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CVE-2026-4372 is a critical remote code execution vulnerability in the Hugging Face Transformers library affecting versions prior to 5.3.0, specifically reported for versions 4.56.0 through 5.2.x when used with the optional kernels package. The flaw is triggered when a model configuration file contains a maliciously crafted _attn_implementation_internal attribute that references an attacker-controlled Hugging Face Hub repository. During normal model loading through APIs such as AutoModelForCausalLM.from_pretrained(), the library processes this untrusted configuration attribute, downloads attacker-controlled Python code, and executes it without adequate validation, sanitization, or sandboxing. The issue effectively bypasses the intended trust_remote_code=False protection by treating an internal configuration field as trusted input, creating a silent code execution path during standard documented usage.
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A critical remote code execution vulnerability in the HuggingFace Transformers library caused by improper handling of untrusted model configuration data, allowing malicious config.json content to trigger arbitrary Python code execution during model loading and bypass trust_remote_code=False.
A critical remote code execution vulnerability in Hugging Face's Transformers library that allowed malicious AI models to execute arbitrary code during model loading, even with trust_remote_code=False enabled.
A related trust_remote_code bypass vulnerability in HuggingFace Transformers prior to 5.3.0 using the _attn_implementation_internal field in crafted config.json.
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