A comprehensive Solidity vulnerability assessment tool designed for Web3 developers and security researchers. This tool provides deep analysis of smart contracts, identifying security vulnerabilities, gas optimization opportunities, and compliance issues.
Features
- Advanced Vulnerability Detection - Identifies complex security issues in Solidity contracts
- Gas Analysis - Comprehensive gas usage analysis and optimization suggestions
- Compliance Checking - Validates contracts against industry standards and best practices
- Interactive Reports - Detailed, interactive security reports with remediation guidance
- Integration Support - Seamless integration with development workflows and CI/CD pipelines
- Custom Rule Engine - Support for custom security rules and patterns
- Multi-Contract Analysis - Analyzes entire contract ecosystems and dependencies
Security Analysis Capabilities
Critical Vulnerabilities
- Reentrancy Attacks - Advanced detection of reentrancy patterns
- Integer Overflow/Underflow - Comprehensive arithmetic vulnerability analysis
- Access Control Issues - Detailed access control mechanism validation
- Unchecked External Calls - Analysis of dangerous external interactions
- Front-Running Vulnerabilities - Detection of MEV and front-running risks
High Priority Issues
- Storage Optimization - Advanced storage layout analysis
- Function Optimization - Gas-efficient function pattern suggestions
- Event Emission - Transparency and logging validation
- Error Handling - Comprehensive error handling analysis
Medium Priority Issues
- Code Quality - Code smell detection and anti-pattern identification
- Documentation - NatSpec documentation compliance checking
- Naming Conventions - Solidity naming standard validation
- Import Organization - Import structure optimization
Tech Stack
- Core Engine: Python 3.9+ with custom Solidity parser
- Analysis Framework: Advanced static analysis with symbolic execution
- Vulnerability Database: Curated database of known Web3 vulnerabilities
- Reporting Engine: Multi-format reporting (HTML, JSON, PDF, Markdown)
- Integration APIs: RESTful API for custom integrations
Installation & Setup
-
Clone the repository:
git clone https://github.com/1cbyc/web3-secure-audit.git cd web3-secure-audit
-
Install dependencies:
pip install -r requirements.txt
-
Configure the tool:
cp config.example.yaml config.yaml # Edit configuration file with your preferences
-
Run analysis:
python web3_audit.py --contract path/to/contract.sol
Usage Examples
Basic Contract Analysis
python web3_audit.py --contract contracts/Token.sol
Comprehensive Project Analysis
python web3_audit.py \
--project contracts/ \
--output detailed-report.html \
--severity critical,high,medium \
--include-gas-analysis \
--include-compliance-check
CI/CD Integration
# GitHub Actions workflow
- name: Web3 Security Audit
run: |
python web3_audit.py --project contracts/ --output audit-report.json
python web3_audit.py --validate-report audit-report.json --max-critical 0
Sample Analysis Output
{
"contract": "Token.sol",
"analysis_date": "2024-01-25T14:30:00Z",
"security_score": 85,
"vulnerabilities": [
{
"severity": "critical",
"type": "reentrancy",
"line": 67,
"function": "withdraw",
"description": "Potential reentrancy vulnerability in withdraw function",
"impact": "High - Could lead to fund drainage",
"recommendation": "Implement ReentrancyGuard or use checks-effects-interactions pattern",
"code_snippet": "function withdraw() public { ... }"
}
],
"gas_analysis": {
"total_gas": 180000,
"optimization_opportunities": 5,
"estimated_savings": "30%",
"recommendations": [
"Use unchecked blocks for arithmetic operations",
"Optimize storage layout",
"Combine multiple external calls"
]
},
"compliance": {
"erc20_compliant": true,
"best_practices_score": 78,
"documentation_score": 65
}
}
Advanced Features
Symbolic Execution
- Path Analysis - Analyzes all possible execution paths
- State Exploration - Explores different contract states
- Vulnerability Discovery - Discovers complex vulnerability patterns
Machine Learning Integration
- Pattern Recognition - ML-powered vulnerability pattern detection
- Risk Assessment - Automated risk scoring based on historical data
- False Positive Reduction - Advanced filtering to reduce false positives
Custom Rule Engine
# Custom security rule example
rules:
- name: "Custom Access Control"
pattern: "function admin.*()"
check: "has_modifier('onlyOwner')"
severity: "high"
message: "Admin functions should have proper access control"
Integration Capabilities
Development Tools
- VS Code Extension - Real-time vulnerability detection
- IDE Plugins - Support for popular development environments
- Pre-commit Hooks - Automated scanning before commits
- API Integration - RESTful API for custom tooling
CI/CD Pipelines
- GitHub Actions - Automated scanning on pull requests
- GitLab CI - GitLab pipeline integration
- Jenkins - Custom Jenkins pipeline support
- Azure DevOps - Azure pipeline integration
Project Impact
This tool has been adopted by:
- DeFi Protocols - Ensuring security before mainnet deployment
- Security Auditors - Supporting manual audit processes
- Development Teams - Integrating security into development workflows
- Educational Institutions - Teaching blockchain security concepts
Future Roadmap
- AI-Powered Analysis - Advanced AI for vulnerability detection
- Formal Verification - Integration with formal verification tools
- Multi-Language Support - Support for other smart contract languages
- Real-time Monitoring - Continuous monitoring of deployed contracts
- Advanced Visualization - Interactive vulnerability visualization tools