Audio Fingerprint Hash

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Your Audio Context Fingerprint

Audio fingerprinting generates audio signals and measures tiny differences in how your hardware processes sound.

Generating audio fingerprint...

1. Technical Classification

Web Audio API JavaScript Client-Side Hardware Fingerprinting

Audio fingerprinting exploits the Web Audio API to create unique identifiers based on hardware and software audio processing differences. This technique:

2. Background & Purpose

Audio fingerprinting was discovered as a tracking technique around 2014 when researchers found that the Web Audio API, designed for audio games and music applications, could be exploited for device identification.

How Audio Fingerprinting Works

  1. JavaScript creates an AudioContext (Web Audio API)
  2. Generates an oscillator signal (typically triangle or sine wave)
  3. Applies audio processing nodes (compressor, filters, analyzers)
  4. Captures the processed audio output data
  5. Small hardware/software differences create unique output
  6. Hashes the audio data to create tracking identifier

Why Audio Processing Differs

Audio output varies based on:

Silent Tracking: No actual sound is played—all processing happens in memory. Users are completely unaware this fingerprinting is occurring.

3. Technical Implementation

Basic Audio Fingerprinting Code

async function generateAudioFingerprint() { const audioContext = new (window.AudioContext || window.webkitAudioContext)(); // Create oscillator const oscillator = audioContext.createOscillator(); oscillator.type = 'triangle'; oscillator.frequency.value = 10000; // Add compressor for more variation const compressor = audioContext.createDynamicsCompressor(); compressor.threshold.value = -50; compressor.knee.value = 40; compressor.ratio.value = 12; compressor.attack.value = 0; compressor.release.value = 0.25; // Connect nodes oscillator.connect(compressor); compressor.connect(audioContext.destination); // Start and capture oscillator.start(0); const analyser = audioContext.createAnalyser(); compressor.connect(analyser); // Extract frequency data const dataArray = new Float32Array(analyser.frequencyBinCount); analyser.getFloatFrequencyData(dataArray); // Hash the audio data return hashArray(dataArray); }

What Makes It Unique

Factor How It Affects Fingerprint
Audio Chipset Realtek, Intel HDA, Creative, etc. have different DSP implementations
Browser Engine Chrome (Blink), Firefox (Gecko), Safari (WebKit) process audio differently
Operating System Windows, macOS, Linux use different audio APIs and precision
CPU/FPU Floating-point calculation precision varies between Intel, AMD, ARM
Driver Version Audio driver updates can change processing characteristics
Audio Enhancements Dolby, DTS, equalizers alter audio processing

4. Common Uses

Legitimate Uses (Minimal)

Privacy-Invasive Uses (Common)

5. Platform & Hardware Differences

Desktop Platforms

Windows Audio Stack

Uses WASAPI or DirectSound. Realtek HD Audio is extremely common. Windows audio enhancements (spatial sound, loudness equalization) affect fingerprint.

macOS Audio Stack

Uses CoreAudio. More consistent across devices due to Apple's hardware control, but still distinguishable from Windows/Linux.

Linux Audio Stack

Uses ALSA, PulseAudio, or PipeWire. High variability due to diverse distributions and audio configurations.

Mobile Devices

External Audio Devices

Using USB DACs, audio interfaces, or Bluetooth audio creates different fingerprints than built-in audio.

6. Privacy Implications & Tracking Risks

Privacy Risk: VERY HIGH

Audio fingerprinting creates a highly unique, persistent identifier based on your hardware that cannot be easily changed without replacing components.

Why Audio Fingerprinting Is Particularly Invasive

Hardware-Level Tracking

Unlike software-based identifiers, audio fingerprints reflect your physical hardware. Changing this requires replacing sound cards or motherboards—impractical for most users.

Silent and Invisible

Audio fingerprinting produces no sound and leaves no trace. Users have no indication it's happening. No permissions are required.

Cross-Browser Tracking

While browser differences exist, audio fingerprints are similar enough across browsers on the same device to enable cross-browser tracking.

Tracking Persistence

Real-World Privacy Threats

Advertising Networks

Major ad networks use audio fingerprinting as part of device identification to track users across websites and build advertising profiles.

Account De-anonymization

If you use the same device for anonymous and identified accounts, audio fingerprinting can link them together.

Location Correlation

Combined with other data, audio fingerprints can help identify when different people use the same device (shared computers, internet cafes).

Difficulty of Change

Unlike cookies or IP addresses, audio fingerprints are extremely difficult to change:

7. Protection & Countermeasures

Browser-Based Protections

Tor Browser (Most Effective)

Method: Blocks or returns standardized audio data

Effectiveness: Very High - prevents audio fingerprinting

Tradeoff: Web audio applications may not function

Brave Browser

Method: Adds random noise to audio output (farbling)

Effectiveness: High - makes fingerprint unstable

Tradeoff: Minimal impact on legitimate audio applications

Firefox with privacy.resistFingerprinting

Method: Reduces precision of audio data

Enable: about:configprivacy.resistFingerprinting = true

Effectiveness: Moderate - reduces but doesn't eliminate uniqueness

Browser Extensions

Manual Protection Strategies

What Doesn't Work

Best Protection: Use Brave Browser (automatic audio farbling) or Tor Browser (blocks audio fingerprinting). For Firefox users, enable privacy.resistFingerprinting.

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