CVE-2025-46153

MEDIUM

5.3

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.

CVE Details

CVSS v3.1 Score5.3

SeverityMEDIUM

CVSS VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Attack VectorNETWORK

ComplexityLOW

Privileges RequiredNONE

User InteractionNONE

Published9/25/2025

Last Modified10/3/2025

Sourcenvd

Honeypot Sightings0

Affected Products

linuxfoundation:pytorch

Weaknesses (CWE)

CWE-1176

References

https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a(cve@mitre.org)

https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a(cve@mitre.org)

https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0(cve@mitre.org)

https://github.com/pytorch/pytorch/issues/142853(cve@mitre.org)

https://github.com/pytorch/pytorch/pull/143460(cve@mitre.org)

IOC Correlations

No correlations recorded

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