{"data":{"id":"3a937e5e-8a4d-47b6-a3d4-e6c1237352a3","title":"CVE-2021-29589: TensorFlow is an end-to-end open source platform for machine learning. The reference implementation of the `GatherNd` TF","summary":"TensorFlow, an open source machine learning platform, has a vulnerability in its GatherNd operator (a function that gathers data from a tensor, or multi-dimensional array) where an attacker can cause a division by zero error (a crash caused by dividing by zero) by crafting a malicious model with an empty input. This could allow an attacker to crash or disrupt applications using this operator.","solution":"The fix will be included in TensorFlow 2.5.0. TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4 will also receive this fix through a cherrypick (applying the same fix to older supported versions).","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-29589","publishedAt":"2021-05-15T00:15:14.770Z","cveId":"CVE-2021-29589","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":0.00017,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}