CVE-2025-46153

MEDIUM EPSS 30.9%
Published Sep 25, 20259mo ago · Modified Jun 17, 20262w ago
5.3 CVSS 3.1
Medium
Find Similar
Published Sep 25, 2025 9mo ago
Last Modified Jun 17, 2026 2w ago

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 Details

Base Score
5.3
Exploitability
3.9
Impact
1.4
Vector string
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Attack Vector Network
Attack Complexity Low
Privileges Required None
User Interaction None
Scope Unchanged
Confidentiality Low
Integrity None
Availability None

Threat Intelligence

EPSS Exploit Probability
30.9% percentile
Exploit & Patch Status
No Known Exploit
Patch Available

Weaknesses 1

CWE-1176

Affected Products 1

VendorProductVersionRange
linuxfoundationpytorch*≥2.6.0  –  <2.7.0

References 5

  • gist.github.com https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a
    Third Party Advisory
  • gist.github.com https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a
    Third Party Advisory
  • github.com https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0
    Product
  • github.com https://github.com/pytorch/pytorch/issues/142853
    Issue Tracking
  • github.com https://github.com/pytorch/pytorch/pull/143460
    Issue TrackingPatch

Remediation

  • github.com https://github.com/pytorch/pytorch/pull/143460
    Issue TrackingPatch