Two new massive data categories have been added: Public Leaks and Whois. They can be selected in the “Advanced” menu on intelx.io.
Our dataset is growing rapidly – we are adding up to 10,000 records per second:
The category “Public Leaks” contains public data leaks such as Collection #1, which was published in January 2019. Troy Hunt wrote a blog post about it here. This leak alone contains 773 million unique email addresses, according to Hunt.
The second new category is “Whois”. As its name suggests, it contains whois-information about domains (i.e., information about a domain owner). Statistics:
☑ 221 GB with 670.268.305 total selectors
☑ 273.622.894 unique domain names
☑ 108.165.567 unique email addresses
Here is an example that lists all microsoft.com email addresses that registered a domain: https://intelx.io/?s=microsoft.com&b=whois&pb=1
MailTester.com has been added to our email tab at https://intelx.io/tools?tab=email. It verifies if the target email server is accepting the email address.
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June 2021: New Usenet data category We added the new data category Usenet. It contains historical and current data from Usenet, which is “a worldwide distributed discussion system”. Today, Usenet is mostly used for piracy. This new category stores currently 209,469,453 selectors and is expected to grow substantially. Improved inline statistics We have improved the
Intelligence X supports Peernet – Founder’s Statement I am excited to announce Peernet, a decentralized network that allows sharing of data freely without censorship and restrictions. Here is the pitch deck: https://peernet.org/dl/Peernet%20Deck.pdf Peernet is making quick progress from its inception as I am finalizing the whitepaper and developing the core library. I would like to
February 2021: Launch of the European Internet Archive The European Internet Archive just launched! 🎉🥳 ➡ https://archive.eu/ 225 TLDs added to the list of web crawling We have added 225 top-level domains (TLDs) to the list of web crawling. Find the full list and how we are categorizing them in this blog post. Our dataset