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.
CVSS Metrics
- Vector
- CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
- Attack Vector
- network
- Complexity
- low
- Privileges
- none
- User Action
- none
- Scope
- unchanged
- Confidentiality
- low
- Integrity
- none
- Availability
- none
- Weaknesses
- CWE-1176
Metadata
- Primary Vendor
- LINUXFOUNDATION
- Published
- 9/25/2025
- Last Modified
- 10/3/2025
- Source
- NIST NVD
- Note: Verify all details with official vendor sources before applying patches.
Affected Products
linuxfoundation : pytorch
AI-Powered Remediation
Generate remediation guidance or a C-suite brief for this vulnerability.