File: usercharacteristics.js

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/* This Source Code Form is subject to the terms of the Mozilla Public
 * License, v. 2.0. If a copy of the MPL was not distributed with this
 * file, You can obtain one at https://mozilla.org/MPL/2.0/. */

// Defined by gl-matrix.js
/* global mat4 */

// Defined by ssdeep.js
/* global ssdeep */

// =============================================================
// Utility Functions

var debugMsgs = [];
function debug(...args) {
  let msg = "";
  if (!args.length) {
    debugMsgs.push("");
    return;
  }

  let stringify = o => {
    if (typeof o == "string") {
      return o;
    }
    return JSON.stringify(o);
  };

  let stringifiedArgs = args.map(stringify);
  msg += stringifiedArgs.join(" ");
  debugMsgs.push(msg);

  // Also echo it locally
  /* eslint-disable-next-line no-console */
  console.log(msg);
}

async function sha1(message) {
  const msgUint8 = new TextEncoder().encode(message);
  const hashBuffer = await window.crypto.subtle.digest("SHA-1", msgUint8);
  const hashArray = Array.from(new Uint8Array(hashBuffer));
  const hashHex = hashArray.map(b => b.toString(16).padStart(2, "0")).join("");
  return hashHex;
}

// ==============================================================
// Regular Canvases

function populateTestCanvases() {
  const data = {};
  const kImageBlob =
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";

  // Canvas 1 is just a box, this is a basic check that we can draw, it does
  // not attempt any fingerprinting.
  var canvas1 = document.getElementById("canvas1");
  var c1 = canvas1.getContext("2d");
  c1.fillStyle = "orange";
  c1.fillRect(100, 100, 50, 50);
  data.canvas1data = sha1(canvas1.toDataURL());

  // Canvas 2 is a polygon with lines, this fingerprints a little via
  // floating point rounding.
  var canvas2 = document.getElementById("canvas2");
  var c2 = canvas2.getContext("2d");
  c2.fillStyle = "blue";
  c2.beginPath();
  c2.moveTo(50, 50);
  c2.lineTo(200, 200);
  c2.lineTo(175, 100);
  c2.closePath();
  c2.fill();
  c2.strokeStyle = "red";
  c2.lineWidth = 5;
  c2.stroke();
  data.canvas2data = sha1(canvas2.toDataURL());

  // Canvas 3 renders an image at a reduced resolution, this also
  // fingerprints via floating point rounding.
  var canvas3 = document.getElementById("canvas3");
  var c3 = canvas3.getContext("2d");
  data.canvas3data = new Promise((resolve, reject) => {
    const image = new Image();
    // CC Public Domain - https://www.flickr.com/photos/birds_and_critters/53695948491/
    image.src = kImageBlob;
    image.onload = () => {
      c3.drawImage(image, 0, 0, canvas3.width, canvas3.height);
      sha1(canvas3.toDataURL()).then(resolve);
    };
    image.onerror = e => {
      reject(e);
    };
  });

  // Canvas 4 renders two rotated semi-transparent boxes.
  var canvas4 = document.getElementById("canvas4");
  var c4 = canvas4.getContext("2d");
  c4.fillStyle = "orange";
  c4.globalAlpha = 0.5;
  c4.translate(100, 100);
  c4.rotate((45.0 * Math.PI) / 180.0);
  c4.fillRect(0, 0, 50, 50);
  c4.rotate((-15.0 * Math.PI) / 180.0);
  c4.fillRect(0, 0, 50, 50);
  data.canvas4data = sha1(canvas4.toDataURL());

  // Canvas 5 renders text with a local font the user might have in a pretty standard configuration
  var canvas5 = document.getElementById("canvas5");
  var c5 = canvas5.getContext("2d");
  c5.fillStyle = "green";
  c5.font = "italic 30px Georgia";
  c5.fillText("The quick brown", 15, 100);
  c5.fillText("fox jumps over", 15, 150);
  c5.fillText("the lazy dog", 15, 200);
  data.canvas5data = sha1(canvas5.toDataURL());

