CyberShield is a web-based cybersecurity platform designed to detect malicious URLs, phishing attacks, and suspicious domains in real time. The system analyzes user-submitted links using automated threat detection techniques and provides a security risk score indicating whether the link is safe or dangerous.
This project aims to help users identify cyber threats before interacting with harmful websites.
🔗 Try the project here: https://cybershield-arathi-0dms.onrender.com
- 🔍 URL Security Scanner – Analyze URLs to detect malicious links
- 🎣 Phishing Detection – Identify phishing websites and suspicious domains
- 🦠 Malware Link Detection – Detect links associated with malware distribution
- 🌍 Domain Reputation Analysis – Check domain credibility using threat intelligence
- 📊 Risk Score Generation – Classifies links as Safe, Suspicious, or Dangerous
- 📈 Security Result Dashboard – Displays results in a simple and user-friendly interface
The system follows a modular architecture:
- User Interface – Users submit URLs through the web interface
- Backend API – Handles requests and processes security analysis
- Threat Detection Engine – Runs phishing and malware detection modules
- Threat Intelligence Sources – Checks domain reputation and security data
- Risk Score Engine – Calculates security risk level
- Result Dashboard – Displays analysis results to the user
- The user enters a suspicious URL in the CyberShield interface.
- The request is sent to the backend server.
- The threat detection engine analyzes the link.
- Domain reputation and security signatures are checked.
- The system calculates a risk score based on threat indicators.
- The result is displayed as Safe, Suspicious, or Dangerous.
- HTML
- CSS
- JavaScript
- Node.js / Python
- URL scanning APIs
- Threat intelligence databases
- Render Cloud Platform
CyberShield/
│
├── frontend/ # User interface
├── backend/ # Server-side logic
├── models/ # Data models
├── routes/ # API routes
├── docs/ # Architecture diagrams
└── README.md
Clone the repository and run locally:
git clone https://github.com/yourusername/cybershield.git
cd cybershield
npm install
npm start
Open the browser and go to:
http://localhost:3000
- AI-based phishing detection using machine learning
- Browser extension for real-time protection
- Email phishing detection module
- Integration with threat intelligence platforms
- User login and threat history tracking
Contributions are welcome. If you would like to improve CyberShield, feel free to fork the repository and submit a pull request.
This project is developed for educational and research purposes.
Arathi S M Cybersecurity Enthusiast | AI & Security Learner