Cover Image

Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Zexu, Chen, Jiachi, Zheng, Zibin, Zheng, Peilin, Zhang, Yu, Zhang, Weizhe
Format:	Preprint
Published:	2024
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

Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts
by: Yang, Shuo, et al.
Published: (2024)

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

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

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

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

FORGE: An LLM-driven Framework for Large-Scale Smart Contract Vulnerability Dataset Construction
by: Chen, Jiachi, et al.
Published: (2025)

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

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

ChainFuzzer: Greybox Fuzzing for Workflow-Level Multi-Tool Vulnerabilities in LLM Agents
by: Wu, Jiangrong, et al.
Published: (2026)

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

Reentrancy Detection in the Age of LLMs
by: Ressi, Dalila, et al.
Published: (2026)

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

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

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

An Empirical Study on the Security Vulnerabilities of GPTs
by: Wu, Tong, et al.
Published: (2025)

Vulnerability-Hunter: An Adaptive Feature Perception Attention Network for Smart Contract Vulnerabilities
by: Chen, Yizhou
Published: (2024)

RealSec-bench: A Benchmark for Evaluating Secure Code Generation in Real-World Repositories
by: Wang, Yanlin, et al.
Published: (2026)

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

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

Assessing Vulnerability in Smart Contracts: The Role of Code Complexity Metrics in Security Analysis
by: Tehrani, Masoud Jamshidiyan
Published: (2024)

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

Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation
by: Yu, Lei, et al.
Published: (2024)

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

RiskTagger: An LLM-based Agent for Automatic Annotation of Web3 Crypto Money Laundering Behaviors
by: Lin, Dan, et al.
Published: (2025)

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

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

OpenSCV: An Open Hierarchical Taxonomy for Smart Contract Vulnerabilities
by: Vidal, Fernando Richter, et al.
Published: (2023)

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

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

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

SmartPoC: Generating Executable and Validated PoCs for Smart Contract Bug Reports
by: Chen, Longfei, et al.
Published: (2025)

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

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

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)

Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?
by: Chaliasos, Stefanos, et al.
Published: (2023)

Smart Cuts: Enhance Active Learning for Vulnerability Detection by Pruning Hard-to-Learn Data
by: Lan, Xiang, et al.
Published: (2025)

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

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

SmartReco: Detecting Read-Only Reentrancy via Fine-Grained Cross-DApp Analysis
by: Zhang, Jingwen, et al.
Published: (2024)

Copy-and-Paste? Identifying EVM-Inequivalent Code Smells in Multi-chain Reuse Contracts
by: Wang, Zexu, et al.
Published: (2025)