{"data":{"id":"595c6842-d5d7-4f65-afa7-2744a51f887a","title":"CVE-2025-55559: An issue was discovered TensorFlow v2.18.0. A Denial of Service (DoS) occurs when padding is set to 'valid' in tf.keras.","summary":"CVE-2025-55559 is a vulnerability in TensorFlow v2.18.0 where setting the padding parameter to 'valid' in tf.keras.layers.Conv2D (a layer used in neural networks for image processing) causes a Denial of Service (DoS, where a system becomes unavailable to users). The vulnerability is classified as uncontrolled resource consumption, meaning the system uses up resources like memory or CPU in an uncontrolled way.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-55559","publishedAt":"2025-09-25T20:15:35.077Z","cveId":"CVE-2025-55559","cweIds":["CWE-400"],"cvssScore":"7.5","cvssSeverity":"high","severity":"high","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["TensorFlow v2.18.0"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00061,"patchAvailable":null,"disclosureDate":null,"capecIds":["CAPEC-125","CAPEC-130"],"crossRefCount":0,"attackSophistication":"trivial","impactType":["availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}