CVE-2025-2953
2 advisories.
PyPI/torch CVE-2025-2953: low 3.3, EPSS 0.26%
PyTorch susceptible to local Denial of Service
Action: Upgrade torch to 2.7.1-rc1 or later.
pip install torch==2.7.1-rc1Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | 2.7.1-rc1 | - |
Fixed versions
| 2.7.1-rc1 |
Sources
- osv: GHSA-3749-ghw9-m3mg
- https://nvd.nist.gov/vuln/detail/CVE-2025-2953
- https://github.com/pytorch/pytorch/issues/149274
- https://github.com/pytorch/pytorch/issues/149274#issue-2923122269
- https://github.com/pypa/advisory-database/tree/main/vulns/torch/PYSEC-2025-191.yaml
- https://github.com/pytorch/pytorch
- https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models
- https://vuldb.com/?ctiid.302006
- https://vuldb.com/?id.302006
- https://vuldb.com/?submit.521279
CVE-2025-2953 · published · modified · JSON
PyPI/torch CVE-2025-2953: medium 5.5, EPSS 0.26%
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
Action: No fix published. Pin and monitor.
Affected
| introduced | fixed | last affected |
|---|---|---|
| 0 | - | 2.6.0+cu124 |
Fixed versions
No fixed version in the source.
Sources
- osv: PYSEC-2025-191
- https://github.com/pytorch/pytorch/blob/main/SECURITY.md#untrusted-models
- https://vuldb.com/?id.302006
- https://vuldb.com/?submit.521279
- https://github.com/pytorch/pytorch/issues/149274
- https://github.com/pytorch/pytorch/issues/149274#issue-2923122269
- https://vuldb.com/?ctiid.302006
- https://github.com/advisories/GHSA-3749-ghw9-m3mg
CVE-2025-2953 · published · modified · JSON