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Effective Python Penetration Testing

Effective Python Penetration Testing

By : Rejah Rehim
4 (1)
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Effective Python Penetration Testing

Effective Python Penetration Testing

4 (1)
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 (11 chapters)
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Broken authentication

When authentication functions that help to authenticate users to the application are not implemented correctly, that may allow hackers to compromise passwords or session IDs, or to exploit other implementation flaws using other users' credentials. These types of flaws are known as broken authentication.

We can use mechanize scripts to check the authentication mechanism in an application.

With this, we have to check the account management functions like account creation, change password, and recover password. We could also write customized brute-force and dictionary attack scripts to check the login mechanism of the application.

We can generate all possible passwords with a range of characters in them as follows:

# import required modules
from itertools import combinations  
 
from string import ascii_lowercase 
 
# Possible password list 
 
passwords = (p for p in combinations(ascii_lowercase,8)) 
 
for p in passwords: 
 
    print ''.join(p) 

Later...

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