Automated Vulnerability Injection in Smart Contracts Using Large Language Models
Assessing vulnerability detection tools for smart contracts requires datasets with known ground truth, yet such datasets are scarce and difficult to build by hand. We propose an approach that uses Large Language Models (LLMs) to automatically inject vulnerabilities into Solidity smart contracts, and demonstrate it in a case study targeting 49 vulnerability types from OpenSCV. Injected contracts are validated through a multi-step pipeline checking compilation, execution, business logic, and the presence of the intended vulnerability. Applied to real-world contracts from SmartBugs, LLMs generate nearly 1,000 candidate variants; after deduplication and validation, 32 confirmed vulnerable con...
| Authors | Luca Migliaccio, Roberto Natella, Naghmeh Ivaki et al. |
|---|---|
| Primary category | cs.SE |
| Published | 2 September 2026 |
| Last updated at source | 2 September 2026 |
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