1 / 23

Dissecting Android Malware : Characterization and Evolution

Dissecting Android Malware : Characterization and Evolution. Author : Yajin Zhou, Xuxuan Jiang TJ. Index of this paper. Malware Evolution DroidKungFu Root Exploits C&C Servers Shadow Payloads Obfuscation, JNI, and Others AnserverBot Anti-Analysis Security Software Detection

samuru
Download Presentation

Dissecting Android Malware : Characterization and Evolution

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Dissecting Android Malware : Characterization and Evolution Author : Yajin Zhou, Xuxuan Jiang TJ

  2. Index of this paper Malware Evolution DroidKungFu Root Exploits C&C Servers Shadow Payloads Obfuscation, JNI, and Others AnserverBot Anti-Analysis Security Software Detection C&C Servers Malware Detection Discussion Related Work Conclusion • Introduction • Malware Timeline • Malware Characterization • Malware Installation • Repackaging • Update Attack • Drive-by Download • Others • Activation • Malicious Payloads • Privilege Escalation • Remote Control • Financial Charge • Information Collection • Permission Uses

  3. I. Introduction • Smartphone • Shipment : X 3 ↑ (40milion120mil.) in 2009~2011 ► mobile malware↑ • Android-based malware • Share : 46%↑ and growing rapidly • 400% ↑ since summer 2010 • Goals • Malware samples(1260) & families(49) • Timeline analysis • Good example of malware

  4. II. Malware Timeline • Dataset • 49 families • Official/Alternative Android Market • 2010-08 ~ 2011-10

  5. III. A. Malware Installation • Repackaging • Most common technique • Concept • Download popular apps  Disassemble  Enclose malicious payloads Re-assemble  Submit

  6. III. A. 1) Repackaging • Where these original apps comes from? • What things are done by the authors?

  7. III. A. 2) Update Attack • Concept • Update component it download malicious payload

  8. III. A. 2) Update Attack

  9. III. A. 2) Update Attack

  10. III. A. 3) Drive-by Download • Enticing users to download “interesting” or “feature-rich” apps. • For example, • GGTracker : in-app advertisement link • Jifake : QR code • Spitmo and Zitmo : ported version of nefarious PC malware(SpyEye, Zeus)

  11. III. B. Activation • Using System Event message • For example, • BOOT_COMPLETED • SMS_RECEIVED • ACTION_MAIN

  12. III. C. Malicious Payloads • Privilege Escalation

  13. III. C. Malicious Payloads • Remote Control • 1,172 samples(93%) • Turn infected phones into bots • 1,171 samples • HTTP-based communicate with C&C servers • C&C servers • Amazon cloud • Public blog

  14. III. C. Malicious Payloads • Financial Charge • Premium-rate services • Information Collection • SMS messages • Phone numbers • User accounts

  15. III. D. Permission Uses

  16. IV. Malware Evolution • DroidKungFu • Root Exploits • C&C Servers • Shadow Payloads • Obfuscation

  17. IV. B. AnserverBot • Anti-Analysis • Security Software Detection • C&C Servers

  18. V. Malware Detection • Tested on Nexus One(Android 2.3.7) • Lookout • TrendMicro • AVG Antivirus • Norton

  19. VI. Discussion • Ecosystem Android Market • ASLR, TrustZone and eXecute-Never are needed • Lack of fine-grain API control • Blocking malware to enter market is needed • Cooperation between security vendors

  20. VIII. Conclusion • Repackaging (86%) • Platform-level Escalate Privilege Exploits (36.7%) • Bot-like capability (93%)

  21. Q & A

More Related