Security Policy
Supported Versions
The following versions of CODITECT Document Management System are currently supported with security updates:
| Version | Supported | Status |
|---|---|---|
| 0.1.x | ✅ | Active Development |
| < 0.1 | ❌ | Not Released |
Note: As this project is in active development (v0.1.0), security updates are applied to the current development version only.
Reporting a Vulnerability
We take the security of the CODITECT Document Management System seriously. If you discover a security vulnerability, please follow the responsible disclosure process outlined below.
Where to Report
DO NOT open a public GitHub issue for security vulnerabilities.
Instead, report security issues to:
Email: security@az1.ai Subject: [SECURITY] CODITECT Document Management - [Brief Description]
What to Include
Please include the following information in your report:
- Description - Clear description of the vulnerability
- Impact - Potential impact and severity assessment
- Steps to Reproduce - Detailed steps to reproduce the issue
- Proof of Concept - Code or screenshots demonstrating the vulnerability
- Affected Versions - Which versions are affected
- Suggested Fix - If you have a suggested remediation (optional)
- Contact Information - Your preferred contact method for follow-up
Example Report
Subject: [SECURITY] CODITECT Document Management - SQL Injection in Search API
Description:
The /documents/search endpoint is vulnerable to SQL injection through the
'query' parameter when using raw SQL queries.
Impact:
HIGH - Allows unauthorized access to database contents and potential data
exfiltration.
Steps to Reproduce:
1. Send POST request to /documents/search
2. Use payload: {"query": "' OR 1=1; --"}
3. Observe unauthorized data returned
Proof of Concept:
curl -X POST http://localhost:8000/documents/search \
-H "Content-Type: application/json" \
-d '{"query": "'\'' OR 1=1; --"}'
Affected Versions:
v0.1.0 and earlier
Suggested Fix:
Use parameterized queries or ORM query builders instead of raw SQL.
Contact:
researcher@example.com
Response Timeline
- Initial Response: Within 48 hours of report submission
- Severity Assessment: Within 5 business days
- Fix Development: Depends on severity (see below)
- Public Disclosure: After patch is released and users notified
Severity Levels and Response Times
| Severity | Response Time | Description |
|---|---|---|
| Critical | 24-48 hours | Remote code execution, authentication bypass, data breach |
| High | 3-5 days | SQL injection, XSS, CSRF, privilege escalation |
| Medium | 1-2 weeks | Information disclosure, DoS, session fixation |
| Low | 2-4 weeks | Security misconfigurations, minor information leaks |
Security Best Practices
For Developers
Authentication & Authorization
- Always use JWT tokens for API authentication
- Implement Role-Based Access Control (RBAC) for all endpoints
- Never store passwords in plaintext - use bcrypt/argon2
- Validate and sanitize all user input
- Use API keys with proper rotation policies
Example (Python):
from src.backend.security.jwt_token_service import JWTTokenService
from src.backend.security.rbac_service import RBACService
# Authenticate user
token = jwt_service.generate_token(user_id=user.id)
# Check permissions
if not rbac_service.has_permission(user, "document:read"):
raise HTTPException(status_code=403, detail="Forbidden")
Input Validation
- Use Pydantic models for request validation
- Sanitize all database queries (use ORM, avoid raw SQL)
- Validate file uploads (type, size, content)
- Escape output to prevent XSS
Example (Python):
from pydantic import BaseModel, Field, validator
class DocumentSearchRequest(BaseModel):
query: str = Field(..., max_length=500)
limit: int = Field(10, ge=1, le=100)
@validator('query')
def validate_query(cls, v):
if not v.strip():
raise ValueError('Query cannot be empty')
# Additional sanitization
return v.strip()
Database Security
- Use connection pooling with proper limits
- Enable SSL/TLS for database connections
- Use read-only database users for queries when possible
- Regular database backups with encryption
- Never log sensitive data (passwords, tokens, PII)
API Security
- Implement rate limiting on all endpoints
- Use HTTPS/TLS for all API communication
- Enable CORS with strict origin validation
- Implement request/response size limits
- Add security headers (CSP, HSTS, X-Frame-Options)
Example (FastAPI):
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.middleware.trustedhost import TrustedHostMiddleware
app = FastAPI()
# CORS configuration
app.add_middleware(
CORSMiddleware,
allow_origins=["https://yourdomain.com"],
allow_credentials=True,
allow_methods=["GET", "POST"],
allow_headers=["*"],
)
# Trusted hosts
app.add_middleware(
TrustedHostMiddleware,
allowed_hosts=["yourdomain.com", "*.yourdomain.com"]
)
For Deployment
Infrastructure Security
- Use private networks for database and Redis
- Enable firewall rules (minimal ports open)
- Regular security patches and updates
- Container image scanning for vulnerabilities
- Kubernetes network policies enabled
Secrets Management
- Use Google Cloud Secret Manager for production secrets
- Never commit secrets to git (.env files gitignored)
- Rotate secrets regularly (90 days for high-sensitivity)
- Use different secrets for dev/staging/production
Monitoring & Logging
- Enable audit logging for all security events
- Monitor for suspicious activity (failed logins, rate limit violations)
- Set up alerts for security incidents
- Regular security log reviews
Security Features
Current Implementation
- JWT Authentication - Token-based authentication with expiration
- RBAC - Role-based access control for fine-grained permissions
- API Key Management - Secure API key generation and validation
- Rate Limiting - Configurable rate limits per endpoint
- Session Management - Redis-backed session storage
- Input Validation - Pydantic models for request validation
- Error Handling - Secure error messages (no sensitive data leaks)
Roadmap
- Multi-factor authentication (MFA)
- OAuth 2.0 / OpenID Connect integration
- End-to-end encryption for sensitive documents
- Audit logging with tamper detection
- Security scanning in CI/CD pipeline
- Penetration testing
- OWASP Top 10 compliance verification
Known Security Considerations
Development Phase (v0.1.0)
Current Status: Active development - NOT production-ready
- Security features are implemented but not fully tested
- No external security audit has been performed
- Use only in development/staging environments
- Do not use with production data
Before Production Use:
- Complete security audit by qualified professionals
- Penetration testing
- Load testing with security scenarios
- Review and harden all configurations
- Implement monitoring and alerting
- Create incident response plan
Security Compliance
Standards and Frameworks
This project aims to comply with:
- OWASP Top 10 - Web application security risks
- NIST Cybersecurity Framework - Security and privacy controls
- CIS Benchmarks - Security configuration best practices
- GDPR - Data protection and privacy (where applicable)
- SOC 2 - Security, availability, confidentiality (target for v1.0)
Compliance Status
| Standard | Status | Target |
|---|---|---|
| OWASP Top 10 | In Progress | v1.0 |
| NIST CSF | Planned | v1.0 |
| CIS Benchmarks | Planned | v1.0 |
| GDPR | Partial | v1.0 |
| SOC 2 | Not Started | Post v1.0 |
Security Contacts
Primary Contact: security@az1.ai General Support: support@az1.ai Website: https://az1.ai
Response Hours: Monday-Friday, 9 AM - 5 PM PST Emergency Contact: For critical security issues, mark email as [URGENT]
Acknowledgments
We appreciate the security research community's efforts in responsible disclosure. Security researchers who report valid vulnerabilities will be acknowledged in our Security Hall of Fame (with permission).
Hall of Fame: Coming soon (post v1.0 release)
Additional Resources
- OWASP Top 10
- NIST Cybersecurity Framework
- CIS Benchmarks
- Python Security Best Practices
- FastAPI Security
Last Updated: December 19, 2025 Version: 1.0 Status: Active Development Next Review: March 2026