  // Canvas 6 renders text with a local font the user might have but translated, rotated, and with a blurred shadow
  var canvas6 = document.getElementById("canvas6");
  var c6 = canvas6.getContext("2d");
  c6.fillStyle = "green";
  c6.translate(10, 100);
  c6.rotate((45.0 * Math.PI) / 180.0);
  c6.shadowColor = "blue";
  c6.shadowBlur = 50;
  c6.font = "italic 40px Georgia";
  c6.fillText("The quick", 0, 0);
  data.canvas6data = sha1(canvas6.toDataURL());

  // Canvas 7 renders text with a system font.
  var canvas7 = document.getElementById("canvas7");
  var c7 = canvas7.getContext("2d");
  c7.fillStyle = "green";
  c7.font = "italic 30px system-ui";
  c7.fillText("The quick brown", 15, 100);
  c7.fillText("fox jumps over", 15, 150);
  c7.fillText("the lazy dog", 15, 200);
  data.canvas7data = sha1(canvas7.toDataURL());

  // Canvas 8 renders text with a system font.
  var canvas8 = document.getElementById("canvas8");
  var c8 = canvas8.getContext("2d");
  c8.fillStyle = "green";
  c8.translate(10, 100);
  c8.rotate((45.0 * Math.PI) / 180.0);
  c8.shadowColor = "blue";
  c8.shadowBlur = 50;
  c8.font = "italic 40px system-ui";
  c8.fillText("The quick", 0, 0);
  data.canvas8data = sha1(canvas8.toDataURL());

  // Canvas 9 renders text with a supplied font.
  var canvas9 = document.getElementById("canvas9");
  var c9 = canvas9.getContext("2d");
  c9.fillStyle = "green";
  c9.font = "italic 30px LocalFiraSans";
  c9.fillText("The quick brown", 15, 100);
  c9.fillText("fox jumps over", 15, 150);
  c9.fillText("the lazy dog", 15, 200);
  data.canvas9data = sha1(canvas9.toDataURL());

  // Canvas 10 renders text with a supplied font.
  var canvas10 = document.getElementById("canvas10");
  var c10 = canvas10.getContext("2d");
  c10.fillStyle = "green";
  c10.translate(10, 100);
  c10.rotate((45.0 * Math.PI) / 180.0);
  c10.shadowColor = "blue";
  c10.shadowBlur = 50;
  c10.font = "italic 40px LocalFiraSans";
  c10.fillText("The quick", 0, 0);
  data.canvas10data = sha1(canvas10.toDataURL());

  return data;
}

// =======================================================================
// WebGL Canvases

function populateWebGLCanvases() {
  // The following WebGL code came from https://github.com/mdn/dom-examples/blob/4f305d21de796432dac2e9f2961591e4b7f913c0/webgl-examples/tutorial/sample3/webgl-demo.js
  // with some minor modifications

  const data = {};

  // --------------------------------------------------------------------
  // initBuffers
  //
  // Initialize the buffers we'll need. For this demo, we just
  // have one object -- a simple two-dimensional square.
  //
  function initBuffers(gl) {
    // Create a buffer for the square's positions.

    const positionBuffer = gl.createBuffer();

    // Select the positionBuffer as the one to apply buffer
    // operations to from here out.

    gl.bindBuffer(gl.ARRAY_BUFFER, positionBuffer);

    // Now create an array of positions for the square.

    const positions = [1.0, 1.0, -1.0, 1.0, 1.0, -1.0, -1.0, -1.0];

    // Now pass the list of positions into WebGL to build the
    // shape. We do this by creating a Float32Array from the
    // JavaScript array, then use it to fill the current buffer.

    gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(positions), gl.STATIC_DRAW);

    // Now set up the colors for the vertices

    var colors = [
      1.0,
      1.0,
      1.0,
      1.0, // white
      1.0,
      0.0,
      0.0,
      1.0, // red
      0.0,
      1.0,
      0.0,
      1.0, // green
      0.0,
      0.0,
      1.0,
      1.0, // blue
    ];

    const colorBuffer = gl.createBuffer();
    gl.bindBuffer(gl.ARRAY_BUFFER, colorBuffer);
    gl.bufferData(gl.ARRAY_BUFFER, new Float32Array(colors), gl.STATIC_DRAW);

    return {
      position: positionBuffer,
      color: colorBuffer,
    };
  }

  // --------------------------------------------------------------------
  // Draw the scene.
  function drawScene(gl, programInfo, buffers) {
    gl.clearColor(0.0, 0.0, 0.0, 1.0); // Clear to black, fully opaque
    gl.clearDepth(1.0); // Clear everything
    gl.enable(gl.DEPTH_TEST); // Enable depth testing
    gl.depthFunc(gl.LEQUAL); // Near things obscure far things

