Zeyu Lei (Purdue University), Yuhong Nan (Purdue University), Yanick Fratantonio (Eurecom & Cisco Talos), Antonio Bianchi (Purdue University)

SMS messages containing One-Time Passwords (OTPs) are a widely used mechanism for performing authentication in mobile applications. In fact, many popular apps use OTPs received via SMS as the only authentication factor, entirely replacing password-based authentication schemes. Although SMS OTP authentication mechanisms provide significant convenience to end-users, they also have significant security implications. In this paper, we study these mobile apps' authentication schemes based on SMS OTPs, and, in particular, we perform a systematic study on the threats posed by ``local attacks,'' a scenario in which an attacker has control over an unprivileged third-party app on the victim's device.

This study was carried out using a combination of reverse engineering, formal verification, user studies, and large-scale automated analysis. Our work not only revealed vulnerabilities in third-party apps, but it also uncovered several new design and implementation flaws in core APIs implemented by the mobile operating systems themselves. For instance, we found two official Android APIs to be vulnerable by design, i.e., APIs that inevitably lead to the implementation of insecure authentication schemes, even when used according to their documentation. Moreover, we found that other APIs are prone to be used unsafely by apps' developers.

Our large-scale study found 36 apps, sharing hundreds of millions of installations, that misuse these APIs, allowing a malicious local attacker to completely hijack their accounts. Such vulnerable apps include Telegram and KakaoTalk, some of the most popular messaging apps worldwide. Finally, we proposed a new and safer mechanism to perform SMS-based authentication, and we prove its safety using formal verification.

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Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers

Madura A. Shelton (University of Adelaide), Niels Samwel (Radboud University), Lejla Batina (Radboud University), Francesco Regazzoni (University of Amsterdam and ALaRI – USI), Markus Wagner (University of Adelaide), Yuval Yarom (University of Adelaide and Data61)

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MINOS: A Lightweight Real-Time Cryptojacking Detection System

Faraz Naseem (Florida International University), Ahmet Aris (Florida International University), Leonardo Babun (Florida International University), Ege Tekiner (Florida International University), A. Selcuk Uluagac (Florida International University)

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OblivSketch: Oblivious Network Measurement as a Cloud Service

Shangqi Lai (Monash University), Xingliang Yuan (Monash University), Joseph K. Liu (Monash University), Xun Yi (RMIT University), Qi Li (Tsinghua University), Dongxi Liu (Data61, CSIRO), Surya Nepal (Data61, CSIRO)

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Taking a Closer Look at the Alexa Skill Ecosystem

Christopher Lentzsch (Ruhr-Universität Bochum), Anupam Das (North Carolina State University)

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