Book Image

Learning Linux Binary Analysis

By : Ryan "elfmaster" O'Neill
Book Image

Learning Linux Binary Analysis

By: Ryan "elfmaster" O'Neill

Overview of this book

Learning Linux Binary Analysis is packed with knowledge and code that will teach you the inner workings of the ELF format, and the methods used by hackers and security analysts for virus analysis, binary patching, software protection and more. This book will start by taking you through UNIX/Linux object utilities, and will move on to teaching you all about the ELF specimen. You will learn about process tracing, and will explore the different types of Linux and UNIX viruses, and how you can make use of ELF Virus Technology to deal with them. The latter half of the book discusses the usage of Kprobe instrumentation for kernel hacking, code patching, and debugging. You will discover how to detect and disinfect kernel-mode rootkits, and move on to analyze static code. Finally, you will be walked through complex userspace memory infection analysis. This book will lead you into territory that is uncharted even by some experts; right into the world of the computer hacker.
Table of Contents (17 chapters)
Learning Linux Binary Analysis
Credits
About the Author
Acknowledgments
About the Reviewers
www.PacktPub.com
Preface
Index

Linux kernel forensics and rootkits


It is important to learn the layout of the Linux kernel image if you want to be a true master of kernel forensics in Linux. Attackers can modify the kernel memory to create very sophisticated kernel rootkits. There are quite a number of techniques out there for infecting a kernel at runtime. To list a few, we have the following:

  • A sys_call_table infection

  • Interrupt handler patching

  • Function trampolines

  • Debug register rootkits

  • Exception table infection

  • Kprobe instrumentation

The techniques listed here are the primary methods that are most commonly used by a kernel rootkit, which usually infects the kernel in the form of an LKM (short for Loadable Kernel Module). Getting an understanding of each technique and knowing where each infection resides within the Linux kernel and where to look in the memory are paramount to being able to detect this insidious class of Linux malware. Firstly, however, let's take a step back and see what we have to work with. Currently...