datadome-encryption 1.1.1

Python implementation of DataDome's client-side encryption and decryption.

DataDome Encryption System: Python Implementation

A clean Python implementation of DataDome's client-side encryption and decryption, with a simple classes and practical usage examples.

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Table of Contents

• DataDome Encryption System: Python Implementation
  • Table of Contents
  • Installation & Quick Start
    • Basic Usage Example
  • Full Example: Encryption/Decryption Validity Check
  • About This Project
    • Converting from NodeJS
  • Author
  • Development
    • Running Tests
    • Contributing

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Installation & Quick Start

Install the module from PyPI:

pip install datadome-encryption

Basic Usage Example

import json
from datadome_encryption import DataDomeDecryptor, DataDomeEncryptor

cid = "YOUR_CLIENT_ID"
hash_str = "YOUR_HASH_STRING"
signals = [
    ["key1", "value1"],
    ["key2", 123],
    # ... more key-value pairs
]

# Encryption
encryptor = DataDomeEncryptor(hash_str, cid, ctype="captcha")
for key, value in signals:
    encryptor.add(key, value)
encrypted = encryptor.encrypt()
print('Encrypted:', encrypted)

# Decryption
decryptor = DataDomeDecryptor(hash_str, cid, ctype="captcha")
decrypted = decryptor.decrypt(encrypted)
print('Decrypted:', decrypted)

Replace YOUR_CLIENT_ID and YOUR_HASH_STRING with your actual values. The signals list should contain your key-value pairs to encrypt.

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Full Example: Encryption/Decryption Validity Check

import json
from datadome_encryption import DataDomeDecryptor, DataDomeEncryptor

if __name__ == "__main__":
    cid = "k6~sz7a9PBeHLjcxOOWjR162xQq2Uxsx6wLzxeGlO7~6k3JVwDkwAaQ04wdFEMm2Jt2s0y61mLfJdhWuqtqeJzFMuo7Lf8P5btYX0K4EeoLRcNAtNW04rGhTE3nKpMxi"
    hash_str = "14D062F60A4BDE8CE8647DFC720349"
    excepted_encrypted = open("excepted.txt", "r", encoding="utf-8").read()
    original_signals = json.loads(open("original.json", "r", encoding="utf-8").read())
    
    decryptor = DataDomeEncryptor(hash_str, cid, ctype="captcha")
    for key, value in original_signals:
        decryptor.add(key, value)
    encrypted = decryptor.encrypt()

    # We ignore the last char on compilation due to the 
    # fact that is salt based, so unless you pass
    # the same salt it will be a different char based
    # on the timestamp
    print(f"Encryption matches expected?  {encrypted[:-1] == excepted_encrypted[:-1]}")

    decryptor = DataDomeDecryptor(hash_str, cid, ctype="captcha")
    rebuild_decrypted = decryptor.decrypt(encrypted)
    original_decrypted = decryptor.decrypt(excepted_encrypted)

    mismatch = False
    for rebuild, original in zip(rebuild_decrypted, original_decrypted):
        rebuild_key, rebuil_value = rebuild[0], rebuild[1]
        original_key, original_value = original[0], original[1]

        if rebuild_key != original_key or \
            rebuil_value != original_value:
            mismatch = True
            print(f"(ORIGINAL) Mismatch {original_key} {original_value=}")
            print(f"(REBUILD ) Mismatch {rebuild_key} {rebuil_value=}")
            print("*"*20)

    print(f"Got any mismatch on decryption? {mismatch}")

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About This Project

This repository provides a clean, well-documented Python implementation of DataDome's client-side encryption and decryption logic. It is designed for:

• Security researchers
• Developers integrating with DataDome-protected endpoints
• Anyone interested in reverse engineering or cryptography

For a full technical analysis, reverse engineering details, and a Node.js implementation, see the Node.js version and the Medium article.

Converting from NodeJS

The hardest part of converting the module from NodeJS to Python was ensuring that all calculations were correctly translated and still executed as 32-bit operations, just as NodeJS/JavaScript does—whereas Python uses 64-bit integers by default.

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Author

If you found this project helpful or interesting, consider starring the repo and following me for more security research and tools, or buy me a coffee to keep me up

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Development

Running Tests

Install development dependencies:

pip install -r requirements-dev.txt

Run tests with:

pytest

Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

Please make sure to update tests as appropriate.