CVE-2025-46153

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{"bugzilla": {"description": "torch: PyTorch inconsistent results", "id": "2398183", "url": "https://bugzilla.redhat.com/show_bug.cgi?id=2398183"}, "csaw": false, "cvss3": {"cvss3_base_score": "4.0", "cvss3_scoring_vector": "CVSS:3.1/AV:L/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:N", "status": "draft"}, "cwe": "CWE-440", "details": ["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."], "mitigation": {"lang": "en:us", "value": "Mitigation for this issue is either not available or the currently available options do not meet the Red Hat Product Security criteria comprising ease of use and deployment, applicability to widespread installation base or stability."}, "name": "CVE-2025-46153", "package_state": [{"cpe": "cpe:/a:redhat:openshift_lightspeed", "fix_state": "Fix deferred", "package_name": 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AI)"}, {"cpe": "cpe:/a:redhat:enterprise_linux_ai:1", "fix_state": "Fix deferred", "package_name": "rhelai1/instructlab-nvidia-rhel9", "product_name": "Red Hat Enterprise Linux AI (RHEL AI)"}, {"cpe": "cpe:/a:redhat:openshift_ai", "fix_state": "Fix deferred", "package_name": "rhoai/odh-llama-stack-core-rhel9", "product_name": "Red Hat OpenShift AI (RHOAI)"}], "public_date": "2025-09-25T00:00:00Z", "references": ["https://www.cve.org/CVERecord?id=CVE-2025-46153\nhttps://nvd.nist.gov/vuln/detail/CVE-2025-46153\nhttps://gist.github.com/shaoyuyoung/4bcefba4004f8271e64b5185c95a248a\nhttps://gist.github.com/shaoyuyoung/e636f2e7a306105b7e96809e2b85c28a\nhttps://github.com/pytorch/pytorch/commit/288aa873831057b1eb7d747914ec4fdc76c23a80\nhttps://github.com/pytorch/pytorch/compare/v2.6.0...v2.7.0\nhttps://github.com/pytorch/pytorch/issues/142853\nhttps://github.com/pytorch/pytorch/pull/143460"], "threat_severity": "Moderate"}

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