Author here. I've been working on pydoll, an open-source (Python/async) web automation library. While building it, I kept hitting a wall against sophisticated anti-bot systems.
This sent me down a deep rabbit hole to understand how they actually work. It turns out detection isn't about one thing, but about consistency across multiple layers: from the OS-level (TCP/IP, TLS/JA3), to the browser (HTTP/2, Canvas/WebGL), and finally to human behavior (mouse physics, typing cadence).
I decided to write down everything I learned in this guide. It covers the theory of how each layer is fingerprinted and the practical techniques to evade it (focusing on consistency, not randomness).
Hope you find it useful. Happy to answer any questions.
Author here. I've been working on pydoll, an open-source (Python/async) web automation library. While building it, I kept hitting a wall against sophisticated anti-bot systems.
This sent me down a deep rabbit hole to understand how they actually work. It turns out detection isn't about one thing, but about consistency across multiple layers: from the OS-level (TCP/IP, TLS/JA3), to the browser (HTTP/2, Canvas/WebGL), and finally to human behavior (mouse physics, typing cadence).
I decided to write down everything I learned in this guide. It covers the theory of how each layer is fingerprinted and the practical techniques to evade it (focusing on consistency, not randomness).
Hope you find it useful. Happy to answer any questions.