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Smart Contract Vulnerability Scanner

Smart Contract Vulnerability Scanner

An advanced smart contract vulnerability scanner that combines static analysis, dynamic testing, and machine learning to identify security vulnerabilities in blockchain smart contracts. This tool provides comprehensive security analysis for Solidity, Vyper, and other smart contract languages.

Features

  • Multi-Language Support - Solidity, Vyper, and other smart contract languages
  • Static Analysis - Advanced static code analysis for vulnerability detection
  • Dynamic Testing - Runtime testing and fuzzing capabilities
  • Machine Learning - ML-powered vulnerability pattern recognition
  • Gas Analysis - Comprehensive gas usage analysis and optimization
  • Compliance Checking - Industry standard compliance validation
  • Integration APIs - RESTful APIs for CI/CD integration
  • Custom Rules - Support for custom security rules and patterns

Vulnerability Detection

Critical Vulnerabilities

  • Reentrancy Attacks - Advanced reentrancy pattern detection
  • Integer Overflow/Underflow - Arithmetic vulnerability analysis
  • Access Control Issues - Permission and access control validation
  • Unchecked External Calls - Dangerous external interaction detection
  • Front-Running Vulnerabilities - MEV and front-running risk assessment

High Priority Issues

  • Storage Optimization - Storage layout and gas optimization analysis
  • Function Optimization - Gas-efficient function pattern suggestions
  • Event Emission - Transparency and logging validation
  • Error Handling - Comprehensive error handling analysis
  • Upgradeability Issues - Proxy and upgrade pattern validation

Medium Priority Issues

  • Code Quality - Code smell detection and anti-pattern identification
  • Documentation - NatSpec documentation compliance checking
  • Naming Conventions - Smart contract naming standard validation
  • Import Organization - Import structure and dependency analysis

Tech Stack

  • Core Engine: Python 3.9+ with custom parsers
  • Analysis Framework: Advanced static analysis with symbolic execution
  • Machine Learning: TensorFlow/PyTorch for vulnerability prediction
  • Blockchain Integration: Web3.py, Ethers.js for contract interaction
  • Database: PostgreSQL for vulnerability database
  • API Framework: FastAPI for RESTful APIs

Installation & Setup

  1. Clone the repository:

    git clone https://github.com/1cbyc/smart-contract-vulnerability-scanner.git
    cd smart-contract-vulnerability-scanner
    
  2. Install dependencies:

    pip install -r requirements.txt
    
  3. Set up database:

    python setup_database.py
    
  4. Configure the scanner:

    cp config.example.yaml config.yaml
    # Edit configuration with your preferences
    
  5. Run the scanner:

    python scanner.py --contract path/to/contract.sol
    

Usage Examples

Basic Contract Scan

python scanner.py --contract contracts/Token.sol

Comprehensive Analysis

python scanner.py \
  --contract contracts/ \
  --output detailed-report.html \
  --severity critical,high,medium \
  --include-gas-analysis \
  --include-ml-analysis

CI/CD Integration

# GitHub Actions workflow
- name: Smart Contract Security Scan
  run: |
    python scanner.py --contract contracts/ --output scan-report.json
    python scanner.py --validate-report scan-report.json --max-critical 0

API Usage

import requests

# Scan contract via API
response = requests.post('http://localhost:8000/scan', json={
    'contract': contract_source,
    'language': 'solidity',
    'options': {
        'severity': ['critical', 'high'],
        'include_gas_analysis': True
    }
})

results = response.json()

Machine Learning Features

Vulnerability Prediction

  • Pattern Recognition - ML models trained on known vulnerabilities
  • Anomaly Detection - Detection of unusual code patterns
  • Risk Scoring - Automated risk assessment and scoring
  • False Positive Reduction - ML-based false positive filtering

Training Data

  • Vulnerability Database - Curated database of known vulnerabilities
  • Code Corpus - Large dataset of smart contract code
  • Audit Reports - Professional audit reports for training
  • Community Contributions - Open source vulnerability contributions

Advanced Analysis

Symbolic Execution

  • Path Analysis - Analyzes all possible execution paths
  • State Exploration - Explores different contract states
  • Vulnerability Discovery - Discovers complex vulnerability patterns
  • Invariant Detection - Detects contract invariants and properties

Formal Verification

  • Model Checking - Formal model checking for contract properties
  • Theorem Proving - Automated theorem proving for security properties
  • Specification Validation - Validation of formal specifications
  • Correctness Proofs - Automated correctness proofs

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
  • GitHub Actions - CI/CD pipeline integration

Blockchain Platforms

  • Ethereum - Full Ethereum compatibility
  • Polygon - Polygon network support
  • BSC - Binance Smart Chain support
  • Other EVM Chains - Support for other EVM-compatible chains

Reporting and Analytics

Security Reports

  • Executive Summary - High-level security assessment
  • Technical Details - Detailed vulnerability information
  • Risk Assessment - Risk scoring and prioritization
  • Remediation Guidance - Step-by-step remediation instructions

Analytics Dashboard

  • Vulnerability Trends - Historical vulnerability analysis
  • Risk Metrics - Risk assessment and scoring metrics
  • Performance Analytics - Scanner performance metrics
  • Compliance Reports - Compliance and audit reports

Project Impact

This scanner has been used by:

  • DeFi Protocols - Pre-deployment security assessment
  • Security Auditors - Supporting professional audit processes
  • Development Teams - Integrating security into development workflows
  • Educational Institutions - Teaching smart contract security

Future Enhancements

  • Quantum Resistance - Post-quantum cryptography analysis
  • Cross-Chain Support - Multi-chain vulnerability analysis
  • Advanced ML Models - Enhanced machine learning capabilities
  • Real-time Monitoring - Continuous monitoring of deployed contracts
  • Automated Remediation - Automated vulnerability remediation suggestions