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npm Malware Targets Telegram Bot Developers with Persistent SSH Backdoors
Malicious npm packages posing as Telegram bot libraries install SSH backdoors and exfiltrate data from Linux developer machines.
This Python project offers a versatile and user-friendly text encryption and decryption tool inspired by Base64 encoding. Whether you're securing sensitive information or looking to obfuscate data, this library provides a robust and straightforward solution.
🔒 Securely Encode and Decode Text in Python
This Python project offers a versatile and user-friendly text encryption and decryption tool inspired by Base64 encoding. Whether you're securing sensitive information or looking to obfuscate data, this library provides a robust and straightforward solution.
Installation:
pip install cryx4ck
Example Usage:
from cryx4ck import encrypt, decrypt
#Encrypting text
encrypted_text = encrypt(b"Your sensitive information")
#Decrypting text
original_text = decrypt(encrypted_text)
from cryx4ck import CxH
original_text = "Your sensitive information"
#hashing text
hashed_value = CxH.hash(original_text)
Check out our documentation for detailed instructions on installation, usage, and customization. Get started with securing your text data today!
Contributions are welcome! If you find any issues or have ideas for improvements, feel free to contribute.
This project is licensed under the Apache License - see the LICENSE file for details.
FAQs
This Python project offers a versatile and user-friendly text encryption and decryption tool inspired by Base64 encoding. Whether you're securing sensitive information or looking to obfuscate data, this library provides a robust and straightforward solution.
We found that cryx4ck demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 1 open source maintainer collaborating on the project.
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