We actively support the following versions of Terraform Analyzer with security updates:

We take security vulnerabilities seriously. If you discover a security vulnerability in Terraform Analyzer, please report it responsibly.

DO NOT create a public GitHub issue for security vulnerabilities.

Instead, please report security vulnerabilities by:

1. Email: Send details to core-devops@lftechnology.com
2. GitHub Security Advisory: Use GitHub's private vulnerability reporting feature
3. Encrypted Communication: Use our PGP key for sensitive information

When reporting a vulnerability, please include:

• Description: Clear description of the vulnerability
• Impact: Potential impact and attack scenarios
• Reproduction: Step-by-step reproduction instructions
• Environment: Affected versions and configurations
• Proof of Concept: Code or screenshots (if applicable)
• Suggested Fix: If you have ideas for remediation

• Initial Response: Within 24 hours
• Vulnerability Assessment: Within 72 hours
• Fix Development: 1-2 weeks (depending on severity)
• Public Disclosure: After fix is released and users have time to update

OpenAI API Keys:

• Store securely in GitHub Secrets
• Use environment variables, never hardcode
• Rotate keys regularly
• Monitor usage for anomalies

AWS Credentials:

• Use OIDC/IAM roles instead of access keys
• Follow principle of least privilege
• Enable CloudTrail logging
• Regular access reviews

Infracost API Keys:

• Store in GitHub Secrets
• Monitor usage limits
• Rotate periodically

Terraform State:

• Use remote state with encryption
• Enable state locking with DynamoDB
• Restrict access to state files
• Regular state backups

AWS Resources:

• Follow AWS security best practices
• Enable VPC flow logs
• Use security groups restrictively
• Enable AWS Config for compliance

Dependencies:

• Regular dependency updates
• Vulnerability scanning with Dependabot
• Pin dependency versions
• Review third-party packages

AI Integration:

• Sanitize inputs to OpenAI API
• Validate AI-generated code before applying
• Log AI interactions for audit
• Rate limiting to prevent abuse

Workflow Security:

• Use pinned action versions
• Minimize permissions (principle of least privilege)
• Secure secrets handling
• Environment protection rules

Repository Security:

• Branch protection rules
• Required status checks
• Signed commits (recommended)
• Regular access reviews

1. Secrets Management

   # ✅ Good - Use GitHub Secrets
   openai-api-key: ${{ secrets.OPENAI_API_KEY }}
   
   # ❌ Bad - Never hardcode secrets
   openai-api-key: "sk-1234567890abcdef"

2. IAM Permissions

   {
     "Version": "2012-10-17",
     "Statement": [
       {
         "Effect": "Allow",
         "Action": [
           "s3:GetObject",
           "s3:PutObject"
         ],
         "Resource": "arn:aws:s3:::your-bucket/*"
       }
     ]
   }

3. Network Security

   • Use private subnets for resources
   • Implement proper security groups
   • Enable VPC endpoints where applicable

1. Code Review

   • Review all code changes for security implications
   • Check for hardcoded secrets or credentials
   • Validate input sanitization

2. Testing

   • Test with minimal permissions
   • Validate error handling
   • Check for information disclosure

3. Documentation

   • Document security considerations
   • Provide secure configuration examples
   • Update security guidelines

We follow responsible disclosure practices:

1. Private Reporting: Initial report kept confidential
2. Investigation: We investigate and develop fixes
3. Coordination: Work with reporter on timeline
4. Public Disclosure: After fix is available and deployed

We acknowledge security researchers who responsibly report vulnerabilities:

• Hall of Fame: Recognition in our security acknowledgments
• CVE Assignment: For significant vulnerabilities
• Coordination: Work together on public disclosure

Stay informed about security updates:

• GitHub Security Advisories: Automatic notifications
• Release Notes: Security fixes highlighted
• Email Notifications: For critical vulnerabilities

When security updates are released:

1. Review Release Notes: Understand the security impact
2. Test in Non-Production: Validate fixes in safe environment
3. Deploy Quickly: Apply security updates promptly
4. Monitor: Watch for any issues after deployment

We align with industry security standards:

• OWASP Top 10: Web application security risks
• NIST Cybersecurity Framework: Risk management
• CIS Controls: Critical security controls
• AWS Security Best Practices: Cloud security guidelines

Regular security practices:

• Dependency Scanning: Automated vulnerability detection
• Code Analysis: Static security analysis
• Access Reviews: Regular permission audits
• Incident Response: Documented response procedures

• Email: core-devops@lftechnology.com
• Response Time: 24 hours for initial response
• Escalation: For urgent issues, mark email as "URGENT SECURITY"

For encrypted communications:

-----BEGIN PGP PUBLIC KEY BLOCK-----
[PGP Key would be here in real implementation]
-----END PGP PUBLIC KEY BLOCK-----

We provide safe harbor for security researchers who:

• Report vulnerabilities responsibly
• Do not access or modify user data
• Do not disrupt our services
• Follow coordinated disclosure practices

This security policy covers:

• Terraform Analyzer Core: Main application and scripts
• GitHub Actions: Workflow and action definitions
• Documentation: Security-related guidance
• Dependencies: Third-party packages and integrations

Security is a shared responsibility. Thank you for helping keep Terraform Analyzer and our community safe! 🔒