Training Course on Static Malware Analysis Techniques (Advanced)

Course Title: Training Course on Static Malware Analysis Techniques (Advanced)

Executive Summary

This advanced two-week training course delves into static malware analysis techniques, equipping participants with the skills to dissect malicious software without executing it. The curriculum covers reverse engineering, disassembly, signature analysis, and identifying malicious indicators within executables. Participants will learn to use industry-standard tools, debuggers, and disassemblers to analyze malware code, extract configuration data, and understand its functionality. The course emphasizes hands-on exercises, case studies of real-world malware, and techniques for evading anti-analysis measures. By the end of the program, attendees will be proficient in identifying malware characteristics, understanding its behavior, and generating threat intelligence reports to mitigate risks. This training benefits security analysts, incident responders, and researchers seeking to enhance their malware analysis capabilities.

Introduction

In the face of ever-evolving cyber threats, the ability to effectively analyze malware is critical for incident response, threat intelligence, and proactive security measures. Traditional signature-based detection is often insufficient against advanced malware that employs obfuscation and evasion techniques. This advanced training course focuses on static malware analysis, providing participants with the in-depth knowledge and practical skills needed to dissect malicious code without risking execution. Participants will learn how to use debuggers, disassemblers, and other analysis tools to examine executable files, identify malicious behaviors, and extract valuable intelligence. This course covers advanced topics such as reverse engineering, code analysis, and techniques for bypassing anti-analysis measures. By mastering these techniques, participants will be able to proactively identify and respond to emerging threats, enhancing their organization’s security posture and incident response capabilities. This comprehensive training will empower security professionals to stay ahead of the malware curve and mitigate the impact of cyberattacks.

Course Outcomes

• Understand the principles and techniques of static malware analysis.
• Use disassemblers and debuggers to analyze malware code.
• Identify malicious indicators and extract configuration data from malware samples.
• Reverse engineer malware to understand its functionality and behavior.
• Analyze packed and obfuscated malware.
• Generate threat intelligence reports based on static analysis findings.
• Apply static analysis techniques to identify and mitigate malware threats.

Training Methodologies

• Expert-led lectures and presentations.
• Hands-on lab exercises using real-world malware samples.
• Case study analysis of prominent malware families.
• Interactive group discussions and Q&A sessions.
• Demonstrations of advanced analysis techniques.
• Individual and group projects to apply learned concepts.
• Use of virtualized environments for safe malware analysis.

Benefits to Participants

• Enhanced skills in static malware analysis.
• Improved ability to identify and understand malware threats.
• Proficiency in using industry-standard malware analysis tools.
• Increased knowledge of reverse engineering and code analysis techniques.
• Ability to generate actionable threat intelligence reports.
• Career advancement opportunities in cybersecurity and incident response.
• Confidence in analyzing and mitigating complex malware threats.

Benefits to Sending Organization

• Improved incident response capabilities.
• Enhanced threat intelligence gathering.
• Reduced risk of malware infections.
• Proactive identification of emerging threats.
• Increased security posture and resilience.
• More effective security team through knowledge sharing and skills enhancement.
• Improved return on investment in security tools and technologies.

Target Participants

• Security Analysts
• Incident Responders
• Reverse Engineers
• Malware Researchers
• Threat Intelligence Analysts
• Security Engineers
• System Administrators responsible for security.

WEEK 1: Foundations and Core Techniques

Module 1: Introduction to Static Malware Analysis

1. Overview of malware types and behaviors.
2. Static vs. dynamic analysis techniques.
3. Setting up a secure analysis environment.
4. Ethical considerations in malware analysis.
5. Basic tools for static analysis (e.g., PEiD, strings).
6. Hashing algorithms and malware identification.
7. Introduction to PE file format.

Module 2: PE File Format Analysis

1. In-depth examination of the PE file structure.
2. Understanding headers, sections, and imports/exports.
3. Using PE tools to inspect file metadata.
4. Identifying packers and protectors based on PE headers.
5. Analyzing resource sections for embedded data.
6. Detecting anomalies and suspicious characteristics.
7. Hands-on lab: Analyzing PE file headers.

