MH-1M: A 1.34 Million-Sample Multi-Feature Android Malware Dataset with Rich Metadata

We present MH-1M, one up-to-date dataset for advanced Android malware research. The dataset comprises 1,340,515 applications, encompassing a wide range of features and extensive metadata. To ensure accurate malware classification, we employ the VirusTotal API, integrating multiple detection engines for comprehensive and reliable assessment. Our Figshare, Harvard Dataverse and GitHub repositories provide open access to the processed dataset and its extensive supplementary metadata, totaling more than 400 GB of data and including the outputs of the feature extraction pipeline as well as the corresponding VirusTotal reports. Our findings underscore the MH-1M dataset's role in understanding the evolving landscape of malware.