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dc.contributor.authorEngelberth, Markus
dc.contributor.authorGöbel, Jan
dc.contributor.authorSchönbein, Christian
dc.contributor.authorFreiling, Felix C.
dc.contributor.editorSuri, Neeraj
dc.contributor.editorWaidner, Michael
dc.date.accessioned2018-11-19T13:11:38Z
dc.date.available2018-11-19T13:11:38Z
dc.date.issued2012
dc.identifier.isbn978-3-88579-289-5
dc.identifier.issn1617-5468
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/18269
dc.description.abstractThe application of dynamic malware analysis in order to automate the monitoring of malware behavior has become increasingly important. For this purpose, so-called sandboxes are used. They provide the functionality to execute malware in a secure, controlled environment and observe its activities during runtime. While a variety of sandbox software, such as the GFI Sandbox (formerly CWSandbox) or the Joe Sandbox, is available, most solutions are closed-source. We present the design, implementation and evaluation of PyBox, a flexible and open-source sandbox written in Python. The application of a Python based analysis environment offers the opportunity of performing malware analyses on various operating systems as Python is available for almost every existing platform.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSICHERHEIT 2012 – Sicherheit, Schutz und Zuverlässigkeit
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-195
dc.titlePybox - a python sandboxen
dc.typeText/Conference Paper
dc.pubPlaceBonn
mci.reference.pages137-148
mci.conference.sessiontitleRegular Research Papers
mci.conference.locationDarmstadt
mci.conference.date7.-9. März 2012


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