{"data":{"id":"484a6af5-790e-4ef6-8251-f852dd712478","title":"CVE-2021-37646: TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation of `tf.ra","summary":"TensorFlow (an open-source machine learning platform) has a vulnerability in the `tf.raw_ops.StringNGrams` function where negative input values cause an integer overflow (a bug where a number wraps around to an unexpectedly large value). When a negative value is converted to an unsigned integer (a number that can only be positive) for memory allocation, it becomes a very large number, potentially causing the program to crash or behave unexpectedly.","solution":"The issue is patched in GitHub commit c283e542a3f422420cfdb332414543b62fc4e4a5. The fix will be included in TensorFlow 2.6.0 and will also be cherry-picked (applied to older supported versions) in TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-37646","publishedAt":"2021-08-13T01:15:07.983Z","cveId":"CVE-2021-37646","cweIds":["CWE-681"],"cvssScore":"5.5","cvssSeverity":"medium","severity":"medium","attackType":["other"],"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":0.00012,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability","integrity"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}