| """Decrypt the LoHoSearch dataset CSV. |
| |
| The encrypted CSV must have three columns: question, answer, canary. |
| Each question/answer is base64(XOR(plaintext, SHA256-derived keystream)). |
| |
| Decrypts every row's question and answer and writes them to an output CSV. |
| """ |
|
|
| import argparse |
| import base64 |
| import csv |
| import hashlib |
| import sys |
|
|
| ENCRYPTED_COLUMNS = ["question", "answer"] |
|
|
|
|
| def derive_key(password: str, length: int) -> bytes: |
| """Derive a fixed-length key from the password using SHA256.""" |
| hasher = hashlib.sha256() |
| hasher.update(password.encode()) |
| key = hasher.digest() |
| return key * (length // len(key)) + key[: length % len(key)] |
|
|
|
|
| def decrypt(ciphertext_b64: str, password: str) -> str: |
| """Decrypt base64-encoded ciphertext with XOR.""" |
| encrypted = base64.b64decode(ciphertext_b64) |
| key = derive_key(password, len(encrypted)) |
| decrypted = bytes(a ^ b for a, b in zip(encrypted, key)) |
| return decrypted.decode() |
|
|
|
|
| def read_rows(path: str): |
| with open(path, newline="", encoding="utf-8") as f: |
| reader = csv.DictReader(f) |
| return list(reader), (reader.fieldnames or []) |
|
|
|
|
| def main() -> None: |
| parser = argparse.ArgumentParser(description="Decrypt the LoHoSearch dataset CSV.") |
| parser.add_argument("encrypted", help="Encrypted CSV with question, answer, canary columns.") |
| parser.add_argument( |
| "--output", |
| default="LoHoSearch_decrypted.csv", |
| help="Path to write the decrypted rows (question, answer).", |
| ) |
| args = parser.parse_args() |
|
|
| csv.field_size_limit(sys.maxsize) |
|
|
| enc_rows, enc_fields = read_rows(args.encrypted) |
|
|
| for col in ENCRYPTED_COLUMNS + ["canary"]: |
| if col not in enc_fields: |
| raise SystemExit(f"Encrypted CSV is missing column: {col}") |
|
|
| decrypted_rows = [] |
| for enc in enc_rows: |
| canary = enc["canary"] |
| decrypted_rows.append( |
| {col: decrypt(enc[col], canary) for col in ENCRYPTED_COLUMNS} |
| ) |
|
|
| with open(args.output, "w", newline="", encoding="utf-8") as f: |
| writer = csv.DictWriter(f, fieldnames=ENCRYPTED_COLUMNS) |
| writer.writeheader() |
| writer.writerows(decrypted_rows) |
| print(f"Wrote {len(decrypted_rows)} decrypted rows -> {args.output}") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|