{"data":{"id":"4e0bd950-f01e-4da1-8032-a2df8c7678c7","title":"CVE-2026-43995: Flowise is a drag & drop user interface to build a customized large language model flow. Prior to 3.1.0, multiple tool i","summary":"Flowise, a tool for building customized AI workflows through a visual interface, has a vulnerability in versions before 3.1.0 where four specific tools bypass security protections by directly using raw HTTP clients (tools for making web requests) instead of using a secured wrapper. This could allow attackers with login credentials to make unauthorized server requests (SSRF, or server-side request forgery).","solution":"Update Flowise to version 3.1.0 or later, where this vulnerability is fixed.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-43995","publishedAt":"2026-05-11T18:16:37.660Z","cveId":"CVE-2026-43995","cweIds":["CWE-918"],"cvssScore":null,"cvssSeverity":null,"severity":"medium","attackType":["rag_poisoning"],"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":"2026-05-11T18:16:37.660Z","capecIds":["CAPEC-664"],"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"rag","llmSpecific":true,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}