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
Credits
About the Author
About the Reviewer
www.PacktPub.com
Preface

Insecure direct object references


This vulnerability occurs when an application uses actual reference identifiers (IDs), names, or keys to create web pages or URLs, and the application does not verify the authenticity of the user to access the requested page. An attacker may change the parameters in the URLs to detect such vulnerabilities.

In an application, the data of a user will not be accessible for another user. Check the following script sample; It will iterate through the users and check the data is visible for the logged-in user:

import mechanize 
 
url = "http://www.webscantest.com/business/access.php?serviceid=" 
 
attackNumber = 1 
 
for i in range(5): 
 
    res = mechanize.urlopen(url+str(i)) 
 
    content = res.read() 
   
 
    #  check if the content is accessible 
 
    if content.find("You service") > 0: 
 
         print "Possible Direct Object Reference" 
 
          
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