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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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Table of Contents (32) Chapters Close

Python: Penetration Testing for Developers
Python: Penetration Testing for Developers
Credits
Preface
1. Understanding the Penetration Testing Methodology 2. The Basics of Python Scripting FREE CHAPTER 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

Understanding the SQL injection attack by a Python script


All SQL injection attacks can be carried out manually. However, you can use Python programming to automate the attack. If you are a good pentester and know how to perform attacks manually, then you can make your own program check this.

In order to obtain the username and password of a website, we must have the URL of the admin or login console page. The client does not provide the link to the admin console page on the website.

Here, Google fails to provide the login page for a particular website. Our first step is to find the admin console page. I remembered that, years ago, I used the URL http://192.168.0.4/login.php, http://192.168.0.4/login.html. Now, web developers have become smart, and they use different names to hide the login page.

Consider that I have more than 300 links to try. If I try it manually, it would take around 1 to 2 days to obtain the web page.

Let's take a look at a small program, login1.py, to find the login page...

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