Android Malware by Jiang Xuxian, Zhou Yajin

By Jiang Xuxian, Zhou Yajin

Cellular units, comparable to clever telephones, have completed computing and networking services akin to conventional own desktops. Their profitable consumerization has additionally turn into a resource of ache for adopting clients and companies. particularly, the common presence of information-stealing functions and different kinds of cellular malware increases monstrous defense and privateness issues.

Android Malware provides a scientific view on state of the art cellular malware that goals the preferred Android cellular platform. overlaying key themes just like the Android malware heritage, malware habit and class, in addition to, attainable security options.

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Wang, D. Dagon, Botnet Detection (Springer, New York, 2008). 64. M. Masud, L. Khan, B. Thuraisingham, Data Mining Tools for Malware Detection (CRC Press, London, 2011). 65. E. Metula, Managed Code Rootkits: Hooking into Runtime Environments (Syngress, Burlington, 2010). 66. M. Nauman, S. Khan, X. Zhang, Apex: extending android permission model and enforcement with user-defined runtime constraints. in Proceedings of the 5th ACM Symposium on Information, Computer and Communications, Security, 2010.

During our investigation, we have identified more than 20 different versions of payloads posted in this blog. Six of them were posted within one single week, which clearly shows its rapid evolution in the wild. In Fig. 4, we show the captured network traffic when AnserverBot downloads a newer version, which was stored in the same public blog website as shown in Fig. 5. Our investigation also shows that the AnserverBot payload is actually a recent variant of BaseBridge, which was first discovered in May 2011.

3 Malware III: AnserverBot (a) 27 (b) Fig. 3 An update attack from DroidKungFuUpdate. a The update dialog. b The HTTP traffic (for malware downloading) malware by aggressively exploiting several advanced techniques to evade detection and analysis, which have not been seen before. After more than one-week in-depth investigation [4], we believe this malware evolves from earlier BaseBridge malware [11]. In the following, we will highlight key techniques employed by AnserverBot. 1 Anti-Analysis Though AnserverBot itself repackages legitimate apps for infection, it is designed to detect whether it has been tampered with or not.

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