low3.3
CVE-2025-2953
PyTorch susceptible to local Denial of Service
Impact
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.
Affected packages
| Ecosystem | Package | Affected | Fixed in |
|---|---|---|---|
| pip | torch | < 2.7.1-rc1 | 2.7.1-rc1 |
Affected products
| Vendor | Product | Affected versions |
|---|---|---|
| Linuxfoundation | Pytorch | Version 2.6.0\+cu124 |
Weakness classification
References
- NVD record
- CVE.org record
- GitHub advisory
- https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models
- 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/advisories/GHSA-3749-ghw9-m3mg
- https://nvd.nist.gov/vuln/detail/CVE-2025-2953
- https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-191.yaml