Skip to content
fr Sign in
6.5 Medium

CVE-2026-1839 A vulnerability in the HuggingFace Transformers library, specifically in the `Trainer` class, allows for arbitrary…

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 and versions

Product Affected versions Fixed in
huggingface/transformers 5.0 earliest → < 5.0.0rc3 5.0.0rc3

References

Timeline

  1. Published
  2. Last modified

Other CVEs of huggingface/transformers

The 20 CVEs of huggingface/transformers →
CVE-2026-9856 A vulnerability in huggingface/transformers… 7.1 High CVE-2026-5241 A vulnerability in the LightGlue model loading path of huggingface/transformers version 5.2.0 allows an… 8.0 High CVE-2026-4372 A critical remote code execution vulnerability exists in all versions of the HuggingFace transformers library prior to… 7.8 High CVE-2025-6921 The huggingface/transformers library, versions prior to 4.53.0, is vulnerable to Regular Expression Denial of Service… 5.3 Medium
Track this CVE