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ContractFuzzer: fuzzing smart contracts for vulnerability detection

https://doi.org/10.1145/3238147.3238177
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-642-37036-6_8openalex-snapshot
Why3 — Where Programs Meet Provers
inferredcites →https://doi.org/10.1007/978-3-662-53357-4_6openalex-snapshot
Step by Step Towards Creating a Safe Smart Contract: Lessons and Insights from a Cryptocurrency Lab
inferredcites →https://doi.org/10.1007/978-3-662-54455-6_8openalex-snapshot
A Survey of Attacks on Ethereum Smart Contracts (SoK)
inferredcites →https://doi.org/10.1007/bf01932308openalex-snapshot
A sentence generator for testing parsers
inferredcites →https://doi.org/10.1007/bf01932975openalex-snapshot
A sentence generator for testing parsers
inferredcites →https://doi.org/10.1145/2837614.2837655openalex-snapshot
Dependent types and multi-monadic effects in F*
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/10.1145/3274694.3274743openalex-snapshot
Finding The Greedy, Prodigal, and Suicidal Contracts at Scale
inferredcites →https://doi.org/10.1147/sj.94.0242openalex-snapshot
Automatic generation of test cases
inferredcites →https://doi.org/10.2139/ssrn.3440802openalex-snapshot
Bitcoin: A Peer-to-Peer Electronic Cash System

What points at this work

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

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Sailfish: Vetting Smart Contract State-Inconsistency Bugs in Seconds
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Sok: The Progress, Challenges, and Perspectives of Directed Greybox Fuzzing
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An Overview of the Research in the Security Issues of Ethereum Ecosystem
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An Empirical Study on Real Bug Fixes in Smart Contracts Projects
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MLFuzzer: a fuzzing approach based on generative adversarial networks and BiLSTM for detecting vulnerabilities in smart contracts
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Efficient Path-Driven Vulnerability Detection for Complex Smart Contracts via Graph Compression
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A novel method using LSTM-RNN to generate smart contracts code templates for improved usability
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OSEL: boosting vulnerability detection with opcode slicing-enhanced feature learning
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HSVDetector: a heterogeneous semantic graph-based method for smart contract vulnerability detection
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A survey on security in consensus and smart contracts
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A smart contract vulnerability detection method based on deep learning with opcode sequences
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ELSO: A Blockchain-Based Technique for a Reliable and Secure Healthcare Information Exchange
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Small sample smart contract vulnerability detection method based on multi-layer feature fusion
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Digital assets: vulnerabilities and their classification
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Role-Based Smart Contract: An Intelligent System for Scholarly Communication
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A Retrospective Analysis of a Rapid Review on Fuzz Security Testing for Software Implementation of Communication Protocols
inferred← citeshttps://doi.org/10.1016/b978-0-443-30300-5.00025-7openalex-snapshot
Blockchain for security and privacy in the smart healthcare
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Effective combining source code and opcode for accurate vulnerability detection of smart contracts in edge AI systems
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112238openalex-snapshot
FMCF: A fusing multiple code features approach based on Transformer for Solidity smart contracts source code summarization
inferred← citeshttps://doi.org/10.1016/j.asoc.2025.113435openalex-snapshot
A smart contract vulnerability line detection method based on graph neural network and fusion of multidimensional code representation
inferred← citeshttps://doi.org/10.1016/j.bar.2023.101270openalex-snapshot
Auditing decentralized finance
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To healthier Ethereum: a comprehensive and iterative smart contract weakness enumeration
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FinanceFuzz: fuzzing smart contracts with financial properties
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A systematic literature review on security testing of Ethereum smart contracts
inferred← citeshttps://doi.org/10.1016/j.bcra.2025.100338openalex-snapshot
DelegateTracker: Delegatecall vulnerability detection tool based on read-write data flow capture algorithm
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.bcra.2025.100384openalex-snapshot
EVMLiSA: Sound static control-flow graph construction for EVM bytecode
inferred← citeshttps://doi.org/10.1016/j.bcra.2025.100402openalex-snapshot
How far should we go away from smart contract to smarter contractor? A systematic review
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A Smart Contract Vulnerability Detection Method Based on Comprehensive Code Graph and Temporal Feature Enhancement Networks
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A blockchain-based access control and intrusion detection framework for satellite communication systems
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Detecting abnormal behaviors in smart contracts using opcode sequences
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110238openalex-snapshot
DA-GNN: A smart contract vulnerability detection method based on Dual Attention Graph Neural Network
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110959openalex-snapshot
EAOS: Exposing attacks in smart contracts through analyzing opcode sequences with operands
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111121openalex-snapshot
Smart contract anomaly detection: The Contrastive Learning Paradigm
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DBC-MulBiLSTM: A DistilBERT-CNN Feature Fusion Framework enhanced by multi-head self-attention and BiLSTM for smart contract vulnerability detection
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Ethereum smart contract security: Vulnerabilities, analysis techniques, challenges and research directions
inferred← citeshttps://doi.org/10.1016/j.cose.2021.102343openalex-snapshot
A security type verifier for smart contracts
inferred← citeshttps://doi.org/10.1016/j.cose.2024.103894openalex-snapshot
Reentrancy vulnerability detection based on graph convolutional networks and expert patterns under subspace mapping
inferred← citeshttps://doi.org/10.1016/j.dcan.2023.07.009openalex-snapshot
Block-gram: Mining knowledgeable features for efficiently smart contract vulnerability detection
inferred← citeshttps://doi.org/10.1016/j.engappai.2026.116074openalex-snapshot
Fortifying smart contracts through rich heterogeneous graph semantics and dual attention guards
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.126479openalex-snapshot
SmartGuard: An LLM-enhanced framework for smart contract vulnerability detection
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.127158openalex-snapshot
A data trading scheme based on blockchain and game theory in federated learning
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Decentralized finance security: A survey of attacks, defenses, and open challenges
inferred← citeshttps://doi.org/10.1016/j.icte.2026.02.002openalex-snapshot
When datasets deceive: Exposing overlap in smart contract vulnerability detection
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TMF-Net: Multimodal smart contract vulnerability detection based on multiscale transformer fusion
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An attack detection mechanism in smart contracts based on deep learning and feature fusion
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Transaction-based classification and detection approach for Ethereum smart contract
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Security reinforcement for Ethereum virtual machine
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An overview of blockchain smart contract execution mechanism
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SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
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FSFC: An input filter-based secure framework for smart contract
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Survey on blockchain based smart contracts: Applications, opportunities and challenges
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A comprehensive survey of smart contract security: State of the art and research directions
inferred← citeshttps://doi.org/10.1016/j.jnca.2026.104451openalex-snapshot
Improving smart contract security with transformer-based anomaly detection
inferred← citeshttps://doi.org/10.1016/j.jss.2020.110647openalex-snapshot
A federated society of bots for smart contract testing
inferred← citeshttps://doi.org/10.1016/j.jss.2020.110891openalex-snapshot
A systematic literature review of blockchain and smart contract development: Techniques, tools, and open challenges
inferred← citeshttps://doi.org/10.1016/j.jss.2022.111550openalex-snapshot
Combine sliced joint graph with graph neural networks for smart contract vulnerability detection
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111699openalex-snapshot
Optimizing smart contract vulnerability detection via multi-modality code and entropy embedding
inferred← citeshttps://doi.org/10.1016/j.jss.2023.111705openalex-snapshot
Smart contract vulnerability detection based on semantic graph and residual graph convolutional networks with edge attention
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Vulnerability detection techniques for smart contracts: A systematic literature review
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