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Sungjae Hwang

Publications and source records attributed to Sungjae Hwang.

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The Evolution of Binary Decompilation in the Modern Era: A Taxonomy, Literature Review, and Future Perspectives

Decompilation has become a foundational technique in software engineering and security analysis, and it is now advancing through the integration of modern machine learning (ML) approaches. This article presents a systematic review of decompilation studies published over the past decades and develops a comprehensive taxonomy of methodologies employed in contemporary research. We further examine trends in evaluation metrics, tools, and benchmarks used to assess state-of-the-art approaches. Our review reveals key challenges, such as the lack of reliable ground truth and the absence of standardized benchmarks, which hinder rigorous comparison. Finally, we outline future research directions.

cs.SE

SpecTrum: Specification-Guided Differential Fuzzing for Ethereum Consensus Clients

Ethereum's consensus safety relies on independent consensus client implementations agreeing on every state transition. When they diverge due to implementation errors, the network can fork, finality can stall, and severe attacks are possible. To prevent such consensus divergences, Ethereum provides a Python reference implementation (consensus-spec), which acts as a specification, and a hand-crafted official test suite (spectests). However, as an executable implementation, Ethereum's specification defines validity implicitly through runtime behavior. As a result, it lacks a systematic way to ensure that all validity conditions are thoroughly evaluated. We present SpecTrum, a framework that addresses this problem in three stages. First, we introduce Consensus-SpecTec, a mechanized specification of the Ethereum consensus algorithm, which makes validity conditions explicit as if-premises. Second, we define premise coverage, a metric that measures which if-premises are evaluated to true and false across spectests. Third, we develop a specification-based test generator that extracts constraints on premises not evaluated to false by spectests and generates inputs to evaluate them. Applying SpecTrum to five major Ethereum consensus clients, we identify 27 cross-client divergence cases, 22 of which cannot be found without the premises inserted in our mechanization. All 27 cases reproduce across fork versions, and extending the mechanized specification to a new fork takes modest effort proportional to the specification difference.

cs.SE

Forensic analysis of video data deletion and recovery in Honeywell surveillance file system

Real-time video surveillance systems store recorded video using digital video recorders (DVRs) and network video recorders (NVRs). To support continuous high-volume video storage, these devices employ specialized, nonstandard file systems that are often proprietary and undocumented. This lack of documentation significantly increases the time and effort required for forensic analysis. In this study, we analyze an undocumented proprietary file system used by Honeywell video surveillance devices-one that, to the best of our knowledge, has not been examined in prior work-and investigate its deletion mechanisms and demonstrate the feasibility of video recovery after deletion. We perform a file system analysis using a binary diffing technique and evaluate three deletion methods supported by the target device: 1) formatting-based deletion, 2) data expiration, and 3) overwrite. For each method, we investigate changes in file system metadata and on-disk data structures and demonstrate the feasibility of video data recovery. Our findings aim to support more efficient and accurate forensic investigations of Honeywell surveillance products and provide foundational insights into the analysis of proprietary file systems used in video recording devices.

cs.CR