Miuyin Yong Wong, Matthew Landen, Frank Li, Fabian Monrose, and Mustaque Ahamad, Georgia Institute of Technology
Malware analysis is the process of identifying whether certain software is malicious and determining its capabilities. Unfortunately, malware authors have developed increasingly sophisticated ways to evade such analysis. While a significant amount of research has been aimed at countering a spectrum of evasive techniques, recent work has shown that analyzing malware that employs evasive behaviors remains a daunting challenge. To determine whether gaps exist between evasion techniques addressed by research and challenges faced by practitioners, we conduct a systematic mapping of evasion countermeasures published in research and juxtapose it with a user study on the analysis of evasive malware with 24 expert malware analysts from 15 companies as participants. More specifically, we aim to understand (i) what malware evasion techniques are being addressed by research, (ii) what are the most challenging evasion techniques malware analysts face in practice, (iii) what are common methods analysts use to counter such techniques, and (iv) whether evasion countermeasures explored by research align with challenges faced by analysts in practice. Our study shows that there are challenging evasion techniques highlighted by study participants that warrant further study by researchers. Additionally, our findings highlight the need for investigations into the barriers hindering the transition of extensively researched countermeasures into practice. Lastly, our study enhances the understanding of the limitations of current automated systems from the perspective of expert malware analysts. These contributions suggest new research directions that could help address the challenges posed by evasive malware.
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author = {Miuyin Yong Wong and Matthew Landen and Frank Li and Fabian Monrose and Mustaque Ahamad},
title = {Comparing Malware Evasion Theory with Practice: Results from Interviews with Expert Analysts},
booktitle = {Twentieth Symposium on Usable Privacy and Security (SOUPS 2024)},
year = {2024},
isbn = {978-1-939133-42-7},
address = {Philadelphia, PA},
pages = {61--80},
url = {https://www.usenix.org/conference/soups2024/presentation/yong-wong},
publisher = {USENIX Association},
month = aug
}