CVE-2025-46153

Publication date 25 September 2025

Last updated 1 October 2025

Ubuntu priority

Cvss 3 Severity Score

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.

Status

Show unmaintained releases

Package	Ubuntu Release	Status
pytorch	25.10 questing	Needs evaluation
	25.04 plucky	Needs evaluation
	24.04 LTS noble	Not in release
	22.04 LTS jammy	Needs evaluation

How can I get the fixes?
What do statuses mean?

Severity score breakdown

Parameter	Value
Base score	5.3 · Medium
Attack vector	Network
Attack complexity	Low
Privileges required	None
User interaction	None
Scope	Unchanged
Confidentiality	Low
Integrity impact	None
Availability impact	None
Vector	CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

References

MITRE
NVD
Launchpad
Debian

Other references

https://www.cve.org/CVERecord?id=CVE-2025-46153
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