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CVE-2025-32434

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Date: April 18, 2025

PyTorch is a Python package that provides tensor computation with strong GPU acceleration and deep neural networks built on a tape-based autograd system. In version 2.5.1 and prior, a Remote Command Execution (RCE) vulnerability exists in PyTorch when loading a model using torch.load with weights_only=True. This issue has been patched in version 2.6.0.

Severity Score

Related Resources (7)

https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6
https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-41.yaml
https://github.com/pytorch/pytorch
https://security-tracker.debian.org/tracker/CVE-2025-32434
https://github.com/pytorch/pytorch/commit/8d4b8a920a2172523deb95bf20e8e52d50649c04
https://nvd.nist.gov/vuln/detail/CVE-2025-32434
https://www.mend.io/vulnerability-database/CVE-2025-32434

Severity Score

Weakness Type (CWE)

Deserialization of Untrusted Data

CWE-502

Top Fix

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Upgrade Version

Upgrade to version torch - 2.6.0;pytorch - 2.6.0;https://github.com/pytorch/pytorch.git - v2.6.0

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CVSS v3.1

Base Score:
Attack Vector (AV): NETWORK
Attack Complexity (AC): LOW
Privileges Required (PR): NONE
User Interaction (UI): NONE
Scope (S): UNCHANGED
Confidentiality (C): HIGH
Integrity (I): HIGH
Availability (A): HIGH

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