{"data":{"id":"d4ceb456-0043-4aef-b331-e10fd246cf34","title":"CVE-2021-29528: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a division by 0 in `tf.ra","summary":"TensorFlow, an open source platform for machine learning, has a vulnerability where an attacker can cause a division by zero error in the `tf.raw_ops.QuantizedMul` function by controlling a value used in a division operation. This crash could disrupt systems using the affected code.","solution":"The fix will be included in TensorFlow 2.5.0. The fix will also be applied to 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-2021-29528","publishedAt":"2021-05-15T00:15:11.893Z","cveId":"CVE-2021-29528","cweIds":["CWE-369","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":0.00015,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}