Malware Analysis Cheat Sheet

Updated 2026-04-30

Next Topic: Malware Analysis Cheat Sheet

Malware analysis is the art and science of dissecting malicious software to understand its behavior, capabilities, and intent within the field of cybersecurity and digital forensics. It serves as a critical defensive practice, enabling security teams to respond to threats, build detection signatures, and prevent future attacks by revealing how adversaries operate. The key to effective malware analysis is understanding that static analysis reveals what the code contains, dynamic analysis shows what it actually does, and hybrid approaches combine both for comprehensive insight—this mental model helps analysts choose the right technique for each situation and ensures no critical behavioral indicators are missed.

What This Cheat Sheet Covers

This topic spans 19 focused tables and 166 indexed concepts. Below is a complete table-by-table outline of this topic, spanning foundational concepts through advanced details.

Table 1: Core Analysis MethodologiesTable 2: Malware Types and FamiliesTable 3: Static Analysis TechniquesTable 4: Dynamic Analysis TechniquesTable 5 Reverse Engineering ToolsTable 6: Anti-Analysis and Evasion TechniquesTable 7: Code Injection and Process ManipulationTable 8: Memory Analysis TechniquesTable 9: Malware Persistence MechanismsTable 10: YARA Rules and Signature CreationTable 11: PE File Format InternalsTable 12: Network Analysis for MalwareTable 13: Malware Analysis Sandbox SystemsTable 14: Memory Forensics Tools and CommandsTable 15: Static Analysis Tools and UtilitiesTable 16: Advanced Malware TechniquesTable 17: Cryptographic Analysis in MalwareTable 18: Malware Classification and AttributionTable 19: Malware Analysis Best Practices

Table 1: Core Analysis Methodologies

Every malware investigation pivots on choosing the right approach for the sample in front of you. These are the six fundamental methodologies—from reading a binary without running it, to detonating it in a sandbox, to carving secrets out of RAM—and knowing what each one reveals (and where it goes blind) is what separates a quick triage from a wasted afternoon.

Method	Example	Description
Static Analysis	`strings malware.exe` `dumpbin /headers sample.dll`	• Examines malware without executing it by analyzing file structure, embedded strings, imports, and binary code • fast and safe but limited by obfuscation and packing
Dynamic Analysis	Execute in sandbox + monitor with `Procmon` Capture network with `Wireshark`	• Observes malware behavior in a controlled environment by executing it and monitoring file operations, registry changes, network traffic, and process activity • reveals true capabilities but can miss time-delayed or environment-aware behaviors
Hybrid Analysis	Static triage → dynamic execution → reassess with new findings	• Combines static and dynamic techniques iteratively to handle complex samples that evade single-method analysis • starts with static identification, executes dynamically, then refines understanding with additional static examination

Table 1: Core Analysis Methodologies

Method	Example	Description
Static Analysis	`strings malware.exe` `dumpbin /headers sample.dll`	• Examines malware without executing it by analyzing file structure, embedded strings, imports, and binary code • fast and safe but limited by obfuscation and packing
Dynamic Analysis	Execute in sandbox + monitor with `Procmon` Capture network with `Wireshark`	• Observes malware behavior in a controlled environment by executing it and monitoring file operations, registry changes, network traffic, and process activity • reveals true capabilities but can miss time-delayed or environment-aware behaviors
Hybrid Analysis	Static triage → dynamic execution → reassess with new findings	• Combines static and dynamic techniques iteratively to handle complex samples that evade single-method analysis • starts with static identification, executes dynamically, then refines understanding with additional static examination