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🧠 AI🔴 BearishImportance 7/10Actionable
Supply-Chain Poisoning Attacks Against LLM Coding Agent Skill Ecosystems
arXiv – CS AI|Yubin Qu, Yi Liu, Tongcheng Geng, Gelei Deng, Yuekang Li, Leo Yu Zhang, Ying Zhang, Lei Ma|
🤖AI Summary
Researchers discovered Document-Driven Implicit Payload Execution (DDIPE), a supply-chain attack method that embeds malicious code in LLM coding agent skill documentation. The attack achieves 11.6% to 33.5% bypass rates across multiple frameworks, with 2.5% evading both detection and security alignment measures.
Key Takeaways
- →DDIPE attacks hide malicious logic in code examples and configuration templates within LLM agent skill documentation.
- →The attack method achieved bypass rates of 11.6% to 33.5% across four frameworks and five AI models.
- →2.5% of adversarial skills evaded both static analysis detection and alignment safeguards.
- →Researchers generated 1,070 adversarial skills covering 15 MITRE ATTACK categories to test vulnerabilities.
- →Responsible disclosure resulted in four confirmed vulnerabilities and two security fixes.
#llm-security#supply-chain-attacks#ai-agents#coding-agents#ddipe#cybersecurity#vulnerabilities#mitre-attack
Read Original →via arXiv – CS AI
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