Cyber Review: Malware Analysis and Detection Engineering
Learn to analyze, reverse engineer, and detect modern malware using real tools and techniques. A hands-on guide for building malware labs, writing rules, and understanding threats.
Malware Analysis and Detection Engineering: A Comprehensive Approach to Detect and Analyze Modern Malware, written by Abhijit Mohanta, is a must-read for anyone interested in the field of cybersecurity. The book provides an in-depth analysis of malware analysis and detection techniques and presents a comprehensive approach to detecting and analyzing modern malware. The author explains how malware has evolved over the years, and the techniques used by attackers to create and distribute malware. He also explores the different types of malware, such as viruses, worms, trojans, and ransomware, and explains how they work.
The book covers various aspects of malware analysis, including static and dynamic analysis techniques, code analysis, behavior analysis, and memory forensics. The author also provides practical guidance on how to set up a malware analysis lab, how to use different tools and techniques to analyze malware, and how to create custom malware analysis tools. The book is an excellent resource for security analysts, incident responders, and anyone interested in understanding how malware works and how to detect and analyze it.
In conclusion, Malware Analysis and Detection Engineering: A Comprehensive Approach to Detect and Analyze Modern Malware is an essential resource for anyone interested in cybersecurity. The book provides a comprehensive overview of malware analysis and detection techniques, practical guidance on setting up a malware analysis lab, and detailed explanations of the different types of malware. Whether you’re a beginner or an experienced security analyst, this book is sure to deepen your knowledge and understanding of the complex world of modern malware.
What You Will Learn
Malware Dissection: Techniques to analyze, reverse engineer, and classify malware.
Handling Obfuscated Malware: Methods to unpack complex malware and understand their components.
Analysis Tools: Utilization of static and dynamic analysis tools for comprehensive malware examination.
Detection Engineering: Insights into leveraging detection tools to enhance malware identification and response.
Rule Writing: Guidance on writing Snort rules and implementing them with Suricata IDS.
Who This Book Is For
This book is ideal for:
Security Professionals: Individuals seeking to deepen their understanding of malware analysis
Malware Analysts: Professionals aiming to enhance their skills in dissecting and detecting malware.
SOC Analysts and Incident Responders: Those involved in monitoring and responding to security incidents.
Detection Engineers and Reverse Engineers: Experts focusing on developing and refining detection mechanisms.
Whether you're aiming to bolster your organization's security posture or advance your personal expertise in malware analysis, Malware Analysis and Detection Engineering provides the knowledge and tools necessary to navigate the complexities of modern malware threats.
Table of Contents
Introduction: An overview of malware analysis and reverse engineering.
Malware Analysis Lab Setup: Guidelines for creating a secure environment for malware examination.
Files and File Formats: Understanding various file types encountered during analysis.
Virtual Memory and the Portable Executable (PE) File: Insights into memory management and executable structures.
Windows Internals: Exploration of Windows OS components relevant to malware behavior.
Malware Components and Distribution: Examination of how malware is structured and propagated.
Malware Packers: Techniques used to obfuscate malware and evade detection.
Persistence Mechanisms: Methods malware uses to maintain presence on a system.
Network Communication: Analysis of how malware communicates over networks.
Code Injection, Process Hollowing, and API Hooking: Advanced techniques for altering system processes.
Stealth and Rootkits: Strategies malware employs to remain undetected.
Static Analysis: Approaches to examining malware without execution.
Dynamic Analysis: Methods for analyzing malware behavior during execution.
Memory Forensics with Volatility: Utilizing Volatility for in-depth memory analysis.
Malware Payload Dissection and Classification: Techniques for identifying and categorizing malware payloads.
Debuggers and Assembly Language: Foundational knowledge for reverse engineering.
Debugging Tricks for Unpacking Malware: Advanced methods for revealing hidden malware components.
Debugging Code Injection: Strategies for analyzing injected code within processes.
Armoring and Evasion: The Anti-Techniques: Understanding and countering malware's defensive mechanisms.
Fileless, Macros, and Other Malware Trends: Exploration of modern malware delivery methods.
Dev Analysis Lab Setup: Setting up a development environment for detection engineering.
Antivirus Engines: Insights into how antivirus software detects and handles malware.
IDS/IPS and Snort/Suricata Rule Writing: Creating effective detection rules for intrusion systems.
Malware Sandbox Internals: Understanding the inner workings of sandbox environments.
Binary Instrumentation for Reversing Automation: Techniques for automating reverse engineering processes.