MEDIUM 5.3 Microsoft
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.
Microsoft Security Update 2025-Sep: 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.
Affected Products
- azl3 pytorch 2.2.2-7 on Azure Linux 3.0
- cbl2 pytorch 2.0.0-9 on CBL Mariner 2.0
References
- https://msrc.microsoft.com/update-guide/vulnerability/CVE-2025-46153
- https://nvd.nist.gov/vuln/detail/CVE-2025-46153
This medium severity vulnerability with a CVSS score of 5.3 was published on 2025-09-09 via Microsoft. Affected: azl3 pytorch 2.2.2-7 on Azure Linux 3.0, cbl2 pytorch 2.0.0-9 on CBL Mariner 2.0.
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