5.3Medium
CVE-2025-46153
Description
PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency with the eager CPU implementation, negatively affecting nn.Dropout1d, nn.Dropout2d, and nn.Dropout3d for fallback_random=True.
Weakness (CWE):
CWE-1176
Data: CVE.org, NVD, CISA KEV, FIRST EPSS, Ubuntu. Published as the sources state it, in English.
Affected products and versions
| Vendor | Product | Versions | |
|---|---|---|---|
| linuxfoundation | pytorch | 2.6.0 – < 2.7.0 |
References and patches
- https://github.com/pytorch/pytorch/issues/142853 Issue Tracking
- https://github.com/pytorch/pytorch/pull/143460 Issue TrackingPatch
- https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a Third Party Advisory
- https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0 Product
- https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a Third Party Advisory
CPE matches (NVD) (1)
cpe:2.3:a:linuxfoundation:pytorch:*:-:*:*:*:python:*:*≥ 2.6.0 < 2.7.0