Awesome Malware Benign Collections: Curated Links for Windows and Android

Curated by 0xh3xa and updated through January 2026, this repository aggregates links to malware and benign datasets for cybersecurity research. It organizes resources across Windows and Android platforms to facilitate malware classification and deep learning applications.

Use Cases

• Developing malware-classification models using the Windows-specific repository links
• Training deep-learning architectures for android malware-detection using the mobile-focused entries
• Validating security-researchers' hypotheses using the benign and malicious file metadata

Strengths

• Covers multiple platforms including Windows and Android
• Includes 13+ specific tags for targeted search
• Released under CC0-1.0 public domain dedication

Limitations

• Does not contain raw data files directly
• No standardized schema across the linked datasets
• Link rot may affect accessibility of older entries

Provenance

Source

0xh3xa on GitHub

Collection Method

curated

Freshness

Updated as recently as January 2026.

Geography

global