{"data":{"id":"749277fa-b846-4e6a-bd1e-ad115859d82e","title":"CVE-2021-29527: 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 machine learning platform, has a vulnerability where an attacker can cause a division by zero error (crashing the program by dividing by zero) in the `tf.raw_ops.QuantizedConv2D` function by controlling a value that the code divides by. This happens because the code doesn't check if that value is zero before using it in math.","solution":"The fix will be included in TensorFlow 2.5.0. The vulnerability is also being 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-2021-29527","publishedAt":"2021-05-15T00:15:11.850Z","cveId":"CVE-2021-29527","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":0.00015,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}