    // Clear the canvas before we start drawing on it.

    gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT);

    // Create a perspective matrix, a special matrix that is
    // used to simulate the distortion of perspective in a camera.
    // Our field of view is 45 degrees, with a width/height
    // ratio that matches the display size of the canvas
    // and we only want to see objects between 0.1 units
    // and 100 units away from the camera.

    const fieldOfView = (45 * Math.PI) / 180; // in radians
    const aspect = gl.canvas.clientWidth / gl.canvas.clientHeight;
    const zNear = 0.1;
    const zFar = 100.0;
    const projectionMatrix = mat4.create();

    // note: glmatrix.js always has the first argument
    // as the destination to receive the result.
    mat4.perspective(projectionMatrix, fieldOfView, aspect, zNear, zFar);

    // Set the drawing position to the "identity" point, which is
    // the center of the scene.
    const modelViewMatrix = mat4.create();

    var squareRotation = 1.0;

    // Now move the drawing position a bit to where we want to
    // start drawing the square.

    mat4.translate(
      modelViewMatrix, // destination matrix
      modelViewMatrix, // matrix to translate
      [-0.0, 0.0, -6.0]
    ); // amount to translate
    mat4.rotate(
      modelViewMatrix, // destination matrix
      modelViewMatrix, // matrix to rotate
      squareRotation, // amount to rotate in radians
      [0, 0, 1]
    ); // axis to rotate around

    // Tell WebGL how to pull out the positions from the position
    // buffer into the vertexPosition attribute
    {
      const numComponents = 2;
      const type = gl.FLOAT;
      const normalize = false;
      const stride = 0;
      const offset = 0;
      gl.bindBuffer(gl.ARRAY_BUFFER, buffers.position);
      gl.vertexAttribPointer(
        programInfo.attribLocations.vertexPosition,
        numComponents,
        type,
        normalize,
        stride,
        offset
      );
      gl.enableVertexAttribArray(programInfo.attribLocations.vertexPosition);
    }

    // Tell WebGL how to pull out the colors from the color buffer
    // into the vertexColor attribute.
    {
      const numComponents = 4;
      const type = gl.FLOAT;
      const normalize = false;
      const stride = 0;
      const offset = 0;
      gl.bindBuffer(gl.ARRAY_BUFFER, buffers.color);
      gl.vertexAttribPointer(
        programInfo.attribLocations.vertexColor,
        numComponents,
        type,
        normalize,
        stride,
        offset
      );
      gl.enableVertexAttribArray(programInfo.attribLocations.vertexColor);
    }

    // Tell WebGL to use our program when drawing

    gl.useProgram(programInfo.program);

    // Set the shader uniforms

    gl.uniformMatrix4fv(
      programInfo.uniformLocations.projectionMatrix,
      false,
      projectionMatrix
    );
    gl.uniformMatrix4fv(
      programInfo.uniformLocations.modelViewMatrix,
      false,
      modelViewMatrix
    );

    {
      const offset = 0;
      const vertexCount = 4;
      gl.drawArrays(gl.TRIANGLE_STRIP, offset, vertexCount);
    }
  }

  // --------------------------------------------------------------------
  // Initialize a shader program, so WebGL knows how to draw our data
  function initShaderProgram(gl, vsSource, fsSource) {
    const vertexShader = loadShader(gl, gl.VERTEX_SHADER, vsSource);
    const fragmentShader = loadShader(gl, gl.FRAGMENT_SHADER, fsSource);

    // Create the shader program

    const shaderProgram = gl.createProgram();
    gl.attachShader(shaderProgram, vertexShader);
    gl.attachShader(shaderProgram, fragmentShader);
    gl.linkProgram(shaderProgram);

