Book Image

Web Penetration Testing with Kali Linux - Third Edition

By : Gilberto Najera-Gutierrez, Juned Ahmed Ansari
Book Image

Web Penetration Testing with Kali Linux - Third Edition

By: Gilberto Najera-Gutierrez, Juned Ahmed Ansari

Overview of this book

Web Penetration Testing with Kali Linux - Third Edition shows you how to set up a lab, helps you understand the nature and mechanics of attacking websites, and explains classical attacks in great depth. This edition is heavily updated for the latest Kali Linux changes and the most recent attacks. Kali Linux shines when it comes to client-side attacks and fuzzing in particular. From the start of the book, you'll be given a thorough grounding in the concepts of hacking and penetration testing, and you'll see the tools used in Kali Linux that relate to web application hacking. You'll gain a deep understanding of classicalSQL, command-injection flaws, and the many ways to exploit these flaws. Web penetration testing also needs a general overview of client-side attacks, which is rounded out by a long discussion of scripting and input validation flaws. There is also an important chapter on cryptographic implementation flaws, where we discuss the most recent problems with cryptographic layers in the networking stack. The importance of these attacks cannot be overstated, and defending against them is relevant to most internet users and, of course, penetration testers. At the end of the book, you'll use an automated technique called fuzzing to identify flaws in a web application. Finally, you'll gain an understanding of web application vulnerabilities and the ways they can be exploited using the tools in Kali Linux.
Table of Contents (19 chapters)
Title Page
Copyright and Credits
Dedication
Packt Upsell
Contributors
Preface
Index

NoSQL injection


In recent years, Big Data, or the storage, processing, and analysis of enormous amounts of information in various versions and with various purposes is being increasingly promoted and implemented in companies of different sizes. This kind of information is usually nonstructured or derived from sources that are not necessarily compatible. Thus, it needs to be stored in some special kind of database, the so-called Not only SQL (NoSQL) databases such as MongoDB, CouchDB, Cassandra, and HBase.

The fact that the aforementioned database managers don't use SQL (or don't use SQL exclusively) doesn't mean that they are free from injection risk. Remember that the SQL injection vulnerability is caused by a lack of validation in the application sending the query, not in the DBMS processing it. The injection of code or altered parameters to queries of NoSQL databases is possible and not uncommon.

Testing for NoSQL injection

NoSQL queries are usually done in JSON format. For example, a query...