How to fix API Rate Limit Exhaustion
in ServiceStack
Executive Summary
ServiceStack endpoints are frequently left unprotected against high-volume automated attacks. Without explicit throttling, an adversary can saturate your worker threads and exhaust database connection pools via DTO flooding. To mitigate this, we must implement the RateLimitFeature plugin, preferably backed by Redis for distributed state consistency.
The Vulnerable Pattern
public class SensitiveDataService : Service
{
// VULNERABLE: No rate limiting applied.
// An attacker can call this 10,000 times per second to DoS the system.
public object Any(GetSensitiveData request)
{
return new GetSensitiveDataResponse { Data = Db.Select() };
}
}The Secure Implementation
The secure implementation utilizes the RateLimitFeature plugin to intercept requests before they hit the service logic. By defining a RateLimitRule, we enforce a strict threshold (10 requests per second). Using Redis as the backing store ensures that rate limits are synchronized across all nodes in a load-balanced environment, preventing attackers from bypassing limits by rotating between different application server IPs.
public override void Configure(Container container) { // SECURE: Implementing RateLimitFeature with Redis for distributed enforcement Plugins.Add(new RateLimitFeature { Rules = { new RateLimitRule { Route = "/sensitive-data*", Limit = 10, Period = TimeSpan.FromSeconds(1), Message = "Rate limit exceeded. Slow down, hacker." } } });container.Register<IRedisClientsManager>(c => new RedisManagerPool("localhost:6379"));
}
Your ServiceStack API
might be exposed to API Rate Limit Exhaustion
74% of ServiceStack apps fail this check. Hackers use automated scanners to find this specific flaw. Check your codebase before they do.
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