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.

View More Papers

Tales of Favicons and Caches: Persistent Tracking in Modern...

Konstantinos Solomos (University of Illinois at Chicago), John Kristoff (University of Illinois at Chicago), Chris Kanich (University of Illinois at Chicago), Jason Polakis (University of Illinois at Chicago)

Read More

(Short) Object Removal Attacks on LiDAR-based 3D Object Detectors

Zhongyuan Hau, Kenneth Co, Soteris Demetriou, and Emil Lupu (Imperial College London) Best Short Paper Award Runner-up!

Read More

Trust the Crowd: Wireless Witnessing to Detect Attacks on...

Kai Jansen (Ruhr University Bochum), Liang Niu (New York University), Nian Xue (New York University), Ivan Martinovic (University of Oxford), Christina Pöpper (New York University Abu Dhabi)

Read More

ALchemist: Fusing Application and Audit Logs for Precise Attack...

Le Yu (Purdue University), Shiqing Ma (Rutgers University), Zhuo Zhang (Purdue University), Guanhong Tao (Purdue University), Xiangyu Zhang (Purdue University), Dongyan Xu (Purdue University), Vincent E. Urias (Sandia National Laboratories), Han Wei Lin (Sandia National Laboratories), Gabriela Ciocarlie (SRI International), Vinod Yegneswaran (SRI International), Ashish Gehani (SRI International)

Read More