
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.
QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
| 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). | 11 | |
| 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. | 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). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
