Broken My Feature(02.09.2026 um 01:24 Uhr)
🔧 ProgrammierungFacebook temp email en revisiones de riesgo(02.09.2026 um 01:24 Uhr)
🕵️ SicherheitslückenO prompt de AppSec que eu criei achou 1 gap em 174 rotas.(02.09.2026 um 01:29 Uhr)
🔧 ProgrammierungEKS vs ECS vs Fargate: Choosing AWS Container Compute(02.09.2026 um 01:53 Uhr)
🔧 AI Nachrichten ChatGPT Ads Arrive in Europe, Starting With the Free Tier(02.09.2026 um 01:22 Uhr)
🔧 ProgrammierungThe Security Fix That Would Have Silently Broken My Feature(02.09.2026 um 01:24 Uhr)
🔧 ProgrammierungFacebook temp email en revisiones de riesgo(02.09.2026 um 01:24 Uhr)
🕵️ SicherheitslückenO prompt de AppSec que eu criei achou 1 gap em 174 rotas.(02.09.2026 um 01:29 Uhr)
🔧 ProgrammierungEKS vs ECS vs Fargate: Choosing AWS Container Compute(02.09.2026 um 01:53 Uhr)

29 🕛 kürzlich 2 Min Lesezeit CVE-RADAR
0

Black Hat Asia 2026 | Bad Vibes - Pwning Coding Agents 70 Times With The Same Bugs

↗ Quelle (YouTube · Black Hat)
🗣️ Stimme:
📺
YouTube · Black Hat
1.9k YouTube-Aufrufe
It seems like everyone with access to a keyboard is vibe-coding these days, with an increasingly significant amount of code being written through the use of AI Coding Agents. These tools, whether specialized IDEs, IDE extensions, or CLI utilities, come with varying features, interfaces and architectures. However, they all suffer from the same fundamental, severe vulnerabilities and flawed design choices, which we will expose.
Our research has uncovered 70+ serious vulnerabilities across a broad array of major platforms, including GitHub Copilot, Google Gemini CLI and Antigravity, OpenAI Codex, Claude Code, Amazon Q and Kiro, Cursor, and more. These vulnerabilities demonstrate that the industry is collectively making similar, fundamental mistakes in securing these agentic applications, which means that not only coding agents may suffer from similar problems.

In this session, we will first map out what an attacker needs to achieve in order to truly compromise an AI agent. We will present a variety of issues which lead to severe consequences, making coding agents perform actions significantly more devious than just writing terrible code. Come vibe with us as we demonstrate these attacks across multiple products, showing how to turn a successful prompt injection into a devastating machine compromise using various command-line tricks, creative path manipulation techniques, and turning sandbox features against themselves to bypass established defenses.

By detailing the common, critical mistakes shared across these vendors, we aim to provide developers and architects with actionable takeaways to avoid these deep-seated vulnerabilities and better secure the future of AI development tools.

Philip Tsukerman | Vulnerability Research Team Lead, Cyberark
Nil Ashkenazi | Cyber Security Researcher, Cyberark
Alon Zahavi | Senior Security Researcher, Cyberark

https://blackhat.com/asia-26/briefings/schedule/?#bad-vibes---pwning-coding-agents-70-times-with-the-same-bugs-50048
Vollständiger Original-Bericht
Ausführliche Details, Code-Beispiele & Hersteller-Stellungnahme auf youtube.com.
↗ Original-Artikel auf youtube.com lesen
Wie bewertest du diesen Beitrag?
1 Klick Feedback
91 Fachleser & IT-Security Experten haben diesen Report heute geteilt
Teilen mit Netzwerk & Team:

Community-Analysen & Experten-Meinungen 0

Verfasse deine eigene Analyse, teile Workarounds oder diskutiere diesen Vorfall im Blog.
Noch keine Community-Analyse verfasst. Markiere einen Textabschnitt oder klicke oben auf Eigene Analyse verfassen“!
Community Pulse: Relevanz-Einschätzung
1 Klick Experten-Votum
🔴 Akute Relevanz 49%
🟡 In Evaluierung 25%
🟢 Keine Auswirkung 14%
Spannende Innovation 12%
Verwandte Story-Cluster & Quellen (Vektor-KI)
Port 8095 Engine
1 Quelle
Stuggleing to get off the ground with LeetCode, I've learnt all the algorithms the data structures, I'm able to recognise the patterns but still stuggeling to solve problems on my own, they say practice makes perfect (and it's just day 3) so I'll keep go
1 Quelle
Building a Client-Side MTG Proxy Generator with React and TypeScript
1 Quelle
Generic methods ใน Go 1.27: ฟีเจอร์ที่เคยถูกบอกว่า "ไม่มีทาง" แต่ community ผลักดันจนสำเร็จ