Eva Pharmacy generates thousands of domain names. Typically the registrants have names, addresses, phone numbers from all over the world.
The addresses and phone numbers look genuine, up to a point. In actual fact, they are invariably fakes.
* The street name, suburb and city may ll exist, but often the street number is higher than the number of locations in that street. It is randomly generated.
* The suburb is usually in the same city as the street, however the street is often actually in an adjacent suburb.
* The phone number starts with the correct prefix code for the country and suburb (land-line) or phone provider (cell). But the rest of the phone number is randomly generated, and usually does not exist
Question: How are these thousands of registrant details created?
There you will find that this cute little random person ID generator follows exactly along the lines described above.
A pointer to this site is at http://pctechmag.com/2014/02/this-guy-creates-billions-of-fake-identities-every-month/
That's how it slips past the most rudimentary checks applied by registrars, if they look at them at all.
Let's work an example. A fake ID generated for a French name in France gave
29, rue des lieutemants Thomazo
This is a real email address. Click here to activate it!
Now look up an EvaPharmacy domain, jacquelynnvikki.com
Registrant Name: Eleanor Dandonneau
Registrant Organization: Eleanor Dandonneau
Registrant Street: 21 rue des lieutemants Thomazo
Registrant City: Draguignan
Registrant State/Province: Draguignan
Registrant Postal Code: 83300
Registrant Country: FR
Registrant Phone: +33.0407242406
Registrant Email: firstname.lastname@example.org
It is clear that the structure of what is generated at fakenamegenerator.com matches the format of the data used in the domain registration. Note that for France the same entry is used for both Registrant City and Registrant State/Province. That's because the generator does not generate both fields.
The same occurs with Finland, Hungary, Poland.
But other countries supply both fields, for example Australia, Brazil, Canada, Germany, Spain, Italy, Netherlands, New Zealand, US