Pybox - a python sandbox
| dc.contributor.author | Engelberth, Markus | |
| dc.contributor.author | Göbel, Jan | |
| dc.contributor.author | Schönbein, Christian | |
| dc.contributor.author | Freiling, Felix C. | |
| dc.contributor.editor | Suri, Neeraj | |
| dc.contributor.editor | Waidner, Michael | |
| dc.date.accessioned | 2018-11-19T13:11:38Z | |
| dc.date.available | 2018-11-19T13:11:38Z | |
| dc.date.issued | 2012 | |
| dc.description.abstract | The 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.identifier.isbn | 978-3-88579-289-5 | |
| dc.identifier.pissn | 1617-5468 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/18269 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | SICHERHEIT 2012 – Sicherheit, Schutz und Zuverlässigkeit | |
| dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-195 | |
| dc.title | Pybox - a python sandbox | en |
| dc.type | Text/Conference Paper | |
| gi.citation.endPage | 148 | |
| gi.citation.publisherPlace | Bonn | |
| gi.citation.startPage | 137 | |
| gi.conference.date | 7.-9. März 2012 | |
| gi.conference.location | Darmstadt | |
| gi.conference.sessiontitle | Regular Research Papers |
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