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.
Affected products
huggingface: transformers
References3
- github.com/huggingface/transformers/commit/03c8082ba4594c9b8d6f… Patch
- huntr.com/bounties/3c77bb97-e493-493d-9a88-c57f5c536485 ExploitThird Party Advisory
- huntr.com/bounties/3c77bb97-e493-493d-9a88-c57f5c536485 ExploitThird Party Advisory
Metrics
- CVSS 3.1
-
7.8
HIGH
Score source: NVD
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H - EPSS — exploit probability
- 0% percentile: 33 · as of 12 November 2026
- CWE
- CWE-502
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