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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.
On power-law relationships of the internet topology
Michalis Faloutsos, Petros Faloutsos, and Christos Faloutsos · 1999
Earlier work this paper cites.
High-performing feature selection for text classification
Monica Rogati and Yiming Yang · 2002
Earlier work this paper cites.
The perils and pitfalls of mining sourceforge
James Howison and Kevin Crowston · 2004
Earlier work this paper cites.
Evaluating the quality and quantity of data on open source software projects
Austen Rainer and Stephen Gale · 2005
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Computer viruses and malware
John Aycock · 2006
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Pattern recognition and machine learning
Christopher M Bishop · 2006
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Euclidean embedding of co-occurrence data
Amir Globerson, Gal Chechik, Fernando Pereira, and Naftali Tishby · 2007
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Pearson correlation coefficient
Jacob Benesty, Jingdong Chen, Yiteng Huang, and Israel Cohen · 2009
Earlier work this paper cites.
Feature selection for text classification with naïve bayes
Jingnian Chen, Houkuan Huang, Shengfeng Tian, and Youli Qu · 2009
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Effective and efficient malware detection at the end host
Clemens Kolbitsch, Paolo Milani Comparetti, Christopher Kruegel, Engin Kirda, Xiao-yong Zhou, and XiaoFeng Wang · 2009
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A novel lightweight virtual machine based decompiler to generate c/c++ code with high readability
Gengbiao Chen, Zhuo Wang, Ruoyu Zhang, Kan Zhou, Shiqiu Huang, Kangqi Ni, and Zhengwei Qi · 2010
Earlier work this paper cites.
Experiences in malware binary deobfuscation
Hassen Saıdi, Phillip Porras, and Vinod Yegneswaran · 2010
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Understanding bag-of-words model: a statistical framework
Yin Zhang, Rong Jin, and Zhi-Hua Zhou · 2010
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Design of a retargetable decompiler for a static platform-independent malware analysis
Lukáš Ďurfina, Jakub Křoustek, Petr Zemek, Dušan Kolář, Tomáš Hruška, Karel Masařík, and Alexander Meduna · 2011
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A comparative study of stemming algorithms
Anjali Ganesh Jivani et al · 2011
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Malware detection using assembly and api call sequences
Madhu K Shankarapani, Subbu Ramamoorthy, Ram S Movva, and Srinivas Mukkamala · 2011
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Is naive bayes a good classifier for document classification
SL Ting, WH Ip, and Albert HC Tsang · 2011
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Social coding in github: transparency and collaboration in an open software repository
Laura Dabbish, Colleen Stuart, Jason Tsay, and Jim Herbsleb · 2012
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Machine learning: a probabilistic perspective
Kevin P Murphy · 2012
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Social networking meets software development: Perspectives from github, msdn, stack exchange, and topcoder
Andrew Begel, Jan Bosch, and Margaret-Anne Storey · 2013
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A refined decompiler to generate c code with high readability
Gengbiao Chen, Zhengwei Qi, Shiqiu Huang, Kangqi Ni, Yudi Zheng, Walter Binder, and Haibing Guan · 2013
Earlier work this paper cites.
Psybot malware: A step-by-step decompilation case study
Lukás Ďurfina, Jakub Křoustek, and Petr Zemek · 2013
Earlier work this paper cites.
Github developers use rockstars to overcome overflow of news
Michael J Lee, Bruce Ferwerda, Junghong Choi, Jungpil Hahn, Jae Yun Moon, and Jinwoo Kim · 2013
Earlier work this paper cites.
Efficient estimation of word representations in vector space
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean · 2013
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean · 2013
Cited alongside, same era.
Drebin: Effective and explainable detection of android malware in your pocket
Daniel Arp, Michael Spreitzenbarth, Malte Hubner, Hugo Gascon, Konrad Rieck, and CERT Siemens · 2014
Cited alongside, same era.
The promises and perils of mining github
Eirini Kalliamvakou, Georgios Gousios, Kelly Blincoe, Leif Singer, Daniel M German, and Daniela Damian · 2014
Cited alongside, same era.
