{"data":{"id":"11c565c4-6cce-4ca1-ba70-07ea429c5a26","title":"CVE-2022-23557: Tensorflow is an Open Source Machine Learning Framework. An attacker can craft a TFLite model that would trigger a divis","summary":"TensorFlow, an open-source machine learning framework, has a vulnerability in its TFLite (TensorFlow Lite, a version optimized for mobile devices) model processor where an attacker can create a specially crafted model that causes a division by zero error (attempting to divide a number by zero, which crashes programs) in the `BiasAndClamp` function because the code doesn't check if `bias_size` is zero before using it.","solution":"The fix will be included in TensorFlow 2.8.0. The patch will also be applied to TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2022-23557","publishedAt":"2022-02-05T04:15:13.547Z","cveId":"CVE-2022-23557","cweIds":["CWE-369"],"cvssScore":"6.5","cvssSeverity":"medium","severity":"medium","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":0.0022,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}