SCRIBE: Practical Static Binary Patching via Binary-Aware Recompilation of Decompiled Code
Fuente:
arXiv
Saved in:
| Main Authors: | Dai, Han, Priyadarshan, Soumyakant, Imran, Abdullah, Wang, Ruoyu, Bianchi, Antonio |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
by: Zou, Muqi, et al.
Published: (2025)
by: Zou, Muqi, et al.
Published: (2025)
CODEFUSE-DEBENCH: An Empirical Study on Readability, Recompilability, and Functionality
by: Liu, Puzhuo, et al.
Published: (2026)
by: Liu, Puzhuo, et al.
Published: (2026)
PPT4J: Patch Presence Test for Java Binaries
by: Pan, Zhiyuan, et al.
Published: (2023)
by: Pan, Zhiyuan, et al.
Published: (2023)
Idioms: Neural Decompilation With Joint Code and Type Definition Prediction
by: Dramko, Luke, et al.
Published: (2025)
by: Dramko, Luke, 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)
by: Liu, Zhijie, et al.
Published: (2025)
Empirical Study of Code Large Language Models for Binary Security Patch Detection
by: Li, Qingyuan, et al.
Published: (2025)
by: Li, Qingyuan, et al.
Published: (2025)
CodableLLM: Automating Decompiled and Source Code Mapping for LLM Dataset Generation
by: Manuel, Dylan, et al.
Published: (2025)
by: Manuel, Dylan, et al.
Published: (2025)
CEBin: A Cost-Effective Framework for Large-Scale Binary Code Similarity Detection
by: Wang, Hao, et al.
Published: (2024)
by: Wang, Hao, et al.
Published: (2024)
StriderSPD: Structure-Guided Joint Representation Learning for Binary Security Patch Detection
by: Li, Qingyuan, et al.
Published: (2026)
by: Li, Qingyuan, et al.
Published: (2026)
Unsupervised Binary Code Translation with Application to Code Similarity Detection and Vulnerability Discovery
by: Ahmad, Iftakhar, et al.
Published: (2024)
by: Ahmad, Iftakhar, et al.
Published: (2024)
Match & Mend: Minimally Invasive Local Reassembly for Patching N-day Vulnerabilities in ARM Binaries
by: Jänich, Sebastian, et al.
Published: (2025)
by: Jänich, Sebastian, et al.
Published: (2025)
VulCatch: Enhancing Binary Vulnerability Detection through CodeT5 Decompilation and KAN Advanced Feature Extraction
by: Chukkol, Abdulrahman Hamman Adama, et al.
Published: (2024)
by: Chukkol, Abdulrahman Hamman Adama, 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)
by: Shang, Xiuwei, et al.
Published: (2025)
ORCAS: Obfuscation-Resilient Binary Code Similarity Analysis using Dominance Enhanced Semantic Graph
by: Wang, Yufeng, et al.
Published: (2025)
by: Wang, Yufeng, et al.
Published: (2025)
BinEnhance: An Enhancement Framework Based on External Environment Semantics for Binary Code Search
by: Wang, Yongpan, et al.
Published: (2024)
by: Wang, Yongpan, et al.
Published: (2024)
FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
by: Zhou, Zhiping, et al.
Published: (2025)
by: Zhou, Zhiping, et al.
Published: (2025)
FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
by: Hu, Minghao, et al.
Published: (2025)
by: Hu, Minghao, et al.
Published: (2025)
How Far Have We Gone in Binary Code Understanding Using Large Language Models
by: Shang, Xiuwei, et al.
Published: (2024)
by: Shang, Xiuwei, et al.
Published: (2024)
Cross-Inlining Binary Function Similarity Detection
by: Jia, Ang, et al.
Published: (2024)
by: Jia, Ang, et al.
Published: (2024)
Unveiling Dynamic Binary Instrumentation Techniques
by: Llorente-Vazquez, Oscar, et al.
Published: (2025)
by: Llorente-Vazquez, Oscar, et al.
Published: (2025)
Harnessing the Power of LLM to Support Binary Taint Analysis
by: Liu, Puzhuo, et al.
Published: (2023)
by: Liu, Puzhuo, et al.
Published: (2023)
Assessing the Effectiveness of Binary-Level CFI Techniques
by: Vaidya, Ruturaj K., et al.
