Find target Internet activity across Social Networks using Sherlock

July 13th, 2019 by

When gathering our target internet activity on the internet, Sherlock is a great tool we can easily use to collect opensource intelligence (data that are produced from publicly available information). The downside of open-source intelligence, whilst can be used by security professionals, so does threat actors. With a single clue, such as username/email, we can obtain information like transactions, family members and other account created by our target.

In this tutorial we need Kali Linux, Python 3 and pip to install the dependencies and run Sherlock.

Step 1: Clone the Sherlock Project

Open up your terminal and clone the project by pasting the following clone command.


Step 2: Install dependencies.

Install Sherlock dependencies using Pip3.


Step 3: Gathering opensource intelligence

To start OSCINT, type the following command. You will see the list of URLs the user is associated to.

Step 4: Viewing results

If you list all the files, you will notice a “user123.txt” exist. Open if by using the nano command.

For more options, you can open sherlock help using this command.


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  1. GG

    July 14, 2019 at 1:35 pm

    I mean the step #2.

    • cedcraftscodes

      July 14, 2019 at 7:21 pm

      Are you using Python3 and Pip3 for Python?


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