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Secure credential management

langflow-ai/langflow
Based on 3 comments
Other

Ensure sensitive data like API keys, passwords, and encryption keys are stored securely and never exposed in code, configuration files, or documentation. This prevents credential leakage and unauthorized access to external services and systems.

Security Other

Reviewer Prompt

Ensure sensitive data like API keys, passwords, and encryption keys are stored securely and never exposed in code, configuration files, or documentation. This prevents credential leakage and unauthorized access to external services and systems.

Key practices:

  • Store sensitive data in secure external systems (Kubernetes secrets, external secret managers, environment variables)
  • Avoid embedding secrets directly in configuration files, flow JSON files, or code
  • Use proper encryption for sensitive data at rest and in transit
  • Truncate or omit actual credential values in documentation and examples

Example secure configuration:

# Good: Reference secrets from secure storage
env:
  - name: OPENAI_API_KEY
    valueFrom:
      secretKeyRef:
        name: api-secrets
        key: openai-key
  - name: LANGFLOW_SECRET_KEY
    valueFrom:
      secretKeyRef:
        name: langflow-secrets
        key: secret-key

Example documentation:

# Good: Truncated example
LANGFLOW_SECRET_KEY=dBuu...2kM2_fb

# Bad: Full credential exposed
LANGFLOW_SECRET_KEY=dBuuuB_FHLvU8T9eUNlxQF9ppqRxwWpXXQ42kM2_fb

This practice is especially critical in production environments where credential exposure can lead to data breaches, unauthorized system access, and compromise of connected services.

3
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Other
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Security
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