Alexander Cameron , Abu Alam , Nasreen Anjum , Javed Ali Khan , Alexios Mylonas
{"title":"STATOS: A portable tool for secure malware analysis and sample acquisition in low resource environments","authors":"Alexander Cameron , Abu Alam , Nasreen Anjum , Javed Ali Khan , Alexios Mylonas","doi":"10.1016/j.array.2025.100391","DOIUrl":null,"url":null,"abstract":"<div><div>Malware poses a significant security threat to organisations worldwide, particularly in environments with limited resources. Static analysis has emerged as a crucial technique for gaining insights into malware, but it often requires specialised hardware and software, which can be a barrier for organisations facing financial or supply constraints. To address these challenges, this study presents a Static-Analysis Operating System (StatOS), a portable Linux derivative operating system designed for static malware analysis. StatOS can be executed from a USB device, allowing organisations to perform efficient, user-friendly, and secure malware analysis even on underpowered hardware. This study contributes a practical solution to field analysis of malware within low-resource environments, providing a model and requirement data for future developments in portable cybersecurity tools. The tool was validated through a combination of expert feedback using the Delphi method and security assessments, including Monte-Carlo simulations and Common Vulnerabilities and Exposures (CVE) evaluations. Results indicate that StatOS meets and exceeds key performance requirements, with 100% of surveyed cyber specialists agreeing on its effectiveness, and 80% indicating they would use StatOS in forensic investigations.</div></div>","PeriodicalId":8417,"journal":{"name":"Array","volume":"26 ","pages":"Article 100391"},"PeriodicalIF":2.3000,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Array","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590005625000189","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Malware poses a significant security threat to organisations worldwide, particularly in environments with limited resources. Static analysis has emerged as a crucial technique for gaining insights into malware, but it often requires specialised hardware and software, which can be a barrier for organisations facing financial or supply constraints. To address these challenges, this study presents a Static-Analysis Operating System (StatOS), a portable Linux derivative operating system designed for static malware analysis. StatOS can be executed from a USB device, allowing organisations to perform efficient, user-friendly, and secure malware analysis even on underpowered hardware. This study contributes a practical solution to field analysis of malware within low-resource environments, providing a model and requirement data for future developments in portable cybersecurity tools. The tool was validated through a combination of expert feedback using the Delphi method and security assessments, including Monte-Carlo simulations and Common Vulnerabilities and Exposures (CVE) evaluations. Results indicate that StatOS meets and exceeds key performance requirements, with 100% of surveyed cyber specialists agreeing on its effectiveness, and 80% indicating they would use StatOS in forensic investigations.