Home | Amazing | Today | Tags | Publishers | Years | Account | Search 
Web Penetration Testing with Kali Linux - Third Edition: Explore the methods and tools of ethical hacking with Kali Linux

Buy

Build your defense against web attacks with Kali Linux, including command injection flaws, crypto implementation layers, and web application security holes

Key Features

  • Know how to set up your lab with Kali Linux
  • Discover the core concepts of web penetration testing
  • Get the tools and techniques you need with Kali Linux

Book Description

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.

What you will learn

  • Learn how to set up your lab with Kali Linux
  • Understand the core concepts of web penetration testing
  • Get to know the tools and techniques you need to use with Kali Linux
  • Identify the difference between hacking a web application and network hacking
  • Expose vulnerabilities present in web servers and their applications using server-side attacks
  • Understand the different techniques used to identify the flavor of web applications
  • See standard attacks such as exploiting cross-site request forgery and cross-site scripting flaws
  • Get an overview of the art of client-side attacks
  • Explore automated attacks such as fuzzing web applications

Who This Book Is For

Since this book sets out to cover a large number of tools and security fields, it can work as an introduction to practical security skills for beginners in security. In addition, web programmers and also system administrators would benefit from this rigorous introduction to web penetration testing. Basic system administration skills are necessary, and the ability to read code is a must.

Table of Contents

  1. Introduction to Penetration Testing and Web Applications
  2. Setting Up Your Lab with Kali Linux
  3. Reconnaissance and Profiling the Web Server
  4. Authentication and Session Management Flaws
  5. Attacking the Server Using Injection-based Flaws
  6. Finding and Exploiting Cross-Site Scripting (XSS) Vulnerabilities
  7. Exploiting Cross Site Request Forgery
  8. Attacking Cryptographic implementation flaws
  9. AJAX, HTML5 and client side attacks
  10. Fuzzing Web Applications
  11. Using Automated Scanners on Web Applications
(HTML tags aren't allowed.)

Computational Probability: Algorithms and Applications in the Mathematical Sciences (International Series in Operations Research & Management Science)
Computational Probability: Algorithms and Applications in the Mathematical Sciences (International Series in Operations Research & Management Science)

This title organizes computational probability methods into a systematic treatment. The book examines two categories of problems. "Algorithms for Continuous Random Variables" covers data structures and algorithms, transformations of random variables, and products of independent random variables. "Algorithms for...

Practical Statecharts in C/C++: Quantum Programming for Embedded Systems with CDROM
Practical Statecharts in C/C++: Quantum Programming for Embedded Systems with CDROM
'Downright revolutionary... the title is a major understatement... 'Quantum Programming' may ultimately change the way embedded software is designed.' -- Michael Barr, Editor-in-Chief, Embedded Systems Programming magazine (Click here

Practical Statecharts in C/C++ illustrates how to
...
Mathematical Summary for Digital Signal Processing Applications with Matlab
Mathematical Summary for Digital Signal Processing Applications with Matlab

Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial...


Rapid Java Persistence and Microservices: Persistence Made Easy Using Java EE8, JPA and Spring
Rapid Java Persistence and Microservices: Persistence Made Easy Using Java EE8, JPA and Spring
Gain all the essentials you need to create scalable microservices, which will help you solve real challenges when deploying services into production. This book will take you through creating a scalable data layer with polygot persistence. You’ll cover data access and query patterns in Spring and JPA in high-performance...
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks
Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to the topic, and concludes with highly commented code for threaded computation on modern CPUs as well as massive parallel processing on computers...
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning
Big Data Analysis with Python: Combine Spark and Python to unlock the powers of parallel computing and machine learning

Get to grips with processing large volumes of data and presenting it as engaging, interactive insights using Spark and Python.

Key Features

  • Get a hands-on, fast-paced introduction to the Python data science stack
  • Explore ways to create useful metrics and statistics from...
©2019 LearnIT (support@pdfchm.net) - Privacy Policy