Introduction

In today’s cybersecurity landscape, malware analysis and reverse engineering are crucial skills for understanding sophisticated threats and defending modern digital infrastructures. Training Course on Advanced Malware Reverse Engineering is designed to equip cybersecurity professionals with in-depth technical knowledge to dissect complex malware targeting Windows architectures, analyze advanced obfuscation techniques, and trace execution through assembly-level debugging. This course leverages real-world malware samples, sandboxing, and dynamic/static analysis strategies to ensure learners gain practical, hands-on experience in identifying and neutralizing malicious code.

This course bridges the gap between theory and practice, diving deep into x86 and x64 assembly instructions, anti-reverse engineering tactics, packer/unpacker technologies, code injection, and kernel-level rootkits. Learners will emerge with the skills to perform binary dissection, identify command-and-control (C2) mechanisms, and craft custom tools for reverse engineering and behavioral analysis. Whether you’re aiming for a career in threat intelligence, digital forensics, or incident response, this course provides cutting-edge content aligned with today’s advanced persistent threat (APT) landscape.

Programme Curriculum

Training Course on Advanced Malware Reverse Engineering

Introduction

Course Objectives

Understand x86/x64 architecture and assembly language for malware analysis
Perform static and dynamic malware analysis using IDA Pro, Ghidra, and x64dbg
Unpack and decrypt obfuscated and packed malware
Analyze real-world APT samples and zero-day malware
Apply anti-debugging and anti-VM detection techniques
Build custom scripts and plugins for automation using Python
Identify and analyze C2 protocols and persistence mechanisms
Reverse engineer kernel-mode drivers and rootkits
Use API hooking and memory forensics for deep analysis
Map malware behavior to MITRE ATT&CK framework
Perform behavioral analysis in a secure sandbox environment
Craft YARA rules for malware classification and detection
Document and report malware capabilities for threat intelligence

Target Audience

Malware Analysts
Threat Intelligence Researchers
Cybersecurity Engineers
Reverse Engineers
Incident Responders
Penetration Testers
Digital Forensics Experts
Advanced Computer Science Students

Course Duration: 10 days

Course Modules

Module 1: Introduction to Malware Reverse Engineering

Overview of malware reverse engineering
Importance of static and dynamic analysis
Basic x86/x64 architecture
Tools of the trade: IDA, Ghidra, x64dbg
Lab setup and best practices
Case Study: Dissecting a simple backdoor Trojan

Module 2: Mastering x86/x64 Assembly Language

Registers, instructions, and calling conventions
Control flow structures (loops, branches, conditions)
Stack management and memory layout
Function prologues and epilogues
Common malware patterns in assembly
Case Study: Analyzing a ransomware dropper

Module 3: Static Analysis Techniques

Disassembly using IDA Pro and Ghidra
Control flow graph (CFG) and function analysis
String analysis and imports/exports
Embedded resource and metadata analysis
Limitations of static techniques
Case Study: Static analysis of a phishing Trojan

Module 4: Dynamic Analysis and Debugging

Debugging tools and techniques (x64dbg, OllyDbg)
Setting breakpoints and tracing execution
Memory inspection and manipulation
Analyzing runtime behavior and IOCs
Anti-debugging detection and bypassing
Case Study: Dynamic analysis of a RAT (Remote Access Trojan)

Module 5: Understanding Packing and Obfuscation

Types of packers and obfuscators
Manual and automated unpacking
XOR, Base64, and custom encryption methods
Code virtualization and opaque predicates
Using PEiD, UPX, and Scylla tools
Case Study: Unpacking a polymorphic virus

Module 6: Malware Persistence and Evasion

Registry persistence and scheduled tasks
DLL injection and process hollowing
API hooking and function redirection
Evasion techniques (sandbox, AV, EDR)
Detecting stealth behaviors
Case Study: Analyzing malware with advanced evasion logic

Module 7: Network Behavior and C2 Analysis

Identifying network indicators
Reverse engineering C2 protocols
Traffic analysis using Wireshark and Fiddler
DNS tunneling and covert channels
C2 infrastructure mapping
Case Study: Tracking an active malware C2 infrastructure

Module 8: Kernel-Level Rootkit Analysis

Introduction to Windows kernel architecture
Rootkit techniques and hooks
Ring 0 vs Ring 3 malware
Analyzing drivers with WinDbg
Detection and removal techniques
Case Study: Reverse engineering a stealthy kernel-mode rootkit

Module 9: Memory Forensics in Reverse Engineering

Memory dump acquisition and tools (Volatility, Rekall)
Extracting malicious artifacts
Identifying code injection and API hooks
Process hollowing and DLL sideloading
Timeline and process tree reconstruction
Case Study: Memory analysis of fileless malware

Module 10: Python for Malware Automation

Python scripting for reverse engineering
Automating unpacking and decoding
Ghidra and IDA scripting
Parsing logs and extracting IOCs
Creating automation pipelines
Case Study: Automating analysis of a malware family

Module 11: Threat Attribution and TTP Mapping

Mapping TTPs to MITRE ATT&CK
APT group profiling and indicators
Linking malware samples to threat actors
Threat intelligence reporting standards
Intelligence correlation and pivoting
Case Study: Attribution of an APT campaign using reverse engineering

Module 12: YARA Rules and Signature Creation

Writing effective YARA rules
Rule testing and tuning
Binary pattern matching
Integration into SIEMs and antivirus
Rule obfuscation avoidance
Case Study: Creating YARA rules for a malware campaign

Module 13: Reverse Engineering Android/IoT Malware

ARM vs x86 architecture differences
Tools: Apktool, Radare2, Ghidra for ARM
Firmware unpacking and binwalk
Memory analysis for mobile devices
IoT malware communication
Case Study: Reverse engineering Mirai botnet variant

Module 14: Exploit and Shellcode Analysis

Common exploitation techniques
Shellcode decoding and emulation
Buffer overflows and ROP chains
Analyzing exploits in malware payloads
Exploit kit behaviors
Case Study: Deconstructing a shellcode-based dropper

Module 15: Final Malware Lab Challenge & Report

Complex malware dissection capstone
Static and dynamic analysis summary
Threat classification and documentation
IOC extraction and YARA creation
Presenting findings in a threat report
Case Study: Final analysis of nation-state malware sample

Training Methodology

Instructor-led virtual or in-person sessions
Hands-on labs with real-world malware samples
Scenario-based exercises and simulations
Collaborative group projects and knowledge sharing
Assessments and lab certifications after each module

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

IDA Pro OllyDbg reverse engineering frameworks

Programme Fee

Duration: 10 Days

Method: Online or Physical

Online Price: $2,000

Physical Price: $3,000

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Oct 19 2026

19 Oct — 30 Oct 2026

💻 Online / Virtual session

Online $2,000