🔒 Local Password Breach Checker

A 100% local, private, and blazing-fast web app for checking if your password appears in a massive breach list (8+ billion passwords supported).
Search your password securely—nothing ever leaves your computer!

---

✨ Features

• Lightning-fast: Search 8+ billion passwords instantly with SQLite index.
• Modern UI: Hacker-themed, mobile-friendly interface.
• 100% Private: Runs on your machine. No cloud. No logging. No uploads.
• Easy to use: One-time import; then just run and search.
• Secure by default: Password field never shows input, no browser storage, no history.

---

🚀 Getting Started

1. Clone and Install Dependencies

git clone https://github.com/s-b-repo/breach-check.git
cd breach-check
pip install flask

2. Import Your Password List

Note: Importing 8 billion lines may take several hours (but only needs to be done once).

Place your .txt file (one password per line) in the folder and update the filename in import_to_db.py.

python database_converter.py

This will create a local passwords.db SQLite database with a fast search index.

3. Run the Web App

python app.py

Open http://localhost:5000 in your browser.

---

password magnet link

magnet:?xt=urn:btih:4e3915a8ecf6bc174687533d93975b1ff0bde38a&dn=rockyou2024.zip&xl=48976652032

---

🛡️ Security Notes

• Fully Local: All checks happen on your machine, never sent anywhere.
• Open Source: Review or modify code to your requirements.
• No logging: No access logs, no tracking, no history, no cloud.
• Password field: Uses secure HTML <input type="password">.

Want to hash passwords before storage/search for extra privacy? See the FAQ below.

---

⚙️ Advanced Usage

• Supports any size .txt file (as big as your disk allows)
• UI is fully responsive and dark themed
• For ultra-huge lists, consider SSD for best performance

---

📖 FAQ

Q: Is this the same as HaveIBeenPwned? A: No—this is local only and never queries any remote service.

Q: Can I hash my password before checking? A: Yes, the app can be modified to hash with SHA1/SHA256 (see comments in code).

Q: Can I use LevelDB/RocksDB or Bloom filters for even faster performance? A: Yes! Open an issue or PR, or ask for sample code.

---

💡 Credits

• UI inspired by cyberpunk/hacker themes
• Developed in Python & Flask
• Made with ❤️ for privacy by [your name or team]

---

📜 License

MIT License. See LICENSE.

---