Sharing the Dataset of Identified Android Malware Development Cases on VirusTotal


(to request the malware binary please email heqing.state AT gmail.com)

Click for download: Some of the detailed certificate information that we constructed during the analysis 

More details please refer to our IEEE bigdata 2016 paper:  (pdfbibtex)  "Android Malware Development on Public Malware Scanning Platforms: A Large-scale Date-driven Study." Heqing Huang, Cong Zheng, Junyuan Zeng, Wu Zhou, Sencun Zhu, Peng Liu, Suresh Chari, Ce Zhang, To appear 2016 IEEE Big Data (accepted as long paper with four acceptances: 79/423=18.7%)  


Report and media coverages for some identified results on Android banking trojan, which is a series of evolving apps that are designed to imitate the legitimate apps of dozens of financial management institutions and service providers worldwide.


 Figure 4: The 1,623 AMDs across 83 countries



Table 5 :  The Distribution of 83 Countries of the SubIDs, and their Malaware Samples Counts

The Distribution of 83 Countries of the SubIDs, and their Malaware Samples Counts












Figure 15: One Example Result of the Sample-Similarity Based Grouping of SubIDs (from a Ph.D student at Singapore that Developing Evolving Samples); Node is a SubID, edges Represent SubIDs that Sharing Similar Samples
One Example Result of the Sample-Similarity Based Grouping of SubIDs (from a Ph.D student at Singapore that Developing Evolving Samples); Node is a SubID, edges Represent SubIDs that Sharing Similar Samples

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