    // If creating the shader program failed, alert

    if (!gl.getProgramParameter(shaderProgram, gl.LINK_STATUS)) {
      alert(
        "Unable to initialize the shader program: " +
          gl.getProgramInfoLog(shaderProgram)
      );
      return null;
    }

    return shaderProgram;
  }

  // --------------------------------------------------------------------
  //
  // creates a shader of the given type, uploads the source and
  // compiles it.
  //
  function loadShader(gl, type, source) {
    const shader = gl.createShader(type);

    // Send the source to the shader object
    gl.shaderSource(shader, source);

    // Compile the shader program
    gl.compileShader(shader);

    // See if it compiled successfully
    if (!gl.getShaderParameter(shader, gl.COMPILE_STATUS)) {
      alert(
        "An error occurred compiling the shaders: " +
          gl.getShaderInfoLog(shader)
      );
      gl.deleteShader(shader);
      return null;
    }

    return shader;
  }

  // --------------------------------------------------------------------
  const canvas = document.getElementById("glcanvas");
  const gl = canvas.getContext("webgl");

  // If we don't have a GL context, give up now

  if (!gl) {
    alert(
      "Unable to initialize WebGL. Your browser or machine may not support it."
    );
    return {};
  }

  // Vertex shader program

  const vsSource = `
    attribute vec4 aVertexPosition;
    attribute vec4 aVertexColor;

    uniform mat4 uModelViewMatrix;
    uniform mat4 uProjectionMatrix;

    varying lowp vec4 vColor;

    void main(void) {
      gl_Position = uProjectionMatrix * uModelViewMatrix * aVertexPosition;
      vColor = aVertexColor;
    }
  `;

  // Fragment shader program

  const fsSource = `
    varying lowp vec4 vColor;

    void main(void) {
      gl_FragColor = vColor;
    }
  `;

  // Initialize a shader program; this is where all the lighting
  // for the vertices and so forth is established.
  const shaderProgram = initShaderProgram(gl, vsSource, fsSource);

  // Collect all the info needed to use the shader program.
  // Look up which attributes our shader program is using
  // for aVertexPosition, aVevrtexColor and also
  // look up uniform locations.
  const programInfo = {
    program: shaderProgram,
    attribLocations: {
      vertexPosition: gl.getAttribLocation(shaderProgram, "aVertexPosition"),
      vertexColor: gl.getAttribLocation(shaderProgram, "aVertexColor"),
    },
    uniformLocations: {
      projectionMatrix: gl.getUniformLocation(
        shaderProgram,
        "uProjectionMatrix"
      ),
      modelViewMatrix: gl.getUniformLocation(shaderProgram, "uModelViewMatrix"),
    },
  };

  // Here's where we call the routine that builds all the
  // objects we'll be drawing.
  const buffers = initBuffers(gl);

  // Draw the scene
  drawScene(gl, programInfo, buffers);

  // Write to the fields
  data.glcanvasdata = sha1(canvas.toDataURL());

  return data;
}

// ==============================================================
// Fingerprint JS Canvases
function populateFingerprintJSCanvases() {
  const data = {};

  // fingerprintjs
  // Their fingerprinting code went to the BSL license from MIT in
  // https://github.com/fingerprintjs/fingerprintjs/commit/572fd98f9e4f27b4e854137ea0d53231b3b4eb6e
  // So use the version of the code in the parent commit which is still MIT
  // https://github.com/fingerprintjs/fingerprintjs/blob/aca79b37f7956eee58018e4a317a2bdf8be62d0f/src/sources/canvas.ts

  function renderTextImage(canvas, context) {
    context.textBaseline = "alphabetic";
    context.fillStyle = "#f60";
    context.fillRect(100, 1, 62, 20);

    context.fillStyle = "#069";
    // It's important to use explicit built-in fonts in order to exclude the affect of font preferences
    // (there is a separate entropy source for them).
    context.font = '11pt "Times New Roman"';
    // The choice of emojis has a gigantic impact on rendering performance (especially in FF).
    // Some newer emojis cause it to slow down 50-200 times.
    // There must be no text to the right of the emoji, see https://github.com/fingerprintjs/fingerprintjs/issues/574
    // A bare emoji shouldn't be used because the canvas will change depending on the script encoding:
    // https://github.com/fingerprintjs/fingerprintjs/issues/66
    // Escape sequence shouldn't be used too because Terser will turn it into a bare unicode.
    const printedText = `Cwm fjordbank gly ${
      String.fromCharCode(55357, 56835) /* 😃 */
    }`;
    context.fillText(printedText, 2, 15);
    context.fillStyle = "rgba(102, 204, 0, 0.2)";
    context.font = "18pt Arial";
    context.fillText(printedText, 4, 45);
  }