Security and emotion: sentiment analysis of security discussions on github
Daniel Pletea, Bogdan Vasilescu, and Alexander Serebrenik · 2014
Cited alongside, same era.
Javascript malware detection using a high-level fuzzy petri net
Victor RL Shen, Chin-Shan Wei, and Tony Tong-Ying Juang · 2018
Later among the works it cites.
Unusual events in github repositories
Christoph Treude, Larissa Leite, and Maurício Aniche · 2018
Later among the works it cites.
Bayesian naïve bayes classifiers to text classification
Shuo Xu · 2018
Later among the works it cites.
Idapro for iot malware analysis?
Sri Shaila G, Ahmad Darki, Michalis Faloutsos, Nael Abu-Ghazaleh, and Manu Sridharan · 2019
Later among the works it cites.
Repository search for public repositories: Showing 32,107,794 available repository results
GitHub · 2019
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User search: Showing 34,149,146 available users
GitHub · 2019
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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From word embeddings to document distances
Matt Kusner, Yu Sun, Nicholas Kolkin, and Kilian Weinberger · 2015
Cited alongside, same era.
Word embedding revisited: A new representation learning and explicit matrix factorization perspective
Yitan Li, Linli Xu, Fei Tian, Liang Jiang, Xiaowei Zhong, and Enhong Chen · 2015
Cited alongside, same era.
Evaluation methods for unsupervised word embeddings
Tobias Schnabel, Igor Labutov, David Mimno, and Thorsten Joachims · 2015
Cited alongside, same era.
Stealthy malware traffic-not as innocent as it looks
Xingsi Zhong, Yu Fu, Lu Yu, Richard Brooks, and G Kumar Venayagamoorthy · 2015
Cited alongside, same era.
Androzoo: Collecting millions of android apps for the research community
Kevin Allix, Tegawendé F Bissyandé, Jacques Klein, and Yves Le Traon · 2016
Cited alongside, same era.
A look into 30 years of malware development from a software metrics perspective
Alejandro Calleja, Juan Tapiador, and Juan Caballero · 2016
Cited alongside, same era.
Findings from github: methods, datasets and limitations
Valerio Cosentino, Javier Luis Cánovas Izquierdo, and Jordi Cabot · 2016
Cited alongside, same era.
Source code extraction via monitoring processing of obfuscated byte code, August 27 2019
Richard Healey · 2019
Later among the works it cites.
Mentions of security vulnerabilities on reddit, twitter and github
Sameera Horawalavithana, Abhishek Bhattacharjee, Renhao Liu, Nazim Choudhury, Lawrence O Hall, and Adriana Iamnitchi · 2019
Later among the works it cites.
A python libraray to use github api v3
PyGithub · 2019
Later among the works it cites.
Virustotal-free online virus, malware and url scanner
Virus Total · 2019
Later among the works it cites.
A web-based, collaboration platform for malware researcher
VirusBay · 2019
Later among the works it cites.
Hacking tool of 3vilp4wn
3vilp4wn · 2020
Closest in time.
ios malwares in 2014
Chris Stobing · 2020
Closest in time.
Hacking tool of cr4sh
CR4SH · 2020
Closest in time.
Joobin Gharibshah, Evangelos E Papalexakis, and Michalis Faloutsos · 2020
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Pupy tool
n1nj4sec · 2020
Closest in time.
Security researcher
Nicolas Verdier · 2020
Closest in time.
Should we create a separate git repository of each project or should we keep multiple projects in a single git repo?
Nikhil Gupta · 2020
Closest in time.
Article on pupy
Raj Chandel · 2020
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Hacking news of fahim magsi
Tom K · 2020
Closest in time.
Choosing between “one project per repository” vs “multiple projects per repository” architecture
Tommy Hodgins · 2020
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Linux based botnet bashlite
Wikipedia · 2020
Closest in time.
Security researcher
Yuval Nativ · 2020
Closest in time.