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Vulnerability · Published Mar 30, 2025 · Assigned by VulDB

CVE-2025-2953PyTorch torch.mkldnn_max_pool2d denial of service

Low 3.3

In plain English

A low-severity security flaw in PyTorch. Proof-of-concept exploit code is public. The chance it is exploited in the next 30 days is estimated at 0.3% (higher than 18% of all known vulnerabilities). Fixed versions are available - upgrade the affected package.

Severity (CVSS 3.1)3.3Low
Exploit odds (30 days)0.3%top 82.1% of all CVEs
Exploited in the wildNo reportsCISA SSVC: poc
Attack toolingNoneno public tooling known

Official 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.

Affected packages & fixed versions

EcosystemPackageFixed inAdvisory
Debian:12pytorchno fix listedDEBIAN-CVE-2025-2953
Debian:13pytorchno fix listedDEBIAN-CVE-2025-2953
Debian:14pytorchno fix listedDEBIAN-CVE-2025-2953
PyPItorch2.7.1-rc1GHSA-3749-ghw9-m3mg
PyPItorchno fix listedPYSEC-2025-191
Ubuntu:22.04:LTSpytorchno fix listedUBUNTU-CVE-2025-2953
Ubuntu:25.10pytorchno fix listedUBUNTU-CVE-2025-2953
Ubuntu:26.10pytorchno fix listedUBUNTU-CVE-2025-2953

Affected products (as reported)

VendorProductVersions
n/a PyTorch 2.6.0+cu124

Weakness: CWE-404 · Vector: CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

References