WEBVTT

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Hey there.

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Welcome to our Kali Linux virtual machine.

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As I mentioned before, in here, I'm using the Kali version 2020.2,

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but you can use pretty much any Kali Linux version you want.

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So to get us started, let's install the Harvester in this machine.

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In theory, Kali already comes with the Harvester preinstalled,

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but a person would like to download and install the latest version from GitHub,

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so then I'm sure that I have the latest version of the tool.

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So to get us started, let me open the terminal,

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and then let me quickly change to root and then go to my desktop folder.

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Awesome!

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In here, to download the Harvester to GitHub,

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all I have to do is use this command, which is git clone,

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and then the GitHub URL.

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Once I press Enter,

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it will download all of the files from GitHub and save on my computer.

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Now that it is completed, we can see a new folder on my desktop.

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And if you check inside of this folder, you know that our files are in there.

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Cool!

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So now that we have the files,

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we need to install other prerequisites for the two to work.

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So let's start by doing an apt‑get update to ensure

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that I have the latest repositories.

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Awesome!

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Now we need the Python pip command to install all the prerequisites.

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So I'll get the Python pip by using this command,

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apt‑get install python3‑pip, and this will do all the job for us.

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Awesome!

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Now we can use the pip3 that we just installed to install

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all the prerequisites for the Harvester.

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And the easiest way of doing that is by using this command, pip3

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install, and then ‑r, and this requirements.text file. This file

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contains all the libraries that need to be installed.

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So when we press Enter, pip will install each one of them. In my case,

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as you can see, I have them already installed.

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So we are good to go.

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But in your case,

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if it is your first time running this tool, it may take

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a few minutes to install everything.

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Now that we have all the requirements ready,

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we can run the tool to test if it works. So for that, I'll

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type python3, and then the file in this folder called

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theHarvester.py. Awesome! Take a look.

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The tool works fine.

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We are now ready to use the Harvester.