{"data":{"id":"f5715233-8597-45cc-8666-4826f6ef858e","title":"CVE-2021-29601: TensorFlow is an end-to-end open source platform for machine learning. The TFLite implementation of concatenation is vul","summary":"TensorFlow's TFLite (a lightweight version for mobile and embedded devices) has a bug where it can experience an integer overflow (when a number gets too large to fit in its assigned storage space) in the concatenation operation (combining multiple data arrays into one). An attacker could create a malicious machine learning model that exploits this by making dimension values too large, and this problem can occur when converting regular TensorFlow models to the TFLite format.","solution":"The fix will be included in TensorFlow 2.5.0. It will also be backported (applied to older versions still being supported) to TensorFlow 2.4.2, TensorFlow 2.3.3, TensorFlow 2.2.3, and TensorFlow 2.1.4.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2021-29601","publishedAt":"2021-05-15T00:15:15.487Z","cveId":"CVE-2021-29601","cweIds":["CWE-190"],"cvssScore":"6.3","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":0.00015,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}