CVE-2026-1839
A vulnerability in the HuggingFace Transformers library, specifically in the `Trainer` class, allows for arbitrary code execution.
Impact
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.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | transformers | < 5.0.0rc3 | 5.0.0rc3 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Huggingface | Transformers | before 5.0.0 Version 5.0.0 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/huggingface/transformers/commit/03c8082ba4594c9b8d6fe190ca9bed0e5f8ca396
- https://huntr.com/bounties/3c77bb97-e493-493d-9a88-c57f5c536485
- https://github.com/advisories/GHSA-69w3-r845-3855
- https://nvd.nist.gov/vuln/detail/CVE-2026-1839
- https://github.com/huggingface/transformers/releases/tag/v5.0.0rc3