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K. A - Learning Malware Analysis: Explore the Concepts, Tools, and Techniques to Analyze and Investigate Windows Malware

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Learning Malware Analysis: Explore the Concepts, Tools, and Techniques to Analyze and Investigate Windows Malware: summary, description and annotation

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Malware analysis and memory forensics are powerful analysis and investigation techniques used in reverse engineering, digital forensics, and incident response. This book teaches you the concepts, tools, and techniques to determine the behavior and characteristics of malware using malware analysis and memory forensics.;Cover -- Title Page -- Copyright and Credits -- Dedication -- Packt Upsell -- Contributors -- Table of Contents -- Preface -- Chapter 1: Introduction to Malware Analysis -- 1. What Is Malware? -- 2. What Is Malware Analysis? -- 3. Why Malware Analysis? -- 4. Types Of Malware Analysis -- 5. Setting Up The Lab Environment -- 5.1 Lab Requirements -- 5.2 Overview Of Lab Architecture -- 5.3 Setting Up And Configuring Linux VM -- 5.4 Setting Up And Configuring Windows VM -- 6. Malware Sources -- Summary -- Chapter 2: Static Analysis -- 1. Determining the File Type -- 1.1 Identifying File Type Using Manual Method -- 1.2 Identifying File Type Using Tools -- 1.3 Determining File Type Using Python -- 2. Fingerprinting the Malware -- 2.1 Generating Cryptographic Hash Using Tools -- 2.2 Determining Cryptographic Hash in Python -- 3. Multiple Anti-Virus Scanning -- 3.1 Scanning the Suspect Binary with VirusTotal -- 3.2 Querying Hash Values Using VirusTotal Public API -- 4. Extracting Strings -- 4.1 String Extraction Using Tools -- 4.2 Decoding Obfuscated Strings Using FLOSS -- 5. Determining File Obfuscation -- 5.1 Packers and Cryptors -- 5.2 Detecting File Obfuscation Using Exeinfo PE -- 6. Inspecting PE Header Information -- 6.1 Inspecting File Dependencies and Imports -- 6.2 Inspecting Exports -- 6.3 Examining PE Section Table And Sections -- 6.4 Examining the Compilation Timestamp -- 6.5 Examining PE Resources -- 7. Comparing And Classifying The Malware -- 7.1 Classifying Malware Using Fuzzy Hashing -- 7.2 Classifying Malware Using Import Hash -- 7.3 Classifying Malware Using Section Hash -- 7.4 Classifying Malware Using YARA -- 7.4.1 Installing YARA -- 7.4.2 YARA Rule Basics -- 7.4.3 Running YARA -- 7.4.4 Applications of YARA -- Summary -- Chapter 3: Dynamic Analysis -- 1. Lab Environment Overview -- 2. System And Network Monitoring.

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Learning Malware Analysis Explore the concepts tools and techniques to - photo 1
Learning Malware Analysis
Explore the concepts, tools, and techniques to analyze and investigate Windows malware
Monnappa K A

BIRMINGHAM - MUMBAI Learning Malware Analysis Copyright 2018 Packt Publishing - photo 2

BIRMINGHAM - MUMBAI
Learning Malware Analysis

Copyright 2018 Packt Publishing

All rights reserved. No part of this book may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, without the prior written permission of the publisher, except in the case of brief quotations embedded in critical articles or reviews.

Every effort has been made in the preparation of this book to ensure the accuracy of the information presented. However, the information contained in this book is sold without warranty, either express or implied. Neither the author, nor Packt Publishing or its dealers and distributors, will be held liable for any damages caused or alleged to have been caused directly or indirectly by this book.

Packt Publishing has endeavored to provide trademark information about all of the companies and products mentioned in this book by the appropriate use of capitals. However, Packt Publishing cannot guarantee the accuracy of this information.

