Fix API Rate Limit Exhaustion in Hanami
API Rate Limit Exhaustion in Hanami allows adversaries to perform resource exhaustion, credential stuffing, or scraping at scale. Since Hanami is built on Rack, failing to implement middleware-level throttling leaves the application logic exposed to volumetric abuse. Real-world exploitation often targets high-cost endpoints like auth or search to spike DB CPU and crash the service.
The Vulnerable Pattern
# config/app.rb # Missing middleware for request control module MyApp class App < Hanami::App # No rate limiting configured here end endapp/actions/users/login.rb
module Actions module Users class Login < Action def handle(request, response) # Logic processes every request without checking frequency # Attacker can hit this 10,000 times per second user = UserRepository.new.find_by_email(request.params[:email]) # … authentication logic … end end end end
The Secure Implementation
To secure Hanami, we inject the `Rack::Attack` middleware into the application stack. This intercepts requests before they reach the router or action layer. We define a throttle rule targeting the `/users/login` endpoint, limiting unique IPs to 5 requests per minute. By returning a 429 Too Many Requests status code, we preserve application resources and force the client to back off, effectively mitigating automated brute-force and DoS attempts.
# 1. Add 'rack-attack' gem to Gemfile # 2. config/app.rb module MyApp class App < Hanami::App config.middleware.use Rack::Attack end end3. config/initializers/rack_attack.rb
Rack::Attack.cache.store = ActiveSupport::Cache::MemoryStore.new # Use Redis in production
Rack::Attack.throttle(‘limit_login_attempts_by_ip’, limit: 5, period: 60.seconds) do |req| if req.path == ‘/users/login’ && req.post? req.ip end end
Rack::Attack.throttled_response = lambda do |env| [429, { ‘Content-Type’ => ‘application/json’ }, [{ error: ‘Rate limit exceeded. Retry later.’ }.to_json]] end
Your Hanami API
might be exposed to API Rate Limit Exhaustion
74% of Hanami apps fail this check. Hackers use automated scanners to find this specific flaw. Check your codebase before they do.
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