Title | A Comparative Analysis of Open Source Automated Malware Tools |
Publication Type | Conference Paper |
Year of Publication | 2022 |
Authors | Preeti, Agrawal, Animesh Kumar |
Conference Name | 2022 9th International Conference on Computing for Sustainable Global Development (INDIACom) |
Keywords | Any. Run, automated analysis, cuckoo sandbox, Human Behavior, Intezer Analyze, Malware, malware analysis, Malware Comparative Analysis, Manuals, Metrics, privacy, pubcrawl, resilience, Resiliency |
Abstract | Malwares are designed to cause harm to the machine without the user's knowledge. Malwares belonging to different families infect the system in its own unique way causing damage which could be irreversible and hence there is a need to detect and analyse the malwares. Manual analysis of all types of malwares is not a practical approach due to the huge effort involved and hence Automated Malware Analysis is resorted to so that the burden on humans can be decreased and the process is made robust. A lot of Automated Malware Analysis tools are present right now both offline and online but the problem arises as to which tool to select while analysing a suspicious binary. A comparative analysis of three most widely used automated tools has been done with different malware class samples. These tools are Cuckoo Sandbox, Any. Run and Intezer Analyze. In order to check the efficacy of the tool in both online and offline analysis, Cuckoo Sandbox was configured for offline use, and Any. Run and Intezer Analyze were configured for online analysis. Individual tools analyse each malware sample and after analysis is completed, a comparative chart is prepared to determine which tool is good at finding registry changes, processes created, files created, network connections, etc by the malicious binary. The findings conclude that Intezer Analyze tool recognizes file changes better than others but otherwise Cuckoo Sandbox and Any. Run tools are better in determining other functionalities. |
DOI | 10.23919/INDIACom54597.2022.9763227 |
Citation Key | preeti_comparative_2022 |