CVE-2025-46153: pytorch — Fix

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.

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CVSS v3.1 Score

5.3

MEDIUM

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

Weakness Type (CWE)

CWE-1176 CWE-1176

Affected Products

Vendor	Product	Versions
linuxfoundation	pytorch	2.6.0 — 2.7.0

References

Advisories & Patches

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

Other References

https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0 https://github.com/pytorch/pytorch/issues/142853

Frequently Asked Questions

What is CVE-2025-46153? +

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. It has a CVSS v3.1 base score of 5.3 (MEDIUM).

How severe is CVE-2025-46153? +

CVE-2025-46153 has a CVSS v3.1 score of 5.3 out of 10, rated MEDIUM. This is a medium-severity vulnerability that should be remediated as part of regular maintenance.

What products are affected by CVE-2025-46153? +

CVE-2025-46153 affects products from linuxfoundation, specifically: pytorch. Check the affected products table above for specific version ranges.

How do I check if I'm vulnerable to CVE-2025-46153? +

You can use Secably's free Website Scanner to check your website for known vulnerabilities. For infrastructure scanning, use the Port Scanner to identify exposed services that may be affected. Check the vendor advisories linked above for specific patch and version information.

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