Journal article

ĎURFINA Lukáš, KŘOUSTEK Jakub, MATULA Peter and ZEMEK Petr. A Novel Approach to Online Retargetable Machine-Code Decompilation. Journal of Network and Innovative Computing (JNIC). 2014, vol. 2, no. 1, pp. 224-232. ISSN 2160-2174. Available from:
Publication language:english
Original title:A Novel Approach to Online Retargetable Machine-Code Decompilation
Title (cs):Nový přístup k online rekonfigurovatelnému zpětnému překladu strojového kódu
Journal:Journal of Network and Innovative Computing (JNIC), Vol. 2, No. 1, US
reverse engineering, decompilation, retargetable decompiler, raw machine code, code snippets, web service, Lissom
Machine-code decompilation, belonging to the area of reverse engineering, has found its applications in many real-world areas. Analysis of malicious software, search for vulnerabilities, and source-code recovery are some of the most important uses. As there exists a diversity of different platforms on which software can be run, an existence of a generic decompiler would be highly appreciated.

This paper presents an extended version of our retargetable decompiler that also allows decompilation of raw binary code, such as firmware or code snippets. More specifically, in the present paper, we provide a description of a retargetable decompiler that is being developed within the Lissom project. First, we give an introduction into the area of machine-code decompilation, including a brief discussion of existing tools. Then, we describe the concept and architecture of the decompiler. As it is available in the form of a web service, we also provide its description. Finally, we summarise our results, present a case study of using the tool for analysing malicious software, and conclude the paper by several remarks on future research.
   author = {Luk{\'{a}}{\v{s}} {\v{D}}urfina and Jakub
	K{\v{r}}oustek and Peter Matula and Petr Zemek},
   title = {A Novel Approach to Online Retargetable
	Machine-Code Decompilation},
   pages = {224--232},
   journal = {Journal of Network and Innovative Computing (JNIC)},
   volume = 2,
 number = 1,
   year = 2014,
   ISSN = {2160-2174},
   language = {english},
   url = {}

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