python-password-rotation-script

Python Password Rotation Script

Overview This Python project simulates password rotation for privileged accounts. It generates strong, secure random passwords and stores them inside a simulated vault directory.

This project showcases a lightweight but effective approach to password rotation — an essential security practice in PAM (Privileged Access Management). I used Python’s secrets module to generate strong passwords and simulate secure storage by organizing outputs into timestamped vault files. This mimics real-world credential hygiene without relying on an enterprise platform, helping demonstrate both scripting skills and understanding of secure operational workflows.

Features

• Strong password generation using Python’s secrets library
• Auto-creation of a local “vault” directory
• Timestamped password file generation per user
• Easy to expand to include encryption or real vault integration

Usage

1. Clone or download this repository
2. Run the script: python rotate_passwords.py
3. Check the vault/ folder to see the new passwords created

Example Output Files saved: vault/admin_20240428201100.txt vault/dbuser_20240428201102.txt vault/backupuser_20240428201103.txt

Skills To Focus on related to this Project:

• Python scripting for security automation
• Privileged access management concepts
• File I/O, randomness, directory handling

🚀 Next Steps and Enhancement Ideas

Here are some planned improvements and future features:

• 🔐 Encrypt stored password files using the cryptography library
• 🧪 Add unit tests** to validate password generation and file output
• 📁 Allow custom username input via command-line arguments (argparse)
• 📜 Create a password change logo (e.g., rotation_log.txt file with timestamps)
• 🔄 Simulate old password deletion or archiving to reflect rotation lifecycle
• 🧩 Integrate with a real PAM solution or API (e.g., Delinea Secret Server, HashiCorp Vault)
• 🌐 Add a simple web interface using Flask for triggering rotation and viewing the vault contents (for demo use only)
• 🛠️ Dockerize the project for consistent deployment

Pull requests and suggestions are welcome!