May 1, 2024
Updated November 14, 2026
23 minute read
Malware analysis is the process of dissecting malicious software (malware) to understand its functionality, origin, and potential impact. At a high level, it involves examining a suspicious file or code to determine what it does, how it does it, and how to detect and eliminate it. This field is critical in the ongoing battle against cyber threats, helping organizations and individuals protect their digital assets.
Working in malware analysis can be both intellectually stimulating and impactful. Analysts often find themselves on the front lines of cybersecurity, investigating the latest threats and developing countermeasures. The thrill of outsmarting cybercriminals, the satisfaction of protecting systems and data, and the constant learning curve as new malware variants emerge are just a few aspects that professionals in this field may find engaging and exciting. For those with a penchant for problem-solving and a desire to make a tangible difference in the digital world, malware analysis offers a challenging and rewarding career path.
What is Malware Analysis?
This section will delve into the specifics of what malware analysis entails, its historical context, and its primary objectives. We will also differentiate it from other related cybersecurity fields to provide a clear understanding of its unique role.
Defining the Discipline: Purpose and Scope
Malware analysis is the systematic examination of malware – such as viruses, worms, trojans, ransomware, and spyware – to understand its behavior, characteristics, and purpose. The primary goal is to gather actionable intelligence that can be used to detect, mitigate, and eradicate threats. This involves studying how malware infects systems, communicates with its controllers, and achieves its malicious objectives. Analysts use a variety of tools and techniques to dissect malware samples in a safe and controlled environment.
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Find a path to becoming a Malware Analysis. Learn more at:
OpenCourser.com/topic/zj9yp4/malware
Reading list
We've selected 17 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Malware Analysis.
Affectionately known across the cybersecurity industry as the Alien Book, Michael Sikorski and Andrew Honig's hands-on curriculum teaches static PE header inspection, sandbox behavioral monitoring, x86 IDA Pro disassembly, DLL injection, shellcode analysis, and unpacking.
Connecting malware reverse engineering directly to writing production YARA rules, Snort/Suricata network signatures, and SIEM detection logic, Abhijit Mohanta and Anoop Saldanha cover x64 assembly, process hollowing, PowerShell/VBA obfuscation, and packers.
Updated in its second edition for modern APT tradecraft, Alexey Kleymenov and Amr Thabet dissect 64-bit Windows internals,.NET/Go/Rust compiled malware, UEFI/firmware rootkits, anti-debugging tricks, and script-based fileless payloads.
Uncovering rootkits, injected shellcode, and kernel-level artifacts hidden in volatile RAM, Ligh, Case, Levy, and Walters teach malware analysts how to dissect live memory dumps with Volatility.
Walking incident responders through building an isolated lab environment, analyzing malicious PDF/Office documents, debugging x86/x64 binaries with x64dbg, and automating indicator extraction in Python, Monnappa K A provides a smooth on-ramp.
Since the NSA open-sourced Ghidra, its built-in decompiler and P-code intermediate representation have become central to modern malware reverse engineering. Chris Eagle and Kara Nance detail headless scripting, binary diffing, and obfuscated control flow recovery.
Focusing on macOS Mach-O binaries, launch agents, dylib hijacking, AppleScript/JXA persistence, and ARM64 (Apple Silicon) reverse engineering, Objective-See founder Patrick Wardle dissects real-world Lazarus Group and nation-state Mac malware.
Mastering interactive static disassembly—reconstructing C structs, vtables, stack frames, FLIRT library signatures, and IDAPython automation—remains essential for deep malware analysis, and Chris Eagle's guide is the canonical reference.
Applying call-graph similarity networks, Jaccard n-gram clustering, and machine learning classifiers to millions of PE samples, Sophos chief data scientist Joshua Saxe and Hillary Sanders show how to attribute malware families at scale.
Dissecting ELF binary headers, GOT/PLT linking hijacks, ptrace anti-debugging, ELF parasite code injection, and Linux kernel module (LKM) rootkits, Ryan O'Neill equips analysts to reverse-engineer Linux server and IoT botnet malware.
Dissecting anti-debugging tricks, sandbox detection, timing checks, and EDR evasion techniques used by modern implants, Kyle Cucci gives reverse engineers a field manual for defeating evasive malware.
Advancing from manual disassembly to automated dynamic taint analysis, Intel PIN binary instrumentation, and Z3 symbolic execution, Dennis Andriesse shows how to defeat opaque predicates and solve input-triggered logic bombs.
Integrating live incident response triage on compromised hosts with laboratory specimen examination, Cameron Malin, Eoghan Casey, and James Aquilina provide a structured forensic methodology for preserving volatile evidence and analyzing trojans.
Exploring Hidden Markov Models, opcode sequence embeddings, image-based CNN malware classification, and adversarial evasion attacks against ML-based Endpoint Detection and Response (EDR) sensors.
Descending below the operating system into Master Boot Records, Volume Boot Records, UEFI DXE drivers, and hypervisor-assisted rootkits (such as TDL4, Rovnix, and LoJax), Alex Matrosov, Eugene Rodionov, and Sergey Bratus reveal how advanced threats persist.
Advancing macOS threat research into dynamic behavioral monitoring, Endpoint Security framework telemetry, and Mach-O binary dissection, Patrick Wardle equips analysts to detect and reverse modern Apple-platform threats.
Recounting how malware analysts at VirusBlokAda and Symantec reverse-engineered four zero-day exploits, stolen Realtek/JMicron driver certificates, and Siemens Step7 PLC rootkit logic inside Stuxnet reads like a masterclass in high-stakes malware investigation.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/zj9yp4/malware
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