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SmartBugs: A Framework to Analyze Solidity Smart Contracts

International Conference on Automated Software Engineering (ASE), 2020

8 July 2020

Papers citing "SmartBugs: A Framework to Analyze Solidity Smart Contracts"

31 / 31 papers shown

SmartPoC: Generating Executable and Validated PoCs for Smart Contract Bug Reports

272

17 Nov 2025

Prompt to Pwn: Automated Exploit Generation for Smart Contracts

291

02 Aug 2025

SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection

177

30 Jul 2025

Towards Understanding Deep Learning Model in Image Recognition via Coverage Test

304

12 May 2025

Generative Large Language Model usage in Smart Contract Vulnerability Detection

313

07 Apr 2025

Vulnerability Detection: From Formal Verification to Large Language Models and Hybrid Approaches: A Comprehensive Overview

360

13 Mar 2025

Logic Meets Magic: LLMs Cracking Smart Contract VulnerabilitiesInternational Conference on Blockchain (ICB), 2025

348

13 Jan 2025

Leveraging Large Language Models and Machine Learning for Smart Contract Vulnerability DetectionComputing and Communication Workshop and Conference (CC), 2025

S M Mostaq Hossain

Amani Altarawneh

Jesse Roberts

260

04 Jan 2025

Smart-LLaMA: Two-Stage Post-Training of Large Language Models for Smart Contract Vulnerability Detection and Explanation

278

09 Nov 2024

Detection Made Easy: Potentials of Large Language Models for Solidity Vulnerabilities

Md Tauseef Alam

Raju Halder

Abyayananda Maiti

270

15 Sep 2024

Detecting Buggy Contracts via Smart Testing

334

06 Sep 2024

Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis

292

26 Jul 2024

Vulnerability-Hunter: An Adaptive Feature Perception Attention Network for Smart Contract Vulnerabilities

Yizhou Chen

190

07 Jul 2024

Vulnerability Scanners for Ethereum Smart Contracts: A Large-Scale Study

278

27 Dec 2023

VulnSense: Efficient Vulnerability Detection in Ethereum Smart Contracts by Multimodal Learning with Graph Neural Network and Language Model

176

15 Sep 2023

Abusing the Ethereum Smart Contract Verification Services for Fun and ProfitNetwork and Distributed System Security Symposium (NDSS), 2023

Haoyu Wang

167

02 Jul 2023

SmartBugs 2.0: An Execution Framework for Weakness Detection in Ethereum Smart ContractsInternational Conference on Automated Software Engineering (ASE), 2023

326

08 Jun 2023

Definition and Detection of Defects in NFT Smart ContractsInternational Symposium on Software Testing and Analysis (ISSTA), 2023

Shuo Yang

Jiachi Chen

Zibin Zheng

345

25 May 2023

Consolidation of Ground Truth Sets for Weakness Detection in Smart Contracts

Monika di Angelo

G. Salzer

230

23 Apr 2023

Schooling to Exploit Foolish ContractsInternational Conference on Blockchain Computing and Applications (ICBCA), 2023

Tamer Abdelaziz

Aquinas Hobor

312

21 Apr 2023

Smart Learning to Find Dumb Contracts (Extended Version)USENIX Security Symposium (USENIX Security), 2023

Tamer Abdelaziz

Aquinas Hobor

348

21 Apr 2023

Analyzing the Impact of Elusive Faults on Blockchain Reliability

F. Vidal

N. Ivaki

N. Laranjeiro

160

11 Apr 2023

Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?International Conference on Software Engineering (ICSE), 2023

Stefanos Chaliasos

Marcos Antonios Charalambous

290

06 Apr 2023

Evolution of Automated Weakness Detection in Ethereum Bytecode: a Comprehensive StudyEmpirical Software Engineering (EMSE), 2023

202

18 Mar 2023

Pre-deployment Analysis of Smart Contracts -- A Survey

Sundas Munir

Walid M. Taha

305

15 Jan 2023

AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their FixesEUROMICRO Conference on Software Engineering and Advanced Applications (SEAA), 2022

234

20 Dec 2022

Vulnerability Analysis of Smart Contracts

291

14 Dec 2022

MANDO: Multi-Level Heterogeneous Graph Embeddings for Fine-Grained Detection of Smart Contract VulnerabilitiesInternational Conference on Data Science and Advanced Analytics (DSAA), 2022

Lingxiao Jiang

207

28 Aug 2022

ScrawlD: A Dataset of Real World Ethereum Smart Contracts Labelled with Vulnerabilities

Chavhan Sujeet Yashavant

Saurabh Kumar

Amey Karkare

263

23 Feb 2022

xFuzz: Machine Learning Guided Cross-Contract Fuzzing

Jun Sun

148

24 Nov 2021

Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart ContractsInternational Symposium on Recent Advances in Intrusion Detection (RAID), 2021

C. F. Torres

H. Jonker

R. State

354

23 Aug 2021