{"data":{"id":"6033de0f-3155-475d-9eab-8f3f36bccef5","title":"CVE-2020-15203: In Tensorflow before versions 1.15.4, 2.0.3, 2.1.2, 2.2.1 and 2.3.1, by controlling the `fill` argument of tf.strings.as","summary":"TensorFlow versions before 1.15.4, 2.0.3, 2.1.2, 2.2.1, and 2.3.1 contain a format string vulnerability (a bug where attackers can manipulate how data is printed to cause crashes) in the tf.strings.as_string function. By controlling the `fill` argument, an attacker can trigger a segmentation fault (a crash caused by accessing invalid memory).","solution":"Update TensorFlow to version 1.15.4, 2.0.3, 2.1.2, 2.2.1, or 2.3.1 or later. The issue is patched in commit 33be22c65d86256e6826666662e40dbdfe70ee83.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2020-15203","publishedAt":"2020-09-25T23:15:15.620Z","cveId":"CVE-2020-15203","cweIds":["CWE-20","CWE-134"],"cvssScore":"7.5","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":0.0036,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}