浏览器指纹识别 is a technique used to identify and track users based on the unique characteristics of their web browser and device. Unlike cookies, fingerprinting works without storing anything on your device, making it harder to detect and block.
指纹识别如何工作
Canvas 指纹识别: Exploits differences in how browsers render graphics on HTML5 Canvas elements, producing unique visual output based on your GPU, drivers, and font rendering.
WebGL 指纹识别: Collects information about your graphics card, renderer, and supported WebGL extensions to create a unique identifier.
AudioContext 指纹识别: Uses the Web Audio API to analyze how your audio hardware and software process sound signals.
字体检测: Detects which fonts are installed on your system by measuring how text renders in different typefaces.
硬件探测: Gathers device hardware info like CPU cores, memory, screen resolution, and touch capabilities.
这个工具如何工作?
This tool runs entirely in your browser — no data is sent to any server. It collects attributes from your browser's APIs (Canvas, WebGL, AudioContext, fonts, hardware, plugins, screen, and more), hashes them together, and calculates a 唯一性评分 that estimates how identifiable your browser is among the general population.