# Security Policy

## Supported Versions

We actively maintain and provide security updates for the following versions:

| Version | Supported          | Status |
| ------- | ------------------ | ------ |
| 2.0.x   | ✅ Yes            | Active |
| 1.0.x   | ⚠️ Limited        | Legacy |

## Reporting a Vulnerability

### 🔐 **How to Report**

If you discover a security vulnerability in the Advanced US Freight Analytics Dashboard, please report it responsibly:

1. **DO NOT** open a public GitHub issue
2. **Email directly**: [Your Security Email]
3. **Include details**:
   - Description of the vulnerability
   - Steps to reproduce
   - Potential impact assessment
   - Suggested fix (if any)

### ⏱️ **Response Timeline**

- **Initial Response**: Within 48 hours
- **Vulnerability Assessment**: Within 1 week
- **Fix Timeline**: Critical issues within 2 weeks, others within 30 days
- **Public Disclosure**: After fix is deployed and tested

### 🛡️ **Security Measures**

#### **Data Protection**
- ✅ No sensitive personal data is collected
- ✅ All data sources are publicly available datasets
- ✅ No authentication or user data storage
- ✅ Client-side processing only

#### **Code Security**
- ✅ Input validation for all user inputs
- ✅ Secure file handling with error boundaries
- ✅ No code execution from user inputs
- ✅ Dependencies regularly updated

#### **Deployment Security**
- ✅ HTTPS encryption in production
- ✅ Streamlit Cloud security standards
- ✅ No exposed sensitive configurations
- ✅ Regular dependency vulnerability scans

### 🚨 **Known Security Considerations**

#### **Low Risk Items**
1. **File Uploads**: Not supported - reduces attack surface
2. **User Authentication**: Not implemented - no user data exposure
3. **Database Access**: No database connections - file-based only
4. **API Keys**: None required for current functionality

#### **Mitigation Strategies**
- Input sanitization for all data processing
- Error handling prevents information disclosure
- Rate limiting through Streamlit Cloud infrastructure
- Regular dependency updates via Dependabot

### 📊 **Data Privacy**

#### **Data Sources**
- USDA Agricultural Transportation (Public)
- Port Authority Websites (Public)
- Bureau of Transportation Statistics (Public)

#### **User Privacy**
- No personal information collected
- No cookies or tracking
- No user analytics beyond Streamlit defaults
- No data persistence between sessions

### 🔄 **Security Updates**

#### **Dependency Management**
```txt
# Security-focused requirements.txt
streamlit>=1.28.0     # Latest stable with security patches
pandas>=1.5.0         # Known vulnerability fixes
plotly>=5.0.0         # Security updates included
matplotlib>=3.5.0     # CVE fixes applied
numpy>=1.21.0         # Memory safety improvements
```

#### **Automated Security**
- GitHub Dependabot for dependency updates
- Regular security scanning via GitHub Security tab
- Automated vulnerability alerts

### 🆘 **Emergency Procedures**

#### **Critical Vulnerability Response**
1. **Immediate**: Take deployment offline if necessary
2. **Assessment**: Evaluate impact and develop fix
3. **Patching**: Deploy security patch within 24-48 hours
4. **Communication**: Notify users via GitHub and deployment platform
5. **Documentation**: Update security documentation

#### **Communication Channels**
- **GitHub Issues**: For non-security bugs
- **GitHub Security**: For vulnerability coordination
- **Email**: For sensitive security matters
- **Streamlit Cloud**: For deployment-related security issues

### ✅ **Security Checklist for Contributors**

Before submitting code:
- [ ] No hardcoded secrets or API keys
- [ ] Input validation for all user inputs
- [ ] Error handling doesn't expose sensitive information
- [ ] Dependencies are up-to-date
- [ ] No code execution from user-controlled data
- [ ] File operations are secure and bounded

### 📚 **Security Resources**

#### **Framework Security**
- [Streamlit Security](https://docs.streamlit.io/knowledge-base/deploy/authentication-without-sso)
- [Plotly Security Guidelines](https://plotly.com/python/security/)
- [Pandas Security Best Practices](https://pandas.pydata.org/docs/user_guide/gotchas.html)

#### **General Security**
- [OWASP Top 10](https://owasp.org/www-project-top-ten/)
- [Python Security](https://python-security.readthedocs.io/)
- [GitHub Security Advisories](https://github.com/advisories)

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**Thank you for helping keep our freight analytics platform secure!** 🔐🚛
