Cover Image

ORCAS: Obfuscation-Resilient Binary Code Similarity Analysis using Dominance Enhanced Semantic Graph

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yufeng, Feng, Yuhong, Cao, Yixuan, Li, Haoran, Feng, Haiyue, Wang, Yifeng
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Tech-ASan: Two-stage check for Address Sanitizer
by: Cao, Yixuan, et al.
Published: (2025)

KEENHash: Hashing Programs into Function-Aware Embeddings for Large-Scale Binary Code Similarity Analysis
by: Liu, Zhijie, et al.
Published: (2025)

BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search
by: Wang, Yongpan, et al.
Published: (2024)

Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery
by: Ahmad, Iftakhar, et al.
Published: (2024)

CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection
by: Wang, Hao, et al.
Published: (2024)

Cross-Inlining Binary Function Similarity Detection
by: Jia, Ang, et al.
Published: (2024)

From Obfuscated to Obvious: A Comprehensive JavaScript Deobfuscation Tool for Security Analysis
by: Zhou, Dongchao, et al.
Published: (2025)

Residual Risk Analysis in Benign Code: How Far Are We? A Multi-Model Semantic and Structural Similarity Approach
by: Farhad, Mohammad, et al.
Published: (2026)

A Large Scale Study of AI-based Binary Function Similarity Detection Techniques for Security Researchers and Practitioners
by: Shi, Jingyi, et al.
Published: (2025)

SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code
by: Dai, Han, et al.
Published: (2026)

Harnessing the Power of LLM to Support Binary Taint Analysis
by: Liu, Puzhuo, et al.
Published: (2023)

KVerus: Scalable and Resilient Formal Verification Proof Generation for Rust Code
by: Liu, Yuwei, et al.
Published: (2026)

Beyond Embeddings: Interpretable Feature Extraction for Binary Code Similarity
by: Gagnon, Charles E., et al.
Published: (2025)

Similar but Patched Code Considered Harmful -- The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them
by: Tan, Zixuan, et al.
Published: (2024)

UniASM: Binary Code Similarity Detection without Fine-tuning
by: Gu, Yeming, et al.
Published: (2022)

CKGFuzzer: LLM-Based Fuzz Driver Generation Enhanced By Code Knowledge Graph
by: Xu, Hanxiang, et al.
Published: (2024)

Hybrid Privacy Policy-Code Consistency Check using Knowledge Graphs and LLMs
by: Mao, Zhenyu, et al.
Published: (2025)

Automating SBOM Generation with Zero-Shot Semantic Similarity
by: Pereira, Devin, et al.
Published: (2024)

A New Framework of Software Obfuscation Evaluation Criteria
by: De Sutter, Bjorn
Published: (2025)

Enhancing Pre-Trained Language Models for Vulnerability Detection via Semantic-Preserving Data Augmentation
by: Qi, Weiliang, et al.
Published: (2024)

An Empirical Study of Code Obfuscation Practices in the Google Play Store
by: Niroshan, Akila, et al.
Published: (2025)

FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
by: Hu, Minghao, et al.
Published: (2025)

BinPRE: Enhancing Field Inference in Binary Analysis Based Protocol Reverse Engineering
by: Jiang, Jiayi, et al.
Published: (2024)

An Empirical Study on the Effectiveness of Large Language Models for Binary Code Understanding
by: Shang, Xiuwei, et al.
Published: (2025)

I Know Who Clones Your Code: Interpretable Smart Contract Similarity Detection
by: Liu, Zhenguang, et al.
Published: (2025)

SABER: Benchmarking Operational Safety of LLM Coding Agents in Stateful Project Workspaces
by: Hu, Qi, et al.
Published: (2026)

Accurate and Extensible Symbolic Execution of Binary Code based on Formal ISA Semantics
by: Tempel, Sören, et al.
Published: (2024)

Veritas: A Semantically Grounded Agentic Framework for Memory Corruption Vulnerability Detection in Binaries
by: Zheng, Xinran, et al.
Published: (2026)

GenDetect: Generalizing Reactive Detection for Resilience Against Imitative DeFi Attack Cascade
by: Cai, Bowen, et al.
Published: (2026)

Semantic Consensus Decoding: Backdoor Defense for Verilog Code Generation
by: Yang, Guang, et al.
Published: (2026)

SAFuzz: Semantic-Guided Adaptive Fuzzing for LLM-Generated Code
by: Yang, Ziyi, et al.
Published: (2026)

How Far Have We Gone in Binary Code Understanding Using Large Language Models
by: Shang, Xiuwei, et al.
Published: (2024)

Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection
by: Xia, Yifan, et al.
Published: (2023)

WildCode: An Empirical Analysis of Code Generated by ChatGPT
by: Khanmohammadi, Kobra, et al.
Published: (2025)

SAVANT: Vulnerability Detection in Application Dependencies through Semantic-Guided Reachability Analysis
by: Lingxiang, Wang, et al.
Published: (2025)

Clawdrain: Exploiting Tool-Calling Chains for Stealthy Token Exhaustion in OpenClaw Agents
by: Dong, Ben, et al.
Published: (2026)

MCGMark: An Encodable and Robust Online Watermark for Tracing LLM-Generated Malicious Code
by: Ning, Kaiwen, et al.
Published: (2024)

FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
by: Song, Shiwen, et al.
Published: (2025)

Models Are Codes: Towards Measuring Malicious Code Poisoning Attacks on Pre-trained Model Hubs
by: Zhao, Jian, et al.
Published: (2024)

Building Call Graph of WebAssembly Programs via Abstract Semantics
by: Paccamiccio, Mattia, et al.
Published: (2024)