Executive Summary

Informations
Name CVE-2025-32434 First vendor Publication 2025-04-18
Vendor Cve Last vendor Modification 2025-05-28

Security-Database Scoring CVSS v3

Cvss vector : CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Overall CVSS Score 9.8
Base Score 9.8 Environmental Score 9.8
impact SubScore 5.9 Temporal Score 9.8
Exploitabality Sub Score 3.9
 
Attack Vector Network Attack Complexity Low
Privileges Required None User Interaction None
Scope Unchanged Confidentiality Impact High
Integrity Impact High Availability Impact High
Calculate full CVSS 3.0 Vectors scores

Security-Database Scoring CVSS v2

Cvss vector :
Cvss Base Score N/A Attack Range N/A
Cvss Impact Score N/A Attack Complexity N/A
Cvss Expoit Score N/A Authentication N/A
Calculate full CVSS 2.0 Vectors scores

Detail

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.

Original Source

Url : http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2025-32434

CWE : Common Weakness Enumeration

% Id Name
100 % CWE-502 Deserialization of Untrusted Data

CPE : Common Platform Enumeration

TypeDescriptionCount
Application 3

Sources (Detail)

https://github.com/pytorch/pytorch/security/advisories/GHSA-53q9-r3pm-6pq6
Source Url

Alert History

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0
1
Date Informations
2025-05-28 17:20:36
  • Multiple Updates
2025-05-27 02:57:11
  • First insertion