{“lastseen”:””,”description”:”Flowise is a drag \\u0026 drop user interface to build a customized large language model flow. Prior to 3.1.0, a Server-Side Request Forgery (SSRF) protection bypass vulnerability exists in the Custom Function feature. While the application implements SSRF protection via HTTP_DENY_LIST for axios and node-fetch libraries, the built-in Node.js http, https, and net modules are allowed in the NodeVM sandbox without equivalent protection. This allows authenticated users to bypass SSRF controls and access internal network resources (e.g., cloud provider metadata services) This vulnerability is fixed in 3.1.0.”,”published”:”2026-04-23T19:15:14.984Z”,”modified”:”2026-04-23T19:16:46.038Z”,”type”:”cve”,”title”:”Flowise: SSRF Protection Bypass via Unprotected Built-in HTTP Modules in Custom Function Sandbox”,”source”:”GitHub_M”,”references”:”https:\/\/github.com\/FlowiseAI\/Flowise\/security\/advisories\/GHSA-xhmj-rg95-44hv”,”id”:”CVE-2026-41270″,”bulletinFamily”:””,”cwe”:[“CWE-284″,”CWE-918″],”cvelist”:null,”sourceData”:”FlowiseAI Flowise \\u003c 3.1.0\\nFlowiseAI flowise-components \\u003c 3.1.0″,”sourceHref”:””,”cvss”:{“score”:7.1,”severity”:”HIGH”,”vector”:”CVSS:3.1\/AV:N\/AC:H\/PR:L\/UI:N\/S:U\/C:H\/I:H\/A:L”,”version”:”3.1″},”cvss2″:{},”cvss3″:{“version”:””,”vectorString”:””,”baseScore”:0,”baseSeverity”:””,”attackVector”:””,”attackComplexity”:””,”privilegesRequired”:””,”userInteraction”:””,”scope”:””,”confidentialityImpact”:””,”integrityImpact”:””,”availabilityImpact”:””,”cvssV3″:{“version”:””,”vectorString”:””,”baseScore”:0,”baseSeverity”:””,”attackVector”:””,”attackComplexity”:””,”privilegesRequired”:””,”userInteraction”:””,”scope”:””,”confidentialityImpact”:””,”integrityImpact”:””,”availabilityImpact”:””}},”href”:””,”category_name”:”CVE”,”post_link”:””,”product”:”Flowise”,”version”:”\\u003c 3.1.0″,”vendor”:”FlowiseAI”,”ai_description”:””,”ai_severity”:””,”ai_vendor”:””,”ai_product”:””,”ai_version”:””,”ai_score”:0}<\/p>\n","protected":false},"excerpt":{"rendered":"
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