Cover Image

Detecting State Manipulation Vulnerabilities in Smart Contracts Using LLM and Static Analysis

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wu, Hao, Wang, Haijun, Li, Shangwang, Wu, Yin, Fan, Ming, Zhao, Yitao, Liu, Ting
Format:	Preprint
Published:	2025
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ETrace:Event-Driven Vulnerability Detection in Smart Contracts via LLM-Based Trace Analysis
by: Peng, Chenyang, et al.
Published: (2025)

RPHunter: Unveiling Rug Pull Schemes in Crypto Token via Code-and-Transaction Fusion Analysis
by: Wu, Hao, et al.
Published: (2025)

SmartAxe: Detecting Cross-Chain Vulnerabilities in Bridge Smart Contracts via Fine-Grained Static Analysis
by: Liao, Zeqin, et al.
Published: (2024)

Smart Contract Vulnerability Detection based on Static Analysis and Multi-Objective Search
by: Li, Dongcheng, et al.
Published: (2024)

Vulseye: Detect Smart Contract Vulnerabilities via Stateful Directed Graybox Fuzzing
by: Liang, Ruichao, et al.
Published: (2024)

SmartState: Detecting State-Reverting Vulnerabilities in Smart Contracts via Fine-Grained State-Dependency Analysis
by: Liao, Zeqin, et al.
Published: (2024)

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining GPT with Program Analysis
by: Sun, Yuqiang, et al.
Published: (2023)

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

Understanding Inconsistent State Update Vulnerabilities in Smart Contracts
by: Li, Lantian, et al.
Published: (2025)

Static Application Security Testing (SAST) Tools for Smart Contracts: How Far Are We?
by: Li, Kaixuan, et al.
Published: (2024)

Satellite: Detecting and Analyzing Smart Contract Vulnerabilities caused by Subcontract Misuse
by: Liao, Zeqin, et al.
Published: (2025)

Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts
by: Wang, Zexu, et al.
Published: (2024)

Trace: Securing Smart Contract Repository Against Access Control Vulnerability
by: Chen, Chong, et al.
Published: (2025)

When ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?
by: Chen, Chong, et al.
Published: (2023)

WakeMint: Detecting Sleepminting Vulnerabilities in NFT Smart Contracts
by: Xiao, Lei, et al.
Published: (2025)

Are We There Yet? Unraveling the State-of-the-Art Smart Contract Fuzzers
by: Wu, Shuohan, et al.
Published: (2024)

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

CrossInspector: A Static Analysis Approach for Cross-Contract Vulnerability Detection
by: Chen, Xiao
Published: (2024)

Improving Smart Contract Security with Contrastive Learning-based Vulnerability Detection
by: Chen, Yizhou, et al.
Published: (2024)

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

Enhancing The Open Network: Definition and Automated Detection of Smart Contract Defects
by: Song, Hao, et al.
Published: (2025)

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

StateGuard: Detecting State Derailment Defects in Decentralized Exchange Smart Contract
by: Li, Zongwei, et al.
Published: (2024)

Definition and Detection of Centralization Defects in Smart Contracts
by: Lin, Zewei, et al.
Published: (2024)

Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools
by: Wang, Zexu, et al.
Published: (2024)

Demystifying the Characteristics for Smart Contract Upgrades
by: Liu, Ye, et al.
Published: (2024)

Fixing Smart Contract Vulnerabilities: A Comparative Analysis of Literature and Developer's Practices
by: Salzano, Francesco, et al.
Published: (2024)

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

Combining GPT and Code-Based Similarity Checking for Effective Smart Contract Vulnerability Detection
by: Zhang, Jango
Published: (2024)

IRIS: LLM-Assisted Static Analysis for Detecting Security Vulnerabilities
by: Li, Ziyang, et al.
Published: (2024)

SAGA: Detecting Security Vulnerabilities Using Static Aspect Analysis
by: Marquer, Yoann, et al.
Published: (2026)

Combining Fine-Tuning and LLM-based Agents for Intuitive Smart Contract Auditing with Justifications
by: Ma, Wei, et al.
Published: (2024)

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

MOS: Towards Effective Smart Contract Vulnerability Detection through Mixture-of-Experts Tuning of Large Language Models
by: Yuan, Hang, et al.
Published: (2025)

PrAIoritize: Automated Early Prediction and Prioritization of Vulnerabilities in Smart Contracts
by: Soud, Majd, et al.
Published: (2023)

Smart Contract Vulnerabilities, Tools, and Benchmarks: an Updated Systematic Literature Review
by: Iuliano, Gerardo, et al.
Published: (2024)

WACANA: A Concolic Analyzer for Detecting On-chain Data Vulnerabilities in WASM Smart Contracts
by: Wang, Wansen, et al.
Published: (2024)

One Signature, Multiple Payments: Demystifying and Detecting Signature Replay Vulnerabilities in Smart Contracts
by: Wang, Zexu, et al.
Published: (2025)

PROMFUZZ: Leveraging LLM-Driven and Bug-Oriented Composite Analysis for Detecting Functional Bugs in Smart Contracts
by: Lin, Xingshuang, et al.
Published: (2025)

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