This section lists all known references to the Malpedia project and research/tools/services situated around it (such as ApiScout and similar).
If you feel that something should be listed here, please let us know via the feedback box, e-mail, or Twitter!
Malpedia Publication
If you want to use the data set for research, feel free to do so!
We hope the corpus can serve as a catalyst for further research and we hope that it will be used in many other projects.
We are always happy about citations, please reference the following publication if you use Malpedia:
Plohmann, D., Clauss, M., Enders, S., Padilla, E. Malpedia: A Collaborative Effort to Inventorize the Malware Landscape. The Journal on Cybercrime & Digital Investigations, [S.l.], v. 3, n. 1, apr. 2018.
@article{CybIN,
author = {Daniel Plohmann and Martin Clauss and Steffen Enders and Elmar Padilla},
title = {{Malpedia: A Collaborative Effort to Inventorize the Malware Landscape}},
journal = {{The Journal on Cybercrime \& Digital Investigations}},
volume = {3},
number = {1},
year = {2018},
keywords = {malware,analysis,corpus,analysis, windows api},
abstract = {{In this paper, we introduce Malpedia, a collaboration platform for curating a malware corpus. It includes a baseline for a cleanly labeled malware corpus consisting of 607 families divided into 1792 samples. This corpus offers a plethora of possibilities for researchers, including using it as a testbed for evaluations on detection and analysis methods, quality assurance for classification, and contextualization of new malware. Based on our corpus, we show that looking beyond packers dramatically reduces the size needed for a corpus to be representative, as the number of distinct malware families and versions after unpacking is orders of magnitude smaller than the number of unique packed samples. Additionally, we perform a comprehensive study of the Windows malware in the corpus, scrutinizing its structural features.}},
url = {https://journal.cecyf.fr/ojs/index.php/cybin/article/view/17}
}
2019-10-01 | Jenke, T., Plohmann, D., Padilla, E. "RoAMer: The Robust Automated Malware Unpacker". In: Proceedings of the 14th International Conference on Malicious and Unwanted Software (MALWARE 2019), USA.