{"action":"Upgrade torch to 2.7.0 or later.","affected":[{"fixed":"2.7.0","introduced":"2.6.0"}],"component":"torch","cve_ids":["CVE-2025-46153"],"ecosystem":"PyPI","epss":0.00419,"exploited":false,"fixed_versions":["2.7.0"],"id":"tcs_01M5KGP5WTXGWCKWNXYFFHGK60","modified_at":"2026-05-20T09:19:19.678555Z","published_at":"2025-09-25T15:16:12.603Z","references":["https://osv.dev/vulnerability/PYSEC-2025-202","https://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0","https://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a","https://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a","https://github.com/pytorch/pytorch/issues/142853","https://github.com/pytorch/pytorch/pull/143460"],"severity":{"label":"medium","score":5.3},"sources":[{"source":"osv","source_id":"PYSEC-2025-202","url":"https://osv.dev/vulnerability/PYSEC-2025-202"}],"summary":"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,"}