Fix Lack of Resources & Rate Limiting in TurboGears
TurboGears applications, particularly those running on Gearbox or standard WSGI servers, often lack built-in request throttling. Without explicit rate limiting, endpoints—especially those performing heavy database lookups or password hashing—are trivial to exploit via Denial of Service (DoS) or credential stuffing. To harden the stack, we must implement a decorator-based throttle or middleware that tracks client identity (IP or API key) against a sliding window or token bucket stored in a fast backend like Redis.
The Vulnerable Pattern
from tg import expose, request from myapp.model import DBSession, User
class AuthController(BaseController): @expose(‘json’) def login(self, username, password): # VULNERABLE: No rate limiting. Attacker can brute-force 1000s of attempts/sec. user = DBSession.query(User).filter_by(username=username).first() if user and user.validate_password(password): return dict(status=‘success’) return dict(status=‘failure’)
The Secure Implementation
The vulnerable controller lacks any mechanism to track request frequency, allowing automated tools to exhaust resources or crack accounts. The secure implementation introduces a 'rate_limit' decorator. It uses Redis to maintain an atomic counter keyed by the client's IP address and the specific function name. If the counter exceeds the 'limit' within the defined 'period', the application immediately returns an HTTP 429 (Too Many Requests) response, offloading the check to the cache layer and protecting the expensive database/CPU operations from abuse.
import redis from tg import expose, request, abort from functools import wrapsInitialize Redis for rate limiting state
r = redis.Redis(host=‘localhost’, port=6379, db=0)
def rate_limit(limit=5, period=60): def decorator(f): @wraps(f) def wrapper(*args, **kwargs): key = f”rate_limit:{request.remote_addr}:{f.name}” current = r.get(key) if current and int(current) >= limit: abort(429, detail=‘Too Many Requests - Slow down, hacker.’)
pipe = r.pipeline() pipe.incr(key) pipe.expire(key, period) pipe.execute() return f(*args, **kwargs) return wrapper return decorator
class AuthController(BaseController): @expose(‘json’) @rate_limit(limit=5, period=60) # Secure: Max 5 attempts per minute per IP def login(self, username, password): user = DBSession.query(User).filter_by(username=username).first() if user and user.validate_password(password): return dict(status=‘success’) return dict(status=‘failure’)
Your TurboGears API
might be exposed to Lack of Resources & Rate Limiting
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