This dataset categorizes malware families based on their behavior, code signatures, and platform targets. It's designed for security researchers and analysts to identify patterns and improve threat detection.

📋 Key Features

  • Comprehensive Classification: Over 500+ malware families labeled by type (trojan, ransomware, spyware, etc.)
  • Platform-Specific Data: Includes Windows, Linux, Android, and IoT device families
  • Behavioral Indicators: Contains metadata on network activity, file encryption, and persistence methods

🔍 Example Entries

  • Windows Malware

    Windows_Malware
    *Sample family: Emotet (banking trojan)*

  • Linux Threats

    Linux_Malware
    *Sample family: Mirai (DDoS botnet)*

  • Android Malware

    Android_Malware
    *Sample family: Gooligan (stealing user credentials)*

🌐 Use Cases

  1. Threat Intelligence: Map malware family relationships
  2. Signature Development: Create detection rules for AV tools
  3. Research Studies: Analyze cross-platform attack vectors

For deeper insights into dataset structure, visit our Malware Dataset Overview.

Global_Network_Security

Note: All data complies with cybersecurity research guidelines and is used for defensive purposes only.