# Security Policy

## Overview

LogSentinelAI is an AI-powered log analysis tool that processes sensitive log data and integrates with external LLM providers and Elasticsearch. We take security seriously and appreciate the community's help in identifying and responsibly disclosing security vulnerabilities.

## Supported Versions

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

| Version | Supported          | Status |
| ------- | ------------------ | ------ |
| 0.2.x   | :white_check_mark: | Current stable release |
| 0.1.x   | :warning:          | Legacy support (critical security fixes only) |
| < 0.1   | :x:                | No longer supported |

## Security Considerations

### Data Sensitivity
LogSentinelAI processes potentially sensitive log data that may contain:
- IP addresses and network information
- User agents and system identifiers
- Application error messages
- Authentication attempts and failures

### External Dependencies
The tool integrates with external services that require security considerations:
- **LLM Providers**: OpenAI API, Ollama, vLLM
- **Elasticsearch**: Log storage and indexing
- **SSH Connections**: Remote log access
- **GeoIP Services**: MaxMind GeoLite2 database

### Configuration Security
- API keys and credentials must be properly secured
- SSH keys should be used instead of passwords when possible
- Elasticsearch credentials should follow least-privilege principles

## Reporting Security Vulnerabilities

### What to Report
Please report any security vulnerabilities you discover, including but not limited to:

- **Authentication bypass**: Unauthorized access to log data or system functions
- **Injection vulnerabilities**: SQL injection, command injection, or prompt injection
- **Data exposure**: Unintended disclosure of sensitive log data or credentials
- **Privilege escalation**: Unauthorized elevation of user permissions
- **Denial of Service**: Vulnerabilities that could crash or significantly slow the system
- **Dependency vulnerabilities**: Security issues in third-party libraries
- **Configuration flaws**: Insecure default configurations or settings

### How to Report

**🔒 Private Disclosure (Preferred)**

For security vulnerabilities, please **DO NOT** create public GitHub issues. Instead, use one of these secure channels:

1. **Email**: Send a detailed report to [call518@gmail.com](mailto:call518@gmail.com)
   - Use the subject line: `[SECURITY] LogSentinelAI Vulnerability Report`
   - Include "CONFIDENTIAL" in the email body

2. **GitHub Security Advisories**: Use GitHub's private vulnerability reporting
   - Go to the [Security tab](https://github.com/call518/LogSentinelAI/security) in our repository
   - Click "Report a vulnerability"
   - Fill out the advisory form

### Information to Include

Please provide the following information in your security report:

1. **Vulnerability Type**: Brief description of the vulnerability category
2. **Impact Assessment**: Potential security impact and affected components
3. **Affected Versions**: Which versions of LogSentinelAI are affected
4. **Reproduction Steps**: Clear steps to reproduce the vulnerability
5. **Proof of Concept**: Code, commands, or screenshots demonstrating the issue
6. **Suggested Fix**: If you have ideas for remediation (optional)
7. **Discovery Timeline**: When you discovered the vulnerability

### Example Report Template

```
Subject: [SECURITY] LogSentinelAI Vulnerability Report - [Brief Description]

CONFIDENTIAL SECURITY REPORT

Vulnerability Type: [e.g., Authentication Bypass]
Severity: [Critical/High/Medium/Low]
Affected Versions: [e.g., 0.2.0 - 0.2.3]

Description:
[Detailed description of the vulnerability]

Impact:
[What an attacker could achieve by exploiting this]

Reproduction Steps:
1. [Step 1]
2. [Step 2]
3. [Step 3]

Proof of Concept:
[Code, commands, or screenshots]

Suggested Fix:
[Your recommendations, if any]

Additional Notes:
[Any other relevant information]
```

## Response Process

### Our Commitment
- **Acknowledgment**: We will acknowledge receipt of your report within **48 hours**
- **Initial Assessment**: We will provide an initial assessment within **5 business days**
- **Regular Updates**: We will provide regular updates on investigation progress
- **Resolution Timeline**: We aim to resolve critical vulnerabilities within **30 days**

### Disclosure Timeline
1. **Day 0**: Vulnerability reported
2. **Day 1-2**: Acknowledgment sent
3. **Day 3-7**: Initial assessment and triage
4. **Day 8-30**: Investigation, fix development, and testing
5. **Day 31**: Coordinated disclosure (if fix is ready)
6. **Day 90**: Public disclosure (maximum timeline)

