Probe native GPS query helpers
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Executable
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#!/usr/bin/env python3
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"""Find static GPS/map route candidates in a Cyberpunk 2077 executable."""
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from __future__ import annotations
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import argparse
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import dataclasses
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import json
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import re
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import struct
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from pathlib import Path
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@dataclasses.dataclass(frozen=True)
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class Section:
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name: str
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virtual_address: int
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virtual_size: int
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raw_offset: int
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raw_size: int
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characteristics: int
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@property
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def is_code(self) -> bool:
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return bool(self.characteristics & 0x20) and bool(self.characteristics & 0x20000000)
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@property
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def is_readable_data(self) -> bool:
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return bool(self.characteristics & 0x40000000) and not self.is_code
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def contains_rva(self, rva: int) -> bool:
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return self.virtual_address <= rva < self.virtual_address + max(self.virtual_size, self.raw_size)
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def rva_to_offset(self, rva: int) -> int:
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return self.raw_offset + (rva - self.virtual_address)
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def parse_pe(data: bytes) -> tuple[int, list[Section]]:
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if data[:2] != b"MZ":
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raise ValueError("not an MZ executable")
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pe_offset = struct.unpack_from("<I", data, 0x3C)[0]
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if data[pe_offset : pe_offset + 4] != b"PE\0\0":
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raise ValueError("not a PE executable")
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coff_offset = pe_offset + 4
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section_count = struct.unpack_from("<H", data, coff_offset + 2)[0]
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optional_size = struct.unpack_from("<H", data, coff_offset + 16)[0]
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optional_offset = coff_offset + 20
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if struct.unpack_from("<H", data, optional_offset)[0] != 0x20B:
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raise ValueError("expected PE32+ executable")
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image_base = struct.unpack_from("<Q", data, optional_offset + 24)[0]
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section_offset = optional_offset + optional_size
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sections: list[Section] = []
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for index in range(section_count):
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offset = section_offset + index * 40
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name = data[offset : offset + 8].split(b"\0", 1)[0].decode("ascii", "replace")
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virtual_size, virtual_address, raw_size, raw_offset = struct.unpack_from("<IIII", data, offset + 8)
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characteristics = struct.unpack_from("<I", data, offset + 36)[0]
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sections.append(Section(name, virtual_address, virtual_size, raw_offset, raw_size, characteristics))
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return image_base, sections
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def iter_strings(data: bytes, section: Section, min_len: int) -> list[tuple[int, str, str]]:
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results: list[tuple[int, str, str]] = []
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start = section.raw_offset
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end = min(len(data), section.raw_offset + section.raw_size)
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blob = data[start:end]
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ascii_re = re.compile(rb"[\x20-\x7e]{%d,}" % min_len)
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for match in ascii_re.finditer(blob):
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text = match.group(0).decode("ascii", "replace")
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results.append((section.virtual_address + match.start(), "ascii", text))
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utf16_re = re.compile((rb"(?:[\x20-\x7e]\x00){%d,}" % min_len))
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for match in utf16_re.finditer(blob):
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raw = match.group(0)
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text = raw.decode("utf-16le", "replace")
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results.append((section.virtual_address + match.start(), "utf16", text))
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return results
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def find_xrefs(data: bytes, sections: list[Section], image_base: int, target_rvas: set[int]) -> dict[int, list[int]]:
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target_vas = {image_base + rva: rva for rva in target_rvas}
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hits = {rva: [] for rva in target_rvas}
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for section in sections:
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if not section.is_code:
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continue
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start = section.raw_offset
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end = min(len(data), section.raw_offset + section.raw_size)
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for offset in range(start, max(start, end - 4)):
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disp = struct.unpack_from("<i", data, offset)[0]
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instr_end_va = image_base + section.virtual_address + (offset - section.raw_offset) + 4
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target_va = instr_end_va + disp
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target_rva = target_vas.get(target_va)
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if target_rva is not None:
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hits[target_rva].append(section.virtual_address + (offset - section.raw_offset))
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return hits
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def load_address_symbols(path: Path, pattern: re.Pattern[str]) -> list[tuple[int, str]]:
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payload = json.loads(path.read_text())
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symbols: list[tuple[int, str]] = []
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for item in payload.get("Addresses", []):
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symbol = item.get("symbol")
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offset = item.get("offset")
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if not symbol or not offset or not pattern.search(symbol):
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continue
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section, _, value = offset.partition(":")
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if section != "0001":
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continue
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symbols.append((int(value, 16), symbol))
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return sorted(symbols)
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def main() -> int:
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parser = argparse.ArgumentParser()
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parser.add_argument("exe", type=Path)
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parser.add_argument("--addresses", type=Path)
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parser.add_argument(
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"--pattern",
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default=r"gps|route|path|mappin|track|quest|journal|navigation|map",
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help="case-insensitive regex for string and symbol filtering",
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)
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parser.add_argument("--min-len", type=int, default=5)
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parser.add_argument("--max-strings", type=int, default=300)
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args = parser.parse_args()
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data = args.exe.read_bytes()
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image_base, sections = parse_pe(data)
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pattern = re.compile(args.pattern, re.IGNORECASE)
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matches: list[tuple[int, str, str]] = []
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for section in sections:
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if section.is_readable_data:
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matches.extend(item for item in iter_strings(data, section, args.min_len) if pattern.search(item[2]))
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matches.sort(key=lambda item: (item[0], item[1], item[2]))
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target_rvas = {rva for rva, _, _ in matches}
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xrefs = find_xrefs(data, sections, image_base, target_rvas)
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print(f"image_base=0x{image_base:x}")
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print(f"string_matches={len(matches)} pattern={args.pattern!r}")
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for rva, encoding, text in matches[: args.max_strings]:
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hit_text = ", ".join(f"0x{hit:x}" for hit in xrefs.get(rva, [])[:12])
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if len(xrefs.get(rva, [])) > 12:
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hit_text += f", ... +{len(xrefs[rva]) - 12}"
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print(f"string rva=0x{rva:x} enc={encoding} xrefs={len(xrefs.get(rva, []))} text={text!r}")
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if hit_text:
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print(f" xref_disp_rvas={hit_text}")
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if args.addresses:
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print()
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symbols = load_address_symbols(args.addresses, pattern)
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print(f"address_symbols={len(symbols)}")
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for rva, symbol in symbols[: args.max_strings]:
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print(f"symbol rva=0x{rva:x} name={symbol}")
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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