{"data":{"id":"44d671b1-820f-433d-a355-7223bac2ddb4","title":"CVE-2026-46443: Flowise is a drag & drop user interface to build a customized large language model flow. Prior to version 3.1.2, when cr","summary":"Flowise is a tool with a drag-and-drop interface for building customized workflows with large language models (LLMs, AI systems trained on massive amounts of text). Before version 3.1.2, the software had a bug where sensitive encrypted credential data was being exposed in API responses when users filtered credentials by name, even though the same data was properly hidden when no filter was used. This is a high-severity security issue because it could allow someone with basic access to view encrypted passwords or API keys they shouldn't see.","solution":"Update Flowise to version 3.1.2 or later, where this issue has been patched.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-46443","publishedAt":"2026-06-08T16:16:41.493Z","cveId":"CVE-2026-46443","cweIds":["CWE-200"],"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["data_extraction"],"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":"2026-06-08T16:16:41.493Z","capecIds":["CAPEC-116"],"crossRefCount":0,"attackSophistication":"trivial","impactType":["confidentiality"],"aiComponentTargeted":"api","llmSpecific":true,"classifierConfidence":0.92,"researchCategory":null,"atlasIds":null}}