Module 3: Disassembly and Code Analysis Fundamentals

1. Introduction to assembly language (x86/x64).
2. Using disassemblers (e.g., IDA Pro, Ghidra).
3. Basic assembly instructions and control flow.
4. Identifying function calls and API usage.
5. Analyzing code for malicious patterns.
6. Understanding stack frames and calling conventions.
7. Hands-on lab: Disassembling simple malware samples.

Module 4: String Analysis and Indicator Extraction

1. Advanced string searching techniques.
2. Identifying URLs, IP addresses, and domain names.
3. Extracting configuration data from strings.
4. Analyzing strings for encryption keys and algorithms.
5. Detecting obfuscated strings and decoding techniques.
6. Using regular expressions for pattern matching.
7. Hands-on lab: Extracting IOCs from malware strings.

Module 5: Signature Analysis and YARA Rules

1. Creating and using YARA rules for malware detection.
2. Developing signatures based on code patterns.
3. Scanning files and processes with YARA.
4. Integrating YARA with other analysis tools.
5. Sharing YARA rules and threat intelligence.
6. Optimizing YARA rules for performance.
7. Hands-on lab: Writing and testing YARA rules.

WEEK 2: Advanced Techniques and Evasion

Module 6: Packed and Obfuscated Malware Analysis

1. Introduction to malware packing and obfuscation techniques.
2. Identifying common packers (e.g., UPX, ASPack).
3. Unpacking malware using automated and manual methods.
4. Analyzing obfuscated code and deobfuscation techniques.
5. Using debuggers to trace execution flow through packers.
6. Dealing with anti-debugging techniques.
7. Hands-on lab: Unpacking malware samples.

Module 7: Reverse Engineering Malware Functionality

1. Advanced reverse engineering techniques.
2. Identifying key malware functionalities (e.g., persistence, communication).
3. Analyzing API calls to understand malware behavior.
4. Reconstructing the malware’s control flow graph.
5. Using debuggers to step through code and analyze registers.
6. Creating pseudo-code representations of malware functions.
7. Hands-on lab: Reverse engineering a keylogger.

Module 8: Analyzing Malicious Documents and Scripts

1. Analyzing malicious Office documents (e.g., Word, Excel).
2. Extracting macros and analyzing VBA code.
3. Analyzing malicious PDF files.
4. Analyzing malicious scripts (e.g., JavaScript, PowerShell).
5. Using tools to deobfuscate scripts.
6. Identifying exploit techniques used in malicious documents.
7. Hands-on lab: Analyzing a malicious Word document.

Module 9: Anti-Analysis Techniques and Countermeasures

1. Overview of common anti-analysis techniques.
2. Detecting and bypassing anti-debugging measures.
3. Dealing with virtualization detection techniques.
4. Analyzing code that uses timing-based evasion.
5. Identifying and bypassing anti-disassembly techniques.
6. Using dynamic analysis to complement static analysis.
7. Discussion of ethical considerations when bypassing anti-analysis techniques.

Module 10: Threat Intelligence and Reporting

1. Generating threat intelligence reports based on static analysis.
2. Documenting malware characteristics and behavior.
3. Sharing threat intelligence with the security community.
4. Using threat intelligence platforms (TIPs).
5. Creating indicators of compromise (IOCs) for detection.
6. Communicating threat intelligence to stakeholders.
7. Final project: Analyzing a complex malware sample and generating a comprehensive threat intelligence report.

Action Plan for Implementation

1. Implement a secure malware analysis environment.
2. Develop YARA rules for detecting known malware families.
3. Integrate static analysis into incident response workflows.
4. Share threat intelligence with industry partners.
5. Continuously update malware analysis skills through training and research.
6. Monitor emerging malware trends and techniques.
7. Automate malware analysis tasks where possible.