The main rule of Fb (that everyone always breaks) is that every person can have only one Fb account. Sometimes accounts are blocked not due to breaking the social network’s policy or guidelines however due to creating fake accounts. Moreover, in such cases Fb offers no reasons – it just blocks your account and that’s it.

According to Zuckerberg, the network’s antidetect is programmed to impose the maximum punishment for fake accounts. Sometimes Fb doesn’t block fake accounts which it has already found, to find different accounts (which break the foundations) utilizing the recognition system and massive-knowledge analysis. Honest enough though – except for knowledge breaches, 99% of the network’s issues arise out of pretend accounts. Zuck detects and blocks them on time, thus protecting his platform in general.

And now we have to admit, he’s doing fairly well.

Fb relies more on the evaluation of behavioral elements somewhat than on fingerprinting and consumer identification. The restrict of the profile quality depends on the varied mixtures of three groups of things: Facts – Connections – Actions. So, first things first.

Facts are the info (related to a Fb profile) together with the following information:

Gadgets system configs (cell and desktop). All the computer systems and mobile phones that were used to log in, visible related units (or visible inside one wi-fi connection), units inside one IP vary;
All cookies, IP-addresses, DNS used and different elements of the network;
Added payments devices;
The content material of advert accounts (companies, domains, apps, creative materials, etc.);
The content material of a profile (checklist of friends, a text of messages, groups, fanpages etc.). All the info from the safety panel you can download (My Fb Info tab).

Connections are the hyperlinks Fb might establish that related to a profile as nicely:

All cases of a match of information with different accounts;
All similar (or almost similar) actions with different accounts.

Actions are the consistent activity of units, related with a profile, during which information and connections are emerging.

Fb collects all three knowledge-bases. They’re related to one another and regulate one another. Ultimately, the system assigns a quality indicator (primarily based on the evaluation of the info) to each network’s user. Fb calls it USER_TRUST while Google calls it Quality Score.

And there increase two fascinating questions:

How you can arrange actions in your account in such a means that they would act otherwise than different fake accounts?
How you can obtain a sufficient degree of anonymity when the system couldn’t find any connection or proven fact that matches with different accounts?

Nevertheless, with regard to behavior, there are lots of completely different guides (primarily based on expertise and practice of different moneymakers) on easy methods to create an account before registration, after registration, and before the primary advert campaigns. However, sadly, we can’t say the same thing about the second question. Talking of anonymity and confrontation the Antidetect techniques – it’s not that easy.

As we mentioned before, 99% of Fb issues are made by fake accounts. Spam, credit card fraud, black-hat marketing, social engineering, angry russian hackers – all of that is the work of pretend accounts. And a man could be an idiot so as to add a stolen credit card utilizing his actual name.

Obviously, such a big platform as Fb makes use of probably the most superior identification technologies. The network starts watching you before you create an account there. Up-to-date farming methods bear in mind cookie evaluation and visiting websites with Fb Pixel. Otherwise, a profitable launching shouldn’t be assured.

Fashionable identification techniques are primarily based on the fingerprintjs expertise developed by Valentin Vasilyev 5 years ago:

Fb Antidetect consists of the gathering of information on users (utilizing fingerprinting) and receiving data from different companies (which additionally use fingerprinting). All the info are collected on the principle of “Facts – Connections – Actions” and then Fb AI takes the lead. It processes the information and ranks it on the “USER_TRUST” concept.

Probably the most environment friendly solution to identify a consumer is the js-requests to Canvas, WebGL and WebRTC interfaces. The information obtained are reworked into hashes which make up the mixed print of a user. We are going to think about the best way of deceiving the interfaces more closely in our next article! Stay tuned 😉