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EN
The paper presents methodologies associated with visualization, which supports data analysis. Analyzed data has been gathered by HoneyPot systems deployed in the network of Institute of Computer Science. Due to the vast amounts of data, the manual analysis was almost impossible and very impractical, also considering time constraints. Introduced visualization techniques and supporting filtering features are implemented in HPMS (HoneyPot Management System). The paper describes in details two introduced methodologies which support data analysis using both charts and graphs. The first one is used for the discovery of basic activities observed by HoneyPot. The second one is used for advanced analysis of machines used during attacks concerning PhpMyAdmin software.
EN
In the recent years, one can observe the increase in the number of malicious software (malware) samples analyzed by the antivirus companies. One explanation is associated with attacker's antivirus systems hider tactic, which modifies hostile programs form, without changing it functionality. In effect, the first step of analysis is associated with the check if a given sample is a new threat or modification of existing. Very often such simple test can be performed automatically by dedicated information system. Paper describes information system, which allows dynamic analysis of malicious sample. Presented system was developed and deployed in the Institute of Computer Science, Warsaw University of Technology. During performed security research concerning ransomware threats system proves its usefulness. Additionally, the system become a knowledge base of known malware recently analyzed by our security team.
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