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Silent Audio Trap

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 runs standard browser APIs as they were designed. Its built-in properties, permissions, and rendering contexts remain consistent without needing to hide automation.

Automated Bot

What an automated browser often reveals

The Silent Audio Trap check looks for a mismatch that a real browsing session does not normally create. Automation tools often patch or hide browser APIs, but those changes can break when the browser is checked from another angle.

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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