{"data":{"id":"a248a356-f608-4d84-80e0-803d3447081d","title":"CVE-2018-10055: Invalid memory access and/or a heap buffer overflow in the TensorFlow XLA compiler in Google TensorFlow before 1.7.1 cou","summary":"CVE-2018-10055 is a vulnerability in TensorFlow (a machine learning framework) versions before 1.7.1 where the XLA compiler (a tool that optimizes machine learning code) has a memory access bug that could crash the program or allow reading data from other parts of the computer's memory when processing a specially crafted configuration file.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2018-10055","publishedAt":"2019-04-24T21:29:00.270Z","cveId":"CVE-2018-10055","cweIds":["CWE-119"],"cvssScore":"5.8","cvssSeverity":null,"severity":"medium","attackType":[],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["Google"],"affectedVendorsRaw":["Google TensorFlow"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00174,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-100"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}