Quarterly Journal of Information and Communication Technology ​
Keywords = Redirect
Number of Articles: 1
Detect Redirect to the Malicious Web-Sites in ANDROID Devices

Detect Redirect to the Malicious Web-Sites in ANDROID Devices

Volume 6, Issue 4, Spring 2026, Pages 12-24

https://doi.org/10.22034/apj.2026.2079995.1061

Seyed Mahmood Hashemi

Abstract Background and Objectives: Website clicks that redirect Android phone users to malicious ‎websites with fake virus warnings or phishing attacks are increasing exponentially. Although a ‎Uniform Resource Locator (URL) blacklist is considered as a suitable countermeasure for such ‎attacks, it is difficult to efficiently identify malicious websites. To the best of our knowledge, no ‎research has focused on detecting attacks that redirect Android phone users to malicious ‎websites. Therefore, we propose a redirection detection method that focuses on the URL bar ‎change interval of the Android-based Google Chrome browser.‎
Methods: The proposed method, which can be easily installed as an Android application, uses ‎the Android Accessibility Service to detect unwanted redirects to malicious websites without ‎collecting information about these websites in advance. This paper describes the details of the ‎design, implementation, and evaluation results of the proposed application on a real Android ‎device. We set threshold values for the number of times the URL bar changes and the elapsed ‎time to detect redirects to malicious websites for the proposed method.‎
Finding: Based on the results, we investigated the causes of false positive detections of ‎redirects to safe websites and proposed solutions to manage them. We also present threshold ‎values that can minimize the false positive and negative rates, as well as the detection accuracy ‎of the proposed method based on these threshold values. In addition, we present evaluation ‎results based on access reports of real users participating in the WarpDrive project experiment, ‎which show that the proposed method minimizes false positives and successfully detects most ‎redirects to malicious websites.‎