Basic Malware Analysis
The module provides an extensive introduction to malware analysis, covering the classification of various malware types and their characteristics. It explores critical methodologies for analyzing malware, specifically static and dynamic analysis, alongside contemporary detection paradigms, including signature-based and behavioral detection approaches. Finally, the module prepares students with the conceptual framework necessary for understanding malware investigation processes and the strategies for neutralizing threats in a real-world cybersecurity context.
Sections
Navigate through the learning materials and practice exercises.
What we have learnt
- Malware classifications are based on their propagation methods, stealth capabilities, behavior, and impact.
- Both static and dynamic analysis are crucial for comprehensively understanding and investigating malware.
- Signature-based and behavioral detection methods represent two primary strategies for identifying malware, each with unique strengths and weaknesses.
Key Concepts
- -- Malware
- Software designed to disrupt computer operations or gain unauthorized access to sensitive information.
- -- Static Analysis
- The process of examining the code and internal structure of a malware sample without executing it.
- -- Dynamic Analysis
- Involves executing malware in a controlled environment to observe its real-time behavior.
- -- SignatureBased Detection
- Detection mechanisms that use known patterns and signatures of malware to identify threats.
- -- Behavioral Detection
- Detection that focuses on identifying suspicious behaviors exhibited by programs during execution.
Additional Learning Materials
Supplementary resources to enhance your learning experience.