Introduction

In today’s cybersecurity landscape, sophisticated malware threats such as fileless attacks, polymorphic malware, and zero-day exploits continue to evolve. Training Course on Dynamic Malware Analysis and Sandboxing equips cybersecurity professionals with the advanced skills necessary to detect, analyze, and neutralize these threats in real-time environments. Through hands-on labs and sandbox-based investigations, participants will gain a deep understanding of malware behavior, threat emulation, reverse engineering, and behavioral analysis.

With the rise of Advanced Persistent Threats (APTs) and evasive malware, this course provides essential training for threat hunters, SOC analysts, and malware analysts. Leveraging modern sandboxing tools and dynamic analysis platforms, learners will explore the internals of malware in isolated environments, safely mimicking attack scenarios for comprehensive behavioral insight.

Programme Curriculum

Training Course on Dynamic Malware Analysis and Sandboxing

Introduction

Course Objectives

Understand the fundamentals of dynamic malware analysis
Use sandboxing technology to detect evasive threats
Analyze polymorphic and metamorphic malware behavior
Detect fileless malware and memory-resident attacks
Deploy virtualized environments for threat containment
Perform API call and registry activity tracing
Monitor network communication of malware samples
Integrate dynamic analysis with incident response workflows
Identify evasion techniques used by modern malware
Correlate behavioral indicators with malware classification
Apply threat intelligence enrichment to analysis findings
Use tools like Cuckoo Sandbox and Any.Run effectively
Conduct end-to-end dynamic analysis lab simulations

Target Audiences

Malware Analysts
Cybersecurity Researchers
Threat Intelligence Teams
SOC Analysts
Incident Response Teams
Digital Forensics Experts
Penetration Testers
Network Security Engineers

Course Duration: 5 days

Course Modules

Module 1: Introduction to Dynamic Malware Analysis

Basics of static vs dynamic analysis
The malware lifecycle
Virtualization for safe analysis
Behavioral analysis foundations
Introduction to sandbox environments
Case Study: Analyzing a basic keylogger in a virtual sandbox

Module 2: Sandboxing Technology Deep Dive

Architecture of sandboxing platforms
Cloud vs on-premise sandboxes
Evading sandbox detection
Automated vs manual sandbox analysis
Integrating sandboxing into SOC operations
Case Study: Investigating ransomware using Cuckoo Sandbox

Module 3: Malware Behavioral Analysis

Monitoring system calls and processes
Registry and file system changes
Memory forensics in dynamic analysis
Using ProcMon and Wireshark
Behavior-based detection indicators (IOCs)
Case Study: Behavioral analysis of a trojan downloader

Module 4: Network and API Monitoring

API hooking and DLL injection
Interpreting API call chains
Command & Control (C2) communication patterns
Detecting data exfiltration
Analyzing encrypted traffic behavior
Case Study: Uncovering a backdoor through API activity

Module 5: Evasive Malware and Anti-Analysis Techniques

Sandbox-aware malware behavior
Anti-VM and anti-debugging tactics
Code obfuscation and packers
Tactics for bypassing behavior detection
Strategies to counter evasive samples
Case Study: Malware sample evading automated sandbox

Module 6: Integration with Threat Intelligence

Enriching sandbox results with TI feeds
Mapping IOCs to MITRE ATT&CK
Pivoting across malware families
Leveraging YARA rules for classification
Automating threat reporting
Case Study: Enriching sandbox output with MISP

Module 7: Tools and Platforms for Dynamic Analysis

Overview of dynamic analysis tools
Cuckoo, Any.Run, Joe Sandbox, Hybrid Analysis
Setting up and configuring tools
Tool comparison and limitations
Open-source vs commercial solutions
Case Study: Building a custom sandbox workflow

Module 8: End-to-End Malware Analysis Simulation

Preparing a safe lab environment
Analyzing an advanced persistent threat
Documenting findings and indicators
Mitigation strategies based on results
Reporting and communicating with stakeholders
Case Study: Full dynamic analysis of APT malware

Training Methodology

Instructor-led sessions with real-world malware samples
Hands-on virtual lab simulations
Group-based malware analysis challenges
Guided reverse engineering exercises
Use of open-source and commercial sandbox tools
Post-lab debriefing and threat modeling

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

Cuckoo Sandbox hybrid analysis platforms

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

Oct 19 2026

19 Oct — 23 Oct 2026

💻 Online / Virtual session

Online $1,000