{"data":{"id":"54ef47bf-822d-4a71-8eb5-2edc6b8ebd3a","title":"CVE-2022-21741: Tensorflow is an Open Source Machine Learning Framework. ### Impact An attacker can craft a TFLite model that would trig","summary":"A vulnerability in TensorFlow (an open-source machine learning framework) allows an attacker to create a malicious TFLite model (TensorFlow Lite, a lightweight version of TensorFlow) that causes a division by zero error in depthwise convolutions (a type of neural network operation). The bug occurs because the code divides by a user-controlled parameter without first checking that it is positive.","solution":"The fix will be included in TensorFlow 2.8.0. It will also be cherry-picked (applied as a patch) to TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2022-21741","publishedAt":"2022-02-03T20:15:08.077Z","cveId":"CVE-2022-21741","cweIds":["CWE-369","CWE-369"],"cvssScore":"6.5","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":0.00232,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}