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
31 lines
1 KiB
Python
31 lines
1 KiB
Python
import binascii
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import os
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import sys
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exe_file = os.path.abspath(sys.argv[1])
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def search(pattern, path):
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seen = set()
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with open(path, "rb") as infile:
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buffer = bytearray(infile.read(blocksize))
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while infile.peek(1):
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for block in iter(lambda: infile.read(blocksize), b""):
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buffer += block
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buffer = buffer[-(blocksize * 2) :]
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idx = buffer.find(pattern)
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if idx != -1:
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pos = (infile.tell() - blocksize * 2) + idx
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if pos not in seen:
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seen.add(pos)
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return sorted(seen)
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markers = [ "AMC", "ANI", "CAM", "CM3", "CMSH", "DUM", "EMI", "EVA", "INI", "LFVF", "LUZ", "MAP", "MAT", "MD3D", "NAE", "NAM", "PORT", "QUAD", "SCN", "SM3", "SUEL", "TRI", ]
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blocksize = 1024 * 4
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for marker in markers:
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pattern = bytes(marker, "utf8").ljust(4, b"\0")
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res = search(pattern, exe_file)
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print("?e "+marker)
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for addr in res:
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print("/r `?P {}`".format(hex(addr)))
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