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CVE-2026-69146

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

MLflow is an open source AI engineering platform for agents, large language models, and machine learning models. From 3.13.0 until 3.15.0, LogInputs is absent from BEFORE_REQUEST_HANDLERS in the mlflow/server/auth package, allowing any authenticated user to call POST /api/2.0/mlflow/runs/log-inputs for another user's run_id and inject attacker-controlled DatasetInput records into the dataset_inputs lineage metadata without UPDATE permission. This issue is fixed in version 3.15.0.

CVSS 3.1 · 6.5 Medium EPSS < 1% KEV · Not listed
Vendors
Mlflow
Products
Mlflow
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 run_id or model_id after _validate_source_run() or _validate_source_model() in mlflow/server/handlers.py verifies only path containment, allowing authenticated users to create a model version that references another user's artifact directory and read files through GET /model-versions/get-artifact without the required READ permission. This issue is fixed in version 3.15.0.

CVSS 3.1 · 7.1 High EPSS < 1% KEV · Not listed
Vendors
Mlflow
Products
Mlflow
CVE-2026-71211

mlflow - Unvalidated Gateway Secret api_base Enables SSRF via Gateway Proxy Endpoint

MLflow's AI Gateway accepts an auth_config.api_base value when creating a gateway secret (mlflow/server/handlers.py, _create_gateway_secret) with no validation of scheme, host, or IP range; the value is stored verbatim. The gateway proxy endpoint (mlflow/server/gateway_api.py, raw_proxy) subsequently issues an HTTP request to that stored api_base plus a caller-supplied path and returns the full response body.

CVSS 3.1 · 7.1 High EPSS < 1% KEV · Not listed
Vendors
Mlflow
Products
Mlflow
CVE-2026-8147

Authorization Bypass in mlflow/mlflow

In MLflow versions prior to 3.14.0, when running with authentication enabled, the trace API endpoints lack proper authorization validators. This allows any authenticated user to bypass experiment-level authorization controls on all trace operations, including reading, deleting, and modifying traces on experiments they do not have permission to access. The issue arises from the `_before_request` handler, which does not register authorization validators for trace endpoints, resulting in requests proceeding without validation. This vulnerability can expose sensitive data, destroy audit logs, and allow unauthorized modifications.

CVSS 3.1 · 8.1 High EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow/mlflow
CVE-2026-13484

MLflow Experiment-scoped Label Schema CRUD API authorization

A vulnerability has been found in MLflow up to 4666cffc7912ea606d592fc38d6a75e2935f65e7. The impacted element is an unknown function of the component Experiment-scoped Label Schema CRUD API. Such manipulation leads to missing authorization. It is possible to launch the attack remotely. A high complexity level is associated with this attack. The exploitability is regarded as difficult. The exploit has been disclosed to the public and may be used. A reply to the GitHub issue explains, that "[t]he labeling schema PR has not been merged yet. The auth handlers will be added before the release."

CVSS 4.0 · 2.3 Low EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow
CVE-2026-4035

Environment Variable Resolution Vulnerability in mlflow/mlflow

A vulnerability in mlflow/mlflow versions prior to 3.11.0 allows for the resolution of environment variables in AI Gateway secrets, which can be exploited to exfiltrate sensitive server-side environment credentials to an attacker-controlled endpoint. This issue arises because the `api_key` field in gateway secrets can accept `$ENV_VAR` references, which are resolved against the MLflow server's environment during runtime. The resolved secrets are then sent in provider authentication headers to the configured upstream `api_base`. This vulnerability can be exploited by low-privileged authenticated users in basic-auth deployments or by unauthenticated users in default deployments without `basic-auth`. The impact includes potential leakage of sensitive credentials such as cloud artifact credentials (`AWS_ACCESS_KEY_ID`, `AWS_SECRET_ACCESS_KEY`), which could lead to artifact poisoning and cross-boundary code execution in downstream environments. The issue is fixed in version 3.11.0.

CVSS 3.1 · 7.7 High EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow/mlflow
CVE-2026-10803

MLflow Dataset Digest Computation digest_utils.py mlflow.data.digest_utils weak hash

A flaw has been found in MLflow up to 3.10.0. This issue affects the function mlflow.data.digest_utils of the file mlflow/data/digest_utils.py of the component Dataset Digest Computation. This manipulation causes use of weak hash. It is possible to launch the attack on the local host. The attack is considered to have high complexity. The exploitability is assessed as difficult. The exploit has been published and may be used. The project was informed of the problem early through a pull request but has not reacted yet.

