ROOTS 2018: Library and Function Identification by Optimized Pattern Matching on Compressed Databases – Maximilian von Tschirschnitz

Sanna/ January 7, 2019/ ROOTS

[Editor’s note: This article belongs to the Reversing and Offensive-oriented Trends Symposium 2018 (ROOTS). It was misplaced, so we publish it today. Maximilian’s talk was recorded and can be watched on Vimeo.] The goal of library and function identification is to find the original library and function to a given machine-code snippet. These snippets commonly arise from penetration tests attacking a remote executable, static malware analysis or from an IP infringement investigation. While there are several tools designed to achieve this task, all of these seem to rely on varied methods of signature-based identification. In this work, the author argues that this approach is not sufficient for many cases and propose a design and implementation for a multitool called KISS. KISS uses lossless compression and highly optimized pattern matching algorithms to create a very

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