{"data":{"id":"7c2618e8-e698-40b3-a64b-329cf2be912c","title":"CVE-2025-23321: NVIDIA Triton Inference Server for Windows and Linux contains a vulnerability where a user could cause a divide by zero ","summary":"NVIDIA Triton Inference Server (software that runs AI models on Windows and Linux computers) contains a vulnerability where a user can send a specially crafted invalid request that causes a divide by zero error (attempting to divide a number by zero, which crashes the system). This could allow an attacker to cause a denial of service attack (making the service unavailable to legitimate users).","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2025-23321","publishedAt":"2025-08-06T17:15:39.787Z","cveId":"CVE-2025-23321","cweIds":["CWE-369"],"cvssScore":"7.5","cvssSeverity":"high","severity":"high","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":0.0012,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":["availability"],"aiComponentTargeted":"inference","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}