Cover Image

Smart Contract Vulnerabilities, Tools, and Benchmarks: an Updated Systematic Literature Review

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Iuliano, Gerardo, Di Nucci, Dario
Format:	Preprint
Published:	2024
Subjects:	Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Automated Vulnerability Injection in Solidity Smart Contracts: A Mutation-Based Approach for Benchmark Development
by: Iuliano, Gerardo, et al.
Published: (2025)

How Do Solidity Versions Affect Vulnerability Detection Tools? An Empirical Study
by: Iuliano, Gerardo, et al.
Published: (2025)

MuSe: a Mutation Testing Plugin for the Remix IDE
by: Iuliano, Gerardo, et al.
Published: (2026)

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

Data Mesh: a Systematic Gray Literature Review
by: Goedegebuure, Abel, et al.
Published: (2023)

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

Smart Contracts Formal Verification: A Systematic Literature Review
by: Davila, Rene, et al.
Published: (2025)

Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts
by: Wang, Zexu, 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)

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

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

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

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

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

Can Machine Learning Support the Selection of Studies for Systematic Literature Review Updates?
by: Costalonga, Marcelo, et al.
Published: (2025)

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)

Detecting State Manipulation Vulnerabilities in Smart Contracts Using LLM and Static Analysis
by: Wu, Hao, et al.
Published: (2025)

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

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

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

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

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

Emerging Results on Automated Support for Searching and Selecting Evidence for Systematic Literature Review Updates
by: Napoleão, Bianca Minetto, et al.
Published: (2024)

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

Bridging the Gap: A Comparative Study of Academic and Developer Approaches to Smart Contract Vulnerabilities
by: Salzano, Francesco, et al.
Published: (2025)

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

A Preliminary Investigation on the Usage of Quantum Approximate Optimization Algorithms for Test Case Selection
by: Trovato, Antonio, et al.
Published: (2025)

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

Large Language Models Versus Static Code Analysis Tools: A Systematic Benchmark for Vulnerability Detection
by: Gnieciak, Damian, et al.
Published: (2025)

A First Look at the Lifecycle of DL-Specific Self-Admitted Technical Debt
by: Recupito, Gilberto, et al.
Published: (2025)

Automated Mapping of Vulnerability Advisories onto their Fix Commits in Open Source Repositories
by: Hommersom, Daan, et al.
Published: (2021)

AI-Based Software Vulnerability Detection: A Systematic Literature Review
by: Shimmi, Samiha, et al.
Published: (2025)

The Myth of Immutability: A Multivocal Review on Smart Contract Upgradeability
by: Qasse, Ilham, et al.
Published: (2025)

Validation Framework for E-Contract and Smart Contract
by: Godboley, Sangharatna, et al.
Published: (2025)

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

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

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

A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models
by: Kaniewski, Sabrina, 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)