Datasets › Quo Vadis: Dynamic Malware Analysis Dataset

Quo Vadis: Dynamic Malware Analysis Dataset

Introduced by Dmitrijs Trizna in Quo Vadis: Hybrid Machine Learning Meta-Model based on Contextual and Behavioral Malware Representations20 Aug 2022 archive 2025-07-28

Description

Quo Vadis: Hybrid Machine Learning Meta-Model Based on Contextual and Behavioral Malware Representations

It contains behavioral reports obtained with Speakeasy emulator from 93533 32-bit portable executables (PE).

To reflect concept drift in malware:

76126 files that form a training set were collected in Jan 2022. 17407 files that form a test set were collected in Apr 2022.

Labels

Files located in report_clean and report_windows_syswow64 are clean (benign). All others represent malware distributed over 7 families.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 2 papers for it but never published that list.

Dataset loaders archive 2025-07-28

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

GNU Lesser General Public License

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • Quo Vadis: Dynamic Malware Analysis Dataset

1 variant name, as the archive lists them.

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections