Xianbo Wang (The Chinese University of Hong Kong), Shangcheng Shi (The Chinese University of Hong Kong), Yikang Chen (The Chinese University of Hong Kong), Wing Cheong Lau (The Chinese University of Hong Kong)

Nowadays, most mobile devices are equipped with various hardware interfaces such as touchscreen, fingerprint scanner, camera and microphone to capture inputs from the user.
Many mobile apps use these physical interfaces to receive user-input for authentication/authorization operations including one-click login, fingerprint-based payment approval, and face/voice unlocking.
In this paper, we investigate the so-called PHYjacking attack where a victim is misled by a zero-permission malicious app to feed physical inputs to different hardware interfaces on a mobile device to result in unintended authorization.
We analyze the protection mechanisms in Android for different types of physical input interfaces and introduce new techniques to bypass them.
Specifically, we identify weaknesses in the existing protection schemes for the related system APIs and observe common pitfalls when apps implement physical-input-based authorization.
Worse still, we discover a race-condition bug in Android that can be exploited even when app-based mitigations are properly implemented.
Based on these findings, we introduce fingerprint-jacking and facejacking techniques and demonstrate their impact on real apps.
We also discuss the feasibility of launching similar attacks against NFC and microphone inputs, as well as effective tapjacking attacks against Single Sign-On apps.
We have designed a static analyzer to examine 3000+ real-world apps and find 44% of them contain PHYjacking-related implementation flaws.
We demonstrate the practicality and potential impact of PHYjacking via proof-of-concept implementations which enable unauthorized money transfer on a payment app with over 800 million users, user-privacy leak from a social media app with over 400 million users and escalating app permissions in Android 11.

View More Papers

D-Box: DMA-enabled Compartmentalization for Embedded Applications

Alejandro Mera (Northeastern University), Yi Hui Chen (Northeastern University), Ruimin Sun (Northeastern University), Engin Kirda (Northeastern University), Long Lu (Northeastern University)

Read More

Building the VPNalyzer System

Reethika Ramesh (University of Michigan), Leonid Evdokimov (Independent), Diwen Xue, Roya Ensafi (University of Michigan)

Read More

Uncovering Cross-Context Inconsistent Access Control Enforcement in Android

Hao Zhou (The Hong Kong Polytechnic University), Haoyu Wang (Beijing University of Posts and Telecommunications), Xiapu Luo (The Hong Kong Polytechnic University), Ting Chen (University of Electronic Science and Technology of China), Yajin Zhou (Zhejiang University), Ting Wang (Pennsylvania State University)

Read More

FedCRI: Federated Mobile Cyber-Risk Intelligence

Hossein Fereidooni (Technical University of Darmstadt), Alexandra Dmitrienko (University of Wuerzburg), Phillip Rieger (Technical University of Darmstadt), Markus Miettinen (Technical University of Darmstadt), Ahmad-Reza Sadeghi (Technical University of Darmstadt), Felix Madlener (KOBIL)

Read More