You will learn to analyze PE files, trace execution in sandboxes, debug malware at the assembly level, and disassemble binaries using industry-standard tools including IDA Pro, Ghidra, x64dbg, and OllyDbg. The curriculum covers the full spectrum of malware types — from simple trojans to sophisticated ransomware, rootkits, and APT-grade implants.
Beyond basic analysis, this course teaches advanced topics including obfuscation and packing techniques, anti-analysis bypass methods, YARA rule creation, and ransomware behavior analysis. Graduates of this program are equipped to contribute to threat intelligence, malware detection engineering, and incident response at the highest technical level.
What is Malware? : Malware taxonomy: viruses, worms, trojans, ransomware, rootkits, spyware, and advanced implants.
Malware Analysis Approaches : Static vs dynamic analysis — choosing the right approach for different analysis scenarios.
Safe Analysis Environment Setup : Building isolated malware analysis labs using virtualization, snapshots, and network isolation.
Malware Analysis Ethics & Legality : Legal considerations, responsible disclosure, and professional ethics in malware research.
Course
Malware Analysis & Reverse Engineering
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Ratings & Reviews
Average -
4.6★
Vivek Menon
1 month ago
The most technically challenging and rewarding course I've taken
The assembly language and debugging modules were genuinely challenging but the instructors explained every concept with patience and excellent examples. After completing this course, I reverse-engineered my first real-world sample within a week of starting my new role as a malware analyst.
Kavitha Suresh
2 months ago
IDA Pro and Ghidra training is world-class
I had tried to learn malware analysis through YouTube and online articles, but nothing compared to this structured program. The IDA Pro and Ghidra modules gave me the systematic approach I was missing. The YARA rule development section is incredibly practical and immediately applicable.
Sameer Chavan
3 weeks ago
Excellent coverage of ransomware and rootkit analysis
The ransomware analysis module is exceptional — analyzing actual ransomware samples in the lab environment while tracing through the encryption routine was an experience unlike any other training I have had. The rootkit detection techniques are advanced and directly relevant to current threats.
Preeti Kapoor
2 weeks ago
Transformed my threat intelligence career
As a threat intelligence analyst, understanding malware at a code level completely transformed the quality of my reporting. The IOC extraction methodology and YARA rule development skills I gained here have made my threat intelligence output significantly more actionable for our security operations team.
Frequently Asked Questions
Prior programming experience is helpful but not strictly required. The course includes a dedicated assembly language module that brings you up to speed for malware analysis purposes. Familiarity with C or Python is beneficial, particularly for the scripting and automation sections of the course.
You will gain hands-on experience with IDA Pro (free version), Ghidra, x64dbg, OllyDbg, Wireshark, Process Monitor (Sysinternals), FakeNet-NG, Cuckoo Sandbox, ANY.RUN, YARA, PEiD, CFF Explorer, and DIE (Detect-It-Easy) among other industry-standard tools.
Malware Analysis is an intermediate-to-advanced course. You should have a solid understanding of Windows operating systems, basic networking, and ideally some familiarity with command-line interfaces. Prior experience with cybersecurity fundamentals or a related course like CEH or CompTIA Security+ is recommended.
Malware analysis is the primary source of detailed technical threat intelligence. Analysts who can reverse engineer malware extract IOCs, understand attacker capabilities and TTPs, identify attribution indicators, and produce YARA rules that protect entire organizations. Threat intelligence without malware analysis skills is significantly limited.
Yes. Lab exercises use real (deactivated or isolated) malware samples in secure, isolated virtual environments. Students analyze actual trojans, ransomware samples, and network worms under controlled conditions. The safe lab environment ensures no risk to participants' systems.
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