CVE-2025-2953
PyTorch Denial of Service (DoS) in torch.mkldnn_max_pool2d
Description
A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The security policy of the project warns to use unknown models which might establish malicious effects.
INFO
Published Date :
March 30, 2025, 4:15 p.m.
Last Modified :
April 22, 2025, 12:15 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
3.6
Exploitability Score :
1.8
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-2025-2953.
| URL | Resource |
|---|---|
| https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models | |
| https://github.com/pytorch/pytorch/issues/149274 | Exploit Issue Tracking |
| https://github.com/pytorch/pytorch/issues/149274#issue-2923122269 | Exploit Issue Tracking |
| https://vuldb.com/?ctiid.302006 | Permissions Required VDB Entry |
| https://vuldb.com/?id.302006 | Third Party Advisory VDB Entry |
| https://vuldb.com/?submit.521279 | Third Party Advisory VDB Entry |
| https://github.com/pytorch/pytorch/issues/149274 | Exploit Issue Tracking |
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-2025-2953 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2025-2953 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.
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CVE Modified by [email protected]
Apr. 22, 2025
Action Type Old Value New Value Added Tag disputed Changed Description A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The real existence of this vulnerability is still doubted at the moment. The security policy of the project warns to use unknown models which might establish malicious effects. Added Reference https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models -
Initial Analysis by [email protected]
Apr. 15, 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+cu124:*:*:*:*:python:*:* Added Reference Type CISA-ADP: https://github.com/pytorch/pytorch/issues/149274 Types: Exploit, Issue Tracking Added Reference Type VulDB: https://github.com/pytorch/pytorch/issues/149274 Types: Exploit, Issue Tracking Added Reference Type VulDB: https://github.com/pytorch/pytorch/issues/149274#issue-2923122269 Types: Exploit, Issue Tracking Added Reference Type VulDB: https://vuldb.com/?ctiid.302006 Types: Permissions Required, VDB Entry Added Reference Type VulDB: https://vuldb.com/?id.302006 Types: Third Party Advisory, VDB Entry Added Reference Type VulDB: https://vuldb.com/?submit.521279 Types: Third Party Advisory, VDB Entry -
CVE Modified by 134c704f-9b21-4f2e-91b3-4a467353bcc0
Mar. 31, 2025
Action Type Old Value New Value Added Reference https://github.com/pytorch/pytorch/issues/149274 -
New CVE Received by [email protected]
Mar. 30, 2025
Action Type Old Value New Value Added Description A vulnerability, which was classified as problematic, has been found in PyTorch 2.6.0+cu124. Affected by this issue is the function torch.mkldnn_max_pool2d. The manipulation leads to denial of service. An attack has to be approached locally. 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-404 Added Reference https://github.com/pytorch/pytorch/issues/149274 Added Reference https://github.com/pytorch/pytorch/issues/149274#issue-2923122269 Added Reference https://vuldb.com/?ctiid.302006 Added Reference https://vuldb.com/?id.302006 Added Reference https://vuldb.com/?submit.521279
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2025-2953 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-2025-2953
weaknesses.