Abstract
Dynamic binary analysis has demonstrated its strength in solving a wide-spectrum of computer security problems. However, existing DBA tools don’t support ARM-based OS. The latest version of Valgrind can support ARM executable, but it can’t perform the whole-system analysis. The other DBA/DBI frameworks, such as TEMU, PIN and DynamoRIO, do not support ARM architecture. This paper presents a dynamic analysis tool that can extract the whole- system view and analyze the behaviors in ARM-based OS in a whole-system out-of-the-box way. An exploitation analysis module is given to demonstrate how to develop an application module based on this DBA tools. The application example shows this DBA tool has the features of good feasibility and scalability.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Avraham, (Zuk) I.: Non-Executable Stack ARM Exploitation Research Paper. Blackhat (2011)
Ridley, S.A.: ARM exploitation and Hardware Hacking convergence memoirs. NoSuchCon 2013, Paris (2013)
Luk, C.-K., et al.: Pin: building customized program analysis tools with dynamic instrumentation. ACM Sigplan Notices 40(6) (2005)
Nethercote, N., Seward, J.: Valgrind: a framework for heavyweight dynamic binary instrumentation. ACM Sigplan Notices 42(6), 89–100 (2007)
Yin, H., Song, D.: Temu: Binary code analysis via whole-system layered annotative execution. Submitted to VEE 10 (2010)
DynamoRIO: Dynamic Instrumentation Tool Platform, http://dynamorio.org/
Bellard, F.: QEMU, A Fast and Portable Dynamic Translator. In: USENIX Annual Technical Conference, FREENIX Track (2005)
Garfinkel, T., Rosenblum, M.: A Virtual Machine Introspection Based Architecture for Intrusion Detection. In: NDSS (2003)
Liu, L., et al.: Exploitation and threat analysis of open mobile devices. In: Proceedings of the 5th ACM/IEEE Symposium on Architectures for Networking and Communications Systems. ACM (2009)
Aafer, Y., Du, W., Yin, H.: DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android. In: SecureComm 2013 (in press, September 2013)
Yan, L.K., Yin, H.: Droidscope: seamlessly reconstructing the os and dalvik semantic views for dynamic android malware analysis. In: Proceedings of the 21st USENIX Security Symposium (2012)
Felt, A.P., et al.: A survey of mobile malware in the wild. In: Proceedings of the 1st ACM Workshop on Security and Privacy in Smartphones and Mobile Devices, ACM (2011)
Newsome, J., Song, D.: Dynamic taint analysis for automatic detection, analysis, and signature generation of exploits on commodity software. In: Proceedings of the 12th Annual Network and Distributed System Security Symposium, NDSS 2005 (2005)
Chen, S., et al.: Defeating memory corruption attacks via pointer taintedness detection. In: Proceedings of the International Conference on Dependable Systems and Networks, DSN 2005. IEEE (2005)
Yin, H., Song, D., Manuel, E., Kruegel, C., Kirda, E.: Panorama: capturing system-wide information flow for malware detection and analysis. In: Proceedings of the 14th ACM Conference on Computer and Communications Security. ACM (2007)
Zhang, M., Prakash, A., Li, X., Liang, Z., Yin, H.: Identifying and analyzing pointer misuses for sophisticated memory-corruption exploit diagnosis. In: Proceedings of 19th Annual Network & Distributed System Security Symposium (2012)
Prakash, A., Yin, H., Liang, Z.: Enforcing system-wide control flow integrity for exploit detection and diagnosis. In: Proceedings of the 8th ACM SIGSAC Symposium on Information, Computer and Communications Security. ACM (2013)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer International Publishing Switzerland
About this paper
Cite this paper
Wang, Z., Ye, Y., Wang, R. (2013). An Out-of-the-Box Dynamic Binary Analysis Tool for ARM-Based Linux. In: Wang, G., Ray, I., Feng, D., Rajarajan, M. (eds) Cyberspace Safety and Security. CSS 2013. Lecture Notes in Computer Science, vol 8300. Springer, Cham. https://doi.org/10.1007/978-3-319-03584-0_34
Download citation
DOI: https://doi.org/10.1007/978-3-319-03584-0_34
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03583-3
Online ISBN: 978-3-319-03584-0
eBook Packages: Computer ScienceComputer Science (R0)