{"data":{"id":"69f10b38-9ab5-4941-94f1-800553729c05","title":"CVE-2022-23595: Tensorflow is an Open Source Machine Learning Framework. When building an XLA compilation cache, if default settings are","summary":"TensorFlow (an open source machine learning framework) has a vulnerability where building an XLA compilation cache (a storage system that speeds up machine learning model compilation) with default settings causes a null pointer dereference (a crash that happens when code tries to use a memory location that doesn't exist). This occurs because the default configuration allows all devices, leaving a critical variable empty.","solution":"The fix will be included in TensorFlow 2.8.0. Patches will also be released in TensorFlow 2.7.1, TensorFlow 2.6.3, and TensorFlow 2.5.3.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2022-23595","publishedAt":"2022-02-05T04:15:15.460Z","cveId":"CVE-2022-23595","cweIds":["CWE-476"],"cvssScore":"5.3","cvssSeverity":"medium","severity":"medium","attackType":[],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["NVIDIA"],"affectedVendorsRaw":["TensorFlow"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00221,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}