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ReDefender: Detecting Reentrancy Vulnerabilities in Smart Contracts Automatically

https://doi.org/10.1109/tr.2022.3161634
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.jss.2017.06.069openalex-snapshot
Be more familiar with our enemies and pave the way forward: A review of the roles bugs played in software failures
inferredcites →https://doi.org/10.1016/j.pmcj.2020.101227openalex-snapshot
Verification of smart contracts: A survey
inferredcites →https://doi.org/10.1109/ase.2019.00133openalex-snapshot
Manticore: A User-Friendly Symbolic Execution Framework for Binaries and Smart Contracts
inferredcites →https://doi.org/10.1109/dsa51864.2020.00018openalex-snapshot
A Survey ofNFC Mobile Payment: Challenges and Solutions using Blockchain and Cryptocurrencies
inferredcites →https://doi.org/10.1109/qrs54544.2021.00101openalex-snapshot
ReDefender: A Tool for Detecting Reentrancy Vulnerabilities in Smart Contracts Effectively
inferredcites →https://doi.org/10.1109/ssiri.2010.38openalex-snapshot
Recent Catastrophic Accidents: Investigating How Software was Responsible
inferredcites →https://doi.org/10.1109/tse.2017.2785841openalex-snapshot
Coverage-Based Greybox Fuzzing as Markov Chain
inferredcites →https://doi.org/10.1109/tse.2021.3054928openalex-snapshot
DefectChecker: Automated Smart Contract Defect Detection by Analyzing EVM Bytecode
inferredcites →https://doi.org/10.1109/wetseb.2019.00008openalex-snapshot
Slither: A Static Analysis Framework for Smart Contracts
inferredcites →https://doi.org/10.1145/2976749.2978309openalex-snapshot
Making Smart Contracts Smarter
inferredcites →https://doi.org/10.1145/2993600.2993611openalex-snapshot
Formal Verification of Smart Contracts
inferredcites →https://doi.org/10.1145/2994581openalex-snapshot
Blockchain beyond bitcoin
inferredcites →https://doi.org/10.1145/3167084openalex-snapshot
Towards verifying ethereum smart contract bytecode in Isabelle/HOL
inferredcites →https://doi.org/10.1145/3194113.3194115openalex-snapshot
SmartCheck
inferredcites →https://doi.org/10.1145/3238147.3238177openalex-snapshot
ContractFuzzer: fuzzing smart contracts for vulnerability detection
inferredcites →https://doi.org/10.1145/3243734.3243780openalex-snapshot
Securify
inferredcites →https://doi.org/10.1145/3274694.3274737openalex-snapshot
Osiris
inferredcites →https://doi.org/10.1145/3274694.3274743openalex-snapshot
Finding The Greedy, Prodigal, and Suicidal Contracts at Scale
inferredcites →https://doi.org/10.1145/3276486openalex-snapshot
MadMax: surviving out-of-gas conditions in Ethereum smart contracts
inferredcites →https://doi.org/10.1145/3338906.3341175openalex-snapshot
EVMFuzzer: detect EVM vulnerabilities via fuzz testing
inferredcites →https://doi.org/10.1145/3377811.3380334openalex-snapshot
sFuzz
inferredcites →https://doi.org/10.1145/3377811.3380364openalex-snapshot
Empirical review of automated analysis tools on 47,587 Ethereum smart contracts
inferredcites →https://doi.org/10.1145/3395363.3397385openalex-snapshot
How effective are smart contract analysis tools? evaluating smart contract static analysis tools using bug injection
inferredcites →https://doi.org/10.1145/3395363.3404366openalex-snapshot
Echidna: effective, usable, and fast fuzzing for smart contracts
inferredcites →https://doi.org/10.14722/ndss.2019.23413openalex-snapshot
Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks
inferredcites →https://doi.org/10.1504/ijwgs.2018.095647openalex-snapshot
Blockchain challenges and opportunities: a survey
inferredcites →https://doi.org/10.2139/ssrn.3440802openalex-snapshot
Bitcoin: A Peer-to-Peer Electronic Cash System
inferredcites →https://doi.org/10.2139/ssrn.3977007openalex-snapshot
Bitcoin: A Peer-to-Peer Electronic Cash System
inferredcites →https://doi.org/10.23940/ijpe.21.05.p1.411421openalex-snapshot
Design Principles and Best Practices of Central Bank Digital Currency
inferredcites →https://doi.org/10.48550/arxiv.1911.09425openalex-snapshot
SolidityCheck : Quickly Detecting Smart Contract Problems Through Regular Expressions

