forked from ReScrap/ScrapHacks
Daniel Seiller
8d92f25b8c
- Started implementing new parser for chunked data - Started documenting data formats - Started dissector for network protocol - Added AI-Graph renderer (converts .pth files to python data you can import into Blender) - Added Script to convert savefile to JSON - Added (old) parser for chunked data format - Added basic parser for LFVF data section (Vertex Data) - Added script to analyze and filter read trace generated with frida script - Added various Frida scripts
60 lines
1.3 KiB
Python
60 lines
1.3 KiB
Python
from __future__ import print_function
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import frida
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import os
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import sys
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import psutil
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import binascii
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import sqlite3
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import json
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import time
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import msgpack
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from multiprocessing import JoinableQueue
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import threading
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q = JoinableQueue()
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def db_worker(q):
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with open("dump.mp", "wb") as of:
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while True:
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args = q.get()
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if args is None:
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q.task_done()
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break
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msgpack.dump(args, of)
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q.task_done()
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db_w = threading.Thread(target=db_worker, args=(q,))
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db_w.start()
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def on_message(msg, data):
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filename = msg.get("payload", {}).get("filename", "<UNKNOWN>").replace("\\", "/")
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block_id = msg.get("payload", {}).get("block_id", "<UNKNOWN>")
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print(filename,block_id,data)
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msg["payload"]["data"] = data
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q.put(msg["payload"])
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def main():
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pid = frida.spawn(sys.argv[1:])
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session = frida.attach(pid)
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script = session.create_script(open("frida_hook_read_trace.js").read())
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script.on("message", on_message)
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script.load()
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frida.resume(pid)
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proc = psutil.Process(pid)
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proc.wait()
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session.detach()
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q.put(None)
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q.join()
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q.close()
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db_w.join()
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if __name__ == "__main__":
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main()
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