collaborators

5 papers

cs.CR2026

A Core-Structure-Based Automated Analysis Tool for Commercial Virtualization Obfuscation Deobfuscation

Wanju Kim, Seoksu Lee, Eun-Sun Cho

Virtualization obfuscation is a more powerful obfuscation technique compared to other obfuscation methods, and as it is increasingly being applied to malware, it demands significan…

cs.CR2026

Towards LLM-Based Analysis of Virtualization-Obfuscated Code through Automated Data Generation

Sangjun An, Hyeyeon Park, Yejin Son +2

Virtualization-based obfuscation produces extremely large and structurally complex binaries, posing challenges for LLM-based analysis due to input size limits and the need for larg…

cs.CR2026

Scrambler: Mixed Boolean Arithmetic Obfuscation Tool Using E-graph and Equality Expansion

Seoksu Lee, Sangjun An, Eun-Sun Cho

We propose Scrambler, and e-graph-based MBA obfuscation tool using Equality Expansion to efficiently generate complex and diverse expressions with equivalence guaranteed by constru…

cs.CR2026

Static Detection of Core Structures in Tigress Virtualization-Based Obfuscation Using an LLVM Pass

Sangjun An, Seoksu Lee, Eun-Sun Cho

Malware often uses obfuscation to hinder security analysis. Among these techniques, virtualization-based obfuscation is particularly strong because it protects programs by translat…

cs.CR2024

Simplifying MBA Expression Using E-Graphs

Seoksu Lee, Hyeongchang Jeon, Eun-Sun Cho

Code obfuscation involves the addition of meaningless code or the complication of existing code in order to make a program difficult to reverse engineer. In recent years, MBA (Mixe…