PyTorch susceptible to local Denial of Service
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.
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describes (1)
Related CVEs.
| ID | severity | exploitable | ||
|---|---|---|---|---|
| CVE-2025-2953US | medium5.5 | — | ||
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… | ||||
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references
External citations — patches, advisories, analysis.
- https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-191.yamlWEB
- https://github.com/pytorch/pytorchPACKAGE
- https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-modelsWEB
- https://github.com/pytorch/pytorch/issues/149274WEB
- https://github.com/pytorch/pytorch/issues/149274#issue-2923122269WEB
- https://nvd.nist.gov/vuln/detail/CVE-2025-2953ADVISORY
- https://vuldb.com/?ctiid.302006WEB
- https://vuldb.com/?id.302006WEB
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