Skip to content

torch-2.8.0-cp310-none-macosx_11_0_arm64.whl: 1 vulnerabilities (highest severity is: 5.3) #36

@mend-app-ghe

Description

@mend-app-ghe
Vulnerable Library - torch-2.8.0-cp310-none-macosx_11_0_arm64.whl

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Library home page: https://files.pythonhosted.org/packages/ef/d6/e6d4c57e61c2b2175d3aafbfb779926a2cfd7c32eeda7c543925dceec923/torch-2.8.0-cp310-none-macosx_11_0_arm64.whl

Path to dependency file: /dev/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20250911162230_THIROO/python_WJUNOV/202509111623321/env/lib/python3.9/site-packages/torch-2.8.0.dist-info,/tmp/ws-ua_20250911162230_THIROO/python_WJUNOV/20250911162252/torch-2.8.0-cp39-cp39-manylinux_2_28_x86_64.whl

Found in HEAD commit: eb4a123ac71f425039cbf2b066115e480b3e6cc6

Vulnerabilities

Vulnerability Severity CVSS Dependency Type Fixed in (torch version) Remediation Possible**
CVE-2025-55552 Medium 5.3 torch-2.8.0-cp310-none-macosx_11_0_arm64.whl Direct N/A

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

Details

CVE-2025-55552

Vulnerable Library - torch-2.8.0-cp310-none-macosx_11_0_arm64.whl

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Library home page: https://files.pythonhosted.org/packages/ef/d6/e6d4c57e61c2b2175d3aafbfb779926a2cfd7c32eeda7c543925dceec923/torch-2.8.0-cp310-none-macosx_11_0_arm64.whl

Path to dependency file: /dev/requirements.txt

Path to vulnerable library: /tmp/ws-ua_20250911162230_THIROO/python_WJUNOV/202509111623321/env/lib/python3.9/site-packages/torch-2.8.0.dist-info,/tmp/ws-ua_20250911162230_THIROO/python_WJUNOV/20250911162252/torch-2.8.0-cp39-cp39-manylinux_2_28_x86_64.whl

Dependency Hierarchy:

  • torch-2.8.0-cp310-none-macosx_11_0_arm64.whl (Vulnerable Library)

Found in HEAD commit: eb4a123ac71f425039cbf2b066115e480b3e6cc6

Found in base branch: master

Vulnerability Details

pytorch v2.8.0 was discovered to display unexpected behavior when the components torch.rot90 and torch.randn_like are used together.

Publish Date: 2025-09-25

URL: CVE-2025-55552

CVSS 3 Score Details (5.3)

Base Score Metrics:

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

For more information on CVSS3 Scores, click here.

Metadata

Metadata

Assignees

No one assigned

    Type

    No type

    Projects

    No projects

    Milestone

    No milestone

    Relationships

    None yet

    Development

    No branches or pull requests

    Issue actions