CVE-2025-46153
MEDIUMPyTorch 2.6.0-2.6.9 - Inefficient CPU Computation in Bernoulli Decomposition
Title source: llmDescription
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.
References (5)
Core 5
Core References
Third Party Advisory
https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
Third Party Advisory
https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a
Issue Tracking
https://github.com/pytorch/pytorch/issues/142853
Issue Tracking, Patch
https://github.com/pytorch/pytorch/pull/143460
Scores
CVSS v3
5.3
EPSS
0.0008
EPSS Percentile
22.7%
Attack Vector
NETWORK
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
CISA SSVC
Vulnrichment
Exploitation
none
Automatable
no
Technical Impact
partial
Details
CWE
CWE-1176
Status
published
Products (1)
linuxfoundation/pytorch
2.6.0 - 2.7.0
Published
Sep 25, 2025
Tracked Since
Feb 18, 2026