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WebGL 着色器噪声

BotRefund 使用的 106 项独立检测之一,用于可靠判断访问者是人类还是自动程序。

Normal User

真实浏览器通常显示的内容

正常浏览器会上报硬件、图形、字体和操作系统详情,这些信息在该设备上自然吻合。

Automated Bot

自动化浏览器常暴露的信息

WebGL 着色器噪声检查旨在检测真实浏览会话中通常不会出现的异常。虚拟机和伪造的配置文件可能会声称使用某一设备,但其图形、字体、音频或处理器行为却暴露了另一套信息。

WHY THIS MATTERS

单一异常不代表机器人判定。

隐私工具、旅行、企业网络和非典型设备可能导致真实用户出现意外行为。BotRefund 将此信号作为证据而非判定,并将其与独立的浏览器、网络、设备和行为数据交叉验证。

01

Independent Evidence

This signal adds one objective, immutable data point to the session audit ledger.

02

Cross-Checked Context

BotRefund tests whether other hardware, network, and cursor behaviors support the same story.

03

Edge AI Prediction

Our edge model weighs the complete multi-layer pattern instead of relying on a fragile static rule.

WHY BOTREFUND IS 99% ACCURATE

Accuracy comes from corroboration, not a single browser tell.

BotRefund feeds this signal into our prediction AI, evaluating the holistic picture across browser integrity, network origin, hardware fingerprints, and user telemetry. By corroborating all factors together, it identifies invalid clicks with 99% precision.

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