{"data":{"id":"c4127efc-e5dd-4ca9-bc63-71bd1003e79f","title":"CVE-2024-53880: NVIDIA Triton Inference Server contains a vulnerability in the model loading API, where a user could cause an integer ov","summary":"NVIDIA Triton Inference Server has a vulnerability where loading a model with an extremely large file size causes an integer overflow or wraparound error (a type of bug where a number gets too big for its storage space and wraps around to an incorrect value), potentially causing a denial of service (making the system unavailable). The vulnerability exists in the model loading API (the interface used to load AI models into the server).","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2024-53880","publishedAt":"2025-02-12T06:15:08.940Z","cveId":"CVE-2024-53880","cweIds":["CWE-190"],"cvssScore":"4.9","cvssSeverity":"medium","severity":"medium","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["NVIDIA"],"affectedVendorsRaw":["NVIDIA Triton Inference Server"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00045,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}