DFveloper/cyber-security-bucket / blockchain-security__README.md
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---
license: apache-2.0
language:
- en
tags:
- cybersecurity
- blockchain-security
- smart-contracts
- ethereum
- solidity
- defi
- web3
task_categories:
- text-generation
- question-answering
size_categories:
- n<10
---
# Blockchain Security Dataset
## Overview
This dataset contains structured instruction-input-output records covering blockchain and smart contract security auditing. It includes a comprehensive guide for performing security audits of Ethereum smart contracts written in Solidity. The record covers static analysis tools, common vulnerability patterns including reentrancy and integer overflow, access control issues, front-running attacks, and testing methodologies including fuzzing and formal verification.
## Datasets
| File | Records | Format | Description |
|------|---------|--------|-------------|
| `smart-contract-defi.json` | 1 | JSON | Smart contract security audit guide covering static analysis, common vulnerabilities, testing methodologies, and audit tools |
## Format Example
```json
{
"Instruction": "How to perform security audit of Ethereum smart contracts?",
"Input": "Audit a Solidity smart contract for vulnerabilities before deployment.",
"Output": "## Smart Contract Security Audit\n\n### Static Analysis\n...",
"Metadata": {
"category": "blockchain-security",
"tools": ["Slither", "Mythril", "Echidna", "Certora"],
"technique": "smart-contract-audit"
}
}
```
## Intended Use
This dataset is intended for:
- **Smart contract auditors** seeking security assessment methodologies
- **Training AI models** to understand blockchain security vulnerabilities
- **Building automated smart contract analysis tools**
- **Blockchain developers** learning about common vulnerability patterns
- **Security education** for understanding Web3 security challenges
### Limitations
- Smart contract security requires deep understanding of specific blockchain platforms
- This dataset focuses on Ethereum/Solidity but concepts apply to other platforms
- Formal verification tools require specialized expertise to use effectively

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