Silent Audio Trap

Protect every paid visit

BotRefund combines browser, network, device, and behavior evidence to identify invalid traffic.

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Detection approach

Silent Audio Render Trap detected active audio fingerprint alteration. A 0Hz silent oscillator rendered non-zero noise, proving an active audio-randomizer extension is spoofing the browser profile. Alternatively, getChannelData and copyFromChannel buffers desynchronized, a typical fingerprint of incomplete AudioBuffer prototype wrapping.

How this helps detect bots

Collect this signal alongside session context, request metadata, and other independent indicators. A single anomaly is a lead, not a verdict; corroborating anomalies make automated traffic more likely.

Legitimate traffic to consider

Employees browsing on Citrix, VMware, or virtual audio routing configurations.

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