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4511778openalex-extracted
Vulnerability Detection for Smart Contracts: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1002/9781119781042.ch1openalex-snapshot
Introduction
inferred← citeshttps://doi.org/10.1002/spy2.430openalex-snapshot
Detection of malicious smart contracts by fine‐tuning GPT‐3
inferred← citeshttps://doi.org/10.1007/978-3-031-19849-6_7openalex-snapshot
Selective Presumed Benevolence in Multi-party System Verification
inferred← citeshttps://doi.org/10.1007/978-3-032-28863-9_9openalex-snapshot
Analyzers and Detection Tools for Smart Contracts
inferred← citeshttps://doi.org/10.1007/s00607-026-01616-1openalex-snapshot
Smartguardia: smart contract vulnerability detection based on pruning abstract syntax tree and transfer learning
inferred← citeshttps://doi.org/10.1007/s10207-024-00817-zopenalex-snapshot
Pioneering automated vulnerability detection for smart contracts in blockchain using KEVM: Guardian ADRGAN
inferred← citeshttps://doi.org/10.1007/s10515-024-00418-zopenalex-snapshot
DL4SC: a novel deep learning-based vulnerability detection framework for smart contracts
inferred← citeshttps://doi.org/10.1007/s10586-024-05051-9openalex-snapshot
MLFuzzer: a fuzzing approach based on generative adversarial networks and BiLSTM for detecting vulnerabilities in smart contracts
inferred← citeshttps://doi.org/10.1007/s10664-024-10446-8openalex-snapshot
OpenSCV: an open hierarchical taxonomy for smart contract vulnerabilities
inferred← citeshttps://doi.org/10.1016/j.bcra.2025.100347openalex-snapshot
Welcome back: A systematic literature review of smart contract reentrancy and countermeasures
inferred← citeshttps://doi.org/10.1016/j.infsof.2025.107719openalex-snapshot
Dynamic information utilization for securing Ethereum smart contracts: A literature review
inferred← citeshttps://doi.org/10.1016/j.jnca.2025.104142openalex-snapshot
A Comprehensive Survey of Smart Contracts Vulnerability Detection Tools: Techniques and Methodologies
inferred← citeshttps://doi.org/10.1016/j.jpdc.2023.104730openalex-snapshot
Why blockchain needs graph: A survey on studies, scenarios, and solutions
inferred← citeshttps://doi.org/10.1016/j.jss.2024.112160openalex-snapshot
Vulnerability detection techniques for smart contracts: A systematic literature review
inferred← citeshttps://doi.org/10.1016/j.jss.2025.112361openalex-snapshot
An Attention-based Wide and Deep Neural Network for Reentrancy Vulnerability Detection in Smart Contracts
inferred← citeshttps://doi.org/10.1038/s41598-025-14032-wopenalex-snapshot
A graph attention network-based multi-agent reinforcement learning framework for robust detection of smart contract vulnerabilities
inferred← citeshttps://doi.org/10.1049/2023/6631967openalex-snapshot
VdaBSC: A Novel Vulnerability Detection Approach for Blockchain Smart Contract by Dynamic Analysis
inferred← citeshttps://doi.org/10.1049/blc2.12072openalex-snapshot
Enhancing smart contract security: Leveraging pre‐trained language models for advanced vulnerability detection
inferred← citeshttps://doi.org/10.1109/access.2023.3349374openalex-snapshot
The Consumer-Centered Electricity Reliability Enhancement in the Standalone Generation Arena
inferred← citeshttps://doi.org/10.1109/access.2025.3532326openalex-snapshot
Deep Learning-Based Vulnerability Detection Solutions in Smart Contracts: A Comparative and Meta-Analysis of Existing Approaches
inferred← citeshttps://doi.org/10.1109/airc69745.2026.11631382openalex-snapshot
Automated Vulnerability Detection and Risk Prioritization for Smart Contract Reentrancy Attacks Using Ensemble Machine Learning
inferred← citeshttps://doi.org/10.1109/dspp58763.2023.10404628openalex-snapshot
Intelligent Contract Vulnerability Detection Method Based on Bic-RL
inferred← citeshttps://doi.org/10.1109/icccnt56998.2023.10306463openalex-snapshot
Function Locking Fused with Hashing Technique to Mitigate Re-entrancy Attacks in Smart Contract
inferred← citeshttps://doi.org/10.1109/issre59848.2023.00067openalex-snapshot
