Adobe 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 in which users'
systems are vulnerable.
Malware Classifier uses machine learning algorithms to classify Win32
binaries – EXEs and DLLs – into three classes: 0 for “clean,” 1 for
“malicious,” or “UNKNOWN.”
The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs.
The tool extracts seven key features from an unknown binary, feeds them to one of the four classifiers or all of them, and presents its classification of the unknown binary.
The tool was developed using models resultant from running the J48, J48 Graft, PART, and Ridor machine-learning algorithms on a dataset of approximately 100,000 malicious programs and 16,000 clean programs.
The tool extracts seven key features from an unknown binary, feeds them to one of the four classifiers or all of them, and presents its classification of the unknown binary.
Download ::
Python :: AdobeMalwareClassifier.pySource :: http://sourceforge.net/projects/malclassifier.adobe/?source=navbar
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