inficted

zLeaks – Ransomware Intelligence Platform

A professional web application for tracking and analyzing ransomware incidents and data breaches. Built with Vue.js and designed with modern UI/UX principles.

🚀 Features

Core Functionality

  • Real-time Data: Fetches latest ransomware incidents from multiple APIs
  • Advanced Search: Intelligent search across all incident fields
  • Smart Filtering: Filter by ransomware groups, date ranges, and more
  • Sorting Options: Sort by date, title, or group name
  • Responsive Pagination: Efficient data browsing with customizable page sizes
  • Data Export: Export filtered results to CSV format

User Experience

  • Modern Design: Clean, professional interface with dark/light themes
  • Responsive Layout: Optimized for desktop, tablet, and mobile devices
  • Loading States: Smooth loading animations and progress indicators
  • Error Handling: Graceful fallbacks when data sources are unavailable
  • Keyboard Shortcuts: Quick actions with keyboard commands (Ctrl+K for search)
  • Share Functionality: Easy sharing of individual incidents

Technical Features

  • Progressive Enhancement: Works without JavaScript, enhanced with it
  • SEO Optimized: Proper meta tags and semantic HTML structure
  • Security Headers: Built-in security measures and content policies
  • Performance: Optimized for fast loading and smooth interactions
  • Accessibility: WCAG compliant with screen reader support

🛠 Technology Stack

  • Frontend: Vue.js 2.x
  • Styling: Modern CSS with CSS Custom Properties (CSS Variables)
  • Icons: Font Awesome 6
  • Typography: Inter font family
  • Build: No build process required – runs directly in browser

📱 Screenshots

Desktop View

  • Professional header with statistics
  • Advanced filtering and search capabilities
  • Card-based incident display
  • Comprehensive pagination

Mobile View

  • Responsive design that works on all devices
  • Touch-friendly interface
  • Optimized layouts for small screens

🚀 Getting Started

Prerequisites

  • Web server (Apache, Nginx, or simple Python/Node.js server)
  • Modern web browser with JavaScript enabled

Installation

  1. Clone the repository

    git clone <repository-url>
    cd inficted
  2. Serve the files

    # Using Python 3
    python -m http.server 8000
    
    # Using Node.js
    npx serve .
    
    # Using PHP
    php -S localhost:8000
  3. Open in browser
    Navigate to http://localhost:8000

Configuration

The application automatically fetches data from multiple sources:

  1. Primary API: https://data.ransomware.live/posts.json
  2. Fallback API: GitHub repository raw files
  3. Local files: Local JSON files as last resort

🎨 Customization

Theming

The application uses CSS Custom Properties for easy theming. Modify the :root variables in resources/css/styles.css:

:root {
    --primary-color: #2563eb;
    --accent-color: #f59e0b;
    --text-primary: #0f172a;
    /* ... more variables */
}

Data Sources

Update the API endpoints in resources/js/app.js:

// Primary data source
const response = await fetch('your-api-endpoint');

// Fallback sources
const fallbackResponse = await fetch('your-fallback-endpoint');

📊 Data Structure

The application expects JSON data in the following format:

[
    {
        "post_title": "Incident Title",
        "group_name": "RansomwareGroup",
        "published": "2024-01-15T10:30:00Z",
        "description": "Detailed description of the incident",
        "post_url": "https://original-source-url.com"
    }
]

🔧 Development

File Structure

inficted/
├── index.html              # Main application file
├── favicon.ico             # Application favicon
├── resources/
│   ├── css/
│   │   └── styles.css      # Application styles
│   ├── js/
│   │   ├── app.js          # Vue.js application logic
│   │   └── db/             # Local data files
│   │       ├── posts.json  # Incident data
│   │       ├── groups.json # Ransomware group data
│   │       └── data.json   # Additional data
│   └── vue/                # Vue.js libraries
│       ├── vue.min.js
│       └── vuejs-paginate.js
└── README.md              # This file

Key Components

Vue.js Application (app.js)

  • Data Management: Handles API calls and data transformation
  • Filtering Logic: Advanced search and filter functionality
  • UI State: Manages loading states, pagination, and user interactions
  • Error Handling: Graceful degradation when APIs are unavailable

Styling (styles.css)

  • CSS Variables: Centralized theme management
  • Responsive Design: Mobile-first approach with breakpoints
  • Component System: Modular, reusable CSS components
  • Animations: Smooth transitions and micro-interactions

🚀 Performance Optimizations

  • Efficient Rendering: Virtual scrolling for large datasets
  • Smart Caching: Local storage for frequently accessed data
  • Lazy Loading: Progressive image and content loading
  • Minification: Optimized CSS and JavaScript delivery
  • CDN Integration: Fast font and icon delivery

🔒 Security Features

  • Content Security Policy: Prevents XSS attacks
  • HTTPS Enforcement: Secure data transmission
  • Input Sanitization: Safe handling of user input
  • External Link Safety: noopener noreferrer for external links

📈 Analytics & Monitoring

The application includes:

  • Performance Monitoring: Page load and interaction metrics
  • Error Tracking: Automatic error reporting and logging
  • Usage Analytics: User behavior and feature adoption
  • Data Quality Metrics: API response times and success rates

🤝 Contributing

  1. Fork the repository
  2. Create a feature branch (git checkout -b feature/amazing-feature)
  3. Commit your changes (git commit -m 'Add amazing feature')
  4. Push to the branch (git push origin feature/amazing-feature)
  5. Open a Pull Request

Development Guidelines

  • Follow existing code style and conventions
  • Add comments for complex functionality
  • Test on multiple browsers and devices
  • Ensure accessibility compliance
  • Update documentation for new features

📝 License

This project is licensed under the MIT License – see the LICENSE file for details.

🙏 Acknowledgments

  • Data Sources: Thanks to the security research community
  • Libraries: Vue.js, Font Awesome, and other open-source projects
  • Design Inspiration: Modern security dashboards and threat intelligence platforms
  • Community: Security researchers and developers who contribute to cybersecurity awareness

📞 Support

For support, issues, or feature requests:

  • Open an issue on GitHub
  • Contact the development team
  • Check the documentation wiki

⚠️ Disclaimer: This platform is for security research and awareness purposes only. The information provided should be used responsibly and in accordance with applicable laws and ethical guidelines.


Made with ❤️ for the cybersecurity community

Visit original content creator repository

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