Thesis Details
Detekce phishingu ve webových stránkách
This work deals with the design of a phishing attack detection and classification tool. The work describes techniques and forms of phishing attacks and availible tools and techniques for phishing detection. Based on the analysis of existing tools a solution for file classification is proposed. Implemented tool handles input parsing and creation of input model. Model is based on hybrid analysis of input file and URL. Using the YARA tool, YARA rules are applied which are then used in creation of input classification. Analysis of input model and definition of classification rules is enabled by implemented YARA module. Implemented solution makes it possible to define YARA rules for phishing classification based on the structural properties of a phishing file and features of source URL.
phishing, malware, security, web pages, YARA, Python
Češka Milan, doc. RNDr., Ph.D. (DITS FIT BUT), člen
Grégr Matěj, Ing., Ph.D. (DIFS FIT BUT), člen
Hrdina Jaroslav, doc. Mgr., Ph.D. (DADM FME BUT), člen
Malinka Kamil, Mgr., Ph.D. (DITS FIT BUT), člen
Vašíček Zdeněk, doc. Ing., Ph.D. (DCSY FIT BUT), člen
@mastersthesis{FITMT22203,
author = "Marek Be\v{n}o",
type = "Master's thesis",
title = "Detekce phishingu ve webov\'{y}ch str\'{a}nk\'{a}ch",
school = "Brno University of Technology, Faculty of Information Technology",
year = 2019,
location = "Brno, CZ",
language = "czech",
url = "https://www.fit.vut.cz/study/thesis/22203/"
}