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c4fe68eaa0
## Summary - harden reopened advisory fixes across REST connector, invoke, document downloads, and markdown rendering - add targeted regression coverage for redirect-safe SSRF handling, invoke SSRF checks, document access control, and markdown sanitization - verify each referenced GHSA against the original GitHub advisory text and align the closed-advisory plan with the implemented remediation ## What changed - add tenant access checks to document download endpoints to avoid cross-tenant document disclosure - add per-hop SSRF validation, DNS pinning, redirect handling, and redirect limits to the REST API connector - ensure invoke requests validate and pin the resolved host and never follow redirects implicitly - keep the generic rate-limited request path wrapped, not just GET and POST helpers - sanitize markdown HTML before rendering in the highlight markdown component ## Validation - `cd web && npm test -- --runInBand src/components/highlight-markdown/__tests__/index.test.tsx` - `.venv/bin/python -m pytest -q test/unit_test/data_source/test_rest_api_connector.py` - targeted `test/testcases/test_web_api/...` unit additions were reviewed, but the suite cannot be executed end-to-end in this environment because parent `test/testcases/conftest.py` requires a local service on `127.0.0.1:9380` ## Notes - all GHSA entries referenced by the plan were checked against the original GitHub advisory text, not sampled - the closed-advisory plan document was updated locally during review, but is intentionally not included in this PR
(1). Deploy RAGFlow services and images
https://ragflow.io/docs/build_docker_image
(2). Configure the required environment for testing
Install Python dependencies (including test dependencies):
uv sync --python 3.13 --only-group test --no-default-groups --frozen
Activate the environment:
source .venv/bin/activate
Install SDK:
uv pip install sdk/python
Modify the .env file: Add the following code:
COMPOSE_PROFILES=${COMPOSE_PROFILES},tei-cpu
TEI_MODEL=BAAI/bge-small-en-v1.5
RAGFLOW_IMAGE=infiniflow/ragflow:v0.26.1 #Replace with the image you are using
Start the container（wait two minutes）:
docker compose -f docker/docker-compose.yml up -d
(3). Test Elasticsearch
a) Run sdk tests against Elasticsearch:
export HTTP_API_TEST_LEVEL=p2
export HOST_ADDRESS=http://127.0.0.1:9380 # Ensure that this port is the API port mapped to your localhost
pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
b) Run http api tests against Elasticsearch:
pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api
(4). Test Infinity
Modify the .env file:
DOC_ENGINE=${DOC_ENGINE:-infinity}
Start the container:
docker compose -f docker/docker-compose.yml down -v
docker compose -f docker/docker-compose.yml up -d
a) Run sdk tests against Infinity:
DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_sdk_api
b) Run http api tests against Infinity:
DOC_ENGINE=infinity pytest -s --tb=short --level=${HTTP_API_TEST_LEVEL} test/testcases/test_http_api