Total Data Points

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Your Total Data Points Collected

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This represents the total number of distinct data points BrowserTrace collected from your browser.

1. Technical Classification

Composite Metric Client-Side Fingerprinting Indicator Privacy Benchmark

The total data points metric is a composite measurement that counts every individual piece of information that can be extracted from your browser and device. Unlike single attributes (like User Agent or Screen Resolution), this metric represents:

2. Background & Purpose

Browser fingerprinting relies on collecting as many data points as possible to create a unique profile. The more data points available, the more unique and trackable each browser becomes.

The Evolution of Data Collection

Early Web (1990s-2000s)

Available Data Points: ~5-10

Only basic information like IP address, browser type, and screen resolution were available. Tracking required cookies or server-side session management.

Modern Web (2010s)

Available Data Points: ~20-30

HTML5 and advanced JavaScript APIs introduced canvas fingerprinting, WebGL, audio context, and hardware detection capabilities.

Current Web (2020s+)

Available Data Points: 40-60+

Modern browsers expose extensive device information, hardware specs, network characteristics, battery status, media devices, and sophisticated rendering fingerprints.

Why More Data Points Matter

The relationship between data points and uniqueness isn't linear—it's exponential. Each additional data point multiplies the potential combinations:

3. Data Point Categories & Examples

Typical Data Point Breakdown

Network Attributes (8-12 points)

  • IP Address
  • User Agent String
  • Accept Language(s)
  • Time Zone & Offset
  • Online Status
  • Connection Type (WiFi, Cellular, etc.)
  • Download Speed Estimate
  • Round Trip Time (RTT)

Browser & System Attributes (15-20 points)

  • Operating System
  • OS Version
  • Browser Name & Version
  • Rendering Engine
  • Platform
  • CPU Cores
  • CPU Architecture
  • Device Type (Desktop/Mobile/Tablet)
  • Device Vendor & Model
  • Screen Resolution
  • Available Screen Size
  • Window Size
  • Color Depth
  • Device Pixel Ratio
  • Touch Support
  • Local Storage Support
  • Cookies Enabled
  • Browser Plugins
  • Memory (JS Heap Size)

Rendering & Graphics Attributes (12-15 points)

  • Canvas Fingerprint Hash
  • Canvas Raw Data
  • WebGL Support
  • WebGL Version
  • GPU Vendor
  • GPU Renderer
  • Max Texture Size
  • WebRTC Support
  • Audio Context Fingerprint
  • Audio Sample Rate
  • Detected Fonts
  • Font List

Hardware & Sensor Attributes (5-10 points)

  • Battery Level
  • Battery Charging Status
  • Media Devices (cameras, microphones)
  • Geolocation API Support
  • Device Motion/Orientation Sensors

Meta Attributes (3-5 points)

  • Total Data Points (this metric)
  • Uniqueness Score
  • Fingerprint Hash
  • Collection Timestamp

BrowserTrace Data Collection

BrowserTrace collects approximately 45-55 data points depending on your browser's capabilities and what features are available. Some data points may not be collectible on all devices:

4. Common Legitimate Uses

Privacy & Security Auditing

Fraud Detection & Security

Analytics & Research

5. Data Point Availability Across Platforms

Platform/Browser Typical Data Points Fingerprinting Risk
Chrome (Desktop) 50-55 points Very High - Exposes extensive hardware and rendering data
Firefox (Desktop) 45-50 points High - Enhanced Tracking Protection reduces some exposure
Safari (Desktop) 40-45 points Medium-High - Intelligent Tracking Prevention limits some APIs
Brave Browser 35-40 points Medium - Aggressive fingerprint randomization
Tor Browser 30-35 points Low - Standardized fingerprint, many APIs disabled
Chrome (Mobile) 48-52 points Very High - Includes device-specific mobile attributes
Safari (iOS) 42-46 points High - More standardized than Android but still trackable

Factors Affecting Data Point Count

6. Privacy Implications & Tracking Risks

Privacy Risk: HIGH

The sheer volume of data points creates an exponentially unique fingerprint. Even with cookie blocking, your browser can be tracked across websites and over time.

The Uniqueness Problem

Research from the Electronic Frontier Foundation's "Panopticlick" study found that:

Mathematical Uniqueness Growth

The probability of uniqueness grows exponentially with each additional data point:

// Simplified uniqueness calculation // Assuming each data point has 'n' possible values function calculateUniqueness(dataPoints, avgPossibleValues) { // Total possible combinations const totalCombinations = Math.pow(avgPossibleValues, dataPoints); // Estimated global browser population const globalBrowsers = 5000000000; // 5 billion // Probability of being unique const uniquenessProbability = 1 - (globalBrowsers / totalCombinations); return (uniquenessProbability * 100).toFixed(2) + '%'; } // Examples: calculateUniqueness(10, 10); // ~99.99% unique calculateUniqueness(30, 8); // ~99.999999% unique calculateUniqueness(50, 5); // Astronomically unique

Real-World Tracking Scenarios

Cross-Site Tracking

Even without third-party cookies, websites can share fingerprints through tracking networks. If Site A and Site B both use the same analytics service, your fingerprint links your activity across both sites.

Session Persistence

Clearing cookies doesn't clear your fingerprint. Websites can recognize you immediately upon return, making "fresh start" browsing impossible.

Evercookie Techniques

Combining traditional cookies with fingerprinting creates "zombie cookies" that resurrect after deletion by matching fingerprints to backed-up cookie values.

Time-Based Tracking

More data points also enable:

Commercial Fingerprinting Services

Companies like FingerprintJS, Iovation, ThreatMetrix, and others collect 50-100+ data points including:

7. How to Reduce Data Point Exposure

Reducing the number of collectible data points requires browser-level protections. Individual data points cannot be easily disabled—you need comprehensive anti-fingerprinting strategies.

1. Privacy-Focused Browsers

Tor Browser (Most Effective)

Data Point Reduction: ~30-35 points (vs 50+ in Chrome)

  • Standardizes many attributes to blend with other users
  • Disables WebGL, canvas data access, and hardware info
  • Randomizes some values per session
  • Best for maximum privacy

Brave Browser (Good Balance)

Data Point Reduction: ~35-40 points

  • Randomizes canvas and audio fingerprints
  • Blocks WebGL readouts
  • Reduces hardware information exposure
  • Still functional for everyday browsing

Firefox with Privacy Extensions (Moderate)

Data Point Reduction: ~40-45 points

  • Enhanced Tracking Protection blocks many trackers
  • CanvasBlocker extension prevents canvas fingerprinting
  • about:config tweaks can disable specific APIs
  • Privacy Badger and uBlock Origin help

2. Browser Configuration

// Firefox about:config settings to reduce data points // Disable WebGL webgl.disabled = true // Disable Canvas Data Extraction privacy.resistFingerprinting = true // Disable Battery API dom.battery.enabled = false // Disable WebRTC media.peerconnection.enabled = false // Reduce timing precision privacy.reduceTimerPrecision = true // Disable Geolocation geo.enabled = false // Disable Device Sensors device.sensors.enabled = false

3. Browser Extensions

4. What Doesn't Work

The Trade-off Dilemma

Reducing data points has consequences:

Recommended Strategy

Use Brave or Firefox with moderate privacy extensions for daily browsing. Switch to Tor Browser for truly sensitive activities. Accept that complete anonymity requires significant usability sacrifices.

8. Learn More