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  5. CVE-2025-2953

CVE-2025-2953: PyTorch susceptible to local Denial of Service

March 30, 2025 (updated April 23, 2025)

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.

References

  • github.com/advisories/GHSA-3749-ghw9-m3mg
  • github.com/pytorch/pytorch
  • github.com/pytorch/pytorch/blob/main/SECURITY.md
  • github.com/pytorch/pytorch/issues/149274
  • github.com/pytorch/pytorch/issues/149274
  • nvd.nist.gov/vuln/detail/CVE-2025-2953
  • vuldb.com/?ctiid.302006
  • vuldb.com/?id.302006
  • vuldb.com/?submit.521279

Code Behaviors & Features

Detect and mitigate CVE-2025-2953 with GitLab Dependency Scanning

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Affected versions

All versions up to 2.6.0

Solution

Unfortunately, there is no solution available yet.

Impact 3.3 LOW

CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:L

Learn more about CVSS

Weakness

  • CWE-404: Improper Resource Shutdown or Release

Source file

pypi/torch/CVE-2025-2953.yml

Spotted a mistake? Edit the file on GitLab.

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