Title | Flubot Malware Hybrid Analysis on Android Operating System |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | Salsabila, Hanifah, Mardhiyah, Syafira, Budiarto Hadiprakoso, Raden |
Conference Name | 2022 International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS) |
Date Published | nov |
Keywords | Android malware, computer viruses, flubot malware, Human Behavior, Hybrid Analysis, malware analysis, Metrics, Operating systems, phishing, privacy, pubcrawl, resilience, Resiliency, Servers, source coding, static analysis, telecommunication traffic |
Abstract | The rising use of smartphones each year is matched by the development of the smartphone's operating system, Android. Due to the immense popularity of the Android operating system, many unauthorized users (in this case, the attackers) wish to exploit this vulnerability to get sensitive data from every Android user. The flubot malware assault, which happened in 2021 and targeted Android devices practically globally, is one of the attacks on Android smartphones. It was known at the time that the flubot virus stole information, particularly from banking applications installed on the victim's device. To prevent this from happening again, we research the signature and behavior of flubot malware. In this study, a hybrid analysis will be conducted on three samples of flubot malware that are available on the open-source Hatching Triage platform. Using the Android Virtual Device (AVD) as the primary environment for malware installation, the analysis was conducted with the Android Debug Bridge (ADB) and Burpsuite as supporting tools for dynamic analysis. During the static analysis, the Mobile Security Framework (MobSF) and the Bytecode Viewer were used to examine the source code of the three malware samples. Analysis of the flubot virus revealed that it extracts or drops dex files on the victim's device, where the file is the primary malware. The Flubot virus will clone the messaging application or Short Message Service (SMS) on the default device. Additionally, we discovered a form of flubot malware that operates as a Domain Generation Algorithm (DGA) and communicates with its Command and Control (C&C) server. |
DOI | 10.1109/ICIMCIS56303.2022.10017486 |
Citation Key | salsabila_flubot_2022 |