rieck/malheur
A Tool for Automatic Analysis of Malware Behavior
Performs unsupervised clustering and supervised classification of sandbox-recorded malware behavior using machine learning, enabling identification of novel malware families and assignment of unknown samples to discovered groups. Supports incremental batch processing for scalable analysis of large datasets, with prototype extraction to guide manual inspection. Processes behavior reports in a standardized format and depends on libconfig and libarchive for configuration and archive handling.
373 stars. No commits in the last 6 months.
Stars
373
Forks
102
Language
C
License
GPL-3.0
Category
Last pushed
May 08, 2019
Commits (30d)
0
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