{"data":{"id":"7fc5fe57-e543-46e7-94fc-a2c1dc740a17","title":"CVE-2026-79721: Code execution can occur in versions of the MLflow platform running version 0.0.1 or newer, enabling a maliciously craft","summary":"A vulnerability in MLflow (a platform for managing machine learning workflows) versions 0.0.1 and newer allows attackers to run arbitrary code (unrestricted commands) on a user's computer by creating a malicious model artifact (a saved machine learning model file) that executes when someone loads it into their project.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-79721","publishedAt":"2026-09-08T19:19:51.383Z","cveId":"CVE-2026-79721","cweIds":["CWE-829"],"cvssScore":null,"cvssSeverity":null,"severity":"critical","attackType":["model_poisoning"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["MLflow"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0,"patchAvailable":null,"disclosureDate":"2026-09-08T19:19:51.383Z","capecIds":["CAPEC-437"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","confidentiality","availability"],"aiComponentTargeted":"model","llmSpecific":false,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}