Introduction

Malware Analysis and Reverse Engineering is a critical skill set in the modern cybersecurity landscape, enabling organizations to detect, dissect, and defend against complex cyber threats. Malware Analysis and Reverse Engineering Training Course provides an in-depth exploration of malicious software behavior, attack vectors, and advanced reverse engineering techniques, emphasizing hands-on practical skills and strategic threat intelligence. Participants will gain expertise in static and dynamic malware analysis, debugging, unpacking obfuscated code, and understanding advanced persistent threats (APTs). The course combines theoretical frameworks with real-world scenarios, ensuring learners can accurately identify malware characteristics, assess risks, and develop effective mitigation strategies.

As cyber threats become increasingly sophisticated, security professionals must understand both the technical and analytical aspects of malware. This course equips participants with practical tools, scripting skills, forensic techniques, and knowledge of malware lifecycles to proactively safeguard networks, endpoints, and critical information assets. Learners will acquire the capability to analyze suspicious binaries, trace execution flows, interpret system changes, and contribute to threat intelligence reporting. By integrating reverse engineering practices into cybersecurity operations, organizations can enhance incident response, reduce damage, and maintain robust digital defenses.

Programme Curriculum

Malware Analysis and Reverse Engineering Training Course

Introduction

Course Objectives

Understand the fundamentals of malware types, behaviors, and attack vectors.
Apply static analysis techniques to dissect and understand malicious code.
Conduct dynamic analysis using sandbox environments and debuggers.
Utilize reverse engineering tools to decompile, unpack, and examine binaries.
Identify obfuscation and packing methods used by advanced malware.
Analyze network traffic and system artifacts to detect malware activity.
Develop scripts and automation to enhance malware analysis efficiency.
Conduct forensic investigations and incident response using malware insights.
Understand Advanced Persistent Threats (APT) and their attack methodologies.
Apply memory analysis techniques to extract hidden malware behavior.
Integrate malware analysis findings into threat intelligence reports.
Develop mitigation strategies and preventive controls for malware attacks.
Enhance overall cybersecurity posture through advanced reverse engineering.

Organizational Benefits

Strengthened cybersecurity defense and threat detection capabilities
Improved incident response and forensic investigation efficiency
Enhanced ability to analyze and mitigate malware outbreaks
Reduced operational risk from cyber-attacks and data breaches
Increased staff expertise in malware analysis and reverse engineering
Better integration of threat intelligence into security operations
Enhanced organizational resilience against advanced persistent threats
Improved network and endpoint monitoring practices
Increased ROI on security investments through proactive threat mitigation
Reinforced regulatory compliance and security governance

Target Audiences

Cybersecurity analysts and engineers
Incident response teams and SOC staff
Malware researchers and threat intelligence professionals
IT auditors and compliance officers
Digital forensics investigators
Security consultants and penetration testers
IT operations managers responsible for network security
Students and researchers in cybersecurity and digital forensics

Course Duration: 5 days

Course Modules

Module 1: Introduction to Malware and Threat Landscape

Overview of malware types, families, and characteristics
Evolution of malware and emerging threats
Understanding attack vectors and infection mechanisms
Malware lifecycle and propagation techniques
Basics of threat intelligence in malware detection
Case Study: Analysis of a recent ransomware outbreak

Module 2: Static Malware Analysis Techniques

Examining file headers, strings, and metadata
Understanding disassembly and reverse engineering basics
Identifying obfuscation and packing techniques
Analyzing code without execution to determine behavior
Tools for static analysis (IDA Pro, Ghidra, Binary Ninja)
Case Study: Static analysis of a trojan binary

Module 3: Dynamic Malware Analysis

Setting up secure sandbox environments for testing
Monitoring system changes, registry, and file modifications
Debugging and tracing malware execution
Capturing network communications and indicators of compromise
Automating dynamic analysis using scripts and tools
Case Study: Behavioral analysis of a spyware sample

Module 4: Reverse Engineering Fundamentals

Introduction to assembly language and instruction sets
Understanding executable formats (PE, ELF, Mach-O)
Decompilation and binary dissection techniques
Identifying control flows and function calls
Reverse engineering packed and obfuscated malware
Case Study: Reverse engineering a packed malware sample

Module 5: Memory and Code Analysis

Memory forensics and volatile data analysis
Extracting hidden malware behavior from memory dumps
Understanding code injection and process hollowing techniques
Using memory analysis tools (Volatility, Rekall)
Tracing runtime anomalies for malware detection
Case Study: Memory analysis of a ransomware in execution

Module 6: Network and Communication Analysis

Capturing and analyzing network traffic of malware
Detecting command-and-control communication
Extracting indicators of compromise from network data
Using packet analyzers and network monitoring tools
Identifying stealthy malware communication patterns
Case Study: Analyzing botnet network behavior

Module 7: Malware Mitigation and Defensive Strategies

Applying insights from malware analysis to incident response
Designing preventive security controls
Patch management, endpoint security, and threat hunting
Creating signatures and rules for malware detection
Integrating malware analysis into SOC operations
Case Study: Preventive measures against ransomware spread

Module 8: Threat Intelligence and Reporting

Documenting malware behavior and attack indicators
Sharing findings with internal teams and external partners
Producing actionable threat intelligence reports
Correlating malware activity with threat actor campaigns
Continuous improvement through intelligence-driven defense
Case Study: Intelligence report creation for a nation-state malware attack

Training Methodology

Instructor-led presentations and guided discussions
Hands-on labs for static, dynamic, and memory analysis
Practical exercises using real malware samples in secure environments
Group analysis, collaborative reverse engineering tasks
Case study reviews and peer-to-peer knowledge sharing
Development of threat intelligence reports and mitigation plans

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

MS Word IDA Pro Ghidra and OllyDbg

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Nov 02 2026

02 Nov — 06 Nov 2026

💻 Online / Virtual session

Online $1,000