Malware analysis
Ανάλυση κακόβουλου λογισμικού

Master Thesis
Author
Triantafyllou, Georgios Panagiotis
Τριανταφύλλου, Γιώργος Παναγιώτης
Date
2024-05-28View/ Open
Keywords
Static ; Dynamic ; Malware analysis ; Open-source tools ; Automated procedureAbstract
In this thesis, we delve into the intricate world of malware analysis, shedding light on both static and dynamic approaches, along with the development of an automation tool. Static analysis unveils the inner workings of malware structures without triggering execution, employing REMnux tools to gain crucial insights. On the flip side, dynamic analysis offers a real-time peek into the actions of malware during execution. Through engaging case studies, we navigate through dissecting Trojan spyware like EMOTET and uncovering the secrets of data-stealing spyware such as FormBook. The thesis introduces an automation tool tailored for REMnux Linux, streamlining static analysis with command-line tools and the VirusTotal API. In emphasizing the synergy between human expertise and technological advancements, this research contributes to the ongoing battle against the ever-evolving landscape of cyber threats.