{"data":{"id":"088f1abc-e13c-40eb-b1c5-d3dd14ffc998","title":"CVE-2021-29544: TensorFlow is an end-to-end open source platform for machine learning. An attacker can trigger a denial of service via a","summary":"TensorFlow has a vulnerability where an attacker can crash the system (a denial of service, or DoS attack) by sending specially crafted data to a specific function called `tf.raw_ops.QuantizeAndDequantizeV4Grad`. The bug happens because the function doesn't check that its input data (called tensors, which are multi-dimensional arrays) has the correct structure, causing the program to fail when it tries to process them.","solution":"The fix will be included in TensorFlow 2.5.0. The fix will also be applied to TensorFlow 2.4.2, which is the only other affected version.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-29544","publishedAt":"2021-05-15T00:15:12.623Z","cveId":"CVE-2021-29544","cweIds":["CWE-754"],"cvssScore":"2.5","cvssSeverity":"low","severity":"low","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":0.00067,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}