CVE-2025-32434
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.
Affected Packages
pytorch (CONDA):
Affected version(s) >=0.1.12 <2.6.0Fix Suggestion:
Update to version 2.6.0https://github.com/pytorch/pytorch.git (GITHUB):
Affected version(s) >=v0.1.1 <v2.6.0Fix Suggestion:
Update to version v2.6.0torch (PYTHON):
Affected version(s) >=0.1 <2.6.0Fix Suggestion:
Update to version 2.6.0Related Resources (7)
Do you need more information?
Contact UsCVSS v4
Base Score:
9.3
Attack Vector
NETWORK
Attack Complexity
LOW
Attack Requirements
NONE
Privileges Required
NONE
User Interaction
NONE
Vulnerable System Confidentiality
HIGH
Vulnerable System Integrity
HIGH
Vulnerable System Availability
HIGH
Subsequent System Confidentiality
NONE
Subsequent System Integrity
NONE
Subsequent System Availability
NONE
CVSS v3
Base Score:
9.8
Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
NONE
User Interaction
NONE
Scope
UNCHANGED
Confidentiality
HIGH
Integrity
HIGH
Availability
HIGH
Weakness Type (CWE)
Deserialization of Untrusted Data
EPSS
Base Score:
1.13