CVSS 4.0 · 2 Low EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow
CVE-2026-2651

Missing Authorization Validation in mlflow/mlflow

A vulnerability in MLflow versions <=3.10.1.dev0 allows unauthorized access to multipart upload (MPU) endpoints when the `--serve-artifacts` mode is enabled. The authorization logic does not enforce resource-level permission checks for `/mlflow-artifacts/mpu/*` endpoints, enabling attackers to overwrite artifacts belonging to other users. This can lead to unauthorized cross-user writes, model supply chain poisoning, and arbitrary code execution when compromised models are loaded. The issue is resolved in version 3.10.0.

CVSS 3.1 · 9.0 Critical EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow/mlflow
CVE-2026-3198

Improper Access Control in mlflow/mlflow

MLflow 3.9.0 with basic-auth (`--app-name basic-auth`) fails to enforce authorization checks for multiple Gateway API 'list' endpoints. Specifically, the `BEFORE_REQUEST_HANDLERS` dictionary in `mlflow/server/auth/__init__.py` does not include entries for `ListGatewaySecretInfos`, `ListGatewayEndpoints`, and `ListGatewayModelDefinitions`. This allows any authenticated user, regardless of their assigned permissions, to enumerate all gateway secrets, endpoints, and model definitions. This vulnerability exposes sensitive information, such as API keys, endpoint configurations, and proprietary model definitions, to unauthorized users.

CVSS 3.1 · 6.5 Medium EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow/mlflow
CVE-2026-4137

Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow

In mlflow/mlflow versions prior to 3.11.0, the `get_or_create_nfs_tmp_dir()` function in `mlflow/utils/file_utils.py` creates temporary directories with world-writable permissions (0o777), and the `_create_model_downloading_tmp_dir()` function in `mlflow/pyfunc/__init__.py` creates directories with group-writable permissions (0o770). These insecure permissions allow local attackers to tamper with model artifacts, such as cloudpickle-serialized Python objects, and achieve arbitrary code execution when the tampered artifacts are deserialized via `cloudpickle.load()`. This vulnerability is particularly critical in environments with shared NFS mounts, such as Databricks, where NFS is enabled by default. The issue is a continuation of the vulnerability class addressed in CVE-2025-10279, which was only partially fixed.

CVSS 3.1 · 7.8 High EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow/mlflow
CVE-2026-2734

Authorization Bypass in SearchModelVersions in mlflow/mlflow

In mlflow/mlflow versions up to 3.9.0, the `SearchModelVersions` REST API endpoint and the `mlflowSearchModelVersions` GraphQL query lack proper per-model authorization checks when basic authentication is enabled. This allows any authenticated user to enumerate all model versions across all registered models, regardless of their permission level. The issue arises due to the absence of `SearchModelVersions` in the `BEFORE_REQUEST_VALIDATORS` and `AFTER_REQUEST_HANDLERS` for the REST API, and its omission from `GraphQLAuthorizationMiddleware.PROTECTED_FIELDS` for GraphQL. This vulnerability can expose sensitive information such as model names, version descriptions, source URIs, tags, and other metadata, potentially revealing proprietary or confidential details in multi-tenant environments. The issue is resolved in version 3.10.0.

CVSS 3.1 · 6.5 Medium EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow/mlflow
CVE-2026-2393

Server-Side Request Forgery (SSRF) in mlflow/mlflow

A Server-Side Request Forgery (SSRF) vulnerability exists in MLflow versions prior to 3.9.0. The `_create_webhook()` function in `mlflow/server/handlers.py` accepts a user-controlled `url` parameter without validation, and the `_send_webhook_request()` function in `mlflow/webhooks/delivery.py` sends HTTP POST requests to this attacker-controlled URL. This allows an authenticated attacker to force the MLflow backend to send HTTP requests to internal services, cloud metadata endpoints, or arbitrary external servers. The lack of input sanitization, URL scheme filtering, or allowlist validation on the webhook URL enables exploitation, potentially leading to cloud credential theft, internal network access, and data exfiltration.

CVSS 3.0 · 7.1 High EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow/mlflow
CVE-2026-2611

Improper Origin Validation in mlflow/mlflow

In MLflow version 3.9.0, the MLflow Assistant feature introduced improper origin validation in its /ajax-api endpoints. This vulnerability allows a remote attacker to exploit cross-origin requests from a malicious webpage to interact with the MLflow Assistant running on a victim's local machine. By bypassing the loopback-only restriction, the attacker can modify the Assistant's configuration to enable full access, which in turn allows the execution of arbitrary commands via the Claude Code sub-agent. This issue is resolved in version 3.10.0.

