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Digital Forensics
Training Course on Static Malware Analysis Techniques (Advanced)
Introduction
In today's cybersecurity landscape, understanding static malware analysis techniques is crucial for preventing and mitigating advanced persistent threats (APTs). Training Course on Static Malware Analysis Techniques (Advanced) equips cybersecurity professionals, forensic analysts, and malware researchers with the skills to dissect and interpret malicious binaries without executing them. With increasing incidents of nation-state cyberattacks, ransomware variants, and polymorphic malware, this course offers cutting-edge knowledge using SEO-optimized keywords such as reverse engineering, binary dissection, signature detection, and code obfuscation to enhance visibility and relevance.
This course dives deep into advanced topics like analyzing PE files, disassembling obfuscated malware, and interpreting encoded payloads using static analysis tools and techniques. Designed with trending cybersecurity needs in mind, learners will engage with hands-on labs, case studies, and in-depth walkthroughs. Whether you're in incident response or threat intelligence, this course will enhance your capabilities to uncover embedded threats, detect vulnerabilities, and build proactive defense mechanisms.
Programme Curriculum
Training Course on Static Malware Analysis Techniques (Advanced)
Introduction
In today's cybersecurity landscape, understanding static malware analysis techniques is crucial for preventing and mitigating advanced persistent threats (APTs). Training Course on Static Malware Analysis Techniques (Advanced) equips cybersecurity professionals, forensic analysts, and malware researchers with the skills to dissect and interpret malicious binaries without executing them. With increasing incidents of nation-state cyberattacks, ransomware variants, and polymorphic malware, this course offers cutting-edge knowledge using SEO-optimized keywords such as reverse engineering, binary dissection, signature detection, and code obfuscation to enhance visibility and relevance.
This course dives deep into advanced topics like analyzing PE files, disassembling obfuscated malware, and interpreting encoded payloads using static analysis tools and techniques. Designed with trending cybersecurity needs in mind, learners will engage with hands-on labs, case studies, and in-depth walkthroughs. Whether you're in incident response or threat intelligence, this course will enhance your capabilities to uncover embedded threats, detect vulnerabilities, and build proactive defense mechanisms.
Course Objectives
Analyze malicious binaries using advanced static malware techniques
Perform deep inspection of Portable Executable (PE) files
Identify obfuscation and packing techniques used in malware
Reverse engineer shellcode and malicious scripts
Extract and interpret embedded resources in binary files
Apply string analysis for detecting hardcoded IOCs
Use disassemblers like Ghidra and IDA Pro for advanced analysis
Detect encryption and encoding in malware payloads
Understand API call patterns for malicious behavior mapping
Automate static malware analysis workflows using Python
Correlate findings with threat intelligence reports
Build YARA rules for malware family detection
Create static analysis reports with actionable insights
Target Audiences
Malware Analysts
Cybersecurity Professionals
Threat Intelligence Analysts
Incident Responders
Security Researchers
Reverse Engineers
Digital Forensic Experts
SOC (Security Operations Center) Teams
Course Duration: 10 days
Course Modules
Module 1: Introduction to Static Malware Analysis
Definitions and concepts
Difference between static and dynamic analysis
Advantages and limitations
Malware analysis process flow
Common static analysis tools
Case Study: Dissecting a basic keylogger using only static tools
Module 2: PE File Format Deep Dive
PE headers and sections
Analyzing import/export tables
Detecting anomalies in PE structure
Tools for PE analysis (PEview, CFF Explorer)
Static detection of malware behavior
Case Study: Analyzing PE header tampering in a trojan sample
Module 3: Disassemblers and Decompilers
IDA Pro and Ghidra overview
Basic disassembly techniques
Understanding assembly code
Code flow reconstruction
Function-level analysis
Case Study: Reverse engineering a ransomware loader
Module 4: String and Metadata Analysis
Extracting readable strings
Identifying hardcoded IOCs
Unicode, ASCII, and encoded strings
Using tools like FLOSS and Strings
Metadata inspection tools
Case Study: IOC extraction from a phishing malware sample
Module 5: Identifying Packing and Obfuscation
Common packing techniques
How to detect packed files
Static unpacking tips
Anti-reversing methods used in malware
Tools: PEiD, DIE, UPX
Case Study: Analyzing a UPX-packed dropper
Module 6: Shellcode and Encoding Techniques
What is shellcode?
Shellcode identification via hex inspection
Encoding schemes (Base64, XOR, etc.)
Decoding obfuscated payloads
Shellcode extraction tools
Case Study: Extracting shellcode from an obfuscated Word macro
Module 7: API Call and Function Analysis
Understanding common Windows APIs in malware
Static tracing of API usage
Suspicious API call patterns
Tools for API inspection
Detection of indirect API resolution
Case Study: Static detection of DLL injection techniques
Module 8: Resource Section Analysis
Embedded files, icons, strings
Analyzing .rsrc section
Tools: Resource Hacker, BinText
Extracting malicious DLLs
Decryption of resource content
Case Study: Extracting and analyzing payload from a malicious PDF
Module 9: Control Flow and Code Obfuscation
What is control flow obfuscation
Recognizing jump-based obfuscation
Flattened code structure analysis
Simplifying control flow
Tools for control flow graphing
Case Study: Analyzing an obfuscated stealer malware
Module 10: Static Analysis with Ghidra
Ghidra installation and interface
Creating and analyzing projects
Decompilation overview
Scripting with Ghidra
Advanced reverse engineering features
Case Study: Ghidra-based dissection of a spyware sample
Module 11: YARA Rule Development
Introduction to YARA
Writing basic and advanced rules
Testing and refining signatures
Integration with analysis workflows
Rule repositories
Case Study: Creating YARA rules for a known malware family
Module 12: Automating Analysis with Python
Parsing PE files with pefile
Extracting strings and hashes
Automating YARA scanning
Custom script development
Building CLI tools
Case Study: Automating the detection of credential harvesters
Module 13: Threat Intelligence Integration
Mapping analysis results to MITRE ATT&CK
Linking indicators with threat feeds
Enrichment of static data
Building threat profiles
Creating threat intelligence reports
Case Study: Correlating malware analysis with APT38 behaviors
Module 14: Reporting and Documentation
Standard malware report templates
Visualizing analysis data
Providing actionable insights
Communication with stakeholders
Sharing reports responsibly
Case Study: Writing a professional report for a law enforcement case
Module 15: Capstone Project and Assessment
Apply techniques from all modules
Analyze a complex malware sample
Write full static analysis report
Develop YARA rule
Present findings to panel
Case Study: Full static analysis lifecycle of a nation-state malware
Training Methodology
Interactive instructor-led sessions
Hands-on labs and exercises
Group-based case study analysis
Tool walkthroughs and demos
Pre/post assessments for progress tracking
Register as a group from 3 participants for a Discount
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.