Fix Lack of Resources & Rate Limiting in Hug
Unbounded endpoints in Hug are a low-hanging fruit for DoS. Because Hug is built on Falcon, it's high-performance but lacks built-in rate limiting in its core decorators. Without constraints, an attacker can spam heavy CPU/IO tasks, exhausting the worker pool and causing a total service blackout. We need to implement a middleware or decorator-based throttle to gate-keep resource consumption.
The Vulnerable Pattern
import hug
@hug.get(‘/api/heavy-transform’) def heavy_transform(data: hug.types.text): # VULNERABLE: No limit on request frequency or payload size. # An attacker can script 1000s of concurrent requests to exhaust CPU. result = ”.join(reversed(data)) # Simplified heavy task return {‘result’: result}
The Secure Implementation
The fix introduces a Redis-backed rate limiting decorator. It tracks the client's IP address and increments a counter within a sliding or fixed window. If the count exceeds the threshold, it raises 'hug.HTTPTooManyRequests' (429), halting execution before the expensive logic runs. Additionally, using 'hug.types.length' mitigates memory exhaustion by enforcing strict bounds on input data size.
import hug from redis import Redis import timeInitialize Redis for distributed state
redis = Redis(host=‘localhost’, port=6379, db=0)
def rate_limiter(limit=10, window=60): def decorator(handler): def wrapper(*args, **kwargs): request = kwargs.get(‘request’) # Identify client by IP client_ip = request.access_route[0] if request else ‘unknown’ key = f’rate_limit:{client_ip}’
current_usage = redis.get(key) if current_usage and int(current_usage) >= limit: raise hug.HTTPTooManyRequests('Rate limit exceeded. Try again later.') pipe = redis.pipeline() pipe.incr(key) pipe.expire(key, window) pipe.execute() return handler(*args, **kwargs) return wrapper return decorator
@hug.get(‘/api/heavy-transform’) @rate_limiter(limit=5, window=60) def secure_transform(request, data: hug.types.length(1, 1024)): # SECURE: Rate limited to 5 req/min per IP and payload size restricted. return {‘result’: data[::-1]}
Your Hug API
might be exposed to Lack of Resources & Rate Limiting
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