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The Digital Footprint Detection Browser Extension is an advanced cybersecurity tool designed to enhance user privacy and awareness. Traditional solutions were fragmented, requiring multiple plugins to monitor cookies, trackers, and fingerprints, while providing only raw data with limited usability.

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🛡️ Digital Footprint Detection Browser Extension

A privacy-centric Chrome/Chromium browser extension that detects trackers, cookies, fingerprints, and security signals in real-time — analyzes a browsing session’s digital footprint and presents actionable insights.

🚀 Project Overview

Modern web browsing exposes users to a mix of tracking mechanisms — from simple cookies to complex device fingerprinting techniques. Traditional tools often offer fragmented or raw data with limited visibility. This extension centralizes multiple layers of browser privacy analysis into a unified, interactive dashboard, empowering users to understand and control their digital exposure.

Through real-time monitoring and risk scoring, the extension evaluates each visited website on privacy and security parameters, helping users make informed decisions about their online behavior.

🧩 Key Features

Feature Description
🍪 Cookie Monitoring Enumerates cookies set by first- and third-party domains.
👣 Tracker Detection Flags known tracking domains and third-party scripts.
🧠 Fingerprint Analysis Identifies common fingerprinting elements in the current page.
📊 Dynamic Risk Score Computes a session privacy risk score based on detected elements.
🔐 Security Signals Captures and displays SSL/TLS certificate details of the current site.
📁 Export Reports Export collected session data as structured CSV or Excel files.
🌗 UI Themes Supports light/dark mode for better accessibility.
⚙️ Real-Time Updates Runs continuously while browsing to update insights live.

🛠️ How It Works (Technical Architecture)

This extension uses Chrome’s Manifest V3 APIs along with content and background scripts to perform deep session analysis:

📌 1. Manifest (manifest.json)

Defines:

  • Required permissions (cookies, activeTab, webRequest, etc.)
  • All scripts (background, content, popup)
  • Icons and UI placements

This is the core metadata file that tells Chrome how to load/execute the extension.

📌 2. Content Script (content.js)

Injected into each web page:

  • Inspects webpage DOM
  • Extracts fingerprinting markers
  • Detects scripts, iframes, and tracker behavior

Data collected here is passed to the background script via Chrome’s messaging API.

📌 3. Background Script (background.js)

Acts as a long-running controller:

  • Receives messages from content scripts
  • Aggregates tracking/cookie/fingerprint data
  • Computes the privacy risk score
  • Stores session data temporarily
  • Handles communication with the popup UI

The background context persists across page navigations.

📌 4. Popup UI (popup.html, popup.js, styles.css)

User Interaction Layer:

  • Displays session summary, cookie/tracker lists, and risk score
  • Allows Export and Theme Selection
  • Offers intuitive charts/tables for quick insights

The UI queries the background script for the latest aggregated data.

📌 5. Data Encryption (Optional Utility, e.g., dataEncryption.js)

If present, this utility can:

  • Secure sensitive storage in chrome.storage or IndexedDB
  • Hash or encrypt data before export or storage

Use this for safeguarding user data while persisting or exporting reports.

📦 Repository Structure

Digital-Footprint-Detection-Browser-Extension/

├── background.js # Manages global extension logic

├── content.js # Page-level scanning for trackers/fingerprint

├── dataEncryption.js # (Optional) Secure storage/encryption utilities

├── icon.png # Extension icon

├── manifest.json # Chrome extension metadata & permissions

├── popup.html # Popup dashboard UI

├── popup.js # Popup UI controller

├── styles.css # UI styling

└── README.md # Project documentation

📥 Installation (For Developers & Testers)

To install locally for testing or development:

  1. Clone the repository

    bash git clone https://github.com/vedantjoshi654/Digital-Footprint-Detection-Browser-Extension.git

  2. Open Chrome/Edge/Brave Go to:

    chrome://extensions/

  3. Enable Developer Mode Toggle the switch in the top-right corner.

  4. Load unpacked extension Click Load unpacked and select the cloned project directory.

  5. The extension icon will appear in the toolbar — click it to view the dashboard.

🎯 Using the Extension

  1. Visit any website.

  2. Click the extension toolbar icon.

  3. The popup will show:

    • List of detected cookies
    • Identified trackers & fingerprint signals
    • Session risk score
    • SSL/TLS status and security flags
    • Export options (CSV/Excel)

Note: You may need to grant specific permissions if prompted.

🛡️ Risk Scoring Explained

The extension creates a composite risk score based on:

  • Number and type of trackers
  • Presence of persistent cookies
  • Evidence of fingerprinting patterns
  • Security indicators from certificate information

Scores help users quickly assess how “privacy aggressive” a session or site is.

🧪 Developer Notes

  • The extension uses Chrome Manifest V3 event-driven background scripts.
  • Messaging between content and background layers uses chrome.runtime.sendMessage.
  • Persistent data (if any) should use chrome.storage.local or IndexedDB for scoped browser storage.
  • IndexedDB may be used to store larger session logs and export history.

🤝 Contributing

Contributions are welcome — whether:

  • Improving detection heuristics
  • Adding new threat signals (e.g., WebRTC leaks)
  • Enhancing UI visualizations
  • Supporting Firefox/Edge cross-compatibility
  1. Fork the repository.
  2. Create a feature branch (git checkout -b feature/xyz).
  3. Submit a pull request with detailed description.

📜 License

This project is open-source.

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The Digital Footprint Detection Browser Extension is an advanced cybersecurity tool designed to enhance user privacy and awareness. Traditional solutions were fragmented, requiring multiple plugins to monitor cookies, trackers, and fingerprints, while providing only raw data with limited usability.

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