{"data":{"id":"9ff7aa46-af7f-4f0b-bd02-7301f3225b45","title":"CVE-2021-29550: TensorFlow is an end-to-end open source platform for machine learning. An attacker can cause a runtime division by zero ","summary":"TensorFlow has a vulnerability in the `FractionalAvgPool` operation where an attacker can provide specially crafted input values to cause a division by zero error (a crash caused by dividing by zero), leading to denial of service (making the system unavailable). The bug happens because user-controlled values aren't properly validated before being used in mathematical operations, allowing the computed output size to become zero.","solution":"The fix will be included in TensorFlow 2.5.0 and will be cherry-picked (back-ported) 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-2021-29550","publishedAt":"2021-05-15T00:15:12.897Z","cveId":"CVE-2021-29550","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}}