mirror of
https://github.com/Shiva108/ai-llm-red-team-handbook.git
synced 2026-05-14 20:58:09 +02:00
shiva108
b3d3bac51f
- Extracted all code examples from handbook chapters - Organized into 15 attack categories - Created shared utilities (api_client, validators, logging, constants) - Added workflow orchestration scripts - Implemented install.sh for easy setup - Renamed all scripts to descriptive functional names - Added comprehensive README and documentation - Included pytest test suite and configuration
52 lines
1.3 KiB
Python
52 lines
1.3 KiB
Python
#!/usr/bin/env python3
|
|
"""
|
|
Practical Detection Example
|
|
|
|
Source: Chapter_32_Automated_Attack_Frameworks
|
|
Category: automation
|
|
"""
|
|
|
|
import time
|
|
from collections import deque
|
|
|
|
import argparse
|
|
import sys
|
|
|
|
#!/usr/bin/env python3
|
|
"""
|
|
Detection Logic for Automated Fuzzing
|
|
"""
|
|
|
|
class RateLimitDetector:
|
|
"""Detects rapid-fire requests typical of fuzzers."""
|
|
|
|
def __init__(self, max_requests: int = 10, window_seconds: int = 60):
|
|
self.max_requests = max_requests
|
|
self.window = window_seconds
|
|
self.timestamps = deque()
|
|
|
|
def check_request(self) -> bool:
|
|
"""
|
|
Log a request and check if limit is exceeded.
|
|
Returns: True if blocked (limit exceeded), False otherwise.
|
|
"""
|
|
now = time.time()
|
|
|
|
# Remove old timestamps
|
|
while self.timestamps and self.timestamps[0] < now - self.window:
|
|
self.timestamps.popleft()
|
|
|
|
# Check count
|
|
if len(self.timestamps) >= self.max_requests:
|
|
return True
|
|
|
|
self.timestamps.append(now)
|
|
return False
|
|
|
|
if __name__ == "__main__":
|
|
detector = RateLimitDetector(max_requests=5, window_seconds=10)
|
|
# Simulate burst
|
|
for i in range(7):
|
|
blocked = detector.check_request()
|
|
print(f"Req {i+1}: Blocked? {blocked}")
|