Image de couverture de livre

LogicScan: An LLM-driven Framework for Detecting Business Logic Vulnerabilities in Smart Contracts

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Gao, Jiaqi, Zhang, Zijian, Sun, Yuqiang, Liu, Ye, Liu, Chengwei, Liu, Han, Li, Yi, Liu, Yang
Format:	Preprint
Publié:	2026
Sujets:	Cryptography and Security
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
par: Sun, Yuqiang, et autres
Publié: (2023)

LLM-BSCVM: An LLM-Based Blockchain Smart Contract Vulnerability Management Framework
par: Jin, Yanli, et autres
Publié: (2025)

LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection
par: Wei, Zhiyuan, et autres
Publié: (2024)

Logic Meets Magic: LLMs Cracking Smart Contract Vulnerabilities
par: Xiao, ZeKe, et autres
Publié: (2025)

Smart Contract Fuzzing Towards Profitable Vulnerabilities
par: Kong, Ziqiao, et autres
Publié: (2025)

SmartGraphical: A Human-in-the-Loop Framework for Detecting Smart Contract Logical Vulnerabilities via Pattern-Driven Static Analysis and Visual Abstraction
par: Fattahdizaji, Ali, et autres
Publié: (2026)

HighGuard: Cross-Chain Business Logic Monitoring of Smart Contracts
par: Eshghie, Mojtaba, et autres
Publié: (2023)

Generative Large Language Model usage in Smart Contract Vulnerability Detection
par: Ince, Peter, et autres
Publié: (2025)

MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
par: Sun, Guokai, et autres
Publié: (2025)

Soley: Identification and Automated Detection of Logic Vulnerabilities in Ethereum Smart Contracts Using Large Language Models
par: Soud, Majd, et autres
Publié: (2024)

CKG-LLM: LLM-Assisted Detection of Smart Contract Access Control Vulnerabilities Based on Knowledge Graphs
par: Li, Xiaoqi, et autres
Publié: (2025)

Detect Llama -- Finding Vulnerabilities in Smart Contracts using Large Language Models
par: Ince, Peter, et autres
Publié: (2024)

SmartLLMSentry: A Comprehensive LLM Based Smart Contract Vulnerability Detection Framework
par: Zaazaa, Oualid, et autres
Publié: (2024)

Enhancing Smart Contract Vulnerability Detection in DApps Leveraging Fine-Tuned LLM
par: Bu, Jiuyang, et autres
Publié: (2025)

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

BPMN to Smart Contract by Business Analyst
par: Liu, C. G., et autres
Publié: (2025)

Interaction-Aware Vulnerability Detection in Smart Contract Bytecodes
par: Li, Wenkai, et autres
Publié: (2024)

Do Fine-Tuned LLMs Understand Vulnerabilities? An Investigation into the Semantic Trap
par: Huang, Feiyang, et autres
Publié: (2026)

ContractTinker: LLM-Empowered Vulnerability Repair for Real-World Smart Contracts
par: Wang, Che, et autres
Publié: (2024)

LLM4Vuln: A Unified Evaluation Framework for Decoupling and Enhancing LLMs' Vulnerability Reasoning
par: Sun, Yuqiang, et autres
Publié: (2024)

Evaluating the Vulnerability Landscape of LLM-Generated Smart Contracts
par: Do, Hoang Long, et autres
Publié: (2026)

Knowledge Migration Framework for Smart Contract Vulnerability Detection
par: Wang, Luqi, et autres
Publié: (2024)

Examining the Effectiveness of Transformer-Based Smart Contract Vulnerability Scan
par: Balci, Emre, et autres
Publié: (2026)

SmartBugBert: BERT-Enhanced Vulnerability Detection for Smart Contract Bytecode
par: Bu, Jiuyang, et autres
Publié: (2025)

ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
par: Huang, Tenghui, et autres
Publié: (2025)

Knowdit: Agentic Smart Contract Vulnerability Detection with Auditing Knowledge Summarization
par: Kong, Ziqiao, et autres
Publié: (2026)

Anota: Identifying Business Logic Vulnerabilities via Annotation-Based Sanitization
par: Wang, Meng, et autres
Publié: (2025)

SCRUTINEER: Detecting Logic-Level Usage Violations of Reusable Components in Smart Contracts
par: Lin, Xingshuang, et autres
Publié: (2025)

ExDoS: Expert-Guided Dual-Focus Cross-Modal Distillation for Smart Contract Vulnerability Detection
par: Tian, Ye, et autres
Publié: (2025)

Decoupling Reentrancy Protection from Smart Contract Implementation Logic
par: Joshi, Shashank, et autres
Publié: (2026)

Adaptive Plan-Execute Framework for Smart Contract Security Auditing
par: Wei, Zhiyuan, et autres
Publié: (2025)

Prompt Engineering vs. Fine-Tuning for LLM-Based Vulnerability Detection in Solana and Algorand Smart Contracts
par: Boi, Biagio, et autres
Publié: (2025)

Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection
par: Chen, Yizhou, et autres
Publié: (2024)

Exploring Vulnerabilities and Concerns in Solana Smart Contracts
par: Wu, Xiangfan, et autres
Publié: (2025)

ETrace:Event-Driven Vulnerability Detection in Smart Contracts via LLM-Based Trace Analysis
par: Peng, Chenyang, et autres
Publié: (2025)

Impact of Code Transformation on Detection of Smart Contract Vulnerabilities
par: Manh, Cuong Tran, et autres
Publié: (2024)

Vulnerability Detection in Smart Contracts: A Comprehensive Survey
par: De Baets, Christopher, et autres
Publié: (2024)

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection
par: Hossain, S M Mostaq, et autres
Publié: (2025)

TaintSentinel: Path-Level Randomness Vulnerability Detection for Ethereum Smart Contracts
par: Rezaei, Hadis, et autres
Publié: (2025)

Tailored Prompts, Targeted Protection: Vulnerability-Specific LLM Analysis for Smart Contracts
par: Zhang, Xing, et autres
Publié: (2026)