Detailed Information on Publication Record
2020
On Symbolic Execution of Decompiled Programs
KORENČIK, Lukáš, Petr ROČKAI, Henrich LAUKO and Jiří BARNATBasic information
Original name
On Symbolic Execution of Decompiled Programs
Authors
KORENČIK, Lukáš (703 Slovakia, belonging to the institution), Petr ROČKAI (703 Slovakia, belonging to the institution), Henrich LAUKO (703 Slovakia, belonging to the institution) and Jiří BARNAT (203 Czech Republic, belonging to the institution)
Edition
Neuveden, Proceedings - 2020 IEEE 20th International Conference on Software Quality, Reliability, and Security, QRS 2020, p. 265-272, 8 pp. 2020
Publisher
IEEE Computer Society
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10200 1.2 Computer and information sciences
Country of publisher
United States of America
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
RIV identification code
RIV/00216224:14330/20:00114781
Organization unit
Faculty of Informatics
ISBN
978-1-7281-8914-7
UT WoS
000648778000030
Keywords in English
symbolic execution; decompilation; model checking; llvm
Tags
International impact, Reviewed
Změněno: 29/4/2021 08:16, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
In this paper, we present a combination of existing and new tools that together make it possible to apply formal verification methods to programs in the form of x86_64 machine code. Our approach first uses a decompilation tool (remill) to extract low-level intermediate representation (LLVM) from the machine code. This step consists of instruction translation(i.e. recovery of operation semantics), control flow extraction and address identification. The main contribution of this paper is the second step, which builds on data flow analysis and refinement of indirect (i.e. data-dependent) control flow. This step makes the processed bitcode much more amenable to formal analysis.To demonstrate the viability of our approach, we have compiled a set of benchmark programs into native executables and analysed them using two LLVM-based tools: DIVINE, a software model checker and KLEE, a symbolic execution engine. We have compared the outcomes to direct analysis of the same programs.
Links
GA18-02177S, research and development project |
| ||
MUNI/A/1050/2019, interní kód MU |
| ||
MUNI/A/1076/2019, interní kód MU |
|