transformers-4.57.6-py3-none-any.whl: 1 vulnerabilities (highest severity is: 6.5)

[mend-bolt-for-github]

Vulnerable Library - transformers-4.57.6-py3-none-any.whl

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Library home page: https://files.pythonhosted.org/packages/03/b8/e484ef633af3887baeeb4b6ad12743363af7cce68ae51e938e00aaa0529d/transformers-4.57.6-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/11/transformers-4.57.6-py3-none-any.whl,/tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/9/transformers-4.57.6-py3-none-any.whl

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Vulnerabilities

Vulnerability	Severity	CVSS	Dependency	Type	Fixed in (transformers version)	Remediation Possible**
CVE-2026-1839	Medium	6.5	transformers-4.57.6-py3-none-any.whl	Direct	transformers - 5.0.0rc3	❌

**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation

Details

CVE-2026-1839

Vulnerable Library - transformers-4.57.6-py3-none-any.whl

State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow

Library home page: https://files.pythonhosted.org/packages/03/b8/e484ef633af3887baeeb4b6ad12743363af7cce68ae51e938e00aaa0529d/transformers-4.57.6-py3-none-any.whl

Path to dependency file: /ai/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/11/transformers-4.57.6-py3-none-any.whl,/tmp/ws-ua_20260331025725_MIUFBE/python_UVEQHS/20260331025831/9/transformers-4.57.6-py3-none-any.whl

Dependency Hierarchy:

• ❌ transformers-4.57.6-py3-none-any.whl (Vulnerable Library)

Found in HEAD commit: 0f1cc4f79fdab9e4d90aa9caf963ea2e271c0183

Found in base branch: main

Vulnerability Details

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.

Publish Date: 2026-04-07

URL: CVE-2026-1839

CVSS 3 Score Details (6.5)

Base Score Metrics:

• Exploitability Metrics:
  • Attack Vector: Local
  • Attack Complexity: High
  • Privileges Required: None
  • User Interaction: Required
  • Scope: Unchanged
• Impact Metrics:
  • Confidentiality Impact: High
  • Integrity Impact: Low
  • Availability Impact: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: GHSA-69w3-r845-3855

Release Date: 2026-04-07

Fix Resolution: transformers - 5.0.0rc3

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