Bogus domains are the landing pages for many scams. By constantly monitoring for new domain registrations, subdomain changes, domain spoofing, and doppelganger sites, Domainwatch can identify potential scam sites. Using Artificial Intelligence (AI), crawlers, and search engines to find these sites. Many of these fail Domainwatch scrutiny because of three common mistakes: typo’s, spelling and grammar.
Spear-phishing attackers create fake sites of known organisations to attempt to scam passwords, credit card details and other personal information from their targets. These domains try to accurately replicate the site they are spoofing, and they work because most people find them difficult to differentiate from the original with the human eye.
Finding replicant or duplicated domains is not hard to do when they have the same digital footprints. Finding domains that have the same information and look similar, but are digitally different, is a more complex process. It requires the ability to look and see as the human eye would. These two example pages carry the same information but are digitally different – one is real, and one is fake.
Using our unique Deep Artificial Neural Networks
(DANN), Domainwatch compares the pages as a human would do.
The DANN alerts us where the page is too similar to the original.
More importantly, our AI is trained to find the differences as well as
the similarities and to compare pages like a human would do.
Domainwatch is different from competing services which can only
find doppelganger or replicated sites. Being able to ‘see as humans
do’, it can find these fake domains and alert the real domain owners
allowing them to act to protect their customers from potential scams
and protect their intellectual property, brand and reputation.