Detection approach
The client's preferred languages (Accept-Language) differed between the beacon request and the out-of-band netprobe request, showing profile header forgery.
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
Multilingual users actively changing system language preferences mid-session.
Need a complete bot protection layer?
BotRefund helps website owners identify suspicious visits, protect conversion data, and build evidence for invalid-click reviews.
Explore BotRefund — best bot protection for your website