CRMar 31, 2020

When the Guard failed the Droid: A case study of Android malware

arXiv:2003.14123v13 citationsHas Code
Originality Incremental advance
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This work highlights critical security vulnerabilities in widely used Android malware detection systems, impacting billions of users by exposing flaws in open-source libraries.

The paper demonstrates that Android malware detection systems using the Androguard library are vulnerable to evasion attacks, with some systems' detection rates dropping to 0% after manipulation. It also introduces a novel evaluation scheme to assess the functionality and maliciousness of manipulated apps, showing that non-functional apps are ineffective threats.

Android malware is a persistent threat to billions of users around the world. As a countermeasure, Android malware detection systems are occasionally implemented. However, these systems are often vulnerable to \emph{evasion attacks}, in which an adversary manipulates malicious instances so that they are misidentified as benign. In this paper, we launch various innovative evasion attacks against several Android malware detection systems. The vulnerability inherent to all of these systems is that they are part of Androguard~\cite{desnos2011androguard}, a popular open source library used in Android malware detection systems. Some of the detection systems decrease to a 0\% detection rate after the attack. Therefore, the use of open source libraries in malware detection systems calls for caution. In addition, we present a novel evaluation scheme for evasion attack generation that exploits the weak spots of known Android malware detection systems. In so doing, we evaluate the functionality and maliciousness of the manipulated instances created by our evasion attacks. We found variations in both the maliciousness and functionality tests of our manipulated apps. We show that non-functional apps, while considered malicious, do not threaten users and are thus useless from an attacker's point of view. We conclude that evasion attacks must be assessed for both functionality and maliciousness to evaluate their impact, a step which is far from commonplace today.

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