LightRAG/docs/action_plan/multitenant-audit/06-final-audit-report.md
Raphael MANSUY fe9b8ec02a
tests: stabilize integration tests + skip external services; fix multi-tenant API behavior and idempotency (#4)
* feat: Implement multi-tenant architecture with tenant and knowledge base models

- Added data models for tenants, knowledge bases, and related configurations.
- Introduced role and permission management for users in the multi-tenant system.
- Created a service layer for managing tenants and knowledge bases, including CRUD operations.
- Developed a tenant-aware instance manager for LightRAG with caching and isolation features.
- Added a migration script to transition existing workspace-based deployments to the new multi-tenant architecture.

* chore: ignore lightrag/api/webui/assets/ directory

* chore: stop tracking lightrag/api/webui/assets (ignore in .gitignore)

* feat: Initialize LightRAG Multi-Tenant Stack with PostgreSQL

- Added README.md for project overview, setup instructions, and architecture details.
- Created docker-compose.yml to define services: PostgreSQL, Redis, LightRAG API, and Web UI.
- Introduced env.example for environment variable configuration.
- Implemented init-postgres.sql for PostgreSQL schema initialization with multi-tenant support.
- Added reproduce_issue.py for testing default tenant access via API.

* feat: Enhance TenantSelector and update related components for improved multi-tenant support

* feat: Enhance testing capabilities and update documentation

- Updated Makefile to include new test commands for various modes (compatibility, isolation, multi-tenant, security, coverage, and dry-run).
- Modified API health check endpoint in Makefile to reflect new port configuration.
- Updated QUICK_START.md and README.md to reflect changes in service URLs and ports.
- Added environment variables for testing modes in env.example.
- Introduced run_all_tests.sh script to automate testing across different modes.
- Created conftest.py for pytest configuration, including database fixtures and mock services.
- Implemented database helper functions for streamlined database operations in tests.
- Added test collection hooks to skip tests based on the current MULTITENANT_MODE.

* feat: Implement multi-tenant support with demo mode enabled by default

- Added multi-tenant configuration to the environment and Docker setup.
- Created pre-configured demo tenants (acme-corp and techstart) for testing.
- Updated API endpoints to support tenant-specific data access.
- Enhanced Makefile commands for better service management and database operations.
- Introduced user-tenant membership system with role-based access control.
- Added comprehensive documentation for multi-tenant setup and usage.
- Fixed issues with document visibility in multi-tenant environments.
- Implemented necessary database migrations for user memberships and legacy support.

* feat(audit): Add final audit report for multi-tenant implementation

- Documented overall assessment, architecture overview, test results, security findings, and recommendations.
- Included detailed findings on critical security issues and architectural concerns.

fix(security): Implement security fixes based on audit findings

- Removed global RAG fallback and enforced strict tenant context.
- Configured super-admin access and required user authentication for tenant access.
- Cleared localStorage on logout and improved error handling in WebUI.

chore(logs): Create task logs for audit and security fixes implementation

- Documented actions, decisions, and next steps for both audit and security fixes.
- Summarized test results and remaining recommendations.

chore(scripts): Enhance development stack management scripts

- Added scripts for cleaning, starting, and stopping the development stack.
- Improved output messages and ensured graceful shutdown of services.

feat(starter): Initialize PostgreSQL with AGE extension support

- Created initialization scripts for PostgreSQL extensions including uuid-ossp, vector, and AGE.
- Ensured successful installation and verification of extensions.

* feat: Implement auto-select for first tenant and KB on initial load in WebUI

- Removed WEBUI_INITIAL_STATE_FIX.md as the issue is resolved.
- Added useTenantInitialization hook to automatically select the first available tenant and KB on app load.
- Integrated the new hook into the Root component of the WebUI.
- Updated RetrievalTesting component to ensure a KB is selected before allowing user interaction.
- Created end-to-end tests for multi-tenant isolation and real service interactions.
- Added scripts for starting, stopping, and cleaning the development stack.
- Enhanced API and tenant routes to support tenant-specific pipeline status initialization.
- Updated constants for backend URL to reflect the correct port.
- Improved error handling and logging in various components.

