Stable37 Malware is Hard - Let's Go Shopping

Overview

Explore the challenges of malware analysis and learn innovative techniques for investigating and understanding complex malicious software.

Syllabus

• Introduction to Malware Analysis
Overview of Malware Types and Characteristics
The Importance of Malware Analysis in Cybersecurity
• Setting Up the Analysis Environment
Required Tools and Software for Malware Analysis
Virtual Machines and Sandboxing
• Basics of Reverse Engineering
Introduction to Assembly Language
Disassemblers and Decompilers
• Dynamic Malware Analysis
Behavioral Analysis Techniques
System Monitoring and Logging Tools
• Static Malware Analysis
Code Analysis without Execution
Identifying Signatures and Patterns
• Automation in Malware Analysis
Using Scripts and Tools for Automated Analysis
Introduction to Machine Learning for Malware Detection
• Case Study: Analysis of Stable37 Malware
Features and Characteristics of Stable37 Malware
Step-by-Step Analysis Workflow
• Advanced Malware Techniques and Obfuscation
Understanding Packing and Encryption Methods
Bypassing Anti-Analysis Techniques
• Network Analysis for Malware
Examining Network Traffic Associated with Malware
Tools for Network Traffic Analysis
• Incident Response and Reporting
Documenting Findings and Generating Reports
Collaboration with Incident Response Teams
• Emerging Trends in Malware and Future Challenges
Current and Future Threats in Malware Development
Innovations in Malware Analysis Tools and Techniques
• Course Wrap-Up and Additional Resources
Summary of Key Learnings
Further Reading and Resources for Continued Learning

Subjects

Conference Talks