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Python: Penetration Testing for Developers

You're reading from   Python: Penetration Testing for Developers Execute effective tests to identify software vulnerabilities

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Product type Course
Published in Oct 2016
Publisher Packt
ISBN-13 9781787128187
Length 650 pages
Edition 1st Edition
Languages
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Authors (6):
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Christopher Duffy Christopher Duffy
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Christopher Duffy
Mohit Raj Mohit Raj
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Mohit Raj
Dave Mound Dave Mound
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Dave Mound
Terry Ip Terry Ip
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Terry Ip
Cameron Buchanan Cameron Buchanan
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Cameron Buchanan
Andrew Mabbitt Andrew Mabbitt
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Andrew Mabbitt
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Toc

Table of Contents (32) Chapters Close

Python: Penetration Testing for Developers
Python: Penetration Testing for Developers
Credits
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 11. Python with Penetration Testing and Networking 12. Scanning Pentesting 13. Sniffing and Penetration Testing 14. Wireless Pentesting 15. Foot Printing of a Web Server and a Web Application 16. Client-side and DDoS Attacks 17. Pentesting of SQLI and XSS 18. Gathering Open Source Intelligence 19. Enumeration 20. Vulnerability Identification 21. SQL Injection 22. Web Header Manipulation 23. Image Analysis and Manipulation 24. Encryption and Encoding 25. Payloads and Shells 26. Reporting Bibliography
Index

Screenshots based on a port list


In the previous script, we created our base function to return an image for a URL. We will now expand on that to loop over a list of ports that are commonly associated with web-based administration portals. This will allow us to point the script at an IP and automatically run through the possible ports that could be associated with a web server. This is to be used in cases when we don't know which ports are open on a server, rather than when where we are specifying the port and domain.

Getting ready

In order for this script to work, we'll need to have the script created in the Getting screenshots of a website with QtWeb Kit recipe. This should be saved in the Pythonxx/Lib folder and named something clear and memorable. Here, we've named that script screenshot.py. The naming of your script is particularly essential as we reference it with an important declaration.

How to do it…

This is the script that we will be using:

import screenshot
import requests

portList...
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