{"data":{"id":"38cdbce8-f531-4ad6-8696-30ce1793fb4b","title":"CVE-2025-23335: NVIDIA Triton Inference Server for Windows and Linux and the Tensor RT backend contain a vulnerability where an attacker","summary":"CVE-2025-23335 is a vulnerability in NVIDIA Triton Inference Server (a tool that runs AI models on servers) for Windows and Linux where an attacker could trigger an integer underflow (a math error where a number wraps around to a very large value) using a specially crafted model setup and input, potentially causing a denial of service (making the system crash or become unavailable).","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-23335","publishedAt":"2025-08-06T17:15:41.297Z","cveId":"CVE-2025-23335","cweIds":["CWE-191"],"cvssScore":"4.4","cvssSeverity":"medium","severity":"medium","attackType":["denial_of_service"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["NVIDIA"],"affectedVendorsRaw":["NVIDIA Triton Inference Server","NVIDIA TensorRT"],"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":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["availability"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}