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GHSA-69w3-r845-3855: HuggingFace Transformers allows for arbitrary code execution in the `Trainer` class

OSV AI package advisories · observation · Apr 7, 2026 · UTC

A vulnerability in the HuggingFace Transformers library, specifically in the `Trainer` class, allows for arbitrary code execution. The `_load_rng_state()` method in `src/transformers/trainer.py` at line 3059 calls `torch.load()` without the `weights_only=True` parameter. This issue affects all versions of the library supporting `torch>=2.2` when used with PyTorch versions below 2.6, as the `safe_globals()` context manager provides no protection in these versions. An attacker can exploit this vulnerability by supplying a malicious checkpoint file, such as `rng_state.pth`, which can execute arbi

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recordType

vulnerability

status

active

evidenceStatus

reported

region

Global