🛡️ Cybersecurity Toolkit 🔐

A voice-enhanced, dark-mode-friendly web app built with Flask for analyzing:

• 📩 Phishing Emails
• 🌐 Suspicious URLs
• 🛠️ Basic Vulnerability Port Scans

Built with ❤️ using Python, Flak, HTML, CSS, and JavaScript.

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🔍 Preview

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🚀 Live Demo

🔗 Try the app

✅ Always-on
💬Voice-Enabled 🚄 Built with Flask + JS + Cyber 🛡️

🚀 Features

• ⚡ Clean, responsive UI with light/dark mode toggle
• 🔊 Voice greetings and alerts using Web Speech API
• 🔐 Detects phishing content, suspicious URLs, and open ports
• 🎯 Minimal setup, perfect for demos, portfolios, or security labs
• 💡 Lightweight setup — perfect for demos, portfolios, or quick threat analysis
• 🧪 Built for hands-on cybersecurity awareness

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🗂️ Project Structure

Cybersecurity-Toolkit/
├── app.py               # Main Flask app
├── phishing.py          # Phishing detection logic
├── url_scan.py          # URL scanning logic
├── vuln_scan.py         # Port scanner
├── requirements.txt     # Python dependencies
│
├── templates/
│   └── index.html       # Frontend HTML
│
└── static/
    ├── css/
    │   └── style.css    # Styles
    └── js/
        └── script.js    # JavaScript (theme, voice, fetch)

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🛠️ Tech Stack

• Frontend: HTML, CSS, JavaScript
• Backend: Python + Flask
• Deployment: Railway
• Voice Feature: Web Speech API (JS)

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🧠 Modules

• phishing.py: Detects high-risk phrases used in phishing attempts
• url_scan.py: Scans URLs using heuristics + VirusTotal API
• vuln_scan.py: Scans for common exposed ports on target IP/domains
• script.js: Controls UI, fetch calls, voice feedback, and animations

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🧪 How to Run Locally

# 1. Clone the repo
git clone https://github.com/YOUR_USERNAME/YOUR_REPO_NAME.git

# 2. Navigate into the folder
cd YOUR_REPO_NAME

# 3. Install dependencies
pip install -r requirements.txt

# 4. Run the app
python app.py






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