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Fix API Rate Limit Exhaustion in AdonisJS

API Rate Limit Exhaustion in AdonisJS is a critical vulnerability that allows attackers to perform Denial of Service (DoS) or automated brute-force attacks against sensitive endpoints. Without throttling, an adversary can saturate the event loop or exhaust database connection pools. To secure the stack, we must implement the official @adonisjs/limiter package to enforce request quotas at the middleware layer.

The Vulnerable Pattern

// start/routes.ts
import router from '@adonisjs/core/services/router'
const AuthController = () => import('#controllers/auth_controller')

// VULNERABLE: No rate limiting applied. // An attacker can send 10,000 requests/sec to brute-force credentials. router.post(‘/api/login’, [AuthController, ‘login’])

The Secure Implementation

The fix utilizes the @adonisjs/limiter package to implement a 'Fixed Window' or 'Leaky Bucket' strategy. By defining a policy that allows only 5 requests per minute keyed by the user's IP address, we prevent automated scripts from overwhelming the login logic. The middleware intercepts the request early in the lifecycle; if the limit is exceeded, it immediately returns a 429 Too Many Requests response, protecting downstream resources like the database and hashing functions (Bcrypt/Argon2) from CPU exhaustion.

// 1. Define the limiter in start/limiter.ts
import { limiter } from '@adonisjs/limiter/services/main'

export const loginThrottle = limiter .allowRequests(5) .every(‘1 minute’) .usingKey((ctx) => ctx.request.ip())

// 2. Apply to routes in start/routes.ts import router from ‘@adonisjs/core/services/router’ import { middleware } from ‘#start/kernel’ const AuthController = () => import(‘#controllers/auth_controller’)

router.post(‘/api/login’, [AuthController, ‘login’]) .use(middleware.throttle(‘loginThrottle’))

System Alert • ID: 3321
Target: AdonisJS API
Potential Vulnerability

Your AdonisJS API might be exposed to API Rate Limit Exhaustion

74% of AdonisJS apps fail this check. Hackers use automated scanners to find this specific flaw. Check your codebase before they do.

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