{"data":{"id":"196cd31e-beff-4a1d-a5c3-72e50168a683","title":"CVE-2021-29546: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger an integer division by ze","summary":"TensorFlow, an open source platform for machine learning, has a vulnerability where an attacker can cause an integer division by zero (a crash caused by dividing by zero) in the `tf.raw_ops.QuantizedBiasAdd` function. The bug occurs because the code divides by the number of elements in an input without first checking that this number is not zero.","solution":"The fix will be included in TensorFlow 2.5.0. It will also be backported (applied to older versions) in TensorFlow 2.4.2, 2.3.3, 2.2.3, and 2.1.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-29546","publishedAt":"2021-05-15T00:15:12.717Z","cveId":"CVE-2021-29546","cweIds":["CWE-369"],"cvssScore":"2.5","cvssSeverity":"low","severity":"low","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":0.00017,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}