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.

Metrics

No CVSS v4.0

Attack Vector Network

Attack Complexity Low

Privileges Required None

Scope Unchanged

Confidentiality Impact Low

Integrity Impact None

Availability Impact None

User Interaction None

No CVSS v3.0

No CVSS v2

This CVE is not in the KEV list.

Exploitation none

Automatable no

Technical Impact partial

Affected Vendors & Products

Vendors Products
Pytorch
  • Pytorch

No data.

No data.

References
Link Providers
https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a cve-icon cve-icon cve-icon
https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a cve-icon cve-icon cve-icon
https://github.com/pytorch/pytorch/commit/288aa873831057b1eb7d747914ec4fdc76c23a80 cve-icon
https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0 cve-icon cve-icon cve-icon
https://github.com/pytorch/pytorch/issues/142853 cve-icon cve-icon cve-icon
https://github.com/pytorch/pytorch/pull/143460 cve-icon cve-icon cve-icon
https://nvd.nist.gov/vuln/detail/CVE-2025-46153 cve-icon
https://www.cve.org/CVERecord?id=CVE-2025-46153 cve-icon
History

Sat, 27 Sep 2025 00:15:00 +0000

Type Values Removed Values Added
Title torch: PyTorch inconsistent results
Weaknesses CWE-440
References
Metrics threat_severity

None

 threat_severity

Moderate

Fri, 26 Sep 2025 11:45:00 +0000

Type Values Removed Values Added
First Time appeared Pytorch
Pytorch pytorch
Vendors & Products Pytorch
Pytorch pytorch

Thu, 25 Sep 2025 19:15:00 +0000

Type Values Removed Values Added
Weaknesses CWE-1176
Metrics cvssV3_1

{'score': 5.3, 'vector': 'CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N'}

ssvc

{'options': {'Automatable': 'no', 'Exploitation': 'none', 'Technical Impact': 'partial'}, 'version': '2.0.3'}

Thu, 25 Sep 2025 14:30:00 +0000

Type Values Removed Values Added
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.
References
cve-icon MITRE

Status: PUBLISHED

Assigner: mitre

Published:

Updated: 2025-09-25T18:33:13.153Z

Reserved: 2025-04-22T00:00:00.000Z

Link: CVE-2025-46153

cve-icon Vulnrichment

Updated: 2025-09-25T18:32:30.058Z

cve-icon NVD

Status : Awaiting Analysis

Published: 2025-09-25T15:16:12.603

Modified: 2025-09-26T14:32:53.583

Link: CVE-2025-46153

cve-icon Redhat

Severity : Moderate

Publid Date: 2025-09-25T00:00:00Z

Links: CVE-2025-46153 - Bugzilla