Abstract
CalMal uses unsupervised machine learning for categorising and clustering of malware based upon the behaviour of the malware. Currently CalMal uses data from VirusTotal . It provides following functionalities :
- Cluster different malware family.
- Identifying similarities with any APT malware
- Identify new samples.
- Providing visual clustering It can easily be extended to use data from any sandbox.