Book Image

Effective Python Penetration Testing

By : Rejah Rehim
Book Image

Effective Python Penetration Testing

By: Rejah Rehim

Overview of this book

Penetration testing is a practice of testing a computer system, network, or web application to find weaknesses in security that an attacker can exploit. Effective Python Penetration Testing will help you utilize your Python scripting skills to safeguard your networks from cyberattacks. We will begin by providing you with an overview of Python scripting and penetration testing. You will learn to analyze network traffic by writing Scapy scripts and will see how to fingerprint web applications with Python libraries such as ProxMon and Spynner. Moving on, you will find out how to write basic attack scripts, and will develop debugging and reverse engineering skills with Python libraries. Toward the end of the book, you will discover how to utilize cryptography toolkits in Python and how to automate Python tools and libraries.
Table of Contents (16 chapters)
Effective Python Penetration Testing
About the Author
About the Reviewer

Cross-site scripting (XSS)

Cross-site scripting is also a type of injection attack, which occurs when attackers inject malicious attack vectors in the form of a browser-side script. This occurs when a web application uses input from a user to craft the output without validating or encoding it.

We could modify the script used to inject SQL attack vectors to test XSS injection. To verify the output response, we could search for the expected script in the response:

import mechanize 
url = "" 
browser = mechanize.Browser() 
attackNumber = 1 
with open('XSS-vectors.txt') as f: 
    for line in f: 
         browser["fname"] = line 
         res = browser.submit() 
         content = 
         # check the attack vector is printed in the response...