🛡️ CVE-2025-46153 — pytorch

🟡 CVSS 5.0 — Medium ✅ No Known Exploit CWE-1176 OSV

5.0

CVSS Score

0 Low4 Medium7 High9 Critical10

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.

How this vulnerability can be exploited

This issue can be reached over the network, attack complexity is low, an attacker needs no privileges on the target. No user interaction is required. The scope is unchanged, so the impact stays within the vulnerable component. Rated impact: confidentiality low, integrity none, availability none.

Weakness class

CVE-2025-46153 is classified as CWE-1176: Inefficient CPU Computation. The product performs CPU computations using algorithms that are not as efficient as they could be for the needs of the developer, i.e., the computations can be optimized further.

Affected software

CVE-2025-46153 is recorded against 2 packages.

pytorch
torch (from 2.6.0 up to 2.7.0)

Timeline and source

Published on 5 October 2025 and last revised on 17 June 2026. No public exploit is currently recorded for this entry. A vendor advisory or fix has been published. Record sourced from OSV.

References

gist.github.com (Web)
gist.github.com (Web)
github.com (Web)
github.com (Web)
github.com (Web)
nvd.nist.gov (Web)

CVE-2025-46153 on other distributions

Each distribution ships its own build and its own fixed version. Pick the one you run:

Debian Ubuntu

Details

Severity MEDIUM

CVSS Score 5.0

CVSS Vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

CWE CWE-1176

Public Exploit ✅ No

Source OSV

Published 2025-10-05

Updated 2026-08-12

Modified 2026-06-17

Fix URL https://github.com/pytorch/pytorch/pull/143460

Affected Packages

Software	From version	Fixed in
pytorch	—	—
torch	2.6.0	2.7.0

References

WEB https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a

WEB https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a

WEB https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0

WEB https://github.com/pytorch/pytorch/issues/142853

WEB https://github.com/pytorch/pytorch/pull/143460

WEB https://nvd.nist.gov/vuln/detail/CVE-2025-46153

🔗 NVD 🔗 Mitre ✅ Fix / Advisory

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