Thesis Details

Metody analýzy a detekce ransomwaru

Bachelor's Thesis Student: Vojtáš Samuel Academic Year: 2021/2022 Supervisor: Zobal Lukáš, Ing.
Language
Slovak
Abstract

The purpose of this thesis is to demonstrate the threat of malware and to describe its forms. Special focus is put on ransomware - its historical evolution, method of analysis, detection, and recovery from it. Various techniques of reverse engineering are also introduced alongside concepts related to it, such as static and dynamic analysis or sandboxing. Paper centers around creating detection mechanisms and malware classification. Company Avast provided samples of several ransomware families for the analysis to create detection YARA rules and to describe samples' behavior. The process of development of detection mechanisms for ransomware threats is shown alongside the method to decrypt files encrypted by various ransomware families that contained cryptography errors. The end of the thesis sums up the resulting data regarding the efficiency of defense mechanisms.

Keywords

Malware, Reverse engineering, Ransomware, Cryptography, YARA

Department
Degree Programme
Files
Status
defended, grade A
Date
14 June 2022
Reviewer
Committee
Hanáček Petr, doc. Dr. Ing. (DITS FIT BUT), předseda
Malinka Kamil, Mgr., Ph.D. (DITS FIT BUT), člen
Milet Tomáš, Ing., Ph.D. (DCGM FIT BUT), člen
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS FIT BUT), člen
Strnadel Josef, Ing., Ph.D. (DCSY FIT BUT), člen
Citation
VOJTÁŠ, Samuel. Metody analýzy a detekce ransomwaru. Brno, 2022. Bachelor's Thesis. Brno University of Technology, Faculty of Information Technology. 2022-06-14. Supervised by Zobal Lukáš. Available from: https://www.fit.vut.cz/study/thesis/24307/
BibTeX
@bachelorsthesis{FITBT24307,
    author = "Samuel Vojt\'{a}\v{s}",
    type = "Bachelor's thesis",
    title = "Metody anal\'{y}zy a detekce ransomwaru",
    school = "Brno University of Technology, Faculty of Information Technology",
    year = 2022,
    location = "Brno, CZ",
    language = "slovak",
    url = "https://www.fit.vut.cz/study/thesis/24307/"
}
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