CVE-2025-3121
PyTorch Memory Corruption (Local Access)
Description
A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used.
INFO
Published Date :
April 2, 2025, 10:15 p.m.
Last Modified :
May 27, 2025, 6:29 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
3.6
Exploitability Score :
1.8
Public PoC/Exploit Available at Github
CVE-2025-3121 has a 1 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2025-3121.
| URL | Resource |
|---|---|
| https://github.com/pytorch/pytorch/issues/149800 | Issue Tracking Vendor Advisory |
| https://github.com/pytorch/pytorch/issues/149800#issue-2940240700 | Issue Tracking Vendor Advisory |
| https://vuldb.com/?ctiid.303012 | Permissions Required VDB Entry |
| https://vuldb.com/?id.303012 | Third Party Advisory VDB Entry |
| https://vuldb.com/?submit.525049 | Third Party Advisory VDB Entry Exploit |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
None
Python Jupyter Notebook Shell
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2025-3121 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-3121 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
Initial Analysis by [email protected]
May. 27, 2025
Action Type Old Value New Value Added CVSS V3.1 AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H Added CPE Configuration OR *cpe:2.3:a:linuxfoundation:pytorch:2.6.0:-:*:*:*:python:*:* Added Reference Type VulDB: https://github.com/pytorch/pytorch/issues/149800 Types: Issue Tracking, Vendor Advisory Added Reference Type VulDB: https://github.com/pytorch/pytorch/issues/149800#issue-2940240700 Types: Issue Tracking, Vendor Advisory Added Reference Type VulDB: https://vuldb.com/?ctiid.303012 Types: Permissions Required, VDB Entry Added Reference Type VulDB: https://vuldb.com/?id.303012 Types: Third Party Advisory, VDB Entry Added Reference Type VulDB: https://vuldb.com/?submit.525049 Types: Exploit, Third Party Advisory, VDB Entry -
New CVE Received by [email protected]
Apr. 02, 2025
Action Type Old Value New Value Added Description A vulnerability classified as problematic has been found in PyTorch 2.6.0. Affected is the function torch.jit.jit_module_from_flatbuffer. The manipulation leads to memory corruption. Local access is required to approach this attack. The exploit has been disclosed to the public and may be used. Added CVSS V4.0 AV:L/AC:L/AT:N/PR:L/UI:N/VC:N/VI:N/VA:L/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X Added CVSS V3.1 AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L Added CVSS V2 (AV:L/AC:L/Au:S/C:N/I:N/A:P) Added CWE CWE-119 Added Reference https://github.com/pytorch/pytorch/issues/149800 Added Reference https://github.com/pytorch/pytorch/issues/149800#issue-2940240700 Added Reference https://vuldb.com/?ctiid.303012 Added Reference https://vuldb.com/?id.303012 Added Reference https://vuldb.com/?submit.525049
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-3121 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2025-3121
weaknesses.