García, Laura; Rodríguez, Ricardo J
A Peek Under the Hood of iOS Malware Proceedings Article
In: Proceedings of the 2016 11th International Conference on Availability, Reliability and Security (ARES), pp. 590–598, 2016.
Abstract | Links | BibTeX | Tags: attacks, classification, iOS, malware, threats
@inproceedings{GR-WMA-16,
title = {A Peek Under the Hood of iOS Malware},
author = {Laura García and Ricardo J Rodríguez},
url = {http://webdiis.unizar.es/~ricardo/files/papers/GR-WMA-16.pdf},
doi = {10.1109/ARES.2016.15},
year = {2016},
date = {2016-08-01},
booktitle = {Proceedings of the 2016 11th International Conference on Availability, Reliability and Security (ARES)},
pages = {590--598},
abstract = {Malicious software specially crafted to proliferate in mobile platforms are becoming a serious threat, as reported by numerous software security vendors during last years. Android and iOS are nowadays the leaders of mobile OS market share. While malware targeting Android are largely studied, few attention is paid to iOS malware. In this paper, we fill this gap by studying and characterizing malware targeting iOS devices. To this regard, we study the features of iOS malware and classify samples of 36 iOS malware families discovered between 2009 and 2015. We also show the methodology for iOS malware analysis and provide a detailed analysis of a malware sample. Our findings evidence that most of them are distributed out of official markets, target jailbroken iOS devices, and very few exploit any vulnerability.},
keywords = {attacks, classification, iOS, malware, threats},
pubstate = {published},
tppubtype = {inproceedings}
}
Malicious software specially crafted to proliferate in mobile platforms are becoming a serious threat, as reported by numerous software security vendors during last years. Android and iOS are nowadays the leaders of mobile OS market share. While malware targeting Android are largely studied, few attention is paid to iOS malware. In this paper, we fill this gap by studying and characterizing malware targeting iOS devices. To this regard, we study the features of iOS malware and classify samples of 36 iOS malware families discovered between 2009 and 2015. We also show the methodology for iOS malware analysis and provide a detailed analysis of a malware sample. Our findings evidence that most of them are distributed out of official markets, target jailbroken iOS devices, and very few exploit any vulnerability.