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The popularity of Android system, not only in the handset devices but also inIoT devices, makes it a very attractive destination for malware. Indeed,malware is expanding at a similar rate targeting such devices that rely, inmost cases, on Internet to work properly. The state-of-the-art malwaremitigation solutions mainly focus on the detection of the actual maliciousAndroid apps using dy- namic and static analyses features to distinguishmalicious apps from benign ones. However, there is a small coverage for the In-ternet/network dimension of the Android malicious apps. In this paper, wepresent ToGather, an automatic investigation framework that takes the Androidmalware samples, as input, and produces a situation awareness about themalicious cyber infrastructure of these samples families. ToGather leveragesthe state-of-the-art graph theory techniques to generate an actionable andgranular intelligence to mitigate the threat imposed by the malicious Internetactivity of the Android malware apps. We experiment ToGather on real malwaresamples from various Android families, and the obtained results are interestingand very promising

Automatic Investigation Framework for Android Malware Cyber-Infrastructures