Copertina

Belobog: Move Language Fuzzing Framework For Real-World Smart Contracts

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Kong, Ziqiao, Xia, Wanxu, Li, Zhengwei, Lu, Yi, Li, Pan, Yang, Liqun, Liu, Yang, Luo, Xiapu, Li, Shaohua
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Cryptography and Security Programming Languages Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
di: Kong, Ziqiao, et al.
Pubblicazione: (2026)

Smart Contract Fuzzing Towards Profitable Vulnerabilities
di: Kong, Ziqiao, et al.
Pubblicazione: (2025)

SAND: Decoupling Sanitization from Fuzzing for Low Overhead
di: Kong, Ziqiao, et al.
Pubblicazione: (2024)

LLM4Fuzz: Guided Fuzzing of Smart Contracts with Large Language Models
di: Shou, Chaofan, et al.
Pubblicazione: (2024)

ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts
di: Wang, Che, et al.
Pubblicazione: (2024)

All Your Tokens are Belong to Us: Demystifying Address Verification Vulnerabilities in Solidity Smart Contracts
di: Sun, Tianle, et al.
Pubblicazione: (2024)

LLAMA: Multi-Feedback Smart Contract Fuzzing Framework with LLM-Guided Seed Generation
di: Gai, Keke, et al.
Pubblicazione: (2025)

Multi-Agent Collaborative Fuzzing with Continuous Reflection for Smart Contracts Vulnerability Detection
di: Chen, Jie, et al.
Pubblicazione: (2025)

MirrorFuzz: Leveraging LLM and Shared Bugs for Deep Learning Framework APIs Fuzzing
di: Ou, Shiwen, et al.
Pubblicazione: (2025)

Scheduzz: Constraint-based Fuzz Driver Generation with Dual Scheduling
di: Li, Yan, et al.
Pubblicazione: (2025)

Triggering and Detecting Exploitable Library Vulnerability from the Client by Directed Greybox Fuzzing
di: Zhao, Yukai, et al.
Pubblicazione: (2026)

BandFuzz: An ML-powered Collaborative Fuzzing Framework
di: Shi, Wenxuan, et al.
Pubblicazione: (2025)

DogeFuzz: A Simple Yet Efficient Grey-box Fuzzer for Ethereum Smart Contracts
di: Medeiros, Ismael, et al.
Pubblicazione: (2024)

Detecting Malicious Intents in Smart Contracts with Pre-trained Programming Language Models
di: Huang, Youwei, et al.
Pubblicazione: (2025)

SmartIntentNN: Towards Smart Contract Intent Detection
di: Huang, Youwei, et al.
Pubblicazione: (2022)

An Empirical Study on the Distance Metric in Guiding Directed Grey-box Fuzzing
di: Wen, Tingke, et al.
Pubblicazione: (2024)

MobFuzz: Adaptive Multi-objective Optimization in Gray-box Fuzzing
di: Zhang, Gen, et al.
Pubblicazione: (2024)

FDI: Attack Neural Code Generation Systems through User Feedback Channel
di: Sun, Zhensu, et al.
Pubblicazione: (2024)

LibScan: Smart Contract Library Misuse Detection with Iterative Feedback and Static Verification
di: Wang, Yishun, et al.
Pubblicazione: (2026)

Demystifying Invariant Effectiveness for Securing Smart Contracts
di: Chen, Zhiyang, et al.
Pubblicazione: (2024)

MoveScanner: Analysis of Security Risks of Move Smart Contracts
di: Luo, Yuhe, et al.
Pubblicazione: (2025)

ACFIX: Guiding LLMs with Mined Common RBAC Practices for Context-Aware Repair of Access Control Vulnerabilities in Smart Contracts
di: Zhang, Lyuye, et al.
Pubblicazione: (2024)

EvoPoC: Automated Exploit Synthesis for DeFi Smart Contracts via Hierarchical Knowledge Graphs
di: Liang, Ruichao, et al.
Pubblicazione: (2026)

SmartInv: Multimodal Learning for Smart Contract Invariant Inference
di: Wang, Sally Junsong, et al.
Pubblicazione: (2024)

BPMN to Smart Contract by Business Analyst
di: Liu, C. G., et al.
Pubblicazione: (2025)

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection
di: Yu, Lei, et al.
Pubblicazione: (2025)

HarnessAgent: Scaling Automatic Fuzzing Harness Construction with Tool-Augmented LLM Pipelines
di: Yang, Kang, et al.
Pubblicazione: (2025)

Prompt Fuzzing for Fuzz Driver Generation
di: Lyu, Yunlong, et al.
Pubblicazione: (2023)

SmartShift: A Secure and Efficient Approach to Smart Contract Migration
di: Hossain, Tahrim, et al.
Pubblicazione: (2025)

Zero-Shot Vulnerability Detection in Low-Resource Smart Contracts Through Solidity-Only Training
di: Hu, Minghao, et al.
Pubblicazione: (2026)

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
di: Yu, Lei, et al.
Pubblicazione: (2025)

PatchFuzz: Patch Fuzzing for JavaScript Engines
di: Wang, Junjie, et al.
Pubblicazione: (2025)

Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts
di: Zhang, Jiashuo, et al.
Pubblicazione: (2024)

Impact of Code Transformation on Detection of Smart Contract Vulnerabilities
di: Manh, Cuong Tran, et al.
Pubblicazione: (2024)

On-Chain Analysis of Smart Contract Dependency Risks on Ethereum
di: Jin, Monica, et al.
Pubblicazione: (2025)

Securing Smart Contract Languages with a Unified Agentic Framework for Vulnerability Repair in Solidity and Move
di: Karanjai, Rabimba, et al.
Pubblicazione: (2025)

SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection
di: Su, Jianzhong, et al.
Pubblicazione: (2024)

Towards Secure and Explainable Smart Contract Generation with Security-Aware Group Relative Policy Optimization
di: Yu, Lei, et al.
Pubblicazione: (2025)

FuzzAgent: Multi-Agent System for Evolutionary Library Fuzzing
di: Lyu, Yunlong, et al.
Pubblicazione: (2026)

Fuzzing Frameworks for Server-side Web Applications: A Survey
di: Dharmaadi, I Putu Arya, et al.
Pubblicazione: (2024)