Florian Hofhammer (EPFL), Marcel Busch (EPFL), Qinying Wang (EPFL and Zhejiang University), Manuel Egele (Boston University), Mathias Payer (EPFL)

Dynamic analysis of microcontroller-based embedded firmware remains challenging. The general lack of source code availability for Commercial-off-the-shelf (COTS) firmware prevents powerful source-based instrumentation and prohibits compiling the firmware into an executable directly runnable by an analyst. Analyzing firmware binaries requires either acquisition and configuration of custom hardware, or configuration of extensive software stacks built around emulators. In both cases, dynamic analysis is limited in functionality by complex debugging and instrumentation interfaces and in performance by low execution speeds on Microcontroller Units (MCUs) and Instruction Set Architecture (ISA) translation overheads in emulators.

SURGEON provides a performant, flexible, and accurate rehosting approach for dynamic analysis of embedded firmware. We introduce transplantation to transform binary, embedded firmware into a Linux user space process executing natively on compatible high-performance systems through static binary rewriting. In addition to the achieved performance improvements, SURGEON scales horizontally through process instantiation and provides the flexibility to apply existing dynamic analysis tooling for user space processes without requiring adaptations to firmware-specific use cases. SURGEON’s key use cases include debugging binary firmware with off-the-shelf tooling for user space processes and fuzz testing.

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WIP: Security Vulnerabilities and Attack Scenarios in Smart Home...

Haoqiang Wang (Chinese Academy of Sciences, University of Chinese Academy of Sciences, Indiana University Bloomington), Yichen Liu (Indiana University Bloomington), Yiwei Fang, Ze Jin, Qixu Liu (Chinese Academy of Sciences, University of Chinese Academy of Sciences, Indiana University Bloomington), Luyi Xing (Indiana University Bloomington)

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Separation is Good: A Faster Order-Fairness Byzantine Consensus

Ke Mu (Southern University of Science and Technology, China), Bo Yin (Changsha University of Science and Technology, China), Alia Asheralieva (Loughborough University, UK), Xuetao Wei (Southern University of Science and Technology, China & Guangdong Provincial Key Laboratory of Brain-inspired Intelligent Computation, SUSTech, China)

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AnonPSI: An Anonymity Assessment Framework for PSI

Bo Jiang (TikTok Inc.), Jian Du (TikTok Inc.), Qiang Yan (TikTok Inc.)

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A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired...

Kimberly Redmond (University of South Carolina), Lannan Luo (University of South Carolina), Qiang Zeng (University of South Carolina)

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Privacy Starts with UI: Privacy Patterns and Designer Perspectives in UI/UX Practice

Anxhela Maloku (Technical University of Munich), Alexandra Klymenko (Technical University of Munich), Stephen Meisenbacher (Technical University of Munich), Florian Matthes (Technical University of Munich)

Vision: Profiling Human Attackers: Personality and Behavioral Patterns in Deceptive Multi-Stage CTF Challenges

Khalid Alasiri (School of Computing and Augmented Intelligence Arizona State University), Rakibul Hasan (School of Computing and Augmented Intelligence Arizona State University)

From Underground to Mainstream Marketplaces: Measuring AI-Enabled NSFW Deepfakes on Fiverr

Mohamed Moustafa Dawoud (University of California, Santa Cruz), Alejandro Cuevas (Princeton University), Ram Sundara Raman (University of California, Santa Cruz)