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tFuzz: Detecting Cross-Contract Vulnerabilities in Ethereum via Semantic Transaction Sequencing and Feature Path Coverage
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inferredcites →https://doi.org/10.1007/s10515-024-00471-8openalex-snapshot
Contractsentry: a static analysis tool for smart contract vulnerability detection
inferredcites →https://doi.org/10.1007/s10515-025-00539-zopenalex-snapshot
Causes and effects of fitness landscapes in system test generation: a replication study
inferredcites →https://doi.org/10.1007/s10515-025-00559-9openalex-snapshot
ByteEye: A smart contract vulnerability detection framework at bytecode level with graph neural networks
inferredcites →https://doi.org/10.1007/s10664-025-10623-3openalex-snapshot
CSAFuzzer: Fuzzing smart contracts combining with static analysis
inferredcites →https://doi.org/10.1007/s10664-026-10863-xopenalex-snapshot
ContractFull: a rapid and comprehensive static analysis tool for Ethereum smart contracts
inferredcites →https://doi.org/10.1007/s11219-025-09734-3openalex-snapshot
OSEL: boosting vulnerability detection with opcode slicing-enhanced feature learning
inferredcites →https://doi.org/10.1016/j.jisa.2023.103484openalex-snapshot
SVScanner: Detecting smart contract vulnerabilities via deep semantic extraction
inferredcites →https://doi.org/10.1016/j.jss.2024.112160openalex-snapshot
Vulnerability detection techniques for smart contracts: A systematic literature review
inferredcites →https://doi.org/10.1016/j.jss.2025.112406openalex-snapshot
Sóley: Automated detection of logic vulnerabilities in Ethereum smart contracts using large language models
inferredcites →https://doi.org/10.1016/j.scico.2023.103076openalex-snapshot
CrossFuzz: Cross-contract fuzzing for smart contract vulnerability detection
inferredcites →https://doi.org/10.1109/access.2022.3169902openalex-snapshot
Ethereum Smart Contract Analysis Tools: A Systematic Review
inferredcites →https://doi.org/10.1109/csf.2018.00022openalex-snapshot
KEVM: A Complete Formal Semantics of the Ethereum Virtual Machine
inferredcites →https://doi.org/10.1109/dsn69566.2026.00050openalex-snapshot
Reentrancy Detection in the Age of LLMs
inferredcites →https://doi.org/10.1109/eurosp51992.2021.00018openalex-snapshot
ConFuzzius: A Data Dependency-Aware Hybrid Fuzzer for Smart Contracts
inferredcites →https://doi.org/10.1109/sp40000.2020.00024openalex-snapshot
VerX: Safety Verification of Smart Contracts
inferredcites →https://doi.org/10.1109/tdsc.2022.3182373openalex-snapshot
xFuzz: Machine Learning Guided Cross-Contract Fuzzing
inferredcites →https://doi.org/10.1109/tr.2024.3494798openalex-snapshot
Test Case Generation for Ethereum Smart Contracts Based on Cross-Contract Data Flow Analysis
inferredcites →https://doi.org/10.1109/tse.2021.3117966openalex-snapshot
Pluto: Exposing Vulnerabilities in Inter-Contract Scenarios
inferredcites →https://doi.org/10.1109/tse.2023.3317209openalex-snapshot
VulHunter: Hunting Vulnerable Smart Contracts at EVM Bytecode-Level via Multiple Instance Learning
inferredcites →https://doi.org/10.1145/3167084openalex-snapshot
Towards verifying ethereum smart contract bytecode in Isabelle/HOL
inferredcites →https://doi.org/10.1145/3238147.3238177openalex-snapshot
ContractFuzzer: fuzzing smart contracts for vulnerability detection
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/10.1145/3533767.3534222openalex-snapshot
SmartDagger: a bytecode-based static analysis approach for detecting cross-contract vulnerability
inferredcites →https://doi.org/10.1145/3674725openalex-snapshot
FunFuzz: A Function-Oriented Fuzzer for Smart Contract Vulnerability Detection with High Effectiveness and Efficiency
inferredcites →https://doi.org/10.3390/fi14110326openalex-snapshot
Toward Vulnerability Detection for Ethereum Smart Contracts Using Graph-Matching Network
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