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)

Chapter 3, Concept Handling

  1. Using it as an object-oriented language makes it very reusable. Any security tool written in Python follows object-oriented pattern. Nmap library, Scapy, Selenium, and so on are all written as object-oriented utilities.
  2. XML can be parsed with LXML or the Etree module whereas CSV can be parsed with CSV, pandas module.
  3. Yes, we can try that. I leave that as a small task.
  4. A method decorator is a signature that binds a method with some unique capability.