Book Image

Hands-On Penetration Testing with Python

By : Furqan Khan
Book Image

Hands-On Penetration Testing with Python

By: Furqan Khan

Overview of this book

With the current technological and infrastructural shift, penetration testing is no longer a process-oriented activity. Modern-day penetration testing demands lots of automation and innovation; the only language that dominates all its peers is Python. Given the huge number of tools written in Python, and its popularity in the penetration testing space, this language has always been the first choice for penetration testers. Hands-On Penetration Testing with Python walks you through advanced Python programming constructs. Once you are familiar with the core concepts, you’ll explore the advanced uses of Python in the domain of penetration testing and optimization. You’ll then move on to understanding how Python, data science, and the cybersecurity ecosystem communicate with one another. In the concluding chapters, you’ll study exploit development, reverse engineering, and cybersecurity use cases that can be automated with Python. By the end of this book, you’ll have acquired adequate skills to leverage Python as a helpful tool to pentest and secure infrastructure, while also creating your own custom exploits.
Table of Contents (18 chapters)

Summary

In this chapter, we discussed OOP, Files, directories, IO, XML, JSON, CSV, and exception handling with respect to Python. These are the core constructs of Python and are very widely used. We will be using all these structures and concepts frequently when we move on to the section on implementing penetration testing and cyber security with Python, so it's important that we have a good understanding of them all. In the next chapter, we will discuss more advanced concepts such as multithreading, multiprocessing, sub processes in Python, and socket programming. With that chapter, we will finish exploring the prerequisites of Python, which will in turn lead us onto learning about penetration testing and cyber security ecosystems with regard to Python.