{"url":"/dataset/quo-vadis-dynamic-malware-analysis-dataset","name":"Quo Vadis: Dynamic Malware Analysis Dataset","full_name":null,"description_markdown":"# Description\r\n\r\nQuo Vadis: Hybrid Machine Learning Meta-Model Based on Contextual and Behavioral Malware Representations\r\n\r\nIt contains behavioral reports obtained with Speakeasy emulator from 93533 32-bit portable executables (PE).\r\n\r\nTo reflect concept drift in malware:\r\n\r\n76126 files that form a training set were collected in Jan 2022.\r\n17407 files that form a test set were collected in Apr 2022.\r\n\r\n# Labels\r\n\r\nFiles located in report_clean and report_windows_syswow64 are clean (benign). All others represent malware distributed over 7 families.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/dmitrijstrizna/quo-vadis-malware-emulation","introduced_date":"2022-08-20","introduced_date_note":null,"introduced_by":{"paper":"/paper/quo-vadis-hybrid-machine-learning-meta-model","title":"Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations","first_author":"Dmitrijs Trizna","url":null},"license":{"name":"GNU Lesser General Public License","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["Quo Vadis: Dynamic Malware Analysis Dataset"],"data_loaders":[{"repo":"https://github.com/elastic/ember","url":"https://paperswithcode.com/dataset/quo-vadis-dynamic-malware-analysis-dataset","frameworks":["pytorch"]}],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}