Mayall: A Framework for Desktop JavaScript Auditing and Post-Exploitation Analysis

Journal Title: Informatics - Year 2018, Vol 5, Issue 4

Abstract

Writing desktop applications in JavaScript offers developers the opportunity to create cross-platform applications with cutting-edge capabilities. However, in doing so, they are potentially submitting their code to a number of unsanctioned modifications from malicious actors. Electron is one such JavaScript application framework which facilitates this multi-platform out-the-box paradigm and is based upon the Node.js JavaScript runtime—an increasingly popular server-side technology. By bringing this technology to the client-side environment, previously unrealized risks are exposed to users due to the powerful system programming interface that Node.js exposes. In a concerted effort to highlight previously unexposed risks in these rapidly expanding frameworks, this paper presents the Mayall Framework, an extensible toolkit aimed at JavaScript security auditing and post-exploitation analysis. This paper also exposes fifteen highly popular Electron applications and demonstrates that two-thirds of applications were found to be using known vulnerable elements with high CVSS (Common Vulnerability Scoring System) scores. Moreover, this paper discloses a wide-reaching and overlooked vulnerability within the Electron Framework which is a direct byproduct of shipping the runtime unaltered with each application, allowing malicious actors to modify source code and inject covert malware inside verified and signed applications without restriction. Finally, a number of injection vectors are explored and appropriate remediations are proposed.

Authors and Affiliations

Adam Rapley, Xavier Bellekens, Lynsay A. Shepherd and Colin McLean

Keywords

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  • EP ID EP44154
  • DOI https://www.mdpi.com/2227-9709/5/4/46/pdf
  • Views 249
  • Downloads 0

How To Cite

Adam Rapley, Xavier Bellekens, Lynsay A. Shepherd and Colin McLean (2018). Mayall: A Framework for Desktop JavaScript Auditing and Post-Exploitation Analysis. Informatics, 5(4), -. https://europub.co.uk/articles/-A-44154