Adobe released 'Adobe Malware Classifier' tool in order to help Malware analysts and security researchers to identify the malwares.
'Adobe Malware Classifier', written in Python by Karthik Raman from Adobe PSIRT , uses machine learning algorithms to classify Windows executable and dynamic link library (DLL) files as clean, malicious or unknown.
Malware Classifier is a command-line tool that lets antivirus analysts, IT administrators, and security researchers quickly and easily determine if a binary file contains malware: so they can develop malware detection signatures faster, reducing the time during which users' systems are vulnerable.
The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a data set of approximately 100,000 malicious programs and 16,000 clean programs.
The tool is released as open source software in SourceForge and available for download here:
http://sourceforge.net/projects/malclassifier.adobe/
