Design and implementation of a framework for viewing and analysis of malicious documents – Bc. Richard Nossek
Bc. Richard Nossek
Master's thesis
Design and implementation of a framework for viewing and analysis of malicious documents
Design and implementation of a framework for viewing and analysis of malicious documents
Abstract:
Cílem této diplomové práce je poskytnout detailní analýzu problematiky škodlivých PDF dokumentů a současný stav nástrojů pro jejich analýzu. První část práce popisuje strukturu formátu PDF a jak ji jde zneužít k obfuskaci závadného obsahu. Dále je prozkoumána oblast prohlížení PDF dokumentů v prostředí webových prohlížečů a zhodnocení funkcionality všech volně dostupných nástrojů pro analýzu PDF souborů …moreAbstract:
The goal of this thesis is to provide an in-depth assessment of the use of PDF (Portable Document Format) file format as an attack vector and the current state of the field of malicious document analysis. First, we provide detailed introduction into the inner organization and structure of PDF files and describe how different features can be used for obfuscation purposes. Next, we describe options available …more
Language used: English
Date on which the thesis was submitted / produced: 27. 5. 2013
Identifier:
https://is.muni.cz/th/kepdf/
Thesis defence
- Date of defence: 24. 6. 2013
- Supervisor: RNDr. Václav Lorenc
- Reader: RNDr. Marek Kumpošt, Ph.D.
Citation record
ISO 690-compliant citation record:
NOSSEK, Richard. \textit{Design and implementation of a framework for viewing and analysis of malicious documents}. Online. Master's thesis. Brno: Masaryk University, Faculty of Informatics. 2013. Available from: https://theses.cz/id/jyd47y/.
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- světu
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Masarykova univerzita, Fakulta informatikyMasaryk University
Faculty of InformaticsMaster programme / field:
Informatics / Information Technology Security
Theses on a related topic
-
Portable Document Format
Gianluca Turturro -
Windows malware detection using malware visualisation
Martina Cvinčeková -
Investigating polymorphism for the D-TIME malware execution platform
Ankur Lohchab -
Labeling of Android malware with help of cryptographic API usage
Dominik Macko -
Detection of Android Malware Using Machine Learning
Matúš Šikyňa -
Malware Detection on Mobile Device
Lucia Lopúchová -
Creation of a stealthy communication protocol for distributed malware
Matej Kleman -
Modern techniques of malware detection and analysis in devices with Android OS
Slavomíra Hunčárová