* feat: Add multi-tenant support with enhanced E2E testing scripts and client functionality

* update client

* Add integration and unit tests for multi-tenant API, models, security, and storage

- Implement integration tests for tenant and knowledge base management endpoints in `test_tenant_api_routes.py`.
- Create unit tests for tenant isolation, model validation, and role permissions in `test_tenant_models.py`.
- Add security tests to enforce role-based permissions and context validation in `test_tenant_security.py`.
- Develop tests for tenant-aware storage operations and context isolation in `test_tenant_storage_phase3.py`.

* feat(e2e): Implement OpenAI model support and database reset functionality

* Add comprehensive test suite for gpt-5-nano compatibility

- Introduced tests for parameter normalization, embeddings, and entity extraction.
- Implemented direct API testing for gpt-5-nano.
- Validated .env configuration loading and OpenAI API connectivity.
- Analyzed reasoning token overhead with various token limits.
- Documented test procedures and expected outcomes in README files.
- Ensured all tests pass for production readiness.

* kg(postgres_impl): ensure AGE extension is loaded in session and configure graph initialization

* dev: add hybrid dev helper scripts, Makefile, docker-compose.dev-db and local development docs

* feat(dev): add dev helper scripts and local development documentation for hybrid setup

* feat(multi-tenant): add detailed specifications and logs for multi-tenant improvements, including UX, backend handling, and ingestion pipeline

* feat(migration): add generated tenant/kb columns, indexes, triggers; drop unused tables; update schema and docs

* test(backward-compat): adapt tests to new StorageNameSpace/TenantService APIs (use concrete dummy storages)

* chore: multi-tenant and UX updates — docs, webui, storage, tenant service adjustments

* tests: stabilize integration tests + skip external services; fix multi-tenant API behavior and idempotency

- gpt5_nano_compatibility: add pytest-asyncio markers, skip when OPENAI key missing, prevent module-level asyncio.run collection, add conftest
- Ollama tests: add server availability check and skip markers; avoid pytest collection warnings by renaming helper classes
- Graph storage tests: rename interactive test functions to avoid pytest collection
- Document & Tenant routes: support external_ids for idempotency; ensure HTTPExceptions are re-raised
- LightRAG core: support external_ids in apipeline_enqueue_documents and idempotent logic
- Tests updated to match API changes (tenant routes & document routes)
- Add logs and scripts for inspection and audit
2025-12-04 16:04:21 +08:00

