Training Course on Scripting for Malware Analysis

Course Title: Training Course on Scripting for Malware Analysis

Executive Summary

This intensive two-week course provides a comprehensive introduction to scripting for malware analysis. Participants will learn to leverage Python to automate malware analysis tasks, extract indicators of compromise (IOCs), reverse engineer malicious code, and develop custom tools for dynamic and static analysis. The course covers essential scripting concepts, malware analysis techniques, and real-world case studies. Through hands-on exercises, participants will gain practical experience in analyzing various types of malware, including ransomware, Trojans, and botnets. The program culminates in a final project where participants apply their scripting skills to analyze a complex malware sample and generate a detailed report. This course equips security professionals with the skills necessary to efficiently analyze malware and enhance their organization’s threat intelligence capabilities.

Introduction

Malware analysis is a critical skill for cybersecurity professionals in today’s threat landscape. As malware becomes increasingly sophisticated, manual analysis techniques are often insufficient to keep pace. Scripting provides a powerful means of automating repetitive tasks, extracting valuable information, and developing custom tools for in-depth analysis. This course is designed to provide participants with a solid foundation in scripting, specifically Python, and its application to malware analysis. It covers essential programming concepts, core malware analysis techniques, and practical exercises that simulate real-world scenarios. Participants will learn how to use Python libraries to dissect malware samples, extract IOCs, reverse engineer code, and automate the analysis process. The course emphasizes a hands-on approach, with numerous opportunities to apply scripting skills to analyze various types of malware. By the end of the program, participants will be able to confidently leverage scripting to enhance their malware analysis capabilities and contribute to their organization’s cybersecurity defenses.

Course Outcomes

• Understand fundamental scripting concepts using Python.
• Apply scripting techniques to automate malware analysis tasks.
• Extract indicators of compromise (IOCs) from malware samples.
• Develop custom tools for static and dynamic malware analysis.
• Reverse engineer malicious code using scripting.
• Analyze various types of malware, including ransomware, Trojans, and botnets.
• Generate detailed reports based on malware analysis findings.

Training Methodologies

• Interactive lectures and demonstrations.
• Hands-on coding exercises and lab sessions.
• Real-world malware sample analysis.
• Group projects and collaborative problem-solving.
• Case study analysis of malware incidents.
• Guest lectures from malware analysis experts.
• Practical application of scripting tools and techniques.

Benefits to Participants

• Enhanced malware analysis skills and knowledge.
• Ability to automate repetitive analysis tasks.
• Improved efficiency in identifying and responding to malware threats.
• Increased proficiency in Python scripting for security applications.
• Development of custom tools for malware analysis.
• Improved understanding of malware behavior and techniques.
• Career advancement opportunities in cybersecurity.

Benefits to Sending Organization

• Enhanced threat intelligence capabilities.
• Reduced incident response time.
• Improved detection and prevention of malware infections.
• Increased efficiency in malware analysis operations.
• Development of in-house malware analysis expertise.
• Stronger cybersecurity defenses.
• Improved compliance with industry regulations.

Target Participants

• Security Analysts
• Incident Responders
• Reverse Engineers
• Malware Researchers
• Security Engineers
• Penetration Testers
• Cybersecurity Professionals

WEEK 1: Scripting Fundamentals and Static Analysis

Module 1: Introduction to Python for Malware Analysis

1. Python syntax and data structures.
2. Working with strings, lists, and dictionaries.
3. File I/O operations.
4. Regular expressions for pattern matching.
5. Introduction to Python libraries for malware analysis.
6. Setting up a development environment.
7. Basic scripting examples for malware analysis.

Module 2: Static Analysis Techniques with Scripting

1. File format analysis (PE, ELF).
2. Hashing algorithms and file integrity checks.
3. Extracting strings and embedded resources.
4. Identifying imported and exported functions.
5. Analyzing metadata and headers.
6. Using scripting to automate static analysis tasks.
7. Case study: Analyzing a packed executable.

Module 3: Disassembling and Decompiling with Scripting

1. Introduction to assembly language.
2. Using disassemblers (e.g., IDA Pro, Ghidra).
3. Automating disassembly with scripting.
4. Introduction to decompilers.
5. Analyzing disassembled code with scripting.
6. Identifying malicious code patterns.
7. Practical exercise: Analyzing disassembled malware code.

Module 4: Extracting Indicators of Compromise (IOCs) with Scripting

1. Identifying IOCs from malware samples.
2. Extracting URLs, IP addresses, and domain names.
3. Extracting registry keys and file paths.
4. Using regular expressions to extract IOCs.
5. Automating IOC extraction with scripting.
6. Generating IOC reports.
7. Case study: Extracting IOCs from a ransomware sample.

Module 5: Introduction to YARA Rules

1. YARA syntax and structure.
2. Writing YARA rules to detect malware families.
3. Using YARA to scan files and processes.
4. Integrating YARA with scripting.
5. Creating custom YARA rules for specific malware threats.
6. Testing and refining YARA rules.
7. Practical exercise: Writing YARA rules for malware detection.

WEEK 2: Dynamic Analysis and Advanced Scripting

Module 6: Dynamic Analysis Techniques with Scripting

1. Setting up a dynamic analysis environment (e.g., Cuckoo Sandbox).
2. Monitoring file system and registry changes.
3. Analyzing network traffic.
4. Detecting process injection and code execution.
5. Using scripting to automate dynamic analysis tasks.
6. Analyzing API calls and system calls.
7. Case study: Analyzing a Trojan sample in a sandbox environment.

Module 7: Network Analysis with Scripting

1. Analyzing network protocols (HTTP, DNS, SMTP).
2. Extracting network indicators from PCAP files.
3. Using scripting to automate network analysis tasks.
4. Identifying command and control (C&C) servers.
5. Detecting malicious network activity.
6. Analyzing encrypted network traffic.
7. Practical exercise: Analyzing network traffic from a botnet infection.

Module 8: Debugging Malware with Scripting

1. Introduction to debugging tools (e.g., OllyDbg, x64dbg).
2. Setting breakpoints and stepping through code.
3. Analyzing memory dumps.
4. Using scripting to automate debugging tasks.
5. Identifying anti-debugging techniques.
6. Debugging packed and obfuscated malware.
7. Practical exercise: Debugging a malware sample to understand its behavior.

Module 9: Advanced Scripting Techniques for Malware Analysis

1. Working with custom data structures.
2. Implementing advanced algorithms for malware analysis.
3. Using machine learning techniques for malware classification.
4. Developing custom tools for specific malware threats.
5. Integrating scripting with other security tools.
6. Automating the entire malware analysis workflow.
7. Case study: Developing a custom tool to decrypt ransomware.

Module 10: Capstone Project: Analyzing a Complex Malware Sample

1. Selecting a complex malware sample.
2. Performing static and dynamic analysis.
3. Extracting IOCs and generating a report.
4. Developing custom scripts to automate the analysis process.
5. Presenting findings to the class.
6. Peer review and feedback.
7. Final project submission.

Action Plan for Implementation

1. Identify key malware threats targeting the organization.
2. Develop custom scripts and tools to automate malware analysis tasks.
3. Integrate scripting with existing security tools and workflows.
4. Establish a malware analysis lab environment.
5. Train other security professionals on scripting for malware analysis.
6. Regularly update scripts and tools to address emerging threats.
7. Share findings and tools with the security community.