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Contribution Details
| Type | Bachelor's Thesis |
| Scope | Discipline-based scholarship |
| Title | Design and Implementation of a Reproducible and Realistic Data Collection System for Dynamic Malware Analysis |
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| Institution | University of Zurich |
| Faculty | Faculty of Business, Economics and Informatics |
| Date | 2023 |
| Abstract Text | This thesis addresses the need for improved tools in dynamic malware analysis by enhancing the existing SecBox platform; a lightweight, container-based malware analysis sandbox. The enhancements aim at ensuring accurate, consistent, and reproducible analysis of diverse malware types. The thesis delves into the principles of dynamic malware analysis and what constitutes reproducibility, enabling an in-depth understanding of the problem space. The enhanced SecBox platform includes a command recorder to meticulously record and replicate commands and a CSV generator to monitor system metrics like CPU and RAM usage. Through evaluations with four types of malware, one of which was a custom script, the revamped SecBox platform demonstrated high consistency across sandbox instances, underscoring its usefulness in reproducible dynamic malware analysis. |
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