{"data":{"id":"6bbdbc29-ef6c-4d8a-afdb-ccc590af0aec","title":"CVE-2023-25665: TensorFlow is an open source platform for machine learning. Prior to versions 2.12.0 and 2.11.1, when `SparseSparseMaxim","summary":"TensorFlow (an open source platform for machine learning) versions before 2.12.0 and 2.11.1 have a bug where the SparseSparseMaximum function crashes with a null pointer error (when the program tries to access memory that doesn't exist) if given invalid sparse tensors (multi-dimensional arrays with mostly empty values) as inputs. This is a stability issue that can cause the program to fail.","solution":"Update to TensorFlow version 2.12.0 or version 2.11.1, which include a fix for this vulnerability.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2023-25665","publishedAt":"2023-03-25T04:15:07.427Z","cveId":"CVE-2023-25665","cweIds":["CWE-476"],"cvssScore":"7.5","cvssSeverity":"high","severity":"high","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":0.00111,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}