{"data":{"id":"cc53ceaa-05dd-47b1-87c0-abc3d05ad75c","title":"CVE-2021-37651: TensorFlow is an end-to-end open source platform for machine learning. In affected versions the implementation for `tf.r","summary":"TensorFlow, a machine learning platform, has a vulnerability in the `tf.raw_ops.FractionalAvgPoolGrad` function where it can access memory outside the bounds of allocated buffers (a buffer overflow, where a program reads from memory it shouldn't access) when given an empty input. The function fails to check whether the input is empty before trying to read from it.","solution":"The issue was patched in GitHub commit 0f931751fb20f565c4e94aa6df58d54a003cdb30. The fix will be included in TensorFlow 2.6.0, and will also be applied to TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-37651","publishedAt":"2021-08-13T01:15:08.170Z","cveId":"CVE-2021-37651","cweIds":["CWE-125","CWE-787"],"cvssScore":"7.1","cvssSeverity":"high","severity":"high","attackType":["other"],"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":0.00012,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-100","CAPEC-540"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}