{"data":{"id":"cfbe52f7-585d-4f12-a5b3-295244de6b1c","title":"CVE-2022-35972: TensorFlow is an open source platform for machine learning. If `QuantizedBiasAdd` is given `min_input`, `max_input`, `mi","summary":"TensorFlow, an open source machine learning platform, has a vulnerability in its `QuantizedBiasAdd` function that crashes when given certain tensor inputs of nonzero rank (multi-dimensional arrays), allowing attackers to launch a denial of service attack (making the system unavailable). The developers have identified and patched the issue.","solution":"The fix is included in TensorFlow 2.10.0 and will also be backported to TensorFlow 2.9.1, 2.8.1, and 2.7.2. Users should update to one of these patched versions.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2022-35972","publishedAt":"2022-09-17T01:15:09.427Z","cveId":"CVE-2022-35972","cweIds":["CWE-20"],"cvssScore":"5.9","cvssSeverity":"medium","severity":"medium","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":0.00061,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}