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CVE-2026-1839

nvd nist
Published: Apr 7, 2026Modified: Jun 17, 2026

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7.8
Vector
CVSS:3.1/AV:L/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
Exploitability: 1.8 / Impact: 5.9
Source: NVD

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 (4)

1 product
Transformers
Configuration A
4 vulnerable
Vulnerable SoftwareAffected Versions
Huggingface
Before 5.0.0
Version 5.0.0 rc0
Version 5.0.0 rc1
Version 5.0.0 rc2

References (3)

Source: security@huntr.dev
ExploitThird Party Advisory
Source: 134c704f-9b21-4f2e-91b3-4a467353bcc0
ExploitThird Party Advisory

Timeline

No history available yet.