### Severity Classification

| Severity | Description | Response Time |
|----------|-------------|---------------|
| **Critical** | Immediate risk to data confidentiality, integrity, or availability | 24-48 hours |
| **High** | Significant security impact with clear exploitation path | 3-5 days |
| **Medium** | Notable security concern requiring investigation | 1-2 weeks |
| **Low** | Minor security improvement or hardening opportunity | 2-4 weeks |

## Security Best Practices

### For Users

#### Configuration Security
```bash
# Use environment variables for sensitive data
export OPENAI_API_KEY="your-api-key-here"

# Secure file permissions for configuration
chmod 600 config

# Use SSH keys instead of passwords
ssh-keygen -t ed25519 -f ~/.ssh/logsentinel_key
```

#### Network Security
- Use HTTPS/TLS for all external API connections
- Implement proper firewall rules for Elasticsearch
- Consider VPN or SSH tunneling for remote log access

#### Access Control
- Follow least-privilege principles for system access
- Regularly rotate API keys and credentials
- Monitor access logs for unusual activity

### For Developers

#### Secure Development
- All user inputs must be properly validated and sanitized
- Use parameterized queries for database operations
- Implement proper error handling without information disclosure
- Regular dependency updates and security scanning

#### Code Review Guidelines
- Security-focused code reviews for authentication/authorization code
- Validation of all external data sources
- Review of credential handling and storage
- Assessment of logging practices to avoid sensitive data exposure

## Security Features

### Current Security Measures
- **Input Validation**: Comprehensive validation of log data and user inputs
- **Credential Management**: Support for environment variables and secure storage
- **Access Control**: SSH key-based authentication for remote access
- **Data Sanitization**: Automatic removal of sensitive patterns in outputs
- **Secure Defaults**: Security-focused default configurations

### Planned Security Enhancements
- **Enhanced Input Sanitization**: Improved detection and handling of malicious log entries
- **Audit Logging**: Comprehensive audit trail for all analysis activities
- **Role-Based Access**: More granular access control mechanisms
- **Data Encryption**: Encryption at rest for sensitive configuration data

## Security Resources

### Dependencies
We regularly monitor and update our dependencies for security vulnerabilities:
- **Python Security**: Monitor Python CVE database
- **PyPI Dependencies**: Use tools like `safety` for vulnerability scanning
- **LLM Providers**: Follow security advisories from OpenAI, Ollama, etc.

### Security Tools
- **Dependency Scanning**: Automated security scanning in CI/CD
- **Static Analysis**: Code security analysis tools
- **Container Security**: Docker image vulnerability scanning

## Acknowledgments

We appreciate the security research community and will acknowledge security researchers who report vulnerabilities responsibly:

- **Hall of Fame**: Public recognition for significant security contributions
- **Coordinated Disclosure**: Proper attribution in security advisories
- **Communication**: Direct communication channel for ongoing security research

### Recognition Policy
- Researchers who follow responsible disclosure will be publicly acknowledged
- Recognition will be provided in release notes and security advisories
- We support coordinated disclosure timelines that balance security and transparency

## Contact Information

### Security Team
- **Primary Contact**: [call518@gmail.com](mailto:call518@gmail.com)
- **PGP Key**: Available upon request for encrypted communication
- **Response Language**: English, Korean

### Emergency Contact
For critical security issues requiring immediate attention:
- **Email**: [call518@gmail.com](mailto:call518@gmail.com) with subject `[URGENT SECURITY]`
- **Expected Response**: Within 24 hours

## Legal

### Safe Harbor
We support responsible security research and will not pursue legal action against researchers who:
- Follow our responsible disclosure guidelines
- Do not access, modify, or delete user data
- Do not intentionally degrade service performance
- Do not perform testing against production systems without permission

### Scope
This security policy applies to:
- LogSentinelAI source code and releases
- Official deployment guides and configurations
- Integration examples and documentation

This policy does not cover:
- Third-party services (LLM providers, Elasticsearch instances)
- User-deployed instances or configurations
- Issues in dependencies that we don't control

---

**Last Updated**: January 2025  
**Version**: 1.0  
**Next Review**: July 2025

Thank you for helping keep LogSentinelAI and our community safe! 🔒
