{"data":{"id":"d58dd135-0eed-496a-b51e-bb1241b4b006","title":"CVE-2021-41197: TensorFlow is an open source platform for machine learning. In affected versions TensorFlow allows tensor to have a larg","summary":"TensorFlow (an open source machine learning platform) has a vulnerability where tensors (multi-dimensional arrays of numbers) with very large dimensions can cause an integer overflow (when a calculation produces a number too big to store), resulting in a crash or inconsistent behavior. The vulnerability occurs because the code checks for overflow incorrectly in some parts of the codebase.","solution":"The fix will be included in TensorFlow 2.7.0. Users of affected versions should update to TensorFlow 2.7.0, or apply cherrypicked patches available for TensorFlow 2.6.1, TensorFlow 2.5.2, and TensorFlow 2.4.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-41197","publishedAt":"2021-11-06T00:15:07.843Z","cveId":"CVE-2021-41197","cweIds":["CWE-190","CWE-190"],"cvssScore":"5.5","cvssSeverity":"medium","severity":"medium","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["TensorFlow"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00022,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability","integrity"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}