Web applications are the front door to most organizations, exposing them to attacks that may disclose personal information, execute fraudulent transactions, or compromise ordinary users.

This practical, tutorial-style book uses the Kali Linux distribution to teach Linux basics with a focus on how hackers would use them. Topics include Linux command line basics, filesystems, networking, BASH basics, package management, logging, and the Linux kernel and drivers.

Проект Hacker Highschool является средством обучения и, как в любом обучающем средстве, существует опасность. Некоторые уроки, если ими злоупотреблять, могут привести к физической травме.

Python hacker. Those are two words you really could use to describe me. At Immunity, I am lucky enough to work with people who actually, really, know how to code Python.<br>I am not one of those people. I spend a great deal of my time penetration testing, and that requires rapid Python tool development, with a focus on execution and delivering results (not necessarily on prettiness, optimization, or even stability). Throughout this book you will learn that this is how I code, but I also feel as though it is part of what makes me a strong pentester. I hope that this philosophy and style helps you as well. As you progress through the book, you will also realize that I don’t take deep dives on any single topic.

This book opens the door to the wonderful world of security mechanisms, showing you how protection is created, and then bypassed. It is addressed to anyone who likes captivating puzzles, and to anyone who spends their spare (or office) time rummaging in the depths of programs and operating systems.

Hacking the Hacker takes you inside the world of cybersecurity to show you what goes on behind the scenes, and introduces you to the men and women on the front lines of this technological arms race.

This is the second iteration of Hacker Playbook (THP). For those who have read the first book, this<br>continuation of this book. The following is an overview of all the new vulnerabilities and attacks that discuss.

Machine learning exists at the intersection of traditional mathematics and statistics with software engineering and computer science. In this book, we will describe several tools from traditional statistics that allow you to make sense of the world. Statistics has almost always been concerned with learning something interpretable from data, whereas machine learning has been concerned with turning data into something practical and usable.