CVE-2025-46153
5.3
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Summary
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.
Affected Software
| Vendor | Product | Version Range | Status |
|---|---|---|---|
| n/a | n/a | n/a | affected |
Weaknesses
- n/a
ADP Enrichment
CISA ADP Vulnrichment
- SSVC:
- Exploitation: none
- Automatable: no
- Technical Impact: partial
References
- https://github.com/pytorch/pytorch/issues/142853
- https://github.com/pytorch/pytorch/pull/143460
- https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a
- https://github.com/pytorch/pytorch/compare/v2.6.0…v2.7.0
- https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
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