CVE-2026-69148

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a runid or modelid after validatesourcerun or validatesourcemodel in mlflow/server/handlers.py verifies only path containment, allowing...

CVE-2026-11817

This vulnerability only affects Grafana stacks configured with multiple organizations; single-organization deployments are not impacted. In a multi-organization stack, a user who is an Org Admin of a single organization can call GET...

UBUNTU-CVE-2026-11817

This vulnerability only affects Grafana stacks configured with multiple organizations; single-organization deployments are not impacted. In a multi-organization stack, a user who is an Org Admin of a single organization can call GET...

MLflow: CreateModelVersion source validation does not check READ permission on referenced run_id

Summary The validatesourcerun and validatesourcemodel functions in mlflow/server/handlers.py verify that a model version source path is within the artifact directory of a specified run or logged model, but do not check whether the caller has READ permission on that run or model. An authenticated...

GHSA-GQCH-G4W5-7QCW MLflow: CreateModelVersion source validation does not check READ permission on referenced run_id

Summary The validatesourcerun and validatesourcemodel functions in mlflow/server/handlers.py verify that a model version source path is within the artifact directory of a specified run or logged model, but do not check whether the caller has READ permission on that run or model. An authenticated...

GHSA-3P64-6GVH-82V5 MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth

Summary When MLflow is deployed with the built-in basic-auth plugin --app-name basic-auth, any authenticated user can inject arbitrary dataset records into another user's run by calling POST /api/2.0/mlflow/runs/log-inputs. The LogInputs proto handler is absent from the BEFOREREQUESTHANDLERS map ...

MLflow: LogInputs endpoint bypasses per-run UPDATE authorization in basic-auth

Summary When MLflow is deployed with the built-in basic-auth plugin --app-name basic-auth, any authenticated user can inject arbitrary dataset records into another user's run by calling POST /api/2.0/mlflow/runs/log-inputs. The LogInputs proto handler is absent from the BEFOREREQUESTHANDLERS map ...

GHSA-7GWP-5PFP-969J MLflow: Unauthenticated full-read SSRF in webhook delivery: _validate_webhook_url bypassed via unvalidated HTTP redirects (and DNS rebinding)

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...

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

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...

EUVD-2026-60479

Onyx is an open-source AI platform. Prior to 3.1.10, 3.2.14, and 4.0.0, Onyx's GET /api/mcp/servers and GET /api/mcp/servers/persona/personaid endpoints expose another user's OAuth Authorization header because OnyxTokenStorage.settokens and OnyxTokenStorage.setclientinfo in...

CVE-2026-71424 Onyx: Cross-user OAuth-token leak via /api/mcp/servers* for per-user MCP servers

Onyx is an open-source AI platform. Prior to 3.1.10, 3.2.14, and 4.0.0, Onyx's GET /api/mcp/servers and GET /api/mcp/servers/persona/personaid endpoints expose another user's OAuth Authorization header because OnyxTokenStorage.settokens and OnyxTokenStorage.setclientinfo in...

CVE-2026-71424

Onyx is an open-source AI platform. Prior to 3.1.10, 3.2.14, and 4.0.0, Onyx's GET /api/mcp/servers and GET /api/mcp/servers/persona/personaid endpoints expose another user's OAuth Authorization header because OnyxTokenStorage.settokens and OnyxTokenStorage.setclientinfo in...

CVE-2026-71424 Onyx: Cross-user OAuth-token leak via /api/mcp/servers* for per-user MCP servers

Onyx is an open-source AI platform. Prior to 3.1.10, 3.2.14, and 4.0.0, Onyx's GET /api/mcp/servers and GET /api/mcp/servers/persona/personaid endpoints expose another user's OAuth Authorization header because OnyxTokenStorage.settokens and OnyxTokenStorage.setclientinfo in...

CVE-2026-71424

Onyx is an open-source AI platform. Prior to 3.1.10, 3.2.14, and 4.0.0, Onyx's GET /api/mcp/servers and GET /api/mcp/servers/persona/personaid endpoints expose another user's OAuth Authorization header because OnyxTokenStorage.settokens and OnyxTokenStorage.setclientinfo in...

CVE-2026-11817

CVE-2026-11817 is a CVSS 5.3 medium-severity issue in Grafana multi-org stacks: an Org Admin can call GET /api/access-control/users/permissions/search?actionPrefix=dashboards: to view dashboard/folder UIDs and per-user permission mappings from other organizations. Dashboard contents, secrets, and...

CVE-2026-11817 CVE-2026-11817 CVE Record

This vulnerability only affects Grafana stacks configured with multiple organizations; single-organization deployments are not impacted. In a multi-organization stack, a user who is an Org Admin of a single organization can call GET...

CVE-2026-11817 CVE-2026-11817 CVE Record

This vulnerability only affects Grafana stacks configured with multiple organizations; single-organization deployments are not impacted. In a multi-organization stack, a user who is an Org Admin of a single organization can call GET...

CVE-2026-69148

In MLflow versions prior to 3.15.0, the CreateModelVersion handler in mlflow/server/handlers.py validates only path containment via _validate_source_run() or _validate_source_model(), omitting READ permission checks. An authenticated user can reference another user's artifact directory and read f...

EUVD-2026-60474

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a runid or modelid after validatesourcerun or validatesourcemodel in mlflow/server/handlers.py verifies only path containment, allowing...

CVE-2026-69148 MLflow: CreateModelVersion source validation does not check READ permission on referenced run_id

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. Prior to 3.15.0, CreateModelVersion accepts a runid or modelid after validatesourcerun or validatesourcemodel in mlflow/server/handlers.py verifies only path containment, allowing...