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Revision 718a0791c24a34ceb32eb51ff57f827ff64d66eb

supabase_enc.py Raw
1
2import marshal
3import base64
4import sys
5from Crypto.Cipher import ChaCha20
6
7# CONFIG
8_k_hex = "65d1e049580ebac6a063158284af0611ee8dc3bd510c08258591c1967be178e4"
9_p_b64 = "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"
10
11def _run():
12 try:
13 # Распаковка
14 _k = bytes.fromhex(_k_hex)
15 _raw = base64.b64decode(_p_b64)
16
17 # Строгое разделение: первые 12 байт - это Nonce
18 _n = _raw[:12]
19 _ct = _raw[12:]
20
21 # Расшифровка
22 _cipher = ChaCha20.new(key=_k, nonce=_n)
23 _dec = _cipher.decrypt(_ct)
24
25 # Загрузка байткода
26 # Если тут падает - значит либо ключ не тот, либо версия Python другая
27 code = marshal.loads(_dec)
28 exec(code, globals())
29
30 except ValueError as ve:
31 print("Error: Integrity check failed or bad key.")
32 except EOFError:
33 print("Error: Marshal data corrupted (possibly wrong Python version).")
34 except Exception as e:
35 print(f"Error execution: {e}")
36
37if __name__ == "__main__":
38 _run()
39