Home/CVE/PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency wit
CVE

CVE-2025-46153

PyTorch before 3.7.0 has a bernoulli_p decompose function in decompositions.py even though it lacks full consistency wit

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.

MEDIUM · CVSS 5.3 EPSS 0.00099
Monitor
  • No active-exploitation, high-EPSS, or public-exploit signals - routine patching cadence
Sigma rules0 YARA rules0
⬡

Weakness Classification

CWE-1176Inefficient CPU Computation
▤

Affected Products & Versions

1
linuxfoundation pytorch>= 2.6.0 and < 2.7.0
▤

Affected Packages

1
Language-ecosystem packages (from OSV) tied to this CVE, with the version that fixes it - the dependency-level detail NVD doesn’t carry.
PyPI torch fixed in 2.7.0
▣

Scoring & Timeline

5.3
MEDIUM · CVSS v3.1 · cve@mitre.org
View on NVD
Attack Vector
Network Adjacent Local Physical
Attack Complexity
Low High
Privileges Required
None Low High
User Interaction
None Required
Scope
Unchanged Changed
Confidentiality
None Low High
Integrity
None Low High
Availability
None Low High
Published to NVD25 Sep 2025 · 03:16 PM
CVSS VectorCVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
SSVC triage · cisa-vulnrichment
Exploitation
none
Automatable
no
Technical impact
partial
SSVC asks the questions that actually drive patch urgency: is it being exploited, can attacks be automated, and how total is the impact.
⚑

Vendor Advisories

1
msrcCVE-2025-46153
🔗

References & Sources

5
Source URLs (vendor pages, mailing lists, write-ups). Exploit/PoC links are in their own section above to avoid duplication.
https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248aThird Party Advisory
https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28aThird Party Advisory
https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0Product
https://github.com/pytorch/pytorch/issues/142853Issue Tracking
https://github.com/pytorch/pytorch/pull/143460Issue TrackingPatch
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