A Model-Driven-Engineering Approach for Detecting Privilege Escalation in IoT Systems

TL;DR

This paper presents a model-driven engineering approach combined with static analysis to effectively detect privilege escalation vulnerabilities in IoT systems, specifically targeting Smart-Home platforms like SmartThings.

Contribution

It introduces a novel MDE-based method that enhances privilege escalation detection by analyzing permission models and free-form text, improving over static analysis alone.

Findings

High accuracy in detecting over-privilege vulnerabilities

Effective analysis of permission models and descriptive text

Enhanced coverage compared to traditional static analysis

Abstract

Software vulnerabilities in access control models can represent a serious threat in a system. In fact, OWASP lists broken access control as number 5 in severity among the top 10 vulnerabilities. In this paper, we study the permission model of an emerging Smart-Home platform, SmartThings, and explore an approach that detects privilege escalation in its permission model. Our approach is based on Model Driven Engineering (MDE) in addition to static analysis. This approach allows for better coverage of privilege escalation detection than static analysis alone, and takes advantage of analyzing free-form text that carries extra permissions details. Our experimental results demonstrate a very high accuracy for detecting over-privilege vulnerabilities in IoT applications