#malware-detection News & Analysis

3 articles tagged with #malware-detection. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

3 articles

AINeutralarXiv – CS AI · Apr 106/10

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SkillSieve: A Hierarchical Triage Framework for Detecting Malicious AI Agent Skills

Researchers introduced SkillSieve, a three-layer detection framework that identifies malicious AI agent skills in OpenClaw's ClawHub marketplace, where 13-26% of over 13,000 skills contain security vulnerabilities. The system combines regex/AST scanning, LLM-based analysis with parallel sub-tasks, and multi-LLM voting to achieve 0.800 F1 score at $0.006 per skill, significantly outperforming existing detection methods.

AINeutralarXiv – CS AI · Mar 37/106

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Formal Analysis and Supply Chain Security for Agentic AI Skills

Researchers developed SkillFortify, the first formal analysis framework for securing AI agent skill supply chains, addressing critical vulnerabilities exposed by attacks like ClawHavoc that infiltrated over 1,200 malicious skills. The framework achieved 96.95% F1 score with 100% precision and zero false positives in detecting malicious AI agent skills.

AIBullishHugging Face Blog · Oct 226/105

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Hugging Face and VirusTotal collaborate to strengthen AI security

Hugging Face has partnered with VirusTotal to enhance AI model security by integrating malware scanning capabilities. This collaboration aims to protect the AI ecosystem from malicious models and strengthen security protocols across AI platforms.