{"data":{"id":"c7c7f39f-ff38-42a3-90c4-af8caeeef03b","title":"CVE-2026-46478: Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, Dataset","summary":"Flowise is a visual tool for building customized LLM (large language model) workflows. Before version 3.1.2, it had a mass-assignment vulnerability (a flaw where attackers can modify object properties they shouldn't access) that allowed users to take over dataset rows across different workspaces, with a high severity rating of 7.7.","solution":"This issue has been patched in version 3.1.2. Users should update Flowise to version 3.1.2 or later.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-46478","publishedAt":"2026-06-08T16:16:42.277Z","cveId":"CVE-2026-46478","cweIds":["CWE-915"],"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["supply_chain"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["LangChain"],"affectedVendorsRaw":["Flowise"],"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":"2026-06-08T16:16:42.277Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity","availability"],"aiComponentTargeted":"api","llmSpecific":true,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}