1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420 421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440 441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460 461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480 481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500 501 502 503 504 505 506 507 508 509 510 511 512 513 514 515 516 517 518 519 520 521 522 523 524 525 526 527 528 529 530 531 532 533 534 535 536 537 538 539 540 541 542 543 544 545 546 547 548 549 550 551 552 553 554 555 556 557 558 559 560 561 562 563 564 565 566 567 568 569 570 571 572 573 574 575 576 577 578 579 580 581 582 583 584 585 586 587 588 589 590 591 592 593 594 595 596 597 598 599 600 601 602 603 604 605 606 607 608 609 610 611 612 613 614 615 616 617 618 619 620 621 622 623 624 625 626 627 628 629 630 631 632 633 634 635 636 637 638 639 640 641 642 643 644 645 646 647 648 649 650 651 652 653 654 655 656 657 658 659 660 661 662 663 664 665 666 667 668 669 670 671 672 673 674 675 676 677 678 679 680 681 682 683 684 685 686 687 688 689 690 691 692 693 694 695 696 697 698 699 700 701 702 703 704 705 706 707 708 709 710 711 712 713 714 715 716 717 718 719 720 721 722 723 724 725 726 727 728 729 730 731 732 733 734 735 736 737 738 739 740 741 742 743 744 745 746 747 748 749 750 751 752 753 754 755 756 757 758 759 760 761 762 763 764 765 766 767 768 769 770 771 772 773 774 775 776 777 778 779 780 781 782 783 784 785 786 787 788 789 790 791 792 793 794 795 796 797 798 799 800 801 802 803 804 805 806 807 808 809 810 811 812 813 814 815 816 817 818 819 820 821 822 823 824 825 826 827 828 829 830 831 832 833 834 835 836 837 838 839 840 841 842 843 844 845 846 847 848 849 850 851 852 853 854 855 856 857 858 859 860 861 862 863 864 865 866 867 868 869 870 871 872 873 874 875 876 877 878 879 880 881 882 883 884 885 886 887 888 889 890 891 892 893 894 895 896 897 898 899 900 901 902 903 904 905 906 907 908 909 910 911 912 913 914 915 916 917 918 919 920 921 922 923 924 925 926 927 928 929 930 931
|
/* 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 =
"data:content/type;base64,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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,
},
})
);
})();
|