Recent research reveals a critical supply-chain vulnerability in Large Language Model (LLM) coding agents, where malicious third-party skills easily bypass current security scanners. By using advanced evasion techniques like Self-Extracting Skill Packing, attackers can preserve their malicious payloads while hiding them from static analysis, highlighting the urgent need for runtime defense mechanisms. LLM coding agents, […]
The post Agent Skill Malware Evades Static Scanners Using Self-Extracting Skill Packing appeared first on Cyber Security News.