missing-rate-limiting-anti-pattern

Prevent brute-force attacks on API authentication endpoints by implementing IP-based and account-based throttling using Token Bucket or Sliding Window algorithms to limit excessive login requests and mitigate credential stuffing.

Stop application-layer DoS attacks on public-facing services by identifying resource exhaustion vulnerabilities and applying rate limiting to data-intensive APIs to prevent attackers from overwhelming the system.

Implement rate limiting for resource-intensive APIs by detecting missing request frequency limits and applying IP-based and account-based throttling mechanisms to secure vulnerable endpoints.

You need rate limiting to secure API endpoints when public-facing services or authentication mechanisms lack request frequency controls, leaving them vulnerable to denial-of-service and credential stuffing attacks.

A Token Bucket algorithm prevents credential stuffing by controlling request flow through IP-based and account-based throttling, automatically rejecting excessive authentication attempts that exhaust available tokens.

IP-based throttling for API security has limitations when attackers rotate IPs to bypass request limits, requiring combined account-based throttling strategies to effectively mitigate distributed brute-force and denial-of-service attacks.