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This video suggests you can catch this type of cheater without even a kernel level anti cheat:

https://youtube.com/watch?v=x-EbjGSRyKA

There’s a lot of other stuff in the video but if you skip the robot building parts at the beginning he talks about an anti cheat system he developed with another person.




Behavioral analysis (the thing he's talking about) doesn't work that well and has a hard precision limit due to the nature of online gaming. What the player sees, what the server sees, and what other players see are entirely different things. I'm not even talking about plausibly deniable things like visual sound location.

Nobody's using complicated stuff like this in practice though, as there are easier methods. But of course this path can be taken, and it's not possible to block easily.


it's not always easy to tell if it's just a player playing weirdly or a mistuned AI though. Maybe the player just have too low mouse sensitivity so it is always a little lagged, maybe it's actualy AI. There is no easy way to tell, and require manual judgement in a lot of cases.


Aimmy is still undetected everywhere except overwatch last I checked:

https://github.com/Babyhamsta/Aimmy

And it's likely that most detection systems can be trivially fooled by me ChatGPTing the code around the way mouse movements are implemented to act slightly different / use a different compiler or something to get different file hashes on the core tool.




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