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Malware Analysis with Multiple Features

Authors: Muhammad Najmi Ahmad Zabidi; Mohd Aizaini Maarof; Anazida Binti Zainal;

Malware Analysis with Multiple Features

Abstract

Malware analysis process is being categorized into static analysis and dynamic analysis. Both static and dynamic analysis have their own strengths and weaknesses. In this paper, we present a tool written in Python programming language called as pingaji, which could assist the work of malware analyst to get the static features of malware. pingaji contains several modules - Application Programming Interface (API) calls extractor, binary entropy information, anti virtual machine and anti debugger detector and XOR encrypted strings decrypt or. pingaji was developed in order to assist our work in getting malware features. pingaji is focusing on ripping Microsoft Windows executable binaries' malicious features.

Country
Malaysia
Keywords

QA75 Electronic computers. Computer science

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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Top 10%
Average
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