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Withdrawn Advisory: PyTorch deserialization vulnerability

Critical severity GitHub Reviewed Published Mar 20, 2025 to the GitHub Advisory Database • Updated Apr 2, 2025
Withdrawn This advisory was withdrawn on Apr 2, 2025

Package

pip torch (pip)

Affected versions

<= 2.3.1

Patched versions

None

Description

Withdrawn Advisory

This advisory has been withdrawn because it describes known functionality of PyTorch. This link is maintained to preserve external references.

Original Description

A deserialization vulnerability exists in the Pytorch RPC framework (torch.distributed.rpc) in pytorch/pytorch versions <=2.3.1. The vulnerability arises from the lack of security verification during the deserialization process of PythonUDF objects in pytorch/torch/distributed/rpc/internal.py. This flaw allows an attacker to execute arbitrary code remotely by sending a malicious serialized PythonUDF object, leading to remote code execution (RCE) on the master node.

References

Published by the National Vulnerability Database Mar 20, 2025
Published to the GitHub Advisory Database Mar 20, 2025
Reviewed Mar 21, 2025
Withdrawn Apr 2, 2025
Last updated Apr 2, 2025

Severity

Critical

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
None
User interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(48th percentile)

Weaknesses

CVE ID

CVE-2024-7804

GHSA ID

GHSA-4vmg-rw8f-92f9

Source code

Credits

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