Author Topic: FakeImageExploiter | Embedded Backdoor with Image  (Read 131 times)

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Offline Flavio58

FakeImageExploiter | Embedded Backdoor with Image
« Reply #1 on: March 13, 2018, 07:33:35 PM »
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FakeImageExploiter
This module takes one existing image.jpg and one payload.ps1 (input by user) and builds a new payload (agent.jpg.exe) that if executed it will trigger the download of the 2 previous files stored into apache2 (image.jpg + payload.ps1) and execute them. This module also changes the agent.exe Icon to match one file.jpg Then uses the spoof ‘Hide extensions for known file types’ method to hidde the agent.exe extension.
All payloads (user input) will be downloaded from our apache2 webserver and executed into target RAM. The only extension (payload input by user) that requires to write payload to disk are .exe binaries.

Exploitation
FakeImageExploiter stores all files in apache2 webroot, zips (.zip) the agent, starts apache2 and metasploit services(handler), and provides a URL to send to target (triggers agent.zip download). As soon as the victim runs our executable, our picture will be downloaded and opened in the default picture viewer, our malicious payload will be executed, and we will get a meterpreter session. But it also stores the agent (not ziped) into FakeImageExploiter/output folder if we wish to deliver agent.jpg.exe using another diferent attack vector. ‘This tool also builds a cleaner.rc file to delete payloads left in target’

Installation
git clone https://github.com/r00t-3xp10it/FakeImageExploiter.git
cd FakeImageExploiter
     sudo chmod +x *.sh
Config FakeImageExploiter settings
     nano settings
Run main tool
     sudo ./FakeImageExploiter.sh





Source https://github.com/r00t-3xp10it/FakeImageExploiter

https://www.youtube.com/watch?v=4dEYIO-xBHU

https://github.com/r00t-3xp10it/FakeImageExploiter#payloads-accepted-user-input


Consulente in Informatica dal 1984

Software automazione, progettazione elettronica, computer vision, intelligenza artificiale, IoT, sicurezza informatica, tecnologie di sicurezza militare, SIGINT. 

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#deeplearning #computervision #embeddedboard #iot #ai

 

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