Book Image

Learning Python Web Penetration Testing

By : Christian Martorella
Book Image

Learning Python Web Penetration Testing

By: Christian Martorella

Overview of this book

Web penetration testing is the use of tools and code to attack a website or web app in order to assess its vulnerability to external threats. While there are an increasing number of sophisticated, ready-made tools to scan systems for vulnerabilities, the use of Python allows you to write system-specific scripts, or alter and extend existing testing tools to find, exploit, and record as many security weaknesses as possible. Learning Python Web Penetration Testing will walk you through the web application penetration testing methodology, showing you how to write your own tools with Python for each activity throughout the process. The book begins by emphasizing the importance of knowing how to write your own tools with Python for web application penetration testing. You will then learn to interact with a web application using Python, understand the anatomy of an HTTP request, URL, headers and message body, and later create a script to perform a request, and interpret the response and its headers. As you make your way through the book, you will write a web crawler using Python and the Scrappy library. The book will also help you to develop a tool to perform brute force attacks in different parts of the web application. You will then discover more on detecting and exploiting SQL injection vulnerabilities. By the end of this book, you will have successfully created an HTTP proxy based on the mitmproxy tool.
Table of Contents (9 chapters)

Taking screenshots of the findings

In this short section, we're going to learn how to automatically take a screenshot from our BruteForcer. We're going to see why taking pictures can be useful, and which libraries we need to add this capability to our script. Finally, we're going to run a new BruteForcer and take some pictures.

What do we want to achieve in this section? Basically, we want to take a screenshot of every resource that returns a 200 code. This will help us to speed up the analysis of big apps, or test multiple apps in a shorter period of time.

For this, I chose the selenium web driver for Python (http://docs.seleniumhq.org) and PhantomJS (http://phantomjs.org/). Selenium WebDriver is a tool used to automate web browsers pragmatically, mainly for software testing purposes. Selenium WebDriver will drive PhantomJS, which is a headless browser, and has...