🛡️ Threat Intelligence Dashboard

A real-time cyber threat monitoring and analysis dashboard built with React, TailwindCSS, Recharts, and Lucide Icons.
This project simulates threat intelligence feeds, provides risk analysis, anomaly detection, and includes features like historical data trends, WhatsApp alerts, and dark mode.

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🚀 Features

✅ Real-Time Threat Simulation

• Randomized threat data (IP, Country, Threat Type, Confidence Score).
• Supports filtering by country, threat type, and time range.

✅ Threat Intelligence Analytics

• Pie Charts for Threat Type Distribution.
• Bar Charts for Top Countries.
• Line & Area Charts for Historical Threat Trends.

✅ Machine Learning Inspired Risk Assessment

• Confidence-based anomaly detection (low & high confidence treated as anomalies).
• High-risk identification.

✅ Interactive Dashboard

• 📅 Filter by 24 hours / 7 days / 30 days.
• 🌙 Dark Mode / ☀️ Light Mode toggle.
• 🔔 Real-time alert notifications.
• 📲 WhatsApp alert integration.

✅ Modular & Scalable Architecture

• Easy to extend with real APIs.
• Designed for future upgrades with minimal changes.

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📂 Project Structure

ThreatDashboard/ │── src/ │ ├── components/ │ │ └── ThreatDashboard.jsx # Main Dashboard Component │ ├── App.jsx │ ├── index.jsx │── public/ │── package.json │── tailwind.config.js │── README.md

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🛠️ Tech Stack

• Frontend: React, TailwindCSS, Lucide-React
• Charts: Recharts (Pie, Bar, Line, Area Charts)
• Alerts: Custom notification system + WhatsApp integration
• Styling: Glassmorphism + Dark/Light Themes

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⚡ Installation & Setup

1️⃣ Clone repo:

git clone https://github.com/your-username/threat-dashboard.git
cd threat-dashboard

2️⃣ Install dependencies:

npm install


3️⃣ Run the app locally:

npm run dev


4️⃣ Open in browser:
👉 http://localhost:5173

Screenshots

Screenshot 2025-10-03 164503.png
Screenshot 2025-10-03 164521-1.png 
Screenshot 2025-10-03 164447.png

WhatsApp Alerts Setup

Click WhatsApp Setup in dashboard.

Enter phone number with country code (e.g., 919876543210).

Alerts will be sent directly to WhatsApp via wa.me API.

🧠 Future Upgrades

🔗 Integrate real threat intelligence APIs (AlienVault OTX, VirusTotal, AbuseIPDB).

🤖 Use ML models for actual anomaly detection.

☁️ Deploy on cloud (AWS/GCP/Azure).

🗄️ Store threat logs in MongoDB / PostgreSQL.

👨‍💻 Author

Made by Kunal Suresh Pawar

📧 Contact: kunalpawar13042004@gmail.com

🌍 GitHub: Kunal-1304

📜 License

This project is licensed under the MIT License.