• 大小: 15.57MB
    文件类型: .pdf
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    发布日期: 2023-07-22
  • 语言: Python
  • 标签: 实践  web  渗透测试  

资源简介

Learn how to execute web application penetration testing from end to end Key Features Build an end to end threat model landscape for Web Application Security Gain hands-on experience of using tools like Nmap, Metasploit, and Burp Suite Understand the web application vulnerabilities and learn the heart of web intrusion testing Elevate your skills to associate the network vulnerabilities to a web application infrastructure Book Description Companies all over the world want to hire professionals dedicated in Application Security. This topic is misunderstood by the security community. In this book, you will learn how to conduct application security testing using real life scenarios. Practical Web Penetration Testing starts by setting up your environment to perform web application penetration testing. You will then deep dive into different penetration testing concepts like threat modeling, intrusion test, infrastructure security threat and so on. The book will also cover advance concepts. like python scripting for automation. You will then discover end to end implementation of tools like Metasploit, Burp suite, and Kali Linux. Many companies out there deliver projects into production either using the agile methodology or the Waterfall methodology. This book will show you how to assist any company with their SDLC approach and guide you to become an application security specialist. By the end of this book, you will have hands-on knowledge of using different tools for penetration testing. What you will learn Learn how to use Burp Suite effectively Use Nmap, Metasploit and more tools for network infrastructure tests Practice all the Web Application Hacking Tools for intrusion tests using Kali Linux Learn how to analyse a web application using Application Threat Modeling Know how to conduct Web Intrusion Tests Understand how to execute Network Infrastructure Tests Master your skills by automating the Penetration Testing functions for maximum of efficiency using Python W

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