Fix API Rate Limit Exhaustion in Bottle
Bottle is a lightweight micro-framework that provides zero native protection against rate limit exhaustion. Without an explicit throttling mechanism, your endpoints are vulnerable to automated brute-force, scraping, and DoS attacks. In a production environment, failing to implement rate limiting is an open invitation for resource depletion. We mitigate this by implementing an atomic counter using Redis to track and block abusive traffic patterns.
The Vulnerable Pattern
from bottle import route, run, request@route(‘/api/data’) def sensitive_endpoint(): # VULNERABILITY: No tracking of request frequency. # An attacker can script thousands of requests per second # to scrape data or overwhelm the backend database. return {“status”: “success”, “payload”: “sensitive_info”}
run(host=‘0.0.0.0’, port=8080)
The Secure Implementation
The secure implementation uses a Redis-backed decorator to enforce a 'Fixed Window' rate limiting algorithm. By identifying users via `request.remote_addr`, we increment a unique key in Redis. The first request in a cycle sets a TTL (Time-To-Live) on the key. If the counter exceeds the defined limit before the TTL expires, the server returns an HTTP 429 'Too Many Requests' response. Using Redis ensures that rate limits are shared across multiple worker processes, preventing the 'split-brain' issue common with in-memory Python dictionaries.
import redis from bottle import route, run, request, abortConnect to Redis for high-speed atomic operations
r = redis.Redis(host=‘localhost’, port=6379, db=0)
def limit_checker(limit=10, window=60): def decorator(func): def wrapper(*args, **kwargs): client_ip = request.remote_addr key = f”ratelimit:{client_ip}”
# Atomic increment and check current_hits = r.incr(key) if current_hits == 1: r.expire(key, window) if current_hits > limit: abort(429, "Rate limit exceeded. Try again later.") return func(*args, **kwargs) return wrapper return decorator@route(‘/api/data’) @limit_checker(limit=5, window=60) def secure_endpoint(): return {“status”: “success”, “payload”: “protected_info”}
run(host=‘0.0.0.0’, port=8080)
Your Bottle API
might be exposed to API Rate Limit Exhaustion
74% of Bottle apps fail this check. Hackers use automated scanners to find this specific flaw. Check your codebase before they do.
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