Copertina

SmartReco: Detecting Read-Only Reentrancy via Fine-Grained Cross-DApp Analysis

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Jingwen, Zheng, Zibin, Nan, Yuhong, Ye, Mingxi, Ning, Kaiwen, Zhang, Yu, Zhang, Weizhe
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Software Engineering
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

V2E: Validating Smart Contract Vulnerabilities through Profit-driven Exploit Generation and Execution
di: Zhang, Jingwen, et al.
Pubblicazione: (2026)

DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects
di: Zheng, Zibin, et al.
Pubblicazione: (2023)

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

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

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

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

ParityFuzz: Finding Inconsistencies across Solidity Compilers via Fine-Grained Mutation and Differential Analysis
di: Su, Bowei, et al.
Pubblicazione: (2026)

A Survey of Large Language Models for Code: Evolution, Benchmarking, and Future Trends
di: Zheng, Zibin, et al.
Pubblicazione: (2023)

Defining and Detecting the Defects of the Large Language Model-based Autonomous Agents
di: Ning, Kaiwen, et al.
Pubblicazione: (2024)

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

Augmenting Smart Contract Decompiler Output through Fine-grained Dependency Analysis and LLM-facilitated Semantic Recovery
di: Liao, Zeqin, et al.
Pubblicazione: (2025)

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

Is My RPC Response Reliable? Detecting RPC Bugs in Ethereum Blockchain Client under Context
di: Zhong, Zhijie, et al.
Pubblicazione: (2026)

SSR: Safeguarding Staking Rewards by Defining and Detecting Logical Defects in DeFi Staking
di: Lin, Zewei, et al.
Pubblicazione: (2026)

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

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

Hyperion: Unveiling DApp Inconsistencies using LLM and Dataflow-Guided Symbolic Execution
di: Yang, Shuo, et al.
Pubblicazione: (2024)

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

CRPWarner: Warning the Risk of Contract-related Rug Pull in DeFi Smart Contracts
di: Lin, Zewei, et al.
Pubblicazione: (2024)

AgentRaft: Automated Detection of Data Over-Exposure in LLM Agents
di: Lin, Yixi, et al.
Pubblicazione: (2026)

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

CONNECTOR: Enhancing the Traceability of Decentralized Bridge Applications via Automatic Cross-chain Transaction Association
di: Lin, Dan, et al.
Pubblicazione: (2024)

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

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

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

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

An Initial Exploration of Fine-tuning Small Language Models for Smart Contract Reentrancy Vulnerability Detection
di: Pofcher, Ignacio Mariano Andreozzi, et al.
Pubblicazione: (2025)

A Hierarchical and Evolvable Benchmark for Fine-Grained Code Instruction Following with Multi-Turn Feedback
di: Duan, Guoliang, et al.
Pubblicazione: (2025)

An Empirical Study on Embodied Artificial Intelligence Robot (EAIR) Software Bugs
di: Liao, Zeqin, et al.
Pubblicazione: (2025)

An Empirical Study of ChatGPT-Related Projects and Their Issues on GitHub
di: Lin, Zheng, et al.
Pubblicazione: (2024)

Towards an Understanding of Large Language Models in Software Engineering Tasks
di: Zheng, Zibin, et al.
Pubblicazione: (2023)

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models
di: Guo, Hanyang, et al.
Pubblicazione: (2025)

W2E (Workout to Earn): A Low Cost DApp based on ERC-20 and ERC-721 standards
di: Son, Do Hai, et al.
Pubblicazione: (2024)

LogPrism: Unifying Structure and Variable Encoding for Effective Log Compression
di: Liu, Yang, et al.
Pubblicazione: (2026)

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

STEPWISE-CODEX-Bench: Evaluating Complex Multi-Function Comprehension and Fine-Grained Execution Reasoning
di: Yan, Kaiwen, et al.
Pubblicazione: (2025)

Automated Invariant Generation for Solidity Smart Contracts
di: Liu, Ye, et al.
Pubblicazione: (2024)

Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow
di: Chen, Jiachi, et al.
Pubblicazione: (2024)

HumanEvo: An Evolution-aware Benchmark for More Realistic Evaluation of Repository-level Code Generation
di: Zheng, Dewu, et al.
Pubblicazione: (2024)

Are Decoder-Only Large Language Models the Silver Bullet for Code Search?
di: Chen, Yuxuan, et al.
Pubblicazione: (2024)