CVE-2025-2953

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.

Weakness

The product does not release or incorrectly releases a resource before it is made available for re-use.

Potential Mitigations

• Use a language that does not allow this weakness to occur or provides constructs that make this weakness easier to avoid.
• For example, languages such as Java, Ruby, and Lisp perform automatic garbage collection that releases memory for objects that have been deallocated.

Related Attack Patterns

• https://cwe.mitre.org/data/definitions/125.html
• https://cwe.mitre.org/data/definitions/130.html
• https://cwe.mitre.org/data/definitions/131.html
• https://cwe.mitre.org/data/definitions/494.html
• https://cwe.mitre.org/data/definitions/495.html
• https://cwe.mitre.org/data/definitions/496.html
• https://cwe.mitre.org/data/definitions/666.html

References

• https://github.com/pytorch/pytorch/issues/149274
• https://github.com/pytorch/pytorch/issues/149274#issue-2923122269
• https://vuldb.com/?ctiid.302006
• https://vuldb.com/?id.302006
• https://vuldb.com/?submit.521279
• https://github.com/pytorch/pytorch/issues/149274