BadSkill: Backdoor Attacks on Agent Skills via Model-in-Skill Poisoning

Researchers have developed BadSkill, a backdoor attack that targets third-party skills embedded with machine learning models in AI agent systems, enabling hidden malicious payloads to be activated by specific triggers. This poses a significant supply-chain risk as seemingly benign skills can harbor covert threats undetected by standard security measures, highlighting the need for enhanced verification and behavioral analysis of third-party skill artifacts.

Read the full article at arXiv cs.CR (Cryptography & Security)

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