Cuckoo Sandbox VS Virus Total: Categorical Analysis between Sandboxes

Categorical Analysis Between Sandboxes

Authors

  • Karthic Anna Ravi Maran FSKTM, UTHM
  • Nurul Azma Abdullah FSKTM, UTHM

Keywords:

Sandbox, Malware, Accuracy, Time, System Utilization

Abstract

This comparative study aims to assess the effectiveness of Cuckoo Sandbox and Virus Total in accurately identifying and categorizing malware samples as either threats or benign files, while optimizing overall performance. The research entails collecting malware samples, establishing the experimental environment, subjecting the files to analysis within the respective sandboxes, and evaluating the results based on specific measurements. These measurements include file scanning time, sandbox system utilization, and file identification accuracy. The findings provide compelling evidence supporting the superior performance of Virus Total, which achieved a perfect accuracy score of 1.0 while maintaining high efficiency. In contrast, limitations arising from the lack of up-to-date support in Cuckoo Sandbox hindered its performance. This research contributes to advancing the field of sandbox solutions by deepening our understanding of sandbox performance and offering insights for the development of more effective malware analysis tools.

Author Biography

  • Nurul Azma Abdullah, FSKTM, UTHM

    DS52 PENSYARAH KANAN
    Jabatan Keselamatan Maklumat dan Teknologi Web
    Fakulti Sains Komputer dan Teknologi Maklumat

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Published

30-11-2023

Issue

Section

Articles

How to Cite

Karthic Anna Ravi Maran, & Nurul Azma Abdullah. (2023). Cuckoo Sandbox VS Virus Total: Categorical Analysis between Sandboxes: Categorical Analysis Between Sandboxes. Applied Information Technology And Computer Science, 4(2), 30-45. https://publisher.uthm.edu.my/periodicals/index.php/aitcs/article/view/11931