Ventinel: Automated Detection of Android Vishing Apps Using Optical Character Recognition

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초록

Vishing, a blend of "voice" and "phishing", has evolved to include techniques like Call Redirection and Display Overlay Attacks, causing significant financial losses. Existing research has largely focused on user behavior and awareness, leaving gaps in addressing attacks originating from vishing applications. In this work, we present Ventinel, an Android-based defense system designed to detect these attacks without requiring OS modifications. Ventinel employs Optical Character Recognition (OCR) to compare phone numbers during calls, effectively preventing Call Redirection and Display Overlay Attacks. Additionally, it safeguards against Duplicated Contacts Attacks by cross-referencing call logs and SMS records. Ventinel achieves 100% detection accuracy, surpassing commercial applications, and operates with minimal data collection to ensure user privacy. We also describe malicious API behavior and demonstrate that the same behavior is possible for API levels 29 and higher. Furthermore, we analyze the limitations of existing solutions and propose new attack and defense strategies.

키워드

Androidmobile securityvoice phishingvishing
제목
Ventinel: Automated Detection of Android Vishing Apps Using Optical Character Recognition
저자
Kim, DaegyeomSehwan, O.Ban, YounghoonPark, JungsooJoo, KyunghoCho, Haehyun
DOI
10.3390/fi17010024
발행일
2025-01
유형
Article
저널명
Future Internet
17
1