Commissioning Editor: Gebin George
Acquisition Editor: Shrilekha Inani
Content Development Editor: Sharon Raj
Technical Editor: Prashant Chaudhari
Copy Editor: Safis Editing
Project Coordinator: Virginia Dias
Proofreader: Safis Editing
Indexer: Aishwarya Gangawane
Graphics: Tom Scaria
Production Coordinator: Nilesh Mohite

First published: June 2018

Production reference: 2200718

Published by Packt Publishing Ltd.
Livery Place
35 Livery Street
Birmingham
B3 2PB, UK.

ISBN 978-1-78839-250-1

www.packtpub.com


To my beloved wife, for standing by me throughout the journey. Without her, it would have been impossible to complete this project. To my parents, and in-laws for their continued support and encouragement. To my dog, for staying awake with me during the sleepless nights.
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Contributors
About the author

Monnappa K A works for Cisco Systems as an information security investigator focusing on threat intelligence and the investigation of advanced cyber attacks. He is a member of the Black Hat review board, the creator of Limon Linux sandbox, the winner of the Volatility plugin contest 2016, and the co-founder of the Cysinfo cybersecurity research community. He has presented and conducted training sessions at various security conferences including Black Hat, FIRST, OPCDE, and DSCI. He regularly conducts training at the Black Hat Security Conference in USA, Asia, and Europe.

I would like to extend my gratitude to Daniel Cuthbert and Dr. Michael Spreitzenbarth for taking time out of their busy schedule to review the book. Thanks to Sharon Raj, Prashant Chaudhari, Shrilekha Inani, and the rest of the Packt team for their support. Thanks to Michael Scheck, Chris Fry, Scott Heider, and my coworkers at Cisco CSIRT for their encouragement. Thanks to Michael Hale Ligh, Andrew Case, Jamie Levy, Aaron Walters, Matt Suiche, Ilfak Guilfanov, and Lenny Zeltser who have inspired and motivated me with their work. Thanks to Sajan Shetty, Vijay Sharma, Gavin Reid, Levi Gundert, Joanna Kretowicz, Marta Strzelec, Venkatesh Murthy, Amit Malik, and Ashwin Patil for their unending support. Thanks to the authors of other books, websites, blogs, and tools, which have contributed to my knowledge, and therefore this book.
About the reviewers

Daniel Cuthbert is the Global Head of Security Research in Banco Santander. In his 20+ years' career on both the offensive and defensive side, he's seen the evolution of hacking from small groups of curious minds to the organized criminal networks and nation states we see today . He sits on the Black Hat Review Board and is the co-author of the OWASP Testing Guide (2003) and OWASP Application Security Verification Standard (ASVS).

Dr. Michael Spreitzenbarth has been freelancing in the IT security sector for several years after finishing his diploma thesis with his major topic being mobile phone forensics. In 2013, he finished his PhD in the field of Android forensics and mobile malware analysis. Then, he started working at an internationally operating CERT and in an internal RED team. He deals daily with the security of mobile systems, forensic analysis of smartphones, and suspicious mobile applications, as well as the investigation of security-related incidents and simulating cybersecurity attacks.

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Preface

The advancement of the computer and internet technology has changed our lives, and it has revolutionized the way the organizations conduct businesses. However, technology evolution and digitization has given rise to cybercriminal activities. The growing threat of cyberattacks on critical infrastructure, data centers, private/public, defence, energy, government, and financial sectors pose a unique challenge for everyone from an individual to large corporations. These cyberattacks make use of malicious software (also known as Malware ) for financial theft, espionage, sabotage, intellectual property theft, and political motives.

With adversaries becoming sophisticated and carrying out advanced malware attacks, detecting and responding to such intrusions is critical for cybersecurity professionals. Malware analysis has become a must-have skill for fighting advanced malware and targeted attacks. Malware analysis requires a well-balanced knowledge of many different skills and subjects. In other words, learning malware analysis demands time and requires patience.

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