Social Engineering Toolkit

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Summary

Social Engineering Toolkit (SET) is a menu driven system that allows you to control your attacks tailored to the desired target.

Requirements

As part of this guide, I used Kali (Kali GNU/Linux Rolling 5.10.0-kali3-amd64) as the OS, so it was already preinstalled. I installed Kali on a Virtual machine (VMware® Workstation 15 Pro 15.5.5 build-16285975).

  • Social Engineering Toolkit Version: 8.0.3

Example

Let's see an example of how to execute a "Twitter Sign in Phishing Web-Attack" using the Social Engineering Toolkit. For this Phishing Attack we need to go through following submenus as shown below.


topmenu

1st select "Social-Engineering Attacks"

After launching the Social Engineering Toolkit we see the above mentioned menu. Here we can choose between submenus to specify our attack. In our case for "Twitter Sign in Phishing Web-Attack" we have to select "Social-Engineering Attacks".





submenu 2


2nd select "Website Attack Vectors"

For "Twitter Sign in Phishing Web-Attack" we've to choose option 2






submenu 3

3rd select "Credential Harvester Attack Method"

To specify our Attack as a 'Credential Harvester Attack' we've to choose the option 3.





submenu 4

4th select "Web Templates"

To allow Social Engineering Toolkit to import a list of pre-defined web applications that it can utilize within the attack we've to select option 1


Twitter Phishing

5th Enter the IP address for the POST back in Harvester/Tabnabbing and select finally Twitter

For practicing purposes I used the localhost (127.0.0.1), of course in a real attack you would use a corresponding ip address. And then you've to select the Twitter Template (option 3). After the Template is selected, the choosen website is being cloned. With the next action a website will appear which is similar to the Twitter Sign in website, the victim is prompt to Sign in.



result

Result: Credentials entered from victim are visible for Attacker

Victims user credentials are visible. At the same time the victims browser is redirected to the original Twitter Sign in website.




Courses

  • WFP-1

References