Malheur
A tool for automatic analysis of malware behavior using machine learning to identify, cluster, and classify malicious software.
What is Malheur?
Malheur is a tool for the automatic analysis of malware behavior using machine learning techniques. It processes program behavior recorded from malicious software in sandbox environments to identify novel malware classes, cluster similar behaviors, and classify unknown malware variants. The tool helps security researchers develop detection and defense measures by automating the analysis of large volumes of malware reports.
Security researchers, malware analysts, and cybersecurity professionals who need to analyze large datasets of malware behavior and develop detection mechanisms. It's particularly useful for organizations conducting regular malware inspections and threat intelligence.
Malheur provides automated machine learning-based analysis of malware behavior, enabling efficient processing of large datasets through incremental analysis. Its unique combination of prototype extraction, clustering, and classification helps identify novel malware families and supports the creation of specific detection signatures.
Overview
A Tool for Automatic Analysis of Malware Behavior
Use Cases
Best For
- Identifying novel classes of malware with similar behavior patterns
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