Source: pytorch Version: 2.6.0+dfsg-9 Severity: important Tags: security upstream Forwarded: https://github.com/pytorch/pytorch/issues/142853 X-Debbugs-Cc: [email protected], Debian Security Team <[email protected]>
Hi, The following vulnerability was published for pytorch. CVE-2025-46153[0]: | 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. If you fix the vulnerability please also make sure to include the CVE (Common Vulnerabilities & Exposures) id in your changelog entry. For further information see: [0] https://security-tracker.debian.org/tracker/CVE-2025-46153 https://www.cve.org/CVERecord?id=CVE-2025-46153 [1] https://github.com/pytorch/pytorch/issues/142853 [2] https://github.com/pytorch/pytorch/pull/143460 [3] https://github.com/pytorch/pytorch/commit/288aa873831057b1eb7d747914ec4fdc76c23a80 Please adjust the affected versions in the BTS as needed. Regards, Salvatore