Published: (2024)
by: Vaidya, Ruturaj K., et al.
Published: (2024)
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)
by: Tan, Zixuan, et al.
Published: (2024)
Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent
by: Xuan, Zhou, et al.
Published: (2026)
by: Xuan, Zhou, et al.
Published: (2026)
Patch2QL: Discover Cognate Defects in Open Source Software Supply Chain With Auto-generated Static Analysis Rules
by: Wang, Fuwei, et al.
Published: (2024)
by: Wang, Fuwei, et al.
Published: (2024)
An Investigation of Patch Porting Practices of the Linux Kernel Ecosystem
by: Li, Xingyu, et al.
Published: (2024)
by: Li, Xingyu, et al.
Published: (2024)
On the Adversarial Robustness of Instruction-Tuned Large Language Models for Code
by: Hossen, Md Imran, et al.
Published: (2024)
by: Hossen, Md Imran, et al.
Published: (2024)
Beyond Embeddings: Interpretable Feature Extraction for Binary Code Similarity
by: Gagnon, Charles E., et al.
Published: (2025)
by: Gagnon, Charles E., et al.
Published: (2025)
SeeWasm: An Efficient and Fully-Functional Symbolic Execution Engine for WebAssembly Binaries
by: He, Ningyu, et al.
Published: (2024)
by: He, Ningyu, et al.
Published: (2024)
FuzzBox: Blending Fuzzing into Emulation for Binary-Only Embedded Targets
by: Cesarano, Carmine, et al.
Published: (2025)
by: Cesarano, Carmine, et al.
Published: (2025)
MALSIGHT: Exploring Malicious Source Code and Benign Pseudocode for Iterative Binary Malware Summarization
by: Lu, Haolang, et al.
Published: (2024)
by: Lu, Haolang, et al.
Published: (2024)
UniASM: Binary Code Similarity Detection without Fine-tuning
by: Gu, Yeming, et al.
Published: (2022)
by: Gu, Yeming, et al.
Published: (2022)
A Slicing-Based Approach for Detecting and Patching Vulnerable Code Clones
by: Alomari, Hakam, et al.
Published: (2025)
by: Alomari, Hakam, et al.
Published: (2025)
PatchFuzz: Patch Fuzzing for JavaScript Engines
by: Wang, Junjie, et al.
Published: (2025)
by: Wang, Junjie, et al.
Published: (2025)
Accurate and Extensible Symbolic Execution of Binary Code based on Formal ISA Semantics
by: Tempel, Sören, et al.
Published: (2024)
by: Tempel, Sören, et al.
Published: (2024)
Large Language Models for Code Analysis: Do LLMs Really Do Their Job?
by: Fang, Chongzhou, et al.
Published: (2023)
by: Fang, Chongzhou, et al.
Published: (2023)
Veritas: A Semantically Grounded Agentic Framework for Memory Corruption Vulnerability Detection in Binaries
by: Zheng, Xinran, et al.
Published: (2026)
by: Zheng, Xinran, et al.
Published: (2026)
BinPRE: Enhancing Field Inference in Binary Analysis Based Protocol Reverse Engineering
by: Jiang, Jiayi, et al.
Published: (2024)
by: Jiang, Jiayi, et al.
Published: (2024)
Decaf: Improving Neural Decompilation with Automatic Feedback and Search
by: Shypula, Alexander, et al.
Published: (2026)
by: Shypula, Alexander, et al.
Published: (2026)
Fast, Fine-Grained Equivalence Checking for Neural Decompilers
by: Dramko, Luke, et al.
Published: (2025)
by: Dramko, Luke, et al.
Published: (2025)
Similar Items
-
D-LiFT: Improving LLM-based Decompiler Backend via Code Quality-driven Fine-tuning
by: Zou, Muqi, et al.
Published: (2025) -
CODEFUSE-DEBENCH: An Empirical Study on Readability, Recompilability, and Functionality
by: Liu, Puzhuo, et al.
Published: (2026) -
PPT4J: Patch Presence Test for Java Binaries
by: Pan, Zhiyuan, et al.
Published: (2023) -
Idioms: Neural Decompilation With Joint Code and Type Definition Prediction
by: Dramko, Luke, 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)