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Fix API Rate Limit Exhaustion in Gorilla

Exposing Gorilla Mux endpoints without rate limiting is a direct invitation for Resource Exhaustion (CWE-770). Attackers can flood your API to trigger OOM kills or CPU starvation. To fix this, we implement a middleware layer using the Token Bucket algorithm to throttle aggressive clients before they hit your business logic.

The Vulnerable Pattern

package main

import ( “net/http” “github.com/gorilla/mux” )

func main() { r := mux.NewRouter() // VULNERABLE: No rate limiting. Attacker can spam this indefinitely. r.HandleFunc(“/api/resource”, func(w http.ResponseWriter, r *http.Request) { w.Write([]byte(“Resource Accessed”)) }) http.ListenAndServe(“:8080”, r) }

The Secure Implementation

The fix involves injecting a custom middleware into the Gorilla Mux router using 'r.Use()'. We utilize the 'golang.org/x/time/rate' package to implement a Token Bucket. The 'limiter.Allow()' method is thread-safe and checks if a request can be processed based on the defined rate (5 req/s) and burst (10). If the bucket is empty, the middleware returns an HTTP 429 (Too Many Requests) immediately, preventing the request from reaching expensive downstream handlers.

package main

import ( “net/http” “golang.org/x/time/rate” “github.com/gorilla/mux” )

// Define a limiter: 5 requests per second with a burst of 10 var limiter = rate.NewLimiter(5, 10)

func limitMiddleware(next http.Handler) http.Handler { return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) { if !limiter.Allow() { http.Error(w, http.StatusText(http.StatusTooManyRequests), http.StatusTooManyRequests) return } next.ServeHTTP(w, r) }) }

func main() { r := mux.NewRouter() // SECURE: Middleware intercepts requests to enforce limits r.Use(limitMiddleware) r.HandleFunc(“/api/resource”, func(w http.ResponseWriter, r *http.Request) { w.Write([]byte(“Resource Accessed Securely”)) }) http.ListenAndServe(“:8080”, r) }

System Alert • ID: 4438
Target: Gorilla API
Potential Vulnerability

Your Gorilla API might be exposed to API Rate Limit Exhaustion

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

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