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From Cybersecurity Help – Malicious ML models exploit Pickle serialization flaw to evade detection on Hugging Face

From Cybersecurity Help – Malicious ML models exploit Pickle serialization flaw to evade detection on Hugging Face

Posted inVulnerabilities

From Cybersecurity Help – Malicious ML models exploit Pickle serialization flaw to evade detection on Hugging Face

Posted by

shaikh Saqib February 10, 2025

The attack involves a technique involving “broken” pickle files to evade detection systems.

Tags:

7z compression evasion AI malware detection AI model integrity.AI model security AI security risks AI-powered threats backdoor access broken pickle files compromised AI models cyber awareness cyber defense cyber protection cyber threats cybersecurity cybersecurity research cybersecurity threat digital privacy exploits Hugging Face Hugging Face repository attack infosec machine learning attack machine learning cybersecurity malicious ML models network security note nullifAI evasion technique online security pickle file vulnerability Picklescan bypass Python serialization exploit PyTorch format exploit PyTorch malware reverse shell payload ReversingLabs report security security perspective supply chain attack threat threat intelligence threat note threatnote vulnerabilities zero days

Last updated on February 11, 2025

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