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)

Building a Custom Crawler

When we talk of web application scanning, we often come across crawlers that are built into the automatic scanning tools we use for web application scanning. Tools such as Burp Suite, Acunetix, web inspect, and so on all have wonderful crawlers that crawl through web applications and try various attack vectors against the crawled URLs. In this chapter, we are going to understand how a crawler works and what happens under the hood. The objective of this chapter is to enable the user to understand how a crawler collects all the information and forms the attack surface for various attacks. The same knowledge can be later used to develop a custom tool that may automate web application scanning. In this chapter, we are going to create a custom web crawler that will crawl through a website and give us a list that contains the following:

  • Web pages
  • HTML forms...