Security Audit Procedures¶
This document outlines the security audit procedures for Neutryx Core.
Overview¶
Neutryx Core is research-oriented software designed for quantitative finance modeling, pricing, and risk analysis. While it is not intended for production use without thorough review, we take security seriously and maintain security best practices.
Vulnerability Reporting¶
How to Report¶
If you discover a security vulnerability in Neutryx Core, please report it responsibly:
- Do NOT open a public GitHub issue
- Email the security team at: dev@neutryx.tech
- Include:
- Description of the vulnerability
- Steps to reproduce
- Potential impact
- Suggested fix (if available)
Response Timeline¶
- Initial Response: Within 48 hours
- Status Update: Within 7 days
- Fix Timeline: Depends on severity (critical issues prioritized)
- Public Disclosure: After fix is released and users have had time to update
Severity Levels¶
- Critical: Remote code execution, privilege escalation, data breach
- High: Authentication bypass, injection vulnerabilities, exposure of sensitive data
- Medium: DoS vulnerabilities, information disclosure
- Low: Minor issues with limited impact
Security Best Practices¶
For Contributors¶
- Input Validation
- Validate all external inputs
- Use type hints and runtime validation (pydantic)
-
Sanitize data before processing
-
Dependency Management
- Keep dependencies up to date
- Review dependency security advisories
- Use Dependabot for automated updates
-
Pin versions in requirements.txt
-
Code Review
- All code must be reviewed before merging
- Security-sensitive changes require additional review
-
Use static analysis tools (ruff, mypy)
-
Testing
- Include security test cases
- Test edge cases and boundary conditions
-
Fuzz test critical inputs
-
Secrets Management
- Never commit secrets, API keys, or credentials
- Use environment variables for sensitive configuration
- Add patterns to .gitignore to prevent accidental commits
For Users¶
- Environment Isolation
- Run Neutryx Core in isolated environments (containers, VMs)
- Use separate environments for development and production
-
Limit network access where possible
-
Dependency Security
- Regularly update dependencies
- Review security advisories
-
Use virtual environments to isolate dependencies
-
Data Protection
- Do not process sensitive production data without proper review
- Ensure proper access controls on data files
-
Use encryption for sensitive data at rest and in transit
-
Configuration Security
- Review configuration files for sensitive information
- Use secure defaults
- Validate configuration inputs
Security Checklist¶
Before Public Release¶
- [x] Remove all hardcoded credentials
- [x] Review and update .gitignore
- [x] Enable Dependabot security updates
- [ ] Set up automated security scanning (CodeQL, Snyk)
- [x] Document security procedures
- [x] Establish vulnerability reporting process
- [ ] Review all external dependencies for known vulnerabilities
- [ ] Conduct code review focusing on security
Ongoing Maintenance¶
- [ ] Regular dependency updates
- [ ] Monitor security advisories
- [ ] Review and respond to security reports
- [ ] Update security documentation
- [ ] Conduct periodic security audits
Known Security Considerations¶
Computational Resources¶
- Risk: JAX code can consume significant GPU/CPU resources
- Mitigation:
- Set resource limits in deployment environments
- Implement timeouts for long-running operations
- Monitor resource usage
Numerical Precision¶
- Risk: Floating-point arithmetic can lead to precision issues
- Mitigation:
- Validate numerical outputs
- Use appropriate precision for calculations
- Test edge cases and boundary conditions
Serialization¶
- Risk: Pickle and other serialization methods can execute arbitrary code
- Mitigation:
- Never deserialize untrusted data
- Use safe serialization formats (JSON, YAML)
- Validate deserialized data
External Dependencies¶
- Risk: Third-party dependencies may contain vulnerabilities
- Mitigation:
- Regular updates via Dependabot
- Security scanning with GitHub Advanced Security
- Minimal dependency footprint
Compliance¶
Open Source License¶
Neutryx Core is licensed under the MIT License. See the LICENSE file in the repository root for details.
Data Privacy¶
- Neutryx Core does not collect or transmit user data
- All computations are performed locally
- Users are responsible for their own data security
Export Controls¶
Neutryx Core contains cryptographic functionality only for research purposes and standard secure communications. Users are responsible for compliance with export control regulations in their jurisdiction.
Audit History¶
Version 0.1.0 (Initial Release)¶
- Date: January 2025
- Scope: Initial security review
- Findings: No critical security issues identified
- Actions: Established security procedures and documentation
Future Audits¶
We plan to conduct security audits: - Before each major release (1.0, 2.0, etc.) - After significant architectural changes - In response to security incidents - At least annually
Security Resources¶
Tools & Scanning¶
- Static Analysis: ruff, mypy, bandit
- Dependency Scanning: Dependabot, pip-audit
- Code Scanning: GitHub CodeQL (recommended)
- Container Scanning: trivy, grype (if using containers)
References¶
Security Team¶
For security inquiries, contact:
- Email: dev@neutryx.tech
- PGP Key: Available upon request
- GitHub: @neutryx-lab
Acknowledgments¶
We thank the security research community for responsible disclosure and helping keep Neutryx Core secure.
Last Updated: January 2025 Version: 0.1.0
For questions about this security policy, please contact dev@neutryx.tech