SourceFinder: Finding Malware Source-Code from Publicly Available Repositories in GitHub


Md Omar Faruk Rokon, Risul Islam, Ahmad Darki, Evangelos E. Papalexakis, and Michalis Faloutsos, UC Riverside


Where can we find malware source code? This question is motivated by a real need: there is a dearth of malware source code, which impedes various types of security research. Our work is driven by the following insight: public archives, like GitHub, have a surprising number of malware repositories. Capitalizing on this opportunity, we propose, SourceFinder, a supervised-learning approach to identify repositories of malware source code efficiently. We evaluate and apply our approach using 97K repositories from GitHub. First, we show that our approach identifies malware repositories with 89% precision and 86% recall using a labeled dataset. Second, we use SourceFinder to identify 7504 malware source code repositories, which arguably constitutes the largest malware source code database. Finally, we study the fundamental properties and trends of the malware repositories and their authors. The number of such repositories appears to be growing by an order of magnitude every 4 years, and 18 malware authors seem to be "professionals" with a well-established online reputation. We argue that our approach and our large repository of malware source code can be a catalyst for research studies, which are currently not possible.

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@inproceedings {259731,
author = {Md Omar Faruk Rokon and Risul Islam and Ahmad Darki and Evangelos E. Papalexakis and Michalis Faloutsos},
title = {{SourceFinder}: Finding Malware {Source-Code} from Publicly Available Repositories in {GitHub}},
booktitle = {23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID 2020)},
year = {2020},
isbn = {978-1-939133-18-2},
address = {San Sebastian},
pages = {149--163},
url = {},
publisher = {USENIX Association},
month = oct