{"data":{"id":"cdcc62cc-6409-40ff-98d2-03c55e97f3d8","title":"CVE-2021-29573: TensorFlow is an end-to-end open source platform for machine learning. The implementation of `tf.raw_ops.MaxPoolGradWith","summary":"TensorFlow, an open-source platform for machine learning, has a vulnerability in the `tf.raw_ops.MaxPoolGradWithArgmax` function where it divides by a batch dimension (a count of data samples) without first checking that the number is not zero. This can cause a division by zero error, which crashes the program or causes unexpected behavior.","solution":"The fix will be included in TensorFlow 2.5.0. The vulnerability will also be patched in earlier versions: TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-29573","publishedAt":"2021-05-15T00:15:13.970Z","cveId":"CVE-2021-29573","cweIds":["CWE-369","CWE-369"],"cvssScore":"2.5","cvssSeverity":"low","severity":"low","attackType":[],"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":0.00015,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}