5.3
CVE-2025-46153
- EPSS 0.39%
- Veröffentlicht 25.09.2025 15:16:12
- Zuletzt bearbeitet 03.10.2025 17:56:58
- Quelle cve@mitre.org
- CVE-Watchlists
- Unerledigt
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.
Daten sind bereitgestellt durch National Vulnerability Database (NVD)
Linuxfoundation ≫ Pytorch Update- SwPlatformpython Version >= 2.6.0 < 2.7.0
VulnDex Vulnerability Enrichment
Diese Information steht angemeldeten Benutzern zur Verfügung. 
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Login| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.39% | 0.307 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | 5.3 | 3.9 | 1.4 |
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
|
CWE-1176 Inefficient CPU Computation
The product performs CPU computations using algorithms that are not as efficient as they could be for the needs of the developer, i.e., the computations can be optimized further.
https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a
https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0
https://github.com/pytorch/pytorch/issues/142853
https://github.com/pytorch/pytorch/pull/143460