Reading up on OWASP
3 deep · digging since feb 10
- AI Agent Goal Hijack: How Attackers Turn an Agent's Own Tools Against It
AI agent goal hijack lets attackers inject malicious instructions via retrieved content, turning agents’ own tools against them, as shown by real exploits like the Grok Bankr wallet drain.
- the problem isn’t OpenClaw. it’s the architecture.
The article argues that the security risks from AI agent frameworks like OpenClaw are inherent to the architecture of autonomous tool use and marketplaces, not just a single platform.
- GitHub - KeygraphHQ/shannon: Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark.
Shannon is an autonomous AI pentester that analyzes source code and executes real exploits to prove vulnerabilities, achieving a 96.15% success rate on the XBOW benchmark.