{"data":{"id":"1cf5c352-68fe-4032-b253-0a3e1add7539","title":"CVE-2021-37677: TensorFlow is an end-to-end open source platform for machine learning. In affected versions the shape inference code for","summary":"TensorFlow, an open-source machine learning platform, has a vulnerability in its shape inference code for the `tf.raw_ops.Dequantize` function that could crash a system (denial of service via segfault, which is when a program crashes due to accessing invalid memory) if an attacker provides invalid arguments. The bug exists because the code doesn't properly validate the `axis` parameter before using it to access tensor dimensions (the size measurements of data structures in machine learning).","solution":"The issue has been patched in GitHub commit da857cfa0fde8f79ad0afdbc94e88b5d4bbec764. The fix is included in TensorFlow 2.6.0 and will be backported to TensorFlow 2.5.1, TensorFlow 2.4.3, and TensorFlow 2.3.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-37677","publishedAt":"2021-08-13T03:15:08.090Z","cveId":"CVE-2021-37677","cweIds":["CWE-20","CWE-1284"],"cvssScore":"5.5","cvssSeverity":"medium","severity":"medium","attackType":["denial_of_service"],"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":0.00009,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}