Training Course on Analyzing Rootkits and Bootkits
Training Course on Analyzing Rootkits and Bootkits offers hands-on training in detecting, dissecting, and mitigating these threats using real-world tools and forensic techniques, aligning with today?s cybersecurity trends and compliance requirements.
Skills Covered

Course Overview
Training Course on Analyzing Rootkits and Bootkits
Introduction
Rootkits and bootkits represent some of the most advanced and stealthiest forms of cyber threats targeting operating systems, firmware, and boot processes. These malware variants are designed to gain persistent, unauthorized access and control while evading detection by traditional security solutions. With the increasing sophistication of Advanced Persistent Threats (APTs), nation-state actors, and cybercriminals, understanding the internal workings of rootkits and bootkits is essential for cybersecurity professionals. Training Course on Analyzing Rootkits and Bootkits offers hands-on training in detecting, dissecting, and mitigating these threats using real-world tools and forensic techniques, aligning with today’s cybersecurity trends and compliance requirements.
In this intensive training course, participants will engage in deep system analysis, kernel debugging, and reverse engineering techniques. The curriculum emphasizes memory forensics, BIOS/UEFI compromise detection, bootloader inspection, and live system incident response. The training aligns with cybersecurity frameworks such as NIST, MITRE ATT&CK, and ISO/IEC 27001, enabling participants to develop the expertise needed to defend enterprise infrastructure against rootkit and bootkit infections. Ideal for digital forensic analysts, incident responders, and SOC teams, the course bridges theoretical concepts with practical experience through case studies, labs, and real-world simulations.
Course Objectives
- Understand the lifecycle and types of rootkits and bootkits.
- Identify persistent threats and stealth malware signatures.
- Perform memory forensics using Volatility and Rekall.
- Analyze kernel-level hooks and driver manipulation techniques.
- Detect UEFI/BIOS compromise and boot-level tampering.
- Use reverse engineering tools for malware analysis.
- Employ dynamic analysis and sandboxing methods.
- Investigate user-mode and kernel-mode rootkits.
- Map malware behavior to MITRE ATT&CK framework.
- Simulate advanced persistent threat (APT) attacks.
- Conduct forensic triage on compromised systems.
- Apply threat hunting strategies for rootkit detection.
- Develop incident response plans for malware persistence.
Target Audiences
- Cybersecurity Analysts
- Digital Forensic Experts
- Malware Researchers
- Incident Response Teams
- SOC Analysts
- System Administrators
- Reverse Engineers
- Penetration Testers
Course Duration: 5 days
Course Modules
Module 1: Introduction to Rootkits and Bootkits
- History and evolution of rootkits/bootkits
- Types: User-mode, Kernel-mode, Firmware-based
- Attack vectors and payload delivery
- Detection challenges and evasion tactics
- Overview of modern threats
- Case Study: Analysis of Stuxnet’s stealth component
Module 2: Rootkit Installation and Persistence Mechanisms
- Process injection and DLL hijacking
- Registry modification techniques
- Scheduled tasks and service manipulation
- Bootkit persistence via MBR/VBR
- Rootkit behavior during system boot
- Case Study: ZeroAccess rootkit infection analysis
Module 3: Memory Forensics & Rootkit Detection
- RAM acquisition tools and techniques
- Using Volatility/Rekall for memory analysis
- Identifying hidden processes and hooks
- Signature vs heuristic detection
- Anomaly-based memory scanning
- Case Study: Detecting a hidden rootkit using Volatility
Module 4: Reverse Engineering Malware Components
- Intro to IDA Pro, Ghidra, and x64dbg
- Analyzing PE file structure
- Recognizing anti-analysis techniques
- Disassembly and static code analysis
- Decoding encrypted payloads
- Case Study: Reversing a polymorphic kernel rootkit
Module 5: Bootkits and Firmware-Level Threats
- Anatomy of a boot process
- BIOS/UEFI exploitation techniques
- Bootloader malware detection
- Secure Boot and measured boot bypass
- UEFI rootkits: detection and remediation
- Case Study: Analysis of the LoJax bootkit
Module 6: Kernel Debugging and Driver Analysis
- Setting up WinDbg and kernel debugging
- Analyzing suspicious drivers
- Hooking and rootkit behavior analysis
- Driver signing and verification
- API tracing and syscall monitoring
- Case Study: Uncovering kernel hooks in a rogue driver
Module 7: Threat Hunting and Advanced Detection Techniques
- Building YARA rules for rootkits
- Hunting using memory and disk artifacts
- Leveraging MITRE ATT&CK for detection mapping
- Behavior-based detection strategies
- SIEM and EDR integration
- Case Study: Threat hunting a custom rootkit in enterprise logs
Module 8: Incident Response and Mitigation Strategies
- Live incident handling procedures
- Rootkit removal tools and scripts
- Building a remediation playbook
- Chain of custody and forensic reporting
- Communication with stakeholders
- Case Study: Rootkit remediation in a compromised banking network
Training Methodology
- Hands-on labs using virtual machines and infected images
- Live demonstrations of malware analysis
- Group-based practical scenarios
- Real-world case studies and simulations
- Assessment quizzes and skill evaluations
Register as a group from 3 participants for a Discount
Send us an email: info@datastatresearch.org or call +254724527104
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 DATASTAT CONSULTANCY LTD account, as indicated in the invoice so as to enable us prepare better for you.