CVE-2024-31580 (High) detected in torch-2.0.1-cp38-cp38-manylinux1_x86_64.whl

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CVE-2024-31580 - High Severity Vulnerability

Vulnerable Library - torch-2.0.1-cp38-cp38-manylinux1_x86_64.whl

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Library home page: https://files.pythonhosted.org/packages/96/28/026dc037f177d53558477931677b120f649dd5a0dcdc4b44dc38b3d75711/torch-2.0.1-cp38-cp38-manylinux1_x86_64.whl

Path to dependency file: /requirements.txt

Path to vulnerable library: /requirements.txt

Dependency Hierarchy:

• ❌ torch-2.0.1-cp38-cp38-manylinux1_x86_64.whl (Vulnerable Library)

Found in HEAD commit: b26ea1ea360ac0169a0529859b41eee57ac80bf1

Found in base branch: main

Vulnerability Details

PyTorch before v2.2.0 was discovered to contain a heap buffer overflow vulnerability in the component /runtime/vararg_functions.cpp. This vulnerability allows attackers to cause a Denial of Service (DoS) via a crafted input.

Publish Date: 2024-04-17

URL: CVE-2024-31580

CVSS 3 Score Details (7.5)

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: High

For more information on CVSS3 Scores, click here.

Suggested Fix

Type: Upgrade version

Origin: https://www.cve.org/CVERecord?id=CVE-2024-31580

Release Date: 2024-04-17

Fix Resolution: 2.2.0

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