(ePUB) Hack the Stack by Michael Gregg

Hack the Stack
Using Snort and Ethereal to Master the 8 Layers of an Insecure Network
by Michael Gregg, George Mays, Chris Ries, Stephen Watkins

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• ISBN: 9781597491099 (1597491098)
• Author: Michael Gregg, George Mays, Chris Ries, Stephen Watkins
• Publisher: Syngress Publishing
• Release date: December 27, 2006
• Language: english
• Format: paperback, 442 pages

About The Book

This book looks at network security in a new and refreshing way. It guides readers step-by-step through the stack — the seven layers of a network. Each chapter focuses on one layer of the stack along with the attacks, vulnerabilities, and exploits that can be found at that layer. The book even includes a chapter on the mythical eighth layer: The people layer.

This book is designed to offer readers a deeper understanding of many common vulnerabilities and the ways in which attacker’s exploit, manipulate, misuse, and abuse protocols and applications. The authors guide the readers through this process by using tools such as Ethereal (sniffer) and Snort (IDS). The sniffer is used to help readers understand how the protocols should work and what the various attacks are doing to break them. IDS is used to demonstrate the format of specific signatures and provide the reader with the skills needed to recognize and detect attacks when they occur.

What makes this book unique is that it presents the material in a layer by layer approach which offers the readers a way to learn about exploits in a manner similar to which they most likely originally learned networking. This methodology makes this book a useful tool to not only security professionals but also for networking professionals, application programmers, and others. All of the primary protocols such as IP, ICMP, TCP are discussed but each from a security perspective. The authors convey the mindset of the attacker by examining how seemingly small flaws are often the catalyst of potential threats. The book considers the general kinds of things that may be monitored that would have alerted users of an attack.

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