Hugging Face Transformers RCE flaw enables stealthy compromise via AI model configs
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2 Articles
Critical Hugging Face Transformers flaw ran attacker code on a routine model load
Pluto Security Inc. today disclosed a critical remote code execution vulnerability in Hugging Face Inc.’s Transformers library that allowed attacker-controlled artificial intelligence models to run arbitrary code on a victim’s machine. The flaw fired through a standard model-loading command, even for organizations that followed Hugging Face’s recommended security guidance. Tracked as CVE-2026-4372, the flaw defeated trust_remote_code=False, […] …
Hugging Face Transformers RCE flaw enables stealthy compromise via AI model configs
A high severity vulnerability in Hugging Face Transformers enables attackers to compromise systems that use the popular Python library to test and run AI models. The flaw impacts library versions that continue to be actively downloaded and comes at a time when attackers are increasingly targeting the AI supply chain, including through malicious models hosted on the Hugging Face platform. The exploit for this vulnerability involves adding an inno…
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