337 lines
12 KiB
Markdown

# Multi-Tenant Implementation Audit - Final Report
**Date:** November 29, 2025
**Auditor:** Automated Audit Process
**Version:** 1.0
---
## Executive Summary
This audit reviewed the multi-tenant implementation of the LightRAG stack from Web UI through REST API to Storage layer. The implementation uses a **workspace-based isolation model** where `workspace = tenant_id/kb_id`.
### Overall Assessment: ⚠️ FUNCTIONAL WITH CONCERNS
The multi-tenant implementation is **functionally correct** but has several security and architectural concerns that should be addressed before production deployment.
---
## Architecture Overview
```
┌─────────────────────────────────────────────────────────────────┐
│ Web UI (React) │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────────────┐ │
│ │ TenantStore │ │ KBSelector │ │ Axios Interceptor │ │
│ │ (Zustand) │ │ │ │ X-Tenant-ID Header │ │
│ └──────────────┘ └──────────────┘ └──────────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
HTTP Headers (X-Tenant-ID, X-KB-ID)
┌─────────────────────────────────────────────────────────────────┐
│ REST API (FastAPI) │
│ ┌──────────────────┐ ┌────────────────┐ ┌─────────────────┐ │
│ │ get_tenant_ │ │ TenantContext │ │ TenantRAG │ │
│ │ context() │──│ (dataclass) │──│ Manager │ │
│ │ dependency │ │ │ │ (per-tenant RAG)│ │
│ └──────────────────┘ └────────────────┘ └─────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
workspace = tenant_id/kb_id
┌─────────────────────────────────────────────────────────────────┐
│ Storage Layer │
│ ┌──────────────────────────────────────────────────────────┐ │
│ │ PostgreSQL Tables with workspace column │ │
│ │ PRIMARY KEY (workspace, id) │ │
│ │ │ │
│ │ Tables: LIGHTRAG_DOC_FULL, LIGHTRAG_DOC_CHUNKS, │ │
│ │ LIGHTRAG_VDB_*, LIGHTRAG_TENANTS, etc. │ │
│ └──────────────────────────────────────────────────────────┘ │
│ ┌─────────────────┐ ┌─────────────────┐ ┌────────────────┐ │
│ │ Redis │ │ Apache AGE │ │ Vector Store │ │
│ │ (key prefix) │ │ (graph per ws) │ │ (ws filter) │ │
│ └─────────────────┘ └─────────────────┘ └────────────────┘ │
└─────────────────────────────────────────────────────────────────┘
```
---
## Test Results Summary
### Unit Tests: ✅ ALL PASSED
| Test Suite | Tests | Result |
|------------|-------|--------|
| test_multitenant_e2e.py | 32 | ✅ PASSED |
| test_tenant_security.py | 11 | ✅ PASSED |
| test_multi_tenant_backends.py | 37 | ✅ PASSED |
| test_tenant_storage_phase3.py | 22 | ✅ PASSED |
| **TOTAL** | **102** | **✅ ALL PASSED** |
### Key Verifications
- ✅ Cross-tenant data access prevention
- ✅ Knowledge base isolation within tenants
- ✅ Role-based permission enforcement
- ✅ Composite key uniqueness
- ✅ Redis namespace isolation
- ✅ Vector ID uniqueness per tenant
---
## Security Findings
### Critical Findings
| ID | Severity | Component | Finding |
|----|----------|-----------|---------|
| SEC-001 | 🔴 HIGH | API | `get_tenant_context_optional()` allows global RAG fallback |
| SEC-002 | 🔴 HIGH | API | Admin user bypass in `tenant_service.py` |
| SEC-003 | 🟡 MEDIUM | API | `user_id` parameter optional in RAG manager |
| SEC-004 | 🟡 MEDIUM | Storage | No PostgreSQL Row-Level Security (RLS) |
| SEC-005 | 🟢 LOW | Storage | Tenant context set for logging only |
| SEC-006 | 🟢 LOW | WebUI | localStorage used for token storage |
### SEC-001: Global RAG Fallback (HIGH)
**Location:** `lightrag/api/routers/document_routes.py`, `query_routes.py`
**Issue:** Using `get_tenant_context_optional` allows requests without tenant headers to use global RAG:
```python
async def get_tenant_rag(
tenant_context: Optional[TenantContext] = Depends(get_tenant_context_optional)
) -> LightRAG:
if rag_manager and tenant_context:
return await rag_manager.get_rag_instance(...)
return rag # Falls back to global RAG!
```
**Risk:** Data leakage if global RAG contains multi-tenant data.
**Recommendation:** Use `get_tenant_context` (required) for all data endpoints in multi-tenant mode.
### SEC-002: Admin User Bypass (HIGH)
**Location:** `lightrag/services/tenant_service.py`
**Issue:**
```python
if user_id.lower() == "admin":
return True # Bypass all access checks
```
**Risk:** Any user with username "admin" can access any tenant's data.
**Recommendation:** Implement proper super-admin role with separate authentication.
### SEC-003: Optional User ID (MEDIUM)
**Location:** `lightrag/tenant_rag_manager.py`
**Issue:** `user_id` parameter is optional, allowing access without authentication check.
**Recommendation:** Deprecate unauthenticated access path.
### SEC-004: No Row-Level Security (MEDIUM)
**Location:** PostgreSQL Tables
**Issue:** Tenant isolation relies entirely on application-level `workspace` filtering. No database-level enforcement.
**Recommendation:** Enable PostgreSQL RLS as defense-in-depth:
```sql
ALTER TABLE LIGHTRAG_DOC_FULL ENABLE ROW LEVEL SECURITY;
