DETECTING PDF JAVASCRIPT MALWARE USING CLONE DETECTION

DETECTING PDF JAVASCRIPT MALWARE USING CLONE DETECTION

One common vector of malware is JavaScript in Adobe Acrobat (PDF) files. In this thesis, we investigate using near-miss clone detectors to find this malware. We start by collecting a set of PDF files containing JavaScript malware and a set with clean JavaScript from the VirusTotal repository. We use...

Full description

Bibliographic Details
Main Author: Karademir, SARUHAN
Other Authors: Queen's University (Kingston, Ont.). Theses (Queen's University (Kingston, Ont.))
Language:en
en
Published: 2013
Subjects:
nicad
clone detection
PDF
security
Acrobat
malware
Online Access:http://hdl.handle.net/1974/8387

Internet

http://hdl.handle.net/1974/8387

Similar Items