{"data":{"id":"14eb8d91-a3a9-40ea-9e2f-11f3f06f4839","title":"CVE-2021-29594: TensorFlow is an end-to-end open source platform for machine learning. TFLite's convolution code(https://github.com/tens","summary":"TensorFlow's TFLite (a lightweight version of the machine learning platform) has a bug in its convolution code (math operations that process image data) where user-controlled values can be used as divisors without checking if they're zero, which could cause crashes or unexpected behavior. This happens because division by zero is not prevented in the code.","solution":"The fix will be included in TensorFlow 2.5.0. The fix will also be backported (applied to older versions still being supported) 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-2021-29594","publishedAt":"2021-05-15T00:15:15.160Z","cveId":"CVE-2021-29594","cweIds":["CWE-369"],"cvssScore":"2.5","cvssSeverity":"low","severity":"low","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["TensorFlow","TFLite"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00017,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":["availability"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}