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AI Assisted Reverse Engineering of Web Applications
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English (US) | Duration: 5 h | Size: 3.44 GB

There are two broad categories of applications that we use every day. The first is
native applications
, which must be downloaded and installed on a computer. The second is
web applications
, which run in a browser and usually do not require installation. In this course, you will learn how to reverse engineer web applications and recreate their observable behaviour locally on your own computer. To make the learning process practical and engaging, we will first use
Codex and Claude Code
to build our own web applications and browser-based games. We will then approach those deployed applications as if we no longer have access to their original source code. Using AI coding agents, browser-development tools, and automation techniques, we will investigate how each application works and attempt to recreate it in a separate local project.
The course follows a practical and repeatable workflow:
Build the application using Vibe Coding, deploy it, remove access to the original source code, reverse engineer its behaviour, and recreate it locally.
You will begin with simple applications built using HTML, CSS, and vanilla JavaScript. As the course progresses, the applications will become increasingly complex and may include browser storage, minified JavaScript, frontend frameworks, APIs, databases, authentication, real-time communication, and browser-based games.
By mastering this process, you will develop a practical workflow for understanding and recreating many different types of web applications.
Besides that, we will also be using AI to do penetration testing of Web Applications.

What You Will Learn
By the end of the course, you will be able to:

Use Codex and Claude Code to build, test, debug, and deploy web applications

Investigate deployed applications without access to their original source code

Use Chrome DevTools and AI browser integrations to inspect HTML, CSS, JavaScript, network traffic, and browser storage

Discover and recreate APIs, authentication flows, WebSocket communication, and application behaviour

Reverse engineer browser-based games, including their scores, timers, state, and validation logic

Use CDP, Codex and Claude Chrome extensions to automate browser inspection and user workflows

Recreate applications locally and compare them with the originals using automated tests

Verify AI-generated apps, debug and fix errors

Do penetration testing on web applications

What Makes This Course Different
Many web-development courses teach you how to build applications.
Many reverse-engineering courses teach you how to inspect existing software.
This course combines both processes.
You will:

Build the original application

Deploy it

Investigate it without access to the source repository - assuming it is running on the web.

Reverse engineer its functions

Recreate it locally

Test the reconstruction

Reveal and compare the original implementation

Perform pentest (ethical hacking) on web applications
You will also see how modern AI coding agents can assist with both development and reverse engineering and cloning of web applications.

Join the Course
If you enjoy web development, reverse engineering, browser automation, AI coding agents, and AI assisted pentest or technical challenges, this course gives you the opportunity to combine all of them.
Join me as we use Codex and Claude Code to build, deploy, investigate, reverse engineer, pen-test and clone progressively more complex web applications and browser-based games.

More Info

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Код:
https://rapidgator.net/file/3b72c3a2ffc6f4de2cd8de1f205cbb58/yxusj.Udemy.-.AI.Assisted.Reverse.Engineering.of.Web.Applications.part1.rar
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https://rapidgator.net/file/b3b758406a9ce68db01ed3c04a629186/yxusj.Udemy.-.AI.Assisted.Reverse.Engineering.of.Web.Applications.part3.rar
https://rapidgator.net/file/95d6a4f48c801ef172e7015f76720ce2/yxusj.Udemy.-.AI.Assisted.Reverse.Engineering.of.Web.Applications.part4.rar

DDownload

Код:
https://ddownload.com/rfbyb661psv7/yxusj.Udemy.-.AI.Assisted.Reverse.Engineering.of.Web.Applications.part1.rar
https://ddownload.com/axctf0qp6jdv/yxusj.Udemy.-.AI.Assisted.Reverse.Engineering.of.Web.Applications.part2.rar
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NitroFlare

Код:
https://nitroflare.com/view/21200D0B561EECA/yxusj.Udemy.-.AI.Assisted.Reverse.Engineering.of.Web.Applications.part1.rar
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https://nitroflare.com/view/418FE66AE750C2B/yxusj.Udemy.-.AI.Assisted.Reverse.Engineering.of.Web.Applications.part3.rar
https://nitroflare.com/view/A358C13640A4237/yxusj.Udemy.-.AI.Assisted.Reverse.Engineering.of.Web.Applications.part4.rar