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Fix secret references in INCIDENT_RESPONSE.md to match actual DocsGPT config
Agent-Logs-Url: https://github.com/arc53/DocsGPT/sessions/c6bfd68d-4dac-46ec-8404-fe5bfda0e8f3 Co-authored-by: dartpain <15183589+dartpain@users.noreply.github.com>
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@@ -52,7 +52,7 @@ This playbook describes how maintainers respond to confirmed or suspected securi
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### Supply-chain compromise
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1. Freeze releases and investigate blast radius.
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2. Rotate credentials in order: Docker Hub -> GitHub tokens -> LLM provider keys -> DB credentials -> Flask `SECRET_KEY` and `INTERNAL_KEY`.
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2. Rotate credentials in order: Docker Hub -> GitHub tokens -> LLM provider keys -> DB credentials -> `JWT_SECRET_KEY` -> `ENCRYPTION_SECRET_KEY` -> `INTERNAL_KEY`.
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3. Replace compromised artifacts/tags with clean releases and revoke/remove bad tags where possible.
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4. Publish advisory with exact affected versions and required user actions.
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@@ -85,8 +85,9 @@ Treat confirmed AI-specific abuse as security incidents:
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| GitHub tokens/PATs | Revoke/replace in GitHub; update automation secrets |
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| LLM provider API keys | Rotate in provider console; update runtime/deploy secrets |
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| Database credentials | Rotate in DB platform; redeploy with new secrets |
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| Flask `SECRET_KEY` | Rotate and redeploy (invalidates active sessions) |
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| Flask `INTERNAL_KEY` | Rotate and redeploy (invalidates active sessions) |
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| `JWT_SECRET_KEY` | Rotate and redeploy (invalidates all active user sessions/tokens) |
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| `ENCRYPTION_SECRET_KEY` | Rotate and redeploy (re-encrypt stored data if possible; existing encrypted data may become inaccessible) |
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| `INTERNAL_KEY` | Rotate and redeploy (invalidates worker-to-backend authentication) |
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## Maintenance
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