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.
Metrics
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:HWeakness enumeration
Affected software
| Vendor | Product | Versions |
|---|---|---|
| huggingface | huggingface/transformers | >= unspecified, < v5.0.0rc3 |
References
- https://github.com/huggingface/transformers/commit/03c8082ba4594c9b8d6fe190ca9bed0e5f8ca396Patch
- https://huntr.com/bounties/3c77bb97-e493-493d-9a88-c57f5c536485Exploit, Third Party Advisory
- https://huntr.com/bounties/3c77bb97-e493-493d-9a88-c57f5c536485Exploit, Third Party Advisory
Timeline
- Published
- Apr 7, 2026
- Last modified
- Oct 26, 2026
- NVD status
- Analyzed