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Browser Fingerprinting Tool

Advanced browser fingerprinting for enhanced security and fraud detection.

🎯 What is Browser Fingerprinting?​

Browser fingerprinting collects unique device and browser characteristics to create a distinctive "fingerprint" that helps identify users across sessions while maintaining privacy.

⚙️ Setup & Configuration​

Basic Implementation​

<script 
  async 
  src="https://api.trustedaccounts.org/js-sdk.js" 
  onload="new TrustedTraffic({publishableKey:'YOUR_PUBLISHABLE_KEY'}).init()">
</script>

<script>
// Get browser fingerprint
const fingerprint = trustedTraffic.getFingerprint();
console.log('Browser fingerprint:', fingerprint);

// Send fingerprint to your server for analysis
fetch('/api/analyze-fingerprint', {
  method: 'POST',
  headers: { 'Content-Type': 'application/json' },
  body: JSON.stringify({ fingerprint })
});
</script>

Advanced Configuration​

<script 
  async 
  src="https://api.trustedaccounts.org/js-sdk.js" 
  onload="new TrustedTraffic({
    publishableKey: 'YOUR_PUBLISHABLE_KEY',
    onReady: (fingerprint) => {
      console.log('Fingerprint ready:', fingerprint);
      // Send fingerprint to your server
      sendFingerprintToServer(fingerprint);
    }
  }).init()">
</script>

🔍 Fingerprint Data​

The fingerprint includes:

  • Browser Information: User agent, language, timezone
  • Screen Properties: Resolution, color depth, orientation
  • Hardware Details: CPU cores, memory, device type
  • Network Information: Connection type, IP geolocation
  • Behavioral Patterns: Typing speed, mouse movements
  • Security Features: WebRTC, Canvas, WebGL fingerprints

📊 Real-Time Analytics​

Monitor fingerprinting effectiveness:

  • Unique Fingerprints: Number of distinct device signatures
  • Fingerprint Quality: Confidence score for each fingerprint
  • Anomaly Detection: Unusual fingerprint patterns
  • Device Tracking: Cross-session device identification

🛡️ Privacy & Compliance​

  • GDPR Compliant: No personal data collection
  • Privacy-First: Anonymized fingerprinting only
  • User Consent: Optional consent management
  • Data Minimization: Only necessary characteristics collected

🎯 Use Cases​

  • Fraud Prevention: Detect suspicious device patterns
  • Account Security: Identify unauthorized access attempts
  • Bot Detection: Distinguish between humans and bots
  • Risk Assessment: Evaluate user trustworthiness
  • Analytics: Understand user device diversity

📈 Best Practices​

  1. Combine with Other Signals: Use alongside IP analysis and behavioral data
  2. Respect Privacy: Always inform users about fingerprinting
  3. Regular Updates: Keep fingerprinting algorithms current
  4. Fallback Methods: Have alternative verification methods
  5. Performance: Minimize impact on page load times

🔗 Related Tools​

Ready to implement? Get your publishable key from the Developer Console and start fingerprinting in minutes!