Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis
Fuente:
arXiv
Saved in:
| Main Authors: | Ressi, Dalila, Spanò, Alvise, Benetollo, Lorenzo, Piazza, Carla, Bugliesi, Michele, Rossi, Sabina |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Reentrancy Detection in the Age of LLMs
by: Ressi, Dalila, et al.
Published: (2026)
by: Ressi, Dalila, et al.
Published: (2026)
Smart Contract Languages: a comparative analysis
by: Bartoletti, Massimo, et al.
Published: (2024)
by: Bartoletti, Massimo, et al.
Published: (2024)
Dual-view Aware Smart Contract Vulnerability Detection for Ethereum
by: Yao, Jiacheng, et al.
Published: (2024)
by: Yao, Jiacheng, et al.
Published: (2024)
Assessing Code Understanding in LLMs
by: Laneve, Cosimo, et al.
Published: (2025)
by: Laneve, Cosimo, et al.
Published: (2025)
TaintSentinel: Path-Level Randomness Vulnerability Detection for Ethereum Smart Contracts
by: Rezaei, Hadis, et al.
Published: (2025)
by: Rezaei, Hadis, et al.
Published: (2025)
Security Vulnerabilities in Ethereum Smart Contracts: A Systematic Analysis
by: Wu, Jixuan, et al.
Published: (2025)
by: Wu, Jixuan, et al.
Published: (2025)
Vulnerability Detection in Smart Contracts: A Comprehensive Survey
by: De Baets, Christopher, et al.
Published: (2024)
by: De Baets, Christopher, et al.
Published: (2024)
Knowledge Migration Framework for Smart Contract Vulnerability Detection
by: Wang, Luqi, et al.
Published: (2024)
by: Wang, Luqi, et al.
Published: (2024)
Security Analysis of Ponzi Schemes in Ethereum Smart Contracts
by: Zhang, Chunyi, et al.
Published: (2025)
by: Zhang, Chunyi, et al.
Published: (2025)
Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability Detection
by: Hossain, S M Mostaq, et al.
Published: (2025)
by: Hossain, S M Mostaq, et al.
Published: (2025)
MTVHunter: Smart Contracts Vulnerability Detection Based on Multi-Teacher Knowledge Translation
by: Sun, Guokai, et al.
Published: (2025)
by: Sun, Guokai, et al.
Published: (2025)
Demystifying and Detecting Cryptographic Defects in Ethereum Smart Contracts
by: Zhang, Jiashuo, et al.
Published: (2024)
by: Zhang, Jiashuo, et al.
Published: (2024)
EthCluster: An Unsupervised Static Analysis Method for Ethereum Smart Contract
by: Huang, Hong-Sheng, et al.
Published: (2025)
by: Huang, Hong-Sheng, et al.
Published: (2025)
Neural Networks Reduction via Lumping
by: Ressi, Dalila, et al.
Published: (2022)
by: Ressi, Dalila, et al.
Published: (2022)
A Risk-Stratified Benchmark Dataset for Bad Randomness (SWC-120) Vulnerabilities in Ethereum Smart Contracts
by: Rezaei, Hadis, et al.
Published: (2026)
by: Rezaei, Hadis, et al.
Published: (2026)
Soley: Identification and Automated Detection of Logic Vulnerabilities in Ethereum Smart Contracts Using Large Language Models
by: Soud, Majd, et al.
Published: (2024)
by: Soud, Majd, et al.
Published: (2024)
On-Chain Analysis of Smart Contract Dependency Risks on Ethereum
by: Jin, Monica, et al.
Published: (2025)
by: Jin, Monica, et al.
Published: (2025)
An Automated Analyzer for Financial Security of Ethereum Smart Contracts
by: Wang, Wansen, et al.
Published: (2022)
by: Wang, Wansen, et al.
Published: (2022)
Static Analysis for Detecting Transaction Conflicts in Ethereum Smart Contracts
by: Chahoki, Atefeh Zareh, et al.
Published: (2025)
by: Chahoki, Atefeh Zareh, et al.
Published: (2025)
Enhanced Smart Contract Reputability Analysis using Multimodal Data Fusion on Ethereum
by: Malik, Cyrus, et al.
Published: (2025)
by: Malik, Cyrus, et al.
Published: (2025)
LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection
by: Wei, Zhiyuan, et al.
Published: (2024)
by: Wei, Zhiyuan, et al.
Published: (2024)
Understanding and Characterizing Obfuscated Funds Transfers in Ethereum Smart Contracts
by: Sheng, Zhang, et al.
Published: (2025)
by: Sheng, Zhang, et al.