CREATE POLICY tenant_isolation ON LIGHTRAG_DOC_FULL
USING (workspace = current_setting('app.current_workspace'));
```
---
## Architectural Findings
### ARCH-001: Workspace Encoding
**Pattern:** `workspace = "{tenant_id}/{kb_id}"`
**Strengths:**
- Simple, hierarchical namespace
- Clear data ownership
- Compatible with file-based storage
**Concerns:**
- No explicit validation of workspace format
- Potential collision if tenant IDs contain `/`
### ARCH-002: Context Propagation
**Pattern:** Python `ContextVar` for tenant context
```python
tenant_id_var: ContextVar[Optional[str]] = ContextVar("tenant_id")
```
**Current Use:** Set for PostgreSQL session logging, but NOT used for security.
**Recommendation:** Use context variable for RLS enforcement.
### ARCH-003: RAG Instance Caching
**Pattern:** LRU cache keyed by `(tenant_id, kb_id)`
**Strengths:**
- Memory efficient
- Fast subsequent access
**Concerns:**
- Cache size limit may cause thrashing with many tenants
- No cache invalidation on tenant deletion
---
## Web UI Findings
### UI-001: Tenant State Management
**Location:** `lightrag_webui/src/stores/tenant.ts`
**Status:** ✅ Well implemented
- Zustand store with persistence
- Automatic header injection via Axios interceptor
- Console logging for debugging
### UI-002: Document State Clearing
**Location:** `lightrag_webui/src/features/DocumentManager.tsx`
**Recent Fix:** State clearing on tenant/KB change
```typescript
useEffect(() => {
setCurrentPageDocs([]);
setDocs(null);
setStatusCounts({ all: 0 });
// ...
}, [selectedTenant?.tenant_id, selectedKB?.kb_id]);
```
**Status:** ✅ Fixed (per task log dated 2025-02-25)
### UI-003: Token Storage
**Finding:** Authentication token stored in localStorage
**Risk:** XSS vulnerability could expose tokens
**Recommendation:** Use httpOnly cookies for production
---
## Recommendations
### Priority 1: Critical Security Fixes
1. **Replace `get_tenant_context_optional` with `get_tenant_context`** for all data endpoints
2. **Remove admin bypass** in `tenant_service.py`
3. **Make `user_id` required** in RAG manager
### Priority 2: Defense-in-Depth
4. **Enable PostgreSQL RLS** for all tenant-scoped tables
5. **Validate workspace format** to prevent injection
6. **Add audit logging** for cross-tenant access attempts
### Priority 3: Operational Improvements
7. **Add cache invalidation** on tenant/KB deletion
8. **Implement rate limiting** per tenant
9. **Add metrics/monitoring** for tenant isolation verification
---
## Test Protocol for Manual Verification
### Prerequisites
```bash
# Start test databases
docker compose -f docker-compose.test-db.yml up -d
# Verify containers
docker ps --filter "name=lightrag-audit"
```
### Test Scenarios
#### Scenario 1: Cross-Tenant Data Access Prevention
1. Create Tenant A and KB
2. Upload document to Tenant A
3. Attempt to list documents with Tenant B headers
4. **Expected:** Empty list for Tenant B
#### Scenario 2: Missing Tenant Header
1. Send document list request without X-Tenant-ID header
2. **Expected:** 400 Bad Request OR empty response (not global data)
#### Scenario 3: Query Isolation
1. Insert data into Tenant A KB
2. Query with Tenant B context
3. **Expected:** Query returns no results from Tenant A
### Test Script
```bash
# Run API isolation tests
python docs/action_plan/multitenant-audit/scripts/test_api_isolation.py
```
---
## Conclusion
The LightRAG multi-tenant implementation provides **functional tenant isolation** through:
- Workspace-based table partitioning
- Per-tenant RAG instance management
- Header-based tenant context extraction
- Role-based permission model
However, the implementation has **security gaps** that must be addressed:
1. Optional tenant context fallback to global RAG
2. Admin user bypass in access control
3. No database-level security (RLS)
### Recommended Next Steps
1. 🔴 **Immediate:** Fix SEC-001 and SEC-002 before production
2. 🟡 **Short-term:** Enable PostgreSQL RLS
3. 🟢 **Long-term:** Add comprehensive audit logging and monitoring
---
## Appendices
### A. Files Reviewed
| Layer | Files |
|-------|-------|
| Web UI | `tenant.ts`, `client.ts`, `DocumentManager.tsx` |
| API | `dependencies.py`, `document_routes.py`, `query_routes.py`, `tenant_routes.py` |
| Service | `tenant_service.py`, `tenant_rag_manager.py` |
| Storage | `postgres_impl.py`, `utils_context.py`, `namespace.py` |
| Tests | `test_multitenant_e2e.py`, `test_tenant_security.py`, `test_multi_tenant_backends.py` |
### B. Test Environment
| Component | Version/Config |
|-----------|----------------|
| Python | 3.12.12 |
| PostgreSQL | pgvector/pgvector:pg16 |
| Redis | 7-alpine |
| OS | macOS (arm64) |
### C. Related Documentation
- `docs/0001-multi-tenant-architecture.md`
- `docs/0002-multi-tenant-visual-reference.md`
- `docs/0003-multi-tenant-documentation-index.md`
- `MULTITENANT_IMPLEMENTATION_SUMMARY.md`