{"data":{"id":"dac6c5e0-58ff-43ab-9272-6bae805b8102","title":"CVE-2021-37664: TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can read from ou","summary":"TensorFlow (an open-source platform for machine learning) has a vulnerability where an attacker can read data from outside the intended memory area by sending specially crafted invalid arguments to a specific function called `BoostedTreesSparseCalculateBestFeatureSplit`. The problem occurs because the code doesn't properly check that input values are within valid ranges.","solution":"The issue was patched in GitHub commit e84c975313e8e8e38bb2ea118196369c45c51378. The fix is included in TensorFlow 2.6.0 and will be backported (applied retroactively) to TensorFlow 2.5.1, 2.4.3, and 2.3.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-37664","publishedAt":"2021-08-13T01:15:09.067Z","cveId":"CVE-2021-37664","cweIds":["CWE-125"],"cvssScore":"7.3","cvssSeverity":"high","severity":"high","attackType":["data_extraction"],"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":0.00014,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-540"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}