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ThinkMind // CYBER 2019, The Fourth International Conference on Cyber-Technologies and Cyber-Systems // View article cyber_2019_3_10_80050
Detecting Spectre Vulnerabilities by Sound Static Analysis
 Authors: Daniel Kästner Laurent Mauborgne Christian Ferdinand Henrik Theiling Keywords: Spectre; taint analysis; abstract interpretation; static analysis; embedded software; operating systems; safety; cybersecurity Abstract: Spectre attacks are critical transient execution attacks affecting a wide range of microprocessors and potentially all software executed on them, including embedded and safety-critical software systems. In order to help eliminating Spectre vulnerabilities at a reasonable human and performance cost, we propose to build on an efficient industrial code analyzer, such as Astrée, which enables an automatic analysis of big complex C codes with high precision. Its main purpose is to discover run time errors, but to do so, it computes precise over-approximations of all the states reachable by a program. We enriched these states with tainting information based on a novel tainting strategy to detect Spectre v1, v1.1 and SplitSpectre vulnerabilities. The selectivity and performance of the analysis is evaluated on the embedded real-time operating system PikeOS, and on industrial safety-critical embedded software projects from the avionics and automotive domain. Pages: 29 to 36 Copyright: Copyright (c) IARIA, 2019 Publication date: September 22, 2019 Published in: conference ISSN: 2519-8599 ISBN: 978-1-61208-743-6 Location: Porto, Portugal Dates: from September 22, 2019 to September 26, 2019
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