DO NOT create a public issue for security vulnerabilities!
If you discover a security vulnerability in ImageOSINT, please email security@example.com with:
- Description of the vulnerability
- Steps to reproduce the issue
- Impact assessment (what could an attacker do)
- Suggested fixes (if you have any)
- Your contact information for follow-up
We will respond to security reports within 48 hours and work with you to:
- Understand the issue
- Develop and test a fix
- Prepare a security advisory
- Coordinate the vulnerability disclosure
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Keep Software Updated
- Regularly update ImageOSINT
- Update Docker images
- Update Python dependencies
-
Secure Configuration
- Change default passwords
- Use strong JWT secrets
- Configure proper CORS origins
- Enable HTTPS in production
-
Access Control
- Use strong, unique passwords
- Implement rate limiting
- Monitor access logs
- Use API keys for programmatic access
-
Data Protection
- Enable database encryption
- Use HTTPS/TLS
- Securely backup data
- Encrypt sensitive data at rest
-
Code Security
# ✅ DO: Use parameterized queries from sqlalchemy import text result = db.execute(text("SELECT * FROM users WHERE id = :id"), {"id": user_id}) # ❌ DON'T: Use string concatenation result = db.execute(f"SELECT * FROM users WHERE id = {user_id}")
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Authentication
# ✅ DO: Hash passwords with bcrypt from passlib.context import CryptContext pwd_context = CryptContext(schemes=["bcrypt"]) hashed = pwd_context.hash(password) # ❌ DON'T: Store plain text passwords db.save(plain_password)
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Input Validation
# ✅ DO: Validate with Pydantic from pydantic import BaseModel, EmailStr class User(BaseModel): email: EmailStr username: str # ❌ DON'T: Trust user input email = request.form.get("email")
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Error Handling
# ✅ DO: Don't expose internal details raise HTTPException(status_code=400, detail="Invalid request") # ❌ DON'T: Expose stack traces raise Exception(f"Database error: {exc}")
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Secrets Management
# ✅ DO: Use environment variables import os secret = os.getenv("JWT_SECRET") # ❌ DON'T: Hardcode secrets secret = "hardcoded_secret_key"
None currently known. If you find one, please report it using the process above.
We release security updates for:
- Critical vulnerabilities: Within 24 hours
- High severity: Within 1 week
- Medium severity: Within 2 weeks
- Low severity: In next regular release
- ✅ JWT token-based authentication
- ✅ Password hashing with bcrypt
- ✅ SQL injection protection via ORM
- ✅ CORS configuration
- ✅ Rate limiting
- ✅ Input validation with Pydantic
- ✅ HTTPS ready configuration
- ✅ Secure headers support
- ✅ Request logging and audit trail
- ✅ Session management
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HTTPS/TLS
- Use valid SSL/TLS certificates
- Enforce HTTPS redirects
- Set HSTS headers
-
Database Security
- Use strong credentials
- Enable connection encryption
- Implement least privilege access
- Regular backups
-
Infrastructure
- Use VPN for remote access
- Implement WAF (Web Application Firewall)
- Monitor logs and alerts
- Regular security audits
-
Dependencies
- Regular updates using
pip list --outdated - Vulnerability scanning with
safety - Pin major versions in requirements.txt
- Regular updates using
# Install safety
pip install safety
# Check for known vulnerabilities
safety check# Install pip-audit
pip install pip-audit
# Audit dependencies
pip-audit- Broken Access Control: JWT tokens + role-based access
- Cryptographic Failures: Bcrypt hashing + HTTPS
- Injection: Parameterized ORM queries
- Insecure Design: Threat modeling done
- Security Misconfiguration: Default secure config
- Vulnerable Components: Dependency management
- Authentication Failures: Secure token handling
- Data Integrity Failures: Input validation
- Logging & Monitoring: Audit trail logging
- SSRF: Request validation
We appreciate the security research community and responsible disclosure. Thank you to those who responsibly report vulnerabilities!
For security-related questions:
- Email: security@example.com
- PGP Key: [Available on request]
Last Updated: 2024-04-13 Version: 1.0