CVE-2025-2953
LOWPyTorch 2.6.0+cu124 - Denial of Service in torch.mkldnn_max_pool2d
Title source: llmDescription
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.
References (6)
Core 6
Core References
Third Party Advisory, VDB Entry vdb-entry
technical-description
https://vuldb.com/?id.302006
Permissions Required, VDB Entry signature
permissions-required
https://vuldb.com/?ctiid.302006
Third Party Advisory, VDB Entry third-party-advisory
https://vuldb.com/?submit.521279
Exploit, Issue Tracking issue-tracking
https://github.com/pytorch/pytorch/issues/149274
Exploit, Issue Tracking exploit
issue-tracking
https://github.com/pytorch/pytorch/issues/149274#issue-2923122269
Various Sources related
https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models
Scores
CVSS v3
3.3
EPSS
0.0021
EPSS Percentile
10.9%
Attack Vector
LOCAL
CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L
CISA SSVC
Vulnrichment
Exploitation
poc
Automatable
no
Technical Impact
partial
Details
CWE
CWE-404
Status
published
Products (2)
linuxfoundation/pytorch
2.6.0\+cu124
pypi/torch
0 - 2.7.1-rc1PyPI
Published
Mar 30, 2025
Tracked Since
Feb 18, 2026