Zhibo Zhang (Fudan University), Lei Zhang (Fudan University), Zhangyue Zhang (Fudan University), Geng Hong (Fudan University), Yuan Zhang (Fudan University), Min Yang (Fudan University)

underline{D}edicated underline{U}RL underline{s}hortening underline{s}ervices (DUSSs) are designed to transform textit{trusted} long URLs into the shortened links.
Since DUSSs are widely used in famous corporations to better serve their large number of users (especially mobile users), cyber criminals attempt to exploit DUSS to transform their malicious links and abuse the inherited implicit trust, which is defined as textit{Misdirection Attack} in this paper.
However, little effort has been made to systematically understand such attacks. To fulfill the research gap, we present the first systematic study of the textit{Misdirection Attack} in abusing DUSS to demystify its attack surface, exploitable scope, and security impacts in the real world.

Our study reveals that real-world DUSSs commonly rely on custom URL checks, yet they exhibit unreliable security assumptions regarding web domains and lack adherence to security standards.
We design and implement a novel tool, Ditto, for empirically studying vulnerable DUSSs from a mobile perspective.
Our large-scale study reveals that a quarter of the DUSSs are susceptible to textit{Misdirection Attack}.
More importantly, we find that DUSSs hold implicit trust from both their users and domain-based checkers, extending the consequences of the attack to stealthy phishing and code injection on users' mobile phones.
We have responsibly reported all of our findings to corporations of the affected DUSS and helped them fix their vulnerabilities.

View More Papers

Revisiting Concept Drift in Windows Malware Detection: Adaptation to...

Adrian Shuai Li (Purdue University), Arun Iyengar (Intelligent Data Management and Analytics, LLC), Ashish Kundu (Cisco Research), Elisa Bertino (Purdue University)

Read More

Blackbox Fuzzing of Distributed Systems with Multi-Dimensional Inputs and...

Yonghao Zou (Beihang University and Peking University), Jia-Ju Bai (Beihang University), Zu-Ming Jiang (ETH Zurich), Ming Zhao (Arizona State University), Diyu Zhou (Peking University)

Read More

RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell Command...

Jiangyi Deng (Zhejiang University), Xinfeng Li (Zhejiang University), Yanjiao Chen (Zhejiang University), Yijie Bai (Zhejiang University), Haiqin Weng (Ant Group), Yan Liu (Ant Group), Tao Wei (Ant Group), Wenyuan Xu (Zhejiang University)

Read More