Evaluating Ethereum Reentrancy Detection Tools via Mutation Testing
inferred← citeshttps://doi.org/10.1109/melecon64486.2026.11418841openalex-snapshot
Smart Contracts and Security: A Comprehensive Survey of Vulnerabilities, Detection Techniques, and Mitigation Strategies
inferred← citeshttps://doi.org/10.1109/tkde.2025.3621621openalex-snapshot
Consensus and Computing Integration for Processing Transactional Graphs in Consortium Blockchain
inferred← citeshttps://doi.org/10.1109/tnse.2024.3447025openalex-snapshot
EvoFuzzer: An Evolutionary Fuzzer for Detecting Reentrancy Vulnerability in Smart Contracts
inferred← citeshttps://doi.org/10.1109/tnse.2025.3583926openalex-snapshot
ContractScanner: Detecting and Localizing Vulnerabilities of Smart Contracts via Graph-Based Semantic Modeling of Source Code
inferred← citeshttps://doi.org/10.1109/tnse.2026.3658785openalex-snapshot
AI-Empowered Smart Contract Vulnerability Detection for Decentralized Blockchain Systems
inferred← citeshttps://doi.org/10.1109/tr.2023.3233999openalex-snapshot
Detect Defects of Solidity Smart Contract Based on the Knowledge Graph
inferred← citeshttps://doi.org/10.1109/tr.2024.3370734openalex-snapshot
PonziFinder: Attention-Based Edge-Enhanced Ponzi Contract Detection
inferred← citeshttps://doi.org/10.1109/tr.2024.3488814openalex-snapshot
ReenSAT: Reentrancy Vulnerability Detection in Smart Contracts Using Semantic-Enhanced SAT Evaluation
inferred← citeshttps://doi.org/10.1109/tr.2024.3494798openalex-snapshot
Test Case Generation for Ethereum Smart Contracts Based on Cross-Contract Data Flow Analysis
inferred← citeshttps://doi.org/10.1109/tsc.2024.3463394openalex-snapshot
A Survey on Security Analysis Methods of Smart Contracts
inferred← citeshttps://doi.org/10.1109/tse.2024.3464539openalex-snapshot
SCAnoGenerator: Automatic Anomaly Injection for Ethereum Smart Contracts
inferred← citeshttps://doi.org/10.1109/tse.2025.3605379openalex-snapshot
VulFinder: Exploring Chaincode Vulnerabilities More Effectively and Efficiently Using Knowledge Graph Based Defect Pattern Matching
inferred← citeshttps://doi.org/10.1145/3597503.3639152openalex-snapshot
Are We There Yet? Unraveling the State-of-the-Art Smart Contract Fuzzers
inferred← citeshttps://doi.org/10.1145/3797093openalex-snapshot
Verifying Smart Contract Security against Re-entrancy Attacks through Relational Value Analysis
inferred← citeshttps://doi.org/10.1145/3832222openalex-snapshot
Augmenting Multi-technique Static Analysis with Large Language Models: A Neuro-symbolic Approach to Smart Contract Vulnerability Detection
inferred← citeshttps://doi.org/10.1561/3300000044openalex-snapshot
Security Analysis and Formal Verification on Blockchain and its Applications
inferred← citeshttps://doi.org/10.23889/suthesis.67283openalex-snapshot
Verification of Smart Contracts using the Interactive Theorem Prover Agda
inferred← citeshttps://doi.org/10.3233/faia230374openalex-snapshot
GraphSA: Smart Contract Vulnerability Detection Combining Graph Neural Networks and Static Analysis
inferred← citeshttps://doi.org/10.3390/app15115924openalex-snapshot
Smart Contract Security in Decentralized Finance: Enhancing Vulnerability Detection with Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/app16189106openalex-snapshot
A Systematic Survey of Smart Contract Fuzzing: Methods, Techniques, and Architectures for Ethereum and Beyond
inferred← citeshttps://doi.org/10.3390/fi17050205openalex-snapshot
Securing Blockchain Systems: A Layer-Oriented Survey of Threats, Vulnerability Taxonomy, and Detection Methods
inferred← citeshttps://doi.org/10.3390/s25020342openalex-snapshot
Cybersecurity Attacks and Detection Methods in Web 3.0 Technology: A Review
inferred← citeshttps://doi.org/10.3390/sym16101381openalex-snapshot
EDSCVD: Enhanced Dual-Channel Smart Contract Vulnerability Detection Method
inferred← citeshttps://doi.org/10.5753/sbseg.2024.241431openalex-snapshot
DogeFuzz: A Simple Yet Efficient Grey-box Fuzzer for Ethereum Smart Contracts
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