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CVE-2024-31583 (High) detected in torch-1.5.0-cp36-cp36m-manylinux1_x86_64.whl #1645

Open mend-bolt-for-github[bot] opened 3 months ago

mend-bolt-for-github[bot] commented 3 months ago

CVE-2024-31583 - High Severity Vulnerability

Vulnerable Library - torch-1.5.0-cp36-cp36m-manylinux1_x86_64.whl

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Library home page: https://files.pythonhosted.org/packages/13/70/54e9fb010fe1547bc4774716f11ececb81ae5b306c05f090f4461ee13205/torch-1.5.0-cp36-cp36m-manylinux1_x86_64.whl

Path to dependency file: /pytorch-metric-learning

Path to vulnerable library: /pytorch-metric-learning

Dependency Hierarchy: - :x: **torch-1.5.0-cp36-cp36m-manylinux1_x86_64.whl** (Vulnerable Library)

Found in HEAD commit: 50a539d66e7a2f790cf8a8d8d1471993698c9adc

Found in base branch: master

Vulnerability Details

Pytorch before version v2.2.0 was discovered to contain a use-after-free vulnerability in torch/csrc/jit/mobile/interpreter.cpp.

Publish Date: 2024-04-17

URL: CVE-2024-31583

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-2024-31583

Release Date: 2024-04-17

Fix Resolution: 2.2.0


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