Python Penetration Testing Cookbook: Practical recipes on implementing information gathering, network security, intrusion detection, and post-exploitation

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About Python Penetration Testing Cookbook: Practical

Over 50 hands-on recipes to help you pen test networks using Python, discover vulnerabilities, and find a recovery pathKey FeaturesLearn to detect and avoid various types of attack that put system privacy at riskEnhance your knowledge of wireless application concepts and information gathering through practical recipesLearn a pragmatic way to penetration-test using Python, build efficient code, and save timeBook DescriptionPenetration 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 learnLearn to configure Python in different environment setups.Find an IP address from a web page using BeautifulSoup and ScrapyDiscover different types of packet sniffing script to sniff network packetsMaster layer-2 and TCP/ IP attacksMaster techniques for exploit development for Windows and LinuxIncorporate various network- and packet-sniffing techniques using Raw s