{"data":{"id":"230e8e5f-cf6b-45ab-81db-19078d201fb4","title":"CVE-2022-35974: TensorFlow is an open source platform for machine learning. If `QuantizeDownAndShrinkRange` is given nonscalar inputs fo","summary":"TensorFlow (an open source machine learning platform) has a bug where a function called `QuantizeDownAndShrinkRange` crashes if it receives nonscalar inputs (arrays or objects with multiple values instead of single values) for certain parameters, allowing attackers to cause a denial of service attack (making the system unavailable).","solution":"The issue has been patched in GitHub commit 73ad1815ebcfeb7c051f9c2f7ab5024380ca8613. The fix will be included in TensorFlow 2.10.0, and will also be backported to TensorFlow 2.9.1, TensorFlow 2.8.1, and TensorFlow 2.7.2.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2022-35974","publishedAt":"2022-09-17T01:15:09.550Z","cveId":"CVE-2022-35974","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":"trivial","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}