{"cve":"CVE-2025-46153","nvd":{"published":"2025-09-25T15:16:12.603","modified":"2026-06-17T09:25:58.960","status":"Analyzed","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_v4":null,"cvss_v3":{"version":"3.1","vector":"CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N","score":5.3},"cwes":["CWE-1176"],"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","https://github.com/pytorch/pytorch/pull/143460"],"products":["linuxfoundation:pytorch"],"source":"nvd","synced_at":"2026-10-19T22:10:08.713834912+00:00"},"epss":{"cve":"CVE-2025-46153","score":0.00419,"percentile":0.36226,"date":"2026-10-31"},"kev":null,"osv":[{"id":"PYSEC-2025-202","url":"https://osv.dev/vulnerability/PYSEC-2025-202","summary":"","modified":"2026-05-20T09:19:19.678555Z","packages":[{"ecosystem":"PyPI","name":"torch","purl":"pkg:pypi/torch","ranges":[">=2.6.0 <2.7.0"],"fixed":["2.7.0"]}]}],"attribution":["This product uses the NVD API but is not endorsed or certified by the NVD.","EPSS scores: FIRST Exploit Prediction Scoring System, https://www.first.org/epss","Known exploited vulnerabilities: CISA Known Exploited Vulnerabilities Catalog, https://www.cisa.gov/known-exploited-vulnerabilities-catalog","Package advisories: OSV (https://osv.dev), from the GitHub Advisory Database, PyPA, Go, RustSec and other ecosystem databases, under CC-BY 4.0 or CC0","CVE records: the CVE Program's CVE List (https://www.cve.org), under its terms of use (https://www.cve.org/Legal/TermsOfUse). CVE is a registered trademark of The MITRE Corporation; this product is not affiliated with the CVE Program."]}