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Analysis and detection of PWS malware
Blažek, Jan ; Ricci, Sara (oponent) ; Dzurenda, Petr (vedoucí práce)
The aim of this bachelor’s thesis is to study the issue of malicious code and its various types, with a specific focus on the type known as Password Stealers (PWS). The thesis presents various methods of analyzing binary executable code, such as static and dynamic analysis, or sandboxing. Using these methods, eleven malware families have been analyzed. Three of them are new discoveries. The thesis also deals with the creation of detection and classification rules and their subsequent implementation in the YARA language. Several detection rules are created in the text to classify specific families of PWS types. The thesis presents the resulting data illustrating the spread of the described malware in the user base of the Avast company. Finally, a laboratory exercise focused on reverse engineering and malware analysis is presented at the end of the thesis.

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