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Learning Python Web Penetration Testing

You're reading from Learning Python Web Penetration Testing Automate web penetration testing activities using Python

Product type Paperback

Published in Jun 2018

Publisher Packt

ISBN-13 9781789533972

Length 138 pages

Edition 1st Edition

Languages

Python

Tools

Metasploit

Concepts

Penetration Testing

Author (1):

Christian Martorella

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Table of Contents (9) Chapters

Preface

1. Introduction to Web Application Penetration Testing FREE CHAPTER

2. Interacting with Web Applications

3. Web Crawling with Scrapy – Mapping the Application

4. Resources Discovery

5. Password Testing

6. Detecting and Exploiting SQL Injection Vulnerabilities

7. Intercepting HTTP Requests

8. Other Books You May Enjoy

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Detecting SQL injection issues

In this section, we're going to learn how to detect SQL injections and how to alternate this in Python. We're going to look at what the different methods for detecting an SQLi in a web application are. Then, we'll proceed to automate the detection of these issues based on one of the methods. Finally, we'll enumerate the columns used in the query and also identify valid column names in the table.

Methods for detecting SQLi

In order to detect SQLi, we have three methods available:

Error based: This method injects payloads that break out of the original query and generate an SQL error on the server, which can be detected in the content of the returned pages:

Boolean: This...

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Authors (1)

Christian Martorella

Christian Martorella

Christian Martorella has been working in the field of information security for the last 18 years and is currently leading the product security team for Skyscanner. Earlier, he was the principal program manager in the Skype product security team at Microsoft. His current focus is security engineering and automation. He has contributed to open source security testing tools such as Wfuzz, theHarvester, and Metagoofil, all included in Kali, the penetration testing Linux distribution.

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