3.3
LOW
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 :

April 2, 2025, 10:15 p.m.

Remotely Exploitable :

No

Impact Score :

1.4

Exploitability Score :

1.8
Affected Products

The following products are affected by CVE-2025-3121 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

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
https://github.com/pytorch/pytorch/issues/149800#issue-2940240700
https://vuldb.com/?ctiid.303012
https://vuldb.com/?id.303012
https://vuldb.com/?submit.525049

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).

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.

  • 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
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.
CVSS31 - Vulnerability Scoring System
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