{"data":{"id":"a56046fe-0bc2-4e81-977e-445ebc95f647","title":"GHSA-wg4g-395p-mqv3: n8n-MCP: Sensitive MCP tool-call arguments logged on authenticated requests in HTTP mode","summary":"n8n-mcp (a tool for connecting AI systems to external services) was logging sensitive information like passwords and API keys when running in HTTP mode (a way to communicate over the internet). When authenticated users made requests to call tools, their secret credentials were written to server logs before being hidden, which could expose them if logs were shared or accessed by unauthorized people. The issue only affected HTTP mode and required authentication, so it couldn't be exploited by random internet users.","solution":"Upgrade to n8n-mcp v2.47.13 or later using either `npx n8n-mcp@latest` (npm) or `docker pull ghcr.io/czlonkowski/n8n-mcp:latest` (Docker). The patch changes how tool arguments are logged by using a `summarizeToolCallArgs` function that records only the structure and size of data, never the actual secret values. As a temporary workaround if you cannot upgrade immediately: restrict HTTP port access through firewall or VPN, limit who can read server logs, or switch to stdio transport mode (`MCP_MODE=stdio`).","labels":["security","privacy"],"sourceUrl":"https://github.com/advisories/GHSA-wg4g-395p-mqv3","publishedAt":"2026-04-25T23:35:28.000Z","cveId":null,"cweIds":null,"cvssScore":null,"cvssSeverity":"medium","severity":"medium","attackType":["pii_leakage"],"issueType":"vulnerability","affectedPackages":["n8n-mcp@< 2.47.13 (fixed: 2.47.13)"],"affectedVendors":["LangChain"],"affectedVendorsRaw":["n8n-MCP"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":null,"epssScore":null,"patchAvailable":true,"disclosureDate":"2026-04-25T23:35:28.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"trivial","impactType":["confidentiality"],"aiComponentTargeted":"api","llmSpecific":false,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":null}}