Vulnerability Monitor

The vendors, products, and vulnerabilities you care about

CVE-2025-46153

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.

Published

2025-09-25T15:16:12.603

Last Modified

2025-10-03T17:56:58.610

Status

Analyzed

Source

[email protected]

Severity

CVSSv3.1: 5.3 (MEDIUM)

Weaknesses

Type: Secondary
CWE-1176

Affected Vendors & Products

Type	Vendor	Product	Version/Range	Vulnerable?
Application	linuxfoundation	pytorch	< 2.7.0	Yes

References

https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a Third Party Advisory ([email protected])
https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a Third Party Advisory ([email protected])
https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0 Product ([email protected])
https://github.com/pytorch/pytorch/issues/142853 Issue Tracking ([email protected])
https://github.com/pytorch/pytorch/pull/143460 Issue Tracking, Patch ([email protected])