CVE-2026-1839

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.

How to fix CVE-2026-1839

To remediate CVE-2026-1839, upgrade the affected package to a fixed version below.

• —upgrade to 5.0.0rc3 or later

Is CVE-2026-1839 being exploited?

Low — EPSS is 0.0%, meaning exploitation activity has not been observed at scale.

Affected packages (1)

• from 0, < 5.0.0rc3

CVSS scores

References (5)

• ADVISORYnvd.nist.gov/vuln/detail/CVE-2026-1839
• PATCHgithub.com/huggingface/transformers
• WEBgithub.com/huggingface/transformers/commit/03c8082ba4594c9b8d6fe190ca9bed0e5f8ca396
• WEBgithub.com/huggingface/transformers/releases/tag/v5.0.0rc3