FiBack

Georg Merzdovnik, Christian Kudera, Michael Pucher
Jan 1, 2022
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FiBack focuses on the (partially) automated detection of (un)intended built-in backdoors in IT components (third-party software, appliances, IoT devices).

Georg Merzdovnik
Georg Merzdovnik
Senior Researcher

My research interests include IoT/Systems Security & Privacy.

Christian Kudera
Christian Kudera
Researcher

My research interests include Internet of Things security, embedded systems security, embedded systems virtualization, honeypots and cyber threat intelligence.

Michael Pucher
Michael Pucher
Researcher

My research interests include systems security, malware analysis and embedded security, focusing on software reverse engineering and dynamic binary analysis.

Publications

Fuzzing Embedded Protocols. Martin Szewieczek (2023). TU Wien. Master Thesis.
Faulting RISC-V - Comparing the Fault Resilience of the RISC-V Instruction Set Architecture. Philipp Eichinger (2023). TU Wien. Bachelor Thesis.
Scanning for IoT Devices Using a Mobile Android Application. Michael Bernd Stöger (2023). TU Wien. Master Thesis.
Automated User-Mode Emulation of Embedded Web Interfaces. Klaus Hahnenkamp (2022). TU Wien. Bachelor Thesis.
Detecting Obfuscated Function Clones in Binaries using Machine Learning. Michael Pucher, Christian Kudera, Georg Merzdovnik (2022). Proceedings of the 5th Workshop on Binary Analysis Research.
Identification of Obfuscated Function Clones in Binaries using Machine Learning. Michael Pucher (2022). TU Wien. Master Thesis.