Published: (2025)
FlexiContracts: A Novel and Efficient Scheme for Upgrading Smart Contracts in Ethereum Blockchain
by: Hossain, Tahrim, et al.
Published: (2025)
by: Hossain, Tahrim, et al.
Published: (2025)
ORACAL: A Robust and Explainable Multimodal Framework for Smart Contract Vulnerability Detection with Causal Graph Enrichment
by: Dai, Tran Duong Minh, et al.
Published: (2026)
by: Dai, Tran Duong Minh, et al.
Published: (2026)
Proxion: Uncovering Hidden Proxy Smart Contracts for Finding Collision Vulnerabilities in Ethereum
by: Chen, Cheng-Kang, et al.
Published: (2024)
by: Chen, Cheng-Kang, et al.
Published: (2024)
Interaction-Aware Vulnerability Detection in Smart Contract Bytecodes
by: Li, Wenkai, et al.
Published: (2024)
by: Li, Wenkai, et al.
Published: (2024)
An Effective and Cost-Efficient Agentic Framework for Ethereum Smart Contract Auditing
by: Hu, Xiaohui, et al.
Published: (2026)
by: Hu, Xiaohui, et al.
Published: (2026)
SmartBugBert: BERT-Enhanced Vulnerability Detection for Smart Contract Bytecode
by: Bu, Jiuyang, et al.
Published: (2025)
by: Bu, Jiuyang, et al.
Published: (2025)
ML2SC: Deploying Machine Learning Models as Smart Contracts on the Blockchain
by: Li, Zhikai, et al.
Published: (2024)
by: Li, Zhikai, et al.
Published: (2024)
PhishingHook: Catching Phishing Ethereum Smart Contracts leveraging EVM Opcodes
by: De Rosa, Pasquale, et al.
Published: (2025)
by: De Rosa, Pasquale, et al.
Published: (2025)
BugSweeper: Function-Level Detection of Smart Contract Vulnerabilities Using Graph Neural Networks
by: Lee, Uisang, et al.
Published: (2025)
by: Lee, Uisang, et al.
Published: (2025)
Generative Large Language Model usage in Smart Contract Vulnerability Detection
by: Ince, Peter, et al.
Published: (2025)
by: Ince, Peter, et al.
Published: (2025)
SmartGraphical: A Human-in-the-Loop Framework for Detecting Smart Contract Logical Vulnerabilities via Pattern-Driven Static Analysis and Visual Abstraction
by: Fattahdizaji, Ali, et al.
Published: (2026)
by: Fattahdizaji, Ali, et al.
Published: (2026)
Fishing for Phishers: Learning-Based Phishing Detection in Ethereum Transactions
by: Alghuried, Ahod, et al.
Published: (2025)
by: Alghuried, Ahod, et al.
Published: (2025)
Capturing Monetarily Exploitable Vulnerability in Smart Contracts via Auditor Knowledge-Learning Fuzzing
by: Cai, Bowen, et al.
Published: (2026)
by: Cai, Bowen, et al.
Published: (2026)
Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection
by: Risse, Niklas, et al.
Published: (2023)
by: Risse, Niklas, et al.
Published: (2023)
Exploring Vulnerabilities and Concerns in Solana Smart Contracts
by: Wu, Xiangfan, et al.
Published: (2025)
by: Wu, Xiangfan, et al.
Published: (2025)
Explainable Ponzi Schemes Detection on Ethereum
by: Galletta, Letterio, et al.
Published: (2023)
by: Galletta, Letterio, et al.
Published: (2023)
Detecting Financial Bots on the Ethereum Blockchain
by: Niedermayer, Thomas, et al.
Published: (2024)
by: Niedermayer, Thomas, et al.
Published: (2024)
Simple Perturbations Subvert Ethereum Phishing Transactions Detection: An Empirical Analysis
by: Alghureid, Ahod, et al.
Published: (2024)
by: Alghureid, Ahod, et al.
Published: (2024)
Similar Items
-
Reentrancy Detection in the Age of LLMs
by: Ressi, Dalila, et al.
Published: (2026) -
Smart Contract Languages: a comparative analysis
by: Bartoletti, Massimo, et al.
Published: (2024) -
Dual-view Aware Smart Contract Vulnerability Detection for Ethereum
by: Yao, Jiacheng, et al.
Published: (2024) -
Assessing Code Understanding in LLMs
by: Laneve, Cosimo, et al.
Published: (2025) -
TaintSentinel: Path-Level Randomness Vulnerability Detection for Ethereum Smart Contracts
by: Rezaei, Hadis, et al.
Published: (2025)