Unveiling the Secrets of Code Securing Mechanism (Python)
Code encryption involves transforming data or information into a secure and unreadable form, known as ciphertext, using an algorithm and an encryption key.
In this blog, we will delve into the world of code obfuscation and encryption using python packages.
PyArmor, a robust Python tool, specializes in obfuscating code, making it challenging to comprehend or reverse-engineer. It focuses on safeguarding scripts to ensure they can run smoothly while concealing the underlying code. In the following section, we’ll explore how to utilize PyArmor for code obfuscation.
Now, we will encrypt the test_file.py with this key. This code will encrypt the content of ‘test_file.py’ using the Fernet cipher with the provided key and save the encrypted result back to the same file.
test_file.py
encrypted test_file.py
As mentioned earlier, PyArmor specializes in code obfuscation, allowing the code to remain executable. With Fernet encryption, the code is not only obfuscated but also somewhat secured against direct visibility and execution. Fernet encrypts the code, rendering it inaccessible and ensures a higher level of confidentiality.
The same file can be decrypted using the same key and the below script.
At the first level, PyArmor employs sophisticated code obfuscation to obscure the source code, bolstering its resilience against reverse engineering while still enabling usage without code visibility.
Complementing PyArmor, Fernet encryption operates as level 2 security, introducing an additional layer of protection by encrypting the code. This cryptographic layer ensures that the user cannot view or execute the code, unlike PyArmor, further reducing the risk of unauthorized access and preserving the confidentiality of critical components.
Ali, at TenX works as Data Analyst