{"data":{"id":"5eca7994-0d26-4aec-a099-1ca24bfe02c9","title":"CVE-2021-37676: TensorFlow is an end-to-end open source platform for machine learning. In affected versions an attacker can cause undefi","summary":"TensorFlow (an open-source platform for machine learning) has a vulnerability where an attacker can trigger undefined behavior (unpredictable program crashes or malfunctions) by exploiting the `tf.raw_ops.SparseFillEmptyRows` function, which fails to check whether input arguments are empty tensors (multi-dimensional arrays). This flaw exists in the shape inference code, which is responsible for determining the size and structure of data.","solution":"The issue has been patched in GitHub commit 578e634b4f1c1c684d4b4294f9e5281b2133b3ed. The fix will be included in TensorFlow 2.6.0 and will also be back-ported to TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-37676","publishedAt":"2021-08-13T02:15:08.657Z","cveId":"CVE-2021-37676","cweIds":["CWE-824"],"cvssScore":"7.8","cvssSeverity":"high","severity":"high","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":0.00013,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}