  function renderGeometryImage(canvas, context) {
    // Canvas blending
    // https://web.archive.org/web/20170826194121/http://blogs.adobe.com/webplatform/2013/01/28/blending-features-in-canvas/
    // http://jsfiddle.net/NDYV8/16/
    context.globalCompositeOperation = "multiply";
    for (const [color, x, y] of [
      ["#f2f", 40, 40],
      ["#2ff", 80, 40],
      ["#ff2", 60, 80],
    ]) {
      context.fillStyle = color;
      context.beginPath();
      context.arc(x, y, 40, 0, Math.PI * 2, true);
      context.closePath();
      context.fill();
    }

    // Canvas winding
    // https://web.archive.org/web/20130913061632/http://blogs.adobe.com/webplatform/2013/01/30/winding-rules-in-canvas/
    // http://jsfiddle.net/NDYV8/19/
    context.fillStyle = "#f9c";
    context.arc(60, 60, 60, 0, Math.PI * 2, true);
    context.arc(60, 60, 20, 0, Math.PI * 2, true);
    context.fill("evenodd");
  }

  const canvas1 = document.getElementById("fingerprintjscanvas1");
  const context1 = canvas1.getContext("2d");
  renderTextImage(canvas1, context1);
  data.fingerprintjscanvas1data = sha1(canvas1.toDataURL());

  const canvas2 = document.getElementById("fingerprintjscanvas2");
  const context2 = canvas2.getContext("2d");
  renderGeometryImage(canvas2, context2);
  data.fingerprintjscanvas2data = sha1(canvas2.toDataURL());

  return data;
}

// ==============================================================
// Speech Synthesis Voices
function populateVoiceList() {
  // Replace long prefixes with short ones to reduce the size of the output.
  const uriPrefixes = [
    [/(?:urn:)?moz-tts:.*?:/, "#m:"],
    [/com\.apple\.speech\.synthesis\.voice\./, "#as:"],
    [/com\.apple\.voice\.compact./, "#ac:"],
    [/com\.apple\.eloquence\./, "#ap:"],
    // Populate with more prefixes as needed.
  ];

  function trimVoiceURI(uri) {
    for (const [re, replacement] of uriPrefixes) {
      uri = uri.replace(re, replacement);
    }
    return uri;
  }

  function sample(voices, count) {
    const range = voices.length - 1;
    if (range <= count) {
      return voices;
    }

    const sampledVoices = [];
    const step = Math.floor(range / count);
    for (let i = 0; i < range; i += step) {
      sampledVoices.push(voices[i]);
    }
    return sampledVoices;
  }

  async function sha256(message) {
    const msgUint8 = new TextEncoder().encode(message);
    const hashBuffer = await window.crypto.subtle.digest("SHA-256", msgUint8);
    const hashArray = Array.from(new Uint8Array(hashBuffer));
    const hashHex = hashArray
      .map(b => b.toString(16).padStart(2, "0"))
      .join("");
    return hashHex;
  }

  async function stringify(voices) {
    voices = voices
      .map(voice => ({
        voiceURI: trimVoiceURI(voice.voiceURI),
        default: voice.default,
        localService: voice.localService,
      }))
      .sort((a, b) => a.voiceURI.localeCompare(b.voiceURI));

    const [localServices, nonLocalServices] = voices.reduce(
      (acc, voice) => {
        if (voice.localService) {
          acc[0].push(voice.voiceURI);
        } else {
          acc[1].push(voice.voiceURI);
        }
        return acc;
      },
      [[], []]
    );
    const defaultVoice = voices.find(voice => voice.default);

    voices = voices.map(voice => voice.voiceURI);

    return JSON.stringify({
      count: voices.length,
      localServices: localServices.length,
      defaultVoice: defaultVoice ? defaultVoice.voiceURI : null,
      samples: sample(voices, 5),
      sha256: await sha256(voices.join("|")),
      allHash: ssdeep.digest(voices.join("|")),
      localHash: ssdeep.digest(localServices.join("|")),
      nonLocalHash: ssdeep.digest(nonLocalServices.join("|")),
    });
  }

