{"data":{"id":"b5308b0c-82f5-4c71-b45d-1efefd9005e7","title":"CVE-2021-37687: TensorFlow is an end-to-end open source platform for machine learning. In affected versions TFLite's [`GatherNd` impleme","summary":"TensorFlow Lite (TFLite, a lightweight version of TensorFlow for mobile and embedded devices) has a vulnerability in its `GatherNd` and `Gather` operations that fail to check for negative indices. An attacker can exploit this by creating a specially designed model with negative values to read sensitive data from the heap (temporary memory storage), potentially exposing private information.","solution":"The issue was patched in GitHub commits bb6a0383ed553c286f87ca88c207f6774d5c4a8f and eb921122119a6b6e470ee98b89e65d721663179d. The fix is included in TensorFlow 2.6.0 and will be backported to TensorFlow 2.5.1, 2.4.3, and 2.3.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-37687","publishedAt":"2021-08-13T03:15:08.773Z","cveId":"CVE-2021-37687","cweIds":["CWE-125"],"cvssScore":"5.5","cvssSeverity":"medium","severity":"medium","attackType":["data_extraction"],"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":0.00044,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-540"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}