Three Solutions to Implement The Browser Fingerprints

本文介绍了如何使用FingerprintJS、ClientJS和Canvas技术实现浏览器指纹,提供了相应的代码片段和测试文件,展示了在实际项目中获取和利用这些指纹的方法。

The solutions for implementing browser fingerprints are diverse. This article introduces three common approaches along with corresponding code examples. A test file is provided for those interested to experience directly.

  1. FingerprintJS Library:

    FingerprintJS is a popular JavaScript library that creates browser fingerprints using various techniques. It utilizes features like user agent, plugin lists, and font information to generate a unique fingerprint.

    <!-- Include FingerprintJS library -->
    <script src="https://cdn.jsdelivr.net/npm/@fingerprintjs/fingerprintjs@3"></script>
    
    // Use FingerprintJS to get the browser fingerprint
    const getBrowserFingerprint = async () => {
        const fpPromise = FingerprintJS.load();
        const fpInstance = await fpPromise;
    
        const result = await fpInstance.get();
    
        console.log(result.visitorId); // Browser fingerprint
    };
    
    getBrowserFingerprint();
    
  2. ClientJS Library:

    ClientJS is another widely used JavaScript library that generates fingerprints by detecting various browser properties. It provides an easy-to-use interface suitable for various browser fingerprinting scenarios.

    <!-- Include ClientJS library -->
    <script src="https://cdn.jsdelivr.net/npm/clientjs"></script>
    
    // Use ClientJS to get the browser fingerprint
    const getClientJSFingerprint = () => {
        const client = new ClientJS();
        const fingerprint = client.getFingerprint();
    
        console.log(fingerprint); // Browser fingerprint
    };
    
    getClientJSFingerprint();
    
  3. Canvas Fingerprinting:

    Canvas fingerprinting exploits subtle differences when rendering text or images on HTML5 canvas. Here’s a simple Canvas Fingerprinting example:

    <canvas id="canvas" width="200" height="20"></canvas>
    
    // Canvas Fingerprinting example
    const getCanvasFingerprint = () => {
        const canvas = document.getElementById('canvas');
        const context = canvas.getContext('2d');
        const text = 'Canvas Fingerprint';
    
        context.font = '10px Arial';
        context.fillText(text, 10, 10);
    
        const imageData = canvas.toDataURL('image/png');
    
        console.log(imageData); // Canvas Fingerprint
    };
    
    getCanvasFingerprint();
    

These examples demonstrate the use of different JavaScript libraries or techniques to implement browser fingerprints. Below is the complete test file:

<!-- Complete test file -->
<!DOCTYPE html>
<html lang="en">

<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>Browser Fingerprint Test</title>
    <script type="module">
        import FingerprintJS from 'https://cdn.jsdelivr.net/npm/@fingerprintjs/fingerprintjs@4.2.2/+esm'
        console.log(FingerprintJS)
        window.FingerprintJS = FingerprintJS;
    </script>

    <!-- Include ClientJS library -->
    <script src="https://cdn.jsdelivr.net/npm/clientjs"></script>
    <canvas id="canvas" width="200" height="20"></canvas>
</head>

<body>
    <script>
        window.onload = () => {
            // Use FingerprintJS to get the browser fingerprint
            const getBrowserFingerprint0 = async () => {
                const fpPromise = FingerprintJS.load();
                const fpInstance = await fpPromise;
                const result = await fpInstance.get();
                console.log(result.visitorId); // Browser fingerprint
            };

            getBrowserFingerprint0();

            // Use ClientJS to get the browser fingerprint
            const getClientJSFingerprint = () => {
                const client = new ClientJS();
                const fingerprint = client.getFingerprint();

                console.log(fingerprint); // Browser fingerprint
            };
            getClientJSFingerprint();

            // Canvas Fingerprinting example
            const getCanvasFingerprint2 = () => {
                const canvas = document.getElementById('canvas');
                const context = canvas.getContext('2d');
                const text = 'Canvas Fingerprint';
                context.font = '10px Arial';
                context.fillText(text, 10, 10);
                const imageData = canvas.toDataURL('image/png');
                console.log(imageData); // Canvas Fingerprint
            };

            getCanvasFingerprint2();
        }
    </script>
</body>

</html>
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