Malware analysis is the systematic examination of malicious software to understand its behavior, capabilities, infection mechanisms, and indicators of compromise for defense and incident response.
Malware analysis is the process of examining malicious software to understand its functionality, infection vectors, persistence mechanisms, communication methods, and payload capabilities. Analysis produces indicators of compromise (IOCs), detection signatures, and threat intelligence that support incident response, detection engineering, and organizational defense.
The three main types are static analysis (examining code without execution), dynamic analysis (observing behavior in a controlled sandbox environment), and code reverse engineering (deep examination of disassembled code). Each provides different insights, and comprehensive analysis typically combines all three approaches for complete understanding.
Static analysis examines malware without executing it, including file type identification, hash calculation for known malware matching, string extraction for URLs and indicators, PE header analysis, import table examination to identify capabilities, packer detection, and YARA rule matching. It provides quick initial triage before deeper analysis.
Dynamic analysis executes malware in a controlled sandbox environment while monitoring system behavior including file system changes, registry modifications, network connections, process creation, API calls, and data exfiltration attempts. Tools like Cuckoo Sandbox, Any.Run, and Joe Sandbox automate behavioral monitoring and report generation.
Essential tools include sandboxes (Cuckoo, Any.Run, Joe Sandbox) for dynamic analysis, Ghidra and IDA Pro for reverse engineering, PE analysis tools (PEStudio, PEiD), YARA for pattern matching, Wireshark for network analysis, Process Monitor for system activity, debuggers (x64dbg, OllyDbg), and VirusTotal for multi-engine scanning and intelligence.
During incidents, malware analysis determines how the malware entered, what it does, which systems are affected, what data was accessed or exfiltrated, and what persistence mechanisms need removal. IOCs extracted from analysis enable hunting for additional compromised systems and creating detection rules to prevent reinfection.
Behavioral analysis monitors malware actions during execution including file creation and modification, registry changes, network communication (C2 callbacks, data exfiltration), process injection, credential access, privilege escalation, and lateral movement attempts. Behavioral indicators are often more durable for detection than file-based signatures.
Malware analysts need proficiency in assembly language and reverse engineering, understanding of operating system internals (Windows, Linux), network protocol analysis skills, programming ability (Python, C), knowledge of common malware techniques and evasion methods, familiarity with analysis tools, and strong analytical and documentation skills.