What a real browser usually shows
A real visitor’s connection, location, language, and timing normally agree with one another. A browser on a home or mobile network may vary, but its signals still form a coherent picture.
← How we detect bots
Network, VPN, & Geolocation Evading Vectors
OS / TCP TTL Mismatch
One of 106 independent checks BotRefund uses to build a reliable picture of whether a visit is human or automated.
What an automated browser often reveals
The OS / TCP TTL Mismatch check looks for a mismatch that a real browsing session does not normally create. Proxy rotation, location masking, or browser spoofing can make separate network facts disagree.
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.
Independent evidence
This signal adds one objective fact about the visit.
Cross-checked context
BotRefund tests whether other signals support the same story.
AI prediction
Our model weighs the complete pattern instead of trusting a raw rule.
Why BotRefund is 99% accurate
Accuracy comes from corroboration, not one browser tell.
BotRefund sends this signal into our prediction AI, which evaluates the complete picture across browser, network, device, and behavior evidence. By seeing how all signals fit together, it identifies a visit as bot or human with 99% accuracy.
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