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https://doi.org/10.1109/acsac....
Article . 2006 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2023
Data sources: DBLP
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Vulnerability Analysis of MMS User Agents

Authors: Collin Mulliner; Giovanni Vigna;

Vulnerability Analysis of MMS User Agents

Abstract

The Multimedia Messaging Service (MMS) is becoming more popular, as mobile phones integrate audio and video recording functionality. Multimedia messages are delivered to users through a multi-step process, whose end-points are the MMS User Agents that reside on the users? mobile phones. The security of these components is critical, be- cause they might have access to private information and, if compromised, could be leveraged to spread an MMS-based worm. Unfortunately, the vulnerability analysis of these components is made more difficult by the fact that they are mostly closed-source and the testing has to be performed through the mobile phone network, which makes the testing time-consuming and costly. This paper presents a novel approach to the security testing of MMS User Agents. Our approach takes into account the effects of the infrastructure on the delivery of MMS messages and then uses a virtual infrastructure to speed up the testing process. Our testing approach was able to identify a number of previously unknown vulnerabilities, which, in one case, allowed for the execution of arbitrary code.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
15
Average
Top 10%
Top 10%