CVSS 3.1 · 9.6 Critical EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow/mlflow
CVE-2026-2652

Authentication Bypass in mlflow/mlflow

A vulnerability in mlflow/mlflow versions 3.9.0 and earlier allows unauthenticated access to certain FastAPI routes when the server is started with authentication enabled (`--app-name basic-auth`) and served via uvicorn (ASGI). The FastAPI permission middleware only enforces authentication on `/gateway/` routes, leaving other routes such as the Job API (`/ajax-api/3.0/jobs/*`) and the OpenTelemetry trace ingestion API (`/v1/traces`) unprotected. This allows unauthenticated remote attackers to submit jobs, read job results, cancel running jobs, and inject arbitrary trace data into experiments. The issue arises from an architectural mismatch between Flask and FastAPI authentication mechanisms, where the `_find_fastapi_validator()` function fails to handle non-`/gateway/` paths, resulting in a complete authentication bypass. This vulnerability is fixed in version 3.10.0.

CVSS 3.0 · 8.6 High EPSS 20.8% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow/mlflow
CVE-2025-15036

Path Traversal Vulnerability in mlflow/mlflow

A path traversal vulnerability exists in the `extract_archive_to_dir` function within the `mlflow/pyfunc/dbconnect_artifact_cache.py` file of the mlflow/mlflow repository. This vulnerability, present in versions before v3.7.0, arises due to the lack of validation of tar member paths during extraction. An attacker with control over the tar.gz file can exploit this issue to overwrite arbitrary files or gain elevated privileges, potentially escaping the sandbox directory in multi-tenant or shared cluster environments.

CVSS 3.1 · 10.0 Critical EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow/mlflow
CVE-2026-33866

Authorization Bypass in MLflow AJAX Endpoint

MLflow is vulnerable to an authorization bypass affecting the AJAX endpoint used to download saved model artifacts. Due to missing access‑control validation, a user without permissions to a given experiment can directly query this endpoint and retrieve model artifacts they are not authorized to access. This issue affects MLflow version through 3.10.1

CVSS 4.0 · 5.3 Medium EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow
CVE-2026-33865

Stored XSS via unsafe YAML parsing in MLflow

MLflow is vulnerable to Stored Cross-Site Scripting (XSS) caused by unsafe parsing of YAML-based MLmodel artifacts in its web interface. An authenticated attacker can upload a malicious MLmodel file containing a payload that executes when another user views the artifact in the UI. This allows actions such as session hijacking or performing operations on behalf of the victim. This issue affects MLflow version through 3.10.1

CVSS 4.0 · 5.1 Medium EPSS < 1% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow
CVE-2026-2033

MLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability

MLflow Tracking Server Artifact Handler Directory Traversal Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of MLflow Tracking Server. Authentication is not required to exploit this vulnerability. The specific flaw exists within the handling of artifact file paths. The issue results from the lack of proper validation of a user-supplied path prior to using it in file operations. An attacker can leverage this vulnerability to execute code in the context of the service account. Was ZDI-CAN-26649.

CVSS 3.1 · 7.3 High EPSS 1.8% KEV · Not listed
Vendors
Mlflow
Products
Mlflow
CVE-2026-2635

MLflow Use of Default Password Authentication Bypass Vulnerability

MLflow Use of Default Password Authentication Bypass Vulnerability. This vulnerability allows remote attackers to bypass authentication on affected installations of MLflow. Authentication is not required to exploit this vulnerability. The specific flaw exists within the basic_auth.ini file. The file contains hard-coded default credentials. An attacker can leverage this vulnerability to bypass authentication and execute arbitrary code in the context of the administrator. Was ZDI-CAN-28256.

CVSS 3.1 · 7.3 High EPSS 1.1% KEV · Not listed
Vendors
Mlflow
Products
Mlflow
CVE-2025-14287

Command Injection in mlflow/mlflow

A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, which are then executed using `os.system()`. This allows attackers to execute arbitrary commands by supplying malicious input through the `--container` parameter of the CLI. The issue affects environments where MLflow is used, including development setups, CI/CD pipelines, and cloud deployments.

CVSS 3.1 · 8.8 High EPSS 1.7% KEV · Not listed
Vendors
Lfprojects Mlflow
Products
Mlflow Mlflow