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.

CVE-2025-46153 is fixed in pytorch on 1 platform by DEBIAN-CVE-2025-46153 (version 2.12.0+dfsg2-1), released September 25, 2025. It is not reported as exploited. Patch Radar priority: Routine.

Routine
CVSS
5.3
Moderate
Exploitation
None reported
No vendor assessment
CISA KEV
Not listed
Not in the Known Exploited Vulnerabilities catalog
EPSS
0.0042
36th percentile

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.

Where it's fixed

ProductFixed inFixReleased
Linux
pytorch · Debian 14 2.12.0+dfsg2-1 DEBIAN-CVE-2025-46153 Sep 25, 2025

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