We just released a major update – virtual folders. For some results, there is a new “Tree View” tab. It shows items that are related either because they are part of one container file, or because the original file was too big and was automatically split into multiple files.
To put it simple, the Tree View allows the user to view other items that are part of the original data.
Here’s an example that shows the tree view: https://intelx.io/?did=70e1f9b2-d527-4ccb-a6bf-65ea1cddd558
This feature is available for the data categories “Public Leaks” and “Dumpster”, which you can use as filters in the Advanced menu next to the search button.
Every day we index an increasing amount of data. Currently, we are indexing the Collection #1 data as part of the “Public Leaks” category. Next, we will index Collection 2-5 and other data leaks floating around.
This means that every day we add millions and millions of additional records to our search index. One problem that came up was fragmentation of data and losing context when splitting files apart.
When the end-user searches for something and finds an individual result, context can be crucial. Where did the result come from? What else was part of the original source? Are there additional items of interest from the original data?
To answer these questions, we created virtual folders that link different items together and show it to the end-user as the new “Tree View” tab.
You will see the Tree View when the result meets the following conditions:
We launched a new product: “Identity Portal”! It allows users to find all lines in a text where a search term appears, and to download a list of leaked accounts under a specific domain or email address. This product is exclusively available on request to companies and governments. If you are interested, please contact us!
June 2020: New Phonebook service! 🎉 We just launched a free new service: https://phonebook.cz It lists all email addresses, subdomains, and URLs for the input domain. Try it out – it’s free! It uses the same dataset as intelx.io – which is 20 billion records. There is an existing phonebook feature at intelx.io since its
May 2020: New dorks website, Tor, DDoS test and a Europol takedown Our dataset continues to grow significantly: 17,660,962,195 selectors In the past few months, we have invested in 200+ TB of enterprise storage which allows us to scale up data collection even more. As for the public web, we are currently crawling these TLDs: