CVE-2025-2999
PyTorch Memory Corruption Vulnerability
Description
A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. The exploit has been disclosed to the public and may be used.
INFO
Published Date :
March 31, 2025, 3:15 p.m.
Last Modified :
April 1, 2025, 8:26 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
3.4
Exploitability Score :
1.8
Affected Products
The following products are affected by CVE-2025-2999
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-2025-2999
.
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-2025-2999
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-2999
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]
Mar. 31, 2025
Action Type Old Value New Value Added Description A vulnerability was found in PyTorch 2.6.0. It has been rated as critical. Affected by this issue is the function torch.nn.utils.rnn.unpack_sequence. The manipulation leads to memory corruption. Attacking locally is a requirement. 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:L/VI:L/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:L/I:L/A:L Added CVSS V2 (AV:L/AC:L/Au:S/C:P/I:P/A:P) Added CWE CWE-119 Added Reference https://github.com/pytorch/pytorch/issues/149622 Added Reference https://github.com/pytorch/pytorch/issues/149622#issue-2935495265 Added Reference https://vuldb.com/?ctiid.302048 Added Reference https://vuldb.com/?id.302048 Added Reference https://vuldb.com/?submit.524198
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-2999
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-2025-2999
weaknesses.