From Instructions to Exploits: Applying Program Analysis to Malicious Agent Skills Across Natural Language and Code

Reported by arXiv cs.CR (Shiwu Zhao, Baizhu Wang, Guoqiang Zheng, Tingyu Gao, Yuheng Xie, Rujie Chen, Xingchen Chen, Xuezhang Liu, Qixu Liu)

Summary by Cyber Security News27 Oct 2026, 05:00 CET

About this summary. This is a short excerpt from the description that arXiv cs.CR published with its article. Cyber Security News did not report or verify the underlying story. Read the original: https://arxiv.org/abs/2610.33489

arXiv:2610.33489v1 Announce Type: new Abstract: LLM-powered agents increasingly rely on third-party skills that combine natural-language instructions with executable code, creating supply-chain risks that may span both artifacts. Existing skill scanners often rely on rule matching or direct LLM judgments and provide limited support for tracing such cross-domain behavior.

Read the full article at arXiv cs.CR →

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