← How We Detect Bots (All 110+ Signals) Hardware & GPU Fingerprinting

WebGL Extension Lie

One of 106 independent checks BotRefund uses to build a reliable picture of whether a visit is human or automated.

Normal User

What a real browser usually shows

A normal browser reports hardware, graphics, fonts, and operating-system details that naturally fit together for that device.

Automated Bot

What an automated browser often reveals

The WebGL Extension Lie check looks for a mismatch that a real browsing session does not normally create. Virtual machines and spoofed profiles can claim one device while their graphics, fonts, audio, or processor behavior tells another story.

WHY THIS MATTERS

A single anomaly is not a bot verdict.

Privacy tools, travel, corporate networks, and unusual devices can produce unexpected behavior for genuine people. BotRefund keeps this signal as evidence—not a verdict—and cross-checks it against independent browser, network, device, and behavior data.

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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