CVE-2025-46153 Affecting pytorch package, versions <2.12.0+dfsg2-1
Threat Intelligence
The probability is the direct output of the EPSS model, and conveys an overall sense of the threat of exploitation in the wild. The percentile measures the EPSS probability relative to all known EPSS scores. Note: This data is updated daily, relying on the latest available EPSS model version. Check out the EPSS documentation for more details.
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- published27 Sept 2025
- disclosed25 Sept 2025
Introduced: 25 Sep 2025
CVE-2025-46153 (opens in a new tab)How to fix?
Upgrade Debian:unstable pytorch to version 2.12.0+dfsg2-1 or higher.
NVD Description
Note: Versions mentioned in the description apply only to the upstream pytorch package and not the pytorch package as distributed by Debian.
See How to fix? for Debian:unstable relevant fixed versions and status.
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
- https://security-tracker.debian.org/tracker/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