CVE-2026-2734: CWE-284 Improper Access Control in mlflow 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.
AI Analysis
Technical Summary
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 under basic authentication. This is due to the omission of SearchModelVersions from the BEFORE_REQUEST_VALIDATORS and AFTER_REQUEST_HANDLERS for the REST API and its absence from GraphQLAuthorizationMiddleware.PROTECTED_FIELDS. As a result, any authenticated user can enumerate all model versions and associated metadata across all registered models regardless of their permission level. This exposure can lead to unauthorized disclosure of sensitive model information. The issue is fixed in version 3.10.0.
Potential Impact
The vulnerability allows authenticated users with any permission level to access detailed metadata about all model versions across all registered models. This unauthorized information disclosure can expose proprietary or confidential details such as model names, version descriptions, source URIs, and tags. There is no impact on integrity or availability reported. No known exploits in the wild have been identified.
Mitigation Recommendations
Upgrade mlflow/mlflow to version 3.10.0 or later, where this vulnerability is resolved. Since the issue is fixed in the newer version, applying this official update is the recommended remediation. Patch status is confirmed by the vendor advisory indicating resolution in version 3.10.0.
CVE-2026-2734: CWE-284 Improper Access Control in mlflow mlflow/mlflow
Description
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 v3.0
Score 6.5medium
Affected software
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Weaknesses
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
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 under basic authentication. This is due to the omission of SearchModelVersions from the BEFORE_REQUEST_VALIDATORS and AFTER_REQUEST_HANDLERS for the REST API and its absence from GraphQLAuthorizationMiddleware.PROTECTED_FIELDS. As a result, any authenticated user can enumerate all model versions and associated metadata across all registered models regardless of their permission level. This exposure can lead to unauthorized disclosure of sensitive model information. The issue is fixed in version 3.10.0.
Potential Impact
The vulnerability allows authenticated users with any permission level to access detailed metadata about all model versions across all registered models. This unauthorized information disclosure can expose proprietary or confidential details such as model names, version descriptions, source URIs, and tags. There is no impact on integrity or availability reported. No known exploits in the wild have been identified.
Mitigation Recommendations
Upgrade mlflow/mlflow to version 3.10.0 or later, where this vulnerability is resolved. Since the issue is fixed in the newer version, applying this official update is the recommended remediation. Patch status is confirmed by the vendor advisory indicating resolution in version 3.10.0.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- @huntr_ai
- Date Reserved
- 2026-02-19T07:17:33.358Z
- Cvss Version
- 3.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a0e9226ba1db473621d145b
Added to database: 05/21/2026, 05:03:34 UTC
Last enriched: 05/21/2026, 05:18:34 UTC
Last updated: 07/31/2026, 19:22:58 UTC
Views: 85
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