  function fetchVoices() {
    const promise = new Promise(resolve => {
      speechSynthesis.addEventListener("voiceschanged", function () {
        resolve(speechSynthesis.getVoices());
      });

      if (speechSynthesis.getVoices().length !== 0) {
        resolve(speechSynthesis.getVoices());
      }
    });

    const timeout = new Promise(resolve => {
      setTimeout(() => {
        resolve([]);
      }, 5000);
    });

    return Promise.race([promise, timeout]);
  }

  return {
    voices: fetchVoices().then(stringify),
  };
}

function populateMediaCapabilities() {
  // Decoding: MP4 and WEBM are PDM dependant, while the other types are not, so for MP4 and WEBM we manually check for mimetypes.
  // We also don't make an extra check for media-source as both file and media-source end up calling the same code path except for
  // some prefs that block some mime types but we collect them.
  // Encoding: It isn't dependant on hardware, so we just skip it, but collect media.encoder.webm.enabled pref.
  const mimeTypes = {
    audio: [
      // WEBM
      "audio/webm; codecs=vorbis",
      "audio/webm; codecs=opus",
      // MP4
      "audio/mp4; codecs=mp4a.40.2",
      "audio/mp4; codecs=mp3",
      "audio/mp4; codecs=opus",
      "audio/mp4; codecs=flac",
    ],
    video: [
      // WEBM
      "video/webm; codecs=vp9",
      "video/webm; codecs=vp8",
      "video/webm; codecs=av1",
      // MP4
      "video/mp4; codecs=vp9",
      "video/mp4; codecs=vp8",
      "video/mp4; codecs=hev1.1.6.L123.B0",
      "video/mp4; codecs=avc1.64001F",
    ],
  };

  const audioConfig = {
    type: "file",
    audio: {
      channels: 2,
      bitrate: 64000,
      samplerate: 44000,
    },
  };

  const videoConfig = {
    type: "file",
    video: {
      width: 1280,
      height: 720,
      bitrate: 10000,
      framerate: 30,
    },
  };

  async function getCapabilities() {
    // Firefox reports all supported audio codecs as smooth and power efficient
    // so we just check supported codecs for audio
    const capabilities = {
      unsupported: [],
      videos: {},
    };

    for (const audioMime of mimeTypes.audio) {
      audioConfig.audio.contentType = audioMime;
      const capability = await navigator.mediaCapabilities.decodingInfo(
        audioConfig
      );
      if (!capability.supported) {
        capabilities.unsupported.push(audioMime);
      }
    }

    for (const videoMime of mimeTypes.video) {
      videoConfig.video.contentType = videoMime;
      const capability = await navigator.mediaCapabilities.decodingInfo(
        videoConfig
      );
      if (!capability.supported) {
        capabilities.unsupported.push(videoMime);
      } else {
        capabilities.videos[videoMime] = {
          smooth: capability.smooth,
          powerEfficient: capability.powerEfficient,
        };
      }
    }

    return JSON.stringify(capabilities);
  }

  return {
    mediaCapabilities: getCapabilities(),
  };
}

function populateAudioFingerprint() {
  // Trimmed down version of https://github.com/fingerprintjs/fingerprintjs/blob/c463ca034747df80d95cc96a0a9c686d8cd001a5/src/sources/audio.ts
  // At that time, fingerprintjs was licensed with MIT.
  const hashFromIndex = 4500;
  const hashToIndex = 5000;
  const context = new window.OfflineAudioContext(1, hashToIndex, 44100);

  const oscillator = context.createOscillator();
  oscillator.type = "triangle";
  oscillator.frequency.value = 10000;

  const compressor = context.createDynamicsCompressor();
  compressor.threshold.value = -50;
  compressor.knee.value = 40;
  compressor.ratio.value = 12;
  compressor.attack.value = 0;
  compressor.release.value = 0.25;

  oscillator.connect(compressor);
  compressor.connect(context.destination);
  oscillator.start(0);

  const [renderPromise, finishRendering] = startRenderingAudio(context);
  const fingerprintPromise = renderPromise.then(
    buffer => getHash(buffer.getChannelData(0).subarray(hashFromIndex)),
    error => {
      if (error === "TIMEOUT" || error.name === "SUSPENDED") {
        return "TIMEOUT";
      }
      throw error;
    }
  );

