Malware analysis combines behavioral examination with static and dynamic code analysis to understand malicious software. Key steps include using automated sandboxes for triage, monitoring system and network interactions, examining code with Ghidra and x64dbg…

Analyzing malicious documents involves examining files for anomalies, locating embedded code like macros or JavaScript, extracting and deobfuscating suspicious content, and emulating shellcode. Key tools include olevba for Office macros, pdfid for risky PDF…

AutoIt is yet-another-development-language that malware authors leverage to create and obfuscate their malware. As a matter of fact, AutoIt is so closely associated with malware, that AutoIT’…