{"data":{"id":"9e7938ab-cd6a-4a78-95f9-2ad1d782fb95","title":"CVE-2022-36026: TensorFlow is an open source platform for machine learning. If `QuantizeAndDequantizeV3` is given a nonscalar `num_bits`","summary":"TensorFlow, an open source platform for machine learning, has a vulnerability in its `QuantizeAndDequantizeV3` function where passing a nonscalar `num_bits` input tensor (a multi-dimensional array instead of a single value) causes the program to crash, which can be exploited for a denial of service attack (making a service unavailable by overwhelming or crashing it). The issue affects multiple TensorFlow versions.","solution":"The issue has been patched in GitHub commit f3f9cb38ecfe5a8a703f2c4a8fead434ef291713. The fix will be included in TensorFlow 2.10.0 and will be backported to TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2. No workarounds are available; users should update to these patched versions.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2022-36026","publishedAt":"2022-09-17T02:15:11.953Z","cveId":"CVE-2022-36026","cweIds":["CWE-617"],"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":"trivial","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}