  /**
   * Starts rendering the audio context.
   * When the returned function is called, the render process starts finishing.
   */
  function startRenderingAudio(context) {
    const renderTryMaxCount = 3;
    const renderRetryDelay = 500;
    const runningMaxAwaitTime = 500;
    const runningSufficientTime = 5000;
    let finalize = () => undefined;

    const resultPromise = new Promise((resolve, reject) => {
      let isFinalized = false;
      let renderTryCount = 0;
      let startedRunningAt = 0;

      context.oncomplete = event => resolve(event.renderedBuffer);

      const startRunningTimeout = () => {
        setTimeout(
          () => reject("TIMEMOUT"),
          Math.min(
            runningMaxAwaitTime,
            startedRunningAt + runningSufficientTime - Date.now()
          )
        );
      };

      const tryRender = () => {
        try {
          context.startRendering();

          switch (context.state) {
            case "running":
              startedRunningAt = Date.now();
              if (isFinalized) {
                startRunningTimeout();
              }
              break;

            // Sometimes the audio context doesn't start after calling `startRendering` (in addition to the cases where
            // audio context doesn't start at all). A known case is starting an audio context when the browser tab is in
            // background on iPhone. Retries usually help in this case.
            case "suspended":
              // The audio context can reject starting until the tab is in foreground. Long fingerprint duration
              // in background isn't a problem, therefore the retry attempts don't count in background. It can lead to
              // a situation when a fingerprint takes very long time and finishes successfully. FYI, the audio context
              // can be suspended when `document.hidden === false` and start running after a retry.
              if (!document.hidden) {
                renderTryCount++;
              }
              if (isFinalized && renderTryCount >= renderTryMaxCount) {
                reject("SUSPENDED");
              } else {
                setTimeout(tryRender, renderRetryDelay);
              }
              break;
          }
        } catch (error) {
          reject(error);
        }
      };

      tryRender();

      finalize = () => {
        if (!isFinalized) {
          isFinalized = true;
          if (startedRunningAt > 0) {
            startRunningTimeout();
          }
        }
      };
    });

    return [resultPromise, finalize];
  }

  function getHash(signal) {
    let hash = 0;
    for (let i = 0; i < signal.length; ++i) {
      hash += Math.abs(signal[i]);
    }
    // return as string for Glean.
    // We probably don't want use sha-1/256 etc. as fingerprintjs
    // states a difference of 0.0000022 implies a different device
    // so we are actually interested in the number. We multiply by
    // 10e7 and submit as int.
    return hash * 10e7;
  }

  finishRendering();

  return {
    audioFingerprint: fingerprintPromise,
  };
}

// =======================================================================
// Setup & Populating

/* Pick any local font, we just don't want to needlessly increase binary size */
const LocalFiraSans = new FontFace(
  "LocalFiraSans",
  "url('chrome://pocket/content/panels/fonts/FiraSans-Regular.woff') format('woff')"
);

(async () => {
  const font = await LocalFiraSans.load();
  document.fonts.add(font);

  // Data contains key: (Promise<any> | any) pairs. The keys are identifiers
  // for the data and the values are either a promise that returns a value,
  // or a value. Promises are awaited and values are resolved immediately.
  const data = {
    ...populateTestCanvases(),
    ...populateWebGLCanvases(),
    ...populateFingerprintJSCanvases(),
    ...populateVoiceList(),
    ...populateMediaCapabilities(),
    ...populateAudioFingerprint(),
  };

  debug("Awaiting", Object.keys(data).length, "data promises.");
  await Promise.allSettled(Object.values(data));

  debug("Sizes of extractions:");
  const output = {};
  for (const key in data) {
    try {
      output[key] = await data[key];
      debug(key, output[key].length);
    } catch (e) {
      debug("Promise rejected for", key, "Error:", e);
    }
  }

  document.dispatchEvent(
    new CustomEvent("UserCharacteristicsDataDone", {
      bubbles: true,
      detail: {
        debug: debugMsgs,
        output,
      },
    })
  );
})();