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Web Penetration Testing with Kali Linux

You're reading from   Web Penetration Testing with Kali Linux Explore the methods and tools of ethical hacking with Kali Linux

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Product type Paperback
Published in Feb 2018
Publisher
ISBN-13 9781788623377
Length 426 pages
Edition 3rd Edition
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Authors (3):
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Juned Ahmed Ansari Juned Ahmed Ansari
Author Profile Icon Juned Ahmed Ansari
Juned Ahmed Ansari
Daniel W. Dieterle Daniel W. Dieterle
Author Profile Icon Daniel W. Dieterle
Daniel W. Dieterle
Gilberto Najera-Gutierrez Gilberto Najera-Gutierrez
Author Profile Icon Gilberto Najera-Gutierrez
Gilberto Najera-Gutierrez
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Toc

Table of Contents (13) Chapters Close

Preface 1. Introduction to Penetration Testing and Web Applications FREE CHAPTER 2. Setting Up Your Lab with Kali Linux 3. Reconnaissance and Profiling the Web Server 4. Authentication and Session Management Flaws 5. Detecting and Exploiting Injection-Based Flaws 6. Finding and Exploiting Cross-Site Scripting (XSS) Vulnerabilities 7. Cross-Site Request Forgery, Identification, and Exploitation 8. Attacking Flaws in Cryptographic Implementations 9. AJAX, HTML5, and Client-Side Attacks 10. Other Common Security Flaws in Web Applications 11. Using Automated Scanners on Web Applications 12. Other Books You May Enjoy

Summary


In this chapter, we discussed the use of automated vulnerability scanners in web application penetration testing, the risks posed by the use of automated tools when testing production environments, and considerations that needed to be taken into account before using them.

Next, we moved on to the use of some of the scanners included in Kali Linux, such as Nikto, Skipfish, Wapiti, and OWASP-ZAP. We also talked about specialized scanners for Content Management Systems such as WordPress, Joomla, and Drupal. We addressed the topic of fuzzing as a separate technique from scanning. We used the OWASP-ZAP fuzzer and Burp Intruder to test multiple inputs over a single input.

Finally, we discussed some of the tasks necessary to be done after automated scanning or fuzzing is complete. You need to validate the scanner's results in order to eliminate all false positives, and you need to test the application manually, as there are vulnerabilities that an automated scanner will not be able to find...

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