Api Rate Abuse in Adonisjs

Api rate abuse in Adonisjs applications typically exploits the framework's middleware system and controller patterns. The most common attack vectors target unauthenticated endpoints, authentication endpoints, and resource-intensive operations.

Authentication endpoints are particularly vulnerable. Attackers can rapidly submit login requests to brute-force credentials or enumerate valid usernames. In Adonisjs, a typical vulnerable login controller might look like:

class AuthController {
  async login({ request, auth }) {
    const { email, password } = request.body();
    return await auth.attempt(email, password);
  }
}

Without rate limiting, an attacker can make thousands of attempts per minute. The framework's built-in authentication system doesn't include rate limiting by default, making this a critical security gap.

Resource-intensive endpoints are another prime target. Adonisjs controllers handling file uploads, database queries, or external API calls can be abused to consume excessive resources:

class FileController {
  async upload({ request }) {
    const file = request.file('file', {
      size: '2mb',
      extnames: ['jpg', 'png']
    });
    
    await file.move(uploadsPath());
    return {
      success: true,
      filename: file.fileName
    };
  }
}

Without rate limiting, an attacker can upload hundreds of files simultaneously, exhausting disk space and bandwidth.

API endpoints that serve data without pagination or filtering are also susceptible. Consider an endpoint that returns all user records:

class UserController {
  async index({ response }) {
    const users = await User.all();
    return response.json(users);
  }
}

An attacker can repeatedly call this endpoint to download the entire user database or cause database performance issues through excessive queries.

Adonisjs's middleware system provides the perfect interception point for implementing rate limiting. The framework executes middleware in sequence, allowing you to check request rates before reaching the controller logic. However, many developers forget to implement this crucial security layer, leaving their APIs exposed to abuse.

Detecting API rate abuse in Adonisjs applications requires both manual code review and automated scanning. middleBrick's API security scanner includes specific checks for rate limiting vulnerabilities in Adonisjs applications.

middleBrick scans your Adonisjs API endpoints by sending legitimate requests and monitoring response patterns. The scanner identifies endpoints that:

• Lack rate limiting middleware on authentication endpoints
• Allow unlimited requests to resource-intensive operations
• Don't implement IP-based or user-based rate limiting
• Expose endpoints that could be abused for data exfiltration

The scanner tests for rate abuse by making rapid sequential requests to each endpoint and analyzing response consistency, error patterns, and response times. For Adonisjs applications specifically, middleBrick looks for common patterns like:

// Vulnerable pattern - no rate limiting
Route.post('login', 'AuthController.login');

// Protected pattern - with rate limiting
Route.post('login', 'AuthController.login')
  .middleware('throttle:60,1');

middleBrick's scanning process takes 5-15 seconds and provides a security score from A to F, with detailed findings for each category. The tool automatically detects if your API is built with Adonisjs by analyzing route patterns, middleware usage, and response headers.

For continuous monitoring, the middleBrick GitHub Action can be configured to scan your Adonisjs API endpoints in your CI/CD pipeline. This ensures that rate limiting vulnerabilities are caught before deployment:

name: Security Scan
on: [push, pull_request]

jobs:
  security:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - run: npm install -g middlebrick
      - run: middlebrick scan https://api.yourapp.com --fail-below B

The CLI tool provides JSON output that can be integrated with your existing security workflows, making it easy to track rate limiting coverage across your Adonisjs application.

Remediating API rate abuse in Adonisjs requires implementing proper rate limiting using the framework's built-in features. The most effective approach is using Adonisjs's throttle middleware, which provides flexible rate limiting based on IP addresses, user IDs, or custom keys.

For authentication endpoints, implement rate limiting to prevent brute-force attacks:

Route.post('login', 'AuthController.login')
  .middleware('throttle:5,1'); // 5 requests per minute

This limits login attempts to 5 per minute per IP address. For more sophisticated protection, you can rate limit based on the email address being attempted:

class AuthController {
  async login({ request, auth, response }) {
    const email = request.input('email');
    
    // Rate limit based on email address
    const limiter = use('Limiter');
    const key = `login:${email}`;
    
    if (await limiter.consume(key, 5, '1m')) {
      try {
        return await auth.attempt(email, request.input('password'));
      } catch (error) {
        return response.status(401).json({ error: 'Invalid credentials' });
      }
    } else {
      return response.status(429).json({ 
        error: 'Too many login attempts', 
        retryAfter: 60 
      });
    }
  }
}

For resource-intensive endpoints, implement tiered rate limiting based on user roles:

Route.get('users', 'UserController.index')
  .middleware('throttle:100,1'); // 100 requests per minute

Route.post('upload', 'FileController.upload')
  .middleware('throttle:10,1'); // 10 requests per minute

You can also create custom middleware for more granular control:

class RateLimitMiddleware {
  async handle({ request, response }, next, [limit, duration]) {
    const key = request.ip();
    const limiter = use('Limiter');
    
    if (await limiter.consume(key, limit, duration)) {
      await next();
    } else {
      response.status(429).json({
        error: 'Rate limit exceeded',
        retryAfter: Math.ceil(duration / 1000)
      });
    }
  }
}

Register this middleware in your start/kernel.js file and apply it to routes that need protection.

For APIs serving large datasets, implement pagination and request limiting:

class UserController {
  async index({ request, response }) {
    const page = request.input('page', 1);
    const limit = Math.min(request.input('limit', 20), 100);
    
    const users = await User.query()
      .paginate(page, limit);
    
    return response.json(users);
  }
}

This ensures that even if rate limiting is bypassed, clients can only retrieve a maximum of 100 records per request, preventing data exfiltration through legitimate means.