Introduction

Reverse Engineering Malware (REM) Techniques is an advanced cybersecurity course that provides professionals with the analytical skills and technical expertise to dissect, understand, and mitigate malicious software threats. With the increasing sophistication of cyberattacks, organizations are facing persistent threats from ransomware, trojans, worms, spyware, and advanced persistent threats (APTs). Reverse Engineering Malware (REM) Techniques Training Course equips participants with the knowledge of malware lifecycles, attack vectors, obfuscation techniques, and anti-analysis mechanisms, enabling them to proactively analyze malware behavior, uncover hidden functionalities, and develop effective mitigation strategies. Participants will gain practical experience using state-of-the-art tools, debugging techniques, and static and dynamic analysis approaches for comprehensive malware investigation.

The course also emphasizes actionable threat intelligence, secure coding practices, memory analysis, and vulnerability research, providing participants with the ability to anticipate and respond to evolving cyber threats. By integrating real-world case studies, hands-on labs, and interactive simulations, learners will enhance their capability to reverse engineer malware, extract Indicators of Compromise (IOCs), and strengthen enterprise cybersecurity posture. This REM training fosters critical thinking, technical problem-solving, and the application of best practices in malware analysis to secure organizational systems against emerging and sophisticated cyber threats.

Programme Curriculum

Reverse Engineering Malware (REM) Techniques Training Course

Introduction

Course Objectives

Understand malware types, behaviors, and lifecycle techniques.
Apply static analysis methods for disassembling and decompiling malware.
Conduct dynamic malware analysis using sandboxing and monitoring tools.
Detect obfuscation, encryption, and anti-debugging mechanisms.
Utilize debugging and disassembly tools for effective malware reverse engineering.
Analyze memory dumps and extract malicious code execution paths.
Identify Indicators of Compromise (IOCs) and develop threat intelligence reports.
Understand exploit techniques and advanced persistent threats (APTs).
Examine malware communication channels and network-based behaviors.
Develop remediation strategies and incident response plans.
Integrate malware analysis into proactive cybersecurity defense frameworks.
Apply safe lab practices and containment procedures during malware analysis.
Use reverse engineering techniques to support vulnerability research and security assessments.

Organizational Benefits

Strengthened cybersecurity posture through proactive malware detection
Enhanced incident response and mitigation capabilities
Improved threat intelligence and reporting efficiency
Reduced downtime and financial losses from malware attacks
Advanced skill development for IT security and SOC teams
Improved vulnerability research and penetration testing effectiveness
Increased resilience against ransomware and APTs
Standardized processes for malware analysis and documentation
Reduced risk of data breaches and system compromise
Competitive advantage through advanced cybersecurity expertise

Target Audiences

Cybersecurity analysts and threat hunters
Incident response teams and SOC operators
Malware researchers and reverse engineering specialists
Network and system security engineers
Digital forensics investigators
Penetration testers and ethical hackers
IT security managers and directors
Security consultants and auditors

Course Duration: 10 days

Course Modules

Module 1: Introduction to Malware Analysis

Overview of malware types and behaviors
Malware lifecycle and propagation techniques
Common malware attack vectors
Introduction to malware analysis tools
Security lab setup for safe analysis
Case Study: Dissecting a ransomware attack

Module 2: Static Malware Analysis

Understanding binary structures and file formats
Disassembly and decompilation techniques
Analyzing code without executing malware
Signature-based detection methods
Extracting IOCs from static artifacts
Case Study: Reverse engineering a trojan executable

Module 3: Dynamic Malware Analysis

Setting up sandbox environments
Monitoring runtime behavior of malware
Capturing system changes and registry modifications
Analyzing process and network activity
Detecting anti-analysis and evasion techniques
Case Study: Analyzing a worm’s propagation mechanism

Module 4: Debugging Techniques

Using debuggers for malware inspection
Breakpoint setting and step execution
Analyzing memory and CPU registers
Understanding malware control flow
Detecting runtime anti-debugging techniques
Case Study: Debugging an advanced spyware sample

Module 5: Disassembly and Decompilation

Disassembler tools and techniques
Extracting assembly instructions from binaries
Mapping code flow and logic structures
Identifying malicious routines
Integrating disassembly into analysis reports
Case Study: Decompiling a packed malware sample

Module 6: Obfuscation and Encryption Techniques

Identifying code obfuscation methods
Understanding packing and encryption in malware
Deobfuscating strings and code segments
Analyzing custom encryption routines
Techniques for automated unpacking
Case Study: Breaking obfuscation in a ransomware sample

Module 7: Memory and Process Analysis

Analyzing memory dumps for malware artifacts
Identifying malicious processes and threads
Examining injected code and reflective DLLs
Live memory analysis techniques
Extracting payloads from running malware
Case Study: Memory forensics on an APT sample

Module 8: Network and Communication Analysis

Capturing network traffic from malware
Understanding C2 channels and protocols
Detecting exfiltration and lateral movement
Analyzing encrypted communications
Tools for network behavior monitoring
Case Study: Investigating malware beaconing to C2 server

Module 9: Indicators of Compromise (IOCs)

Identifying file, registry, and network IOCs
Using IOCs for threat detection and alerts
Creating signatures for detection tools
Correlating IOCs with threat intelligence feeds
Documenting findings for SOC teams
Case Study: Generating actionable IOCs from a ransomware attack

Module 10: Advanced Persistent Threat (APT) Analysis

Understanding APT attack lifecycle
Malware techniques used in APT campaigns
Behavioral analysis for stealthy malware
Threat actor TTP mapping
Integration with threat intelligence platforms
Case Study: Reverse engineering malware used in APT intrusion

Module 11: Malware Remediation and Incident Response

Developing remediation strategies
Containment and eradication techniques
Integrating malware analysis into IR workflows
Post-incident monitoring and reporting
Best practices for secure system restoration
Case Study: Responding to a corporate network ransomware incident

Module 12: Safe Lab Practices

Segregated environments for malware handling
Virtualization and snapshot techniques
Preventing accidental spread of malware
Tool and software hygiene in labs
Compliance and regulatory considerations for analysis labs
Case Study: Setting up a safe malware research lab

Module 13: Malware Analytics and Threat Intelligence

Extracting actionable intelligence from malware
Integrating analysis results into SOC dashboards
Threat hunting using malware indicators
Reporting techniques for stakeholders
Correlating multiple malware events
Case Study: Intelligence-driven malware mitigation

Module 14: Automated Malware Analysis

Automated analysis frameworks and sandbox tools
Advantages and limitations of automation
Combining manual and automated analysis techniques
Parsing results from analysis platforms
Reducing time-to-detection through automation
Case Study: Automated malware triage in enterprise environment

Module 15: Emerging Malware Trends and Research

IoT, mobile, and cloud-based malware analysis
Machine learning applications in malware detection
Tracking evolution of malware families
Researching zero-day malware threats
Preparing for future threats in cybersecurity
Case Study: Reverse engineering a novel zero-day exploit

Training Methodology

Instructor-led lectures and interactive presentations
Hands-on labs and guided malware analysis exercises
Case study evaluations and peer learning discussions
Practical exercises using debuggers, disassemblers, and sandbox tools
Simulated attack scenarios and incident response drills
Action-plan development for integrating REM techniques into organizational security

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 Radare2

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

Nov 02 2026

02 Nov — 13 Nov 2026

💻 Online / Virtual session

Online $2,000