Description
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 arbitrary code when loaded. The issue is resolved in version v5.0.0rc3.
Problem types
CWE-502 Deserialization of Untrusted Data
Product status
References
huntr.com/bounties/3c77bb97-e493-493d-9a88-c57f5c536485
github.com/...ommit/03c8082ba4594c9b8d6fe190ca9bed0e5f8ca396