Fix Lack of Resources & Rate Limiting in RedwoodJS
RedwoodJS applications are vulnerable to Resource Exhaustion and Denial of Service (DoS) by default because GraphQL endpoints are inherently permissive. Without explicit rate limiting and depth constraints, an attacker can craft 'recursive' queries to blow up the call stack or pass massive 'take' arguments to Prisma to OOM (Out of Memory) your database. Real-world exploitation involves flooding the /graphql endpoint with expensive operations, bypassing frontend-only protections.
The Vulnerable Pattern
// api/src/services/posts/posts.js // VULNERABILITY: No upper bound on 'take'. An attacker can pass take: 1000000000 export const posts = ({ take }) => { return db.post.findMany({ take }) }
// api/src/functions/graphql.js // VULNERABILITY: Default handler lacks complexity or rate limiting plugins export const handler = createGraphQLHandler({ schema: makeMergedSchema({ schemas, services }), db, })
The Secure Implementation
To harden RedwoodJS, you must implement a multi-layered defense. 1. Input Validation: In your services, always enforce a hard 'MAX_LIMIT' on any pagination parameters to prevent database resource exhaustion. 2. Query Depth Limiting: Use the Envelop 'useDepthLimit' plugin in your graphqlHandler to reject overly nested queries that cause high CPU usage. 3. Rate Limiting: Integrate 'graphql-rate-limit-directive' into your SDL to throttle specific high-risk mutations like logins or expensive searches. 4. Infrastructure: Deploy a WAF or API Gateway (like Nginx or Cloudflare) to drop volumetric attacks before they hit your serverless functions or Node process.
// api/src/services/posts/posts.js export const posts = ({ take = 20 }) => { const MAX_LIMIT = 100 const safeTake = Math.min(take, MAX_LIMIT) return db.post.findMany({ take: safeTake }) }// api/src/functions/graphql.js import { createGraphQLHandler } from ‘@redwoodjs/graphql-server’ import { useDepthLimit } from ‘@envelop/depth-limit’
export const handler = createGraphQLHandler({ extraPlugins: [ useDepthLimit({ maxDepth: 7 }) // Prevent deep nested query attacks ], schema: makeMergedSchema({ schemas, services }), db, // Use Shield or Directives for fine-grained rate limiting })
Your RedwoodJS API
might be exposed to Lack of Resources & Rate Limiting
74% of RedwoodJS apps fail this check. Hackers use automated scanners to find this specific flaw. Check your codebase before they do.
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