Python Penetration Testing Cookbook - Softcover

Rehim, Rejah

Softcover

ISBN 10: 1784399779 ISBN 13: 9781784399771

Verlag: Packt Publishing, 2017

Inhaltsangabe

Páginas:226Géneros:12:UM:Computerprogramming/softwaredevelopment12:UT:Computernetworking&communications12:UR:ComputersecuritySinopsis:

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Reseña del editor

Over 50+ hands-on recipes to help you pen test networks using Python, discover vulnerabilities, and find a recovery path

Key Features

• Learn to detect and avoid various types of attack that put system privacy at risk
• Enhance your knowledge of wireless application concepts and information gathering through practical recipes
• Learn a pragmatic way to penetration-test using Python, build efficient code, and save time

Book Description

Penetration testing is the use of tools and code to attack a system in order to assess its vulnerabilities to external threats. Python allows pen testers to create their own tools. Since Python is a highly valued pen-testing language, there are many native libraries and Python bindings available specifically for pen-testing tasks.

Python Penetration Testing Cookbook begins by teaching you how to extract information from web pages. You will learn how to build an intrusion detection system using network sniffing techniques. Next, you will find out how to scan your networks to ensure performance and quality, and how to carry out wireless pen testing on your network to avoid cyber attacks. After that, we'll discuss the different kinds of network attack. Next, you'll get to grips with designing your own torrent detection program. We'll take you through common vulnerability scenarios and then cover buffer overflow exploitation so you can detect insecure coding. Finally, you'll master PE code injection methods to safeguard your network.

What you will learn

• Learn to configure Python in different environment setups.
• Find an IP address from a web page using BeautifulSoup and Scrapy
• Discover different types of packet sniffing script to sniff network packets
• Master layer-2 and TCP/ IP attacks
• Master techniques for exploit development for Windows and Linux
• Incorporate various network- and packet-sniffing techniques using Raw sockets and Scrapy

Table of Contents

1. Why Python in Penetration Testing
2. Setting Up a Python Environment
3. Web Scraping with Python
4. Data Parsing with Python
5. Web Scraping with Scrapy and BeautifulSoup
6. Network Scanning with Python
7. Network Sniffing with Python
8. Scapy Basics
9. Wi-Fi Sniffing
10. Layer 2 Attacks
11. TCP/IP Attacks
12. Introduction to Exploit Development
13. Windows Exploit Development
14. Linux Exploit Development

Biografía del autor

Rejah Rehim is currently the Director and Chief Information Officer (CIO) of Appfabs. Previously holding the title of Security Architect at FAYA India, he is a long-time preacher of open source. He is a steady contributor to the Mozilla Foundation and his name has been added to the San Francisco Firefox Monument. A member of the Mozilla add-ons review board, he has contributed to the development of several node modules. He is credited with the creation of nine Mozilla add-ons, including the very popular Clear Console add-on, which was selected as one of the best Mozilla add-ons of 2013. With a user base of more than 44,000, it has seen more than 800,000 downloads to date. He has successfully created the world's first security testing browser bundle, PenQ, an open source Linux-based penetration testing browser bundle preconfigured with tools for spidering, advanced web searching, fingerprinting, and so on. Rejah is also an active member of OWASP and the chapter leader of OWASP Kerala. He is also an active speaker at FAYA:80, a tech community based in Kerala, with the mission of free knowledge sharing. Besides being a part of the cyber security division of FAYA, Rejah is also a student of process automation and has implemented it in FAYA. Additionally, Rejah also holds the title of commander at Cyberdome, an initiative of the Kerala Police Department.

Details zur Ausgabe

• Verlag: Packt Publishing
• Erscheinungsdatum: 2017
• ISBN 10: 1784399779
• ISBN 13: 9781784399771
• Einband: Tapa blanda
• Sprache: Englisch
• Anzahl der Seiten: 226