{"data":{"id":"d00dc0ef-153a-4191-87a5-446db15cbd6a","title":"CVE-2026-46477: Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, dataset","summary":"Flowise, a drag-and-drop tool for building customized AI workflows, had a vulnerability before version 3.1.2 that allowed attackers to take over datasets across different workspaces through mass-assignment (a flaw where an attacker can modify object properties that shouldn't be exposed). The vulnerability has a CVSS score (a 0-10 rating of how severe a vulnerability is) of 7.7, indicating it is high severity.","solution":"This issue has been patched in version 3.1.2.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-46477","publishedAt":"2026-06-08T16:16:42.097Z","cveId":"CVE-2026-46477","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":"2026-06-08T16:16:42.097Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"framework","llmSpecific":true,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}