6.5
CVE-2026-1839
- EPSS 0.02%
- Veröffentlicht 07.04.2026 05:22:00
- Zuletzt bearbeitet 07.04.2026 14:16:18
- Quelle security@huntr.dev
- CVE-Watchlists
- Unerledigt
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.
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Herstellerhuggingface
≫
Produkt
huggingface/transformers
Version <
v5.0.0rc3
Version
unspecified
Status
affected
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.02% | 0.052 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| security@huntr.dev | 6.5 | 1 | 5.5 |
CVSS:3.0/AV:L/AC:H/PR:N/UI:R/S:U/C:H/I:L/A:H
|
CWE-502 Deserialization of Untrusted Data
The product deserializes untrusted data without sufficiently ensuring that the resulting data will be valid.