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Posted on January 21, 2019

The Web’s Most Dangerous Neighborhood to Steer Clear!

Domain names are an important way to establish a unique identity, to assign names to numerically addressed Internet resources, and to make network moves possible (globally or locally via an intranet). A lot has changed since 1985, when the first domain Symbolics.com was registered, up until now that we have over 350 million domains in existence! Back then, what most consumers and businesses encountered were a small number of standard Top Level Domains (TLDs), such as .com, .net, .edu and .gov, as well as some country code domains like .fr (France), and .jp (Japan). In 2014, ICANN, the organization primarily behind the governance of the Internet, opened up the world to massive amounts of new gTLDs in response to requests from advertisers and domain speculators. With the explosion of new neighbourhoods on the web and the increasing adoption of the internet and smartphones, businesses and individuals rushed to secure their online identity. While these domains help us to share information, communicate, conduct business, entertain etc, they’re also susceptible to abuse by scammers and hackers seeking to profit from the same.

Posted on December 14, 2018

API Access: Top Stats You Should Collect about Domain Names

Did you know that something as little as a weather forecast calculation can accumulate data sets reaching the size of petabytes?

For those who haven’t heard the term ‘petabyte’ before, it’s a unit equivalent to a million gigabytes of storage space. The good news is that we have systems in place today that can process big data and internet statistics and convert them into details an average human being could understand.

Posted on November 13, 2018

WHOIS Databases Superpowers: 9 Practical Applications

Who’s who in malicious activities? The WHOIS query and response protocol can just be the right source for businesses to find out. The information has been around since the 80s, helping Internet operators identify entities or individuals responsible for operating an online network resource — including those with malicious motives.

Posted on September 5, 2018

The Ultimate Guide to the WHOIS Database

The Internet is a vast cyber landscape. And it’s growing by leaps and bounds every single day. While this is often a good thing, it can also make it very difficult for those of us who are interested in learning more about specific domains. Often, simply using the website’s “Contact Us” form doesn’t elicit a response from the owner, so we’re left in the dark.

Posted on July 16, 2018

Domain names in the public domain

There aren’t enough registered domains to go round for every person on the planet, but we’re certainly getting close. At the latest estimation, the number of WHOIS records for domains ever recorded has passed 5 billion. That’s one domain for every single person living in China, India, US, Indonesia, Brazil, Pakistan, Nigeria, Bangladesh, Russia, Mexico, Japan, Ethiopia, Philippines, Egypt, and Vietnam combined.

Posted on May 5, 2018

Downloading bulk WHOIS data: why and how?

In spite of all of its known deficiencies, WHOIS data still play a crucial role in e.g. IT security, marketing research, scientific investigations related to the Internet or the World Wide Web and the domaining business. They provide essential information on the ownership and registration details of a domain, including relevant dates such as that of registration and expiry.

Posted on April 13, 2018

Cumulative reports on domain names

The amount of data that can be possibly generated, collected or processed with computers is well beyond our imagination. In high-performance computing applications, such as, e.g. in weather forecast calculations, the size of data sets is of order of petabytes. But what are we interested in, after all, when looking at a weather forecast? A few lines of information describing what the weather will be like in the next few days. Or, maybe, a weather map which is a file still not bigger than an average family photo. This illustrates that in many cases we need a huge amount of data, but the data size of the real information we need to get out of it is really small. Of course it does not mean that we do not in fact get very much information from this small-sized result dataset.

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