Quote:
Originally Posted by Yamato
So, short story: one of the OnlyFans models (RIP Leo) had problems with "free sites" removing her pirated content and asked me if I knew how to deal with it. So after sending a few traditional emails and getting a "fuck you" response, I decided to throw them a little "fuck you" present.
So what this tool does (written in Python) is simulate clicks only on their sponsor banners. We all know who those are... So here's the sugar: it rotates obvious TOR proxies and clicks the living fuck out of those sponsor banners. It takes about 24 to 48 hours for them to realize they are being dicked around by bots, and they shut down the pirate's account. Once the banners are down, I send them another email with a reminder to remove the stolen content, and boom - it's gone.
reqs: vps, python, python libraries, IQ above 60 to kick of job nohup, to sit and to watch. Only clicks on designated banners.
PS: Please spare you ethical/not-ethical comments. Not interested.
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I don't think this would work. Modern click fraud detection is sophisticated and they don't just look at clicks anymore. They look at behavior signals like how long a person has been on a page, mouse movement patterns, browser fingerprints, viewport rendering, JS execution, conversion rates, etc etc..
Headless requests are detectable too and are usually discarded.
TOR exit nodes are already heavily blacklisted and many ad networks and CDN's already filter out TOR exit nodes. Of course there are always new ones, but they eventually get blacklisted too as click fraud attempts are detected.
The pirates themselves may not even be penalized. Depending on their network the fake traffic would just get filtered out and the ad network just eats the loss.
If the clicks are sent too agressively, fraud detection would be alot faster too.
Besides everything else, it could get you into trouble. You could be liable under computer fraud statues like CFAA in the US & Canada, it would definately violate ToS's, etc..
Don't get me wrong - I'm on your side here... but click-fraud isn't the way to do it... Maybe a more agressive DMCA strategy? Look for the fraud/abuse departments of the the ad networks in question and hammer them with complaints.