In this paper, we introduce Malpedia, our take on a collaborative platform for the curation of a coherent corpus of cleanly labeled, unpacked malware samples. Illustrating one of the use cases for this data set, we provide a comparative overview of structural characteristics for more than 300 families of Windows
Cybercriminals employ websites to infect victims with malware using techniques such as drive-by-download or social engineering. On the other hand, several approaches (e.g. client honeypots) exist to detect malicious websites. Nonetheless, this is a time-consuming task, and thus, computational resources should be spent on targets that are more prone to
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