Vulnerability 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.
CVSS Score
HIGH
Affected Products
| Vendor | Product | Versions |
|---|---|---|
| Huggingface | Transformers | < 5.0.0 |
Related Weaknesses (CWE)
References
- https://github.com/huggingface/transformers/commit/03c8082ba4594c9b8d6fe190ca9bePatch
- https://huntr.com/bounties/3c77bb97-e493-493d-9a88-c57f5c536485ExploitThird Party Advisory
- https://huntr.com/bounties/3c77bb97-e493-493d-9a88-c57f5c536485ExploitThird Party Advisory
FAQ
What is CVE-2026-1839?
CVE-2026-1839 is a vulnerability with a CVSS score of 7.8 (HIGH). 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 li...
How severe is CVE-2026-1839?
CVE-2026-1839 has been rated HIGH with a CVSS base score of 7.8/10. Review the CVSS metrics above for detailed severity breakdown.
Is there a patch for CVE-2026-1839?
Check the references section above for vendor advisories and patch information. Affected products include: Huggingface Transformers.