Agentic ProbLLMs: Exploiting AI Computer-Use and Coding Agents
Johann Rehberger
39th Chaos Communication Congress (39C3): Power Cycles · Day 2 · Saal Zero
In this insightful talk from 39C3, Johann Rehberger, a security researcher focused on machine learning and AI, delves into the critical and rapidly evolving threat landscape surrounding **agentic AI systems**, specifically those designed for computer use and coding. The presentation, titled "Agentic ProbLLMs: Exploiting AI Computer-Use and Coding Agents," meticulously details various methods for compromising these sophisticated AI entities, ranging from tricking them into downloading malware to enabling self-replication of malicious code across developer environments. Rehberger's research underscores a fundamental paradigm shift in cybersecurity, where AI models, despite their immense utility, introduce novel attack vectors that demand a re-evaluation of traditional security controls.