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EPSS 0.4%top 69%

CVE-2026-8147: CWE-284 Improper Access Control in mlflow mlflow/mlflow

0
High
VulnerabilityCVE-2026-8147cvecve-2026-8147cwe-284
Published: 07/02/2026 (07/02/2026, 07:32:58 UTC)
Source: CVE Database V5
Vendor/Project: mlflow
Product: mlflow/mlflow

Description

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 v3.0

Score 8.1high

Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Unchanged
Confidentiality
High
Integrity
High
Availability
None
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

Affected software

mlflow
pkg:pypi/mlflow
Affected versions
<3.14.0

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AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 07/09/2026, 09:25:16 UTC

Technical Analysis

CVE-2026-8147 is an improper access control vulnerability (CWE-284) in mlflow/mlflow affecting versions before 3.14.0. When authentication is enabled, the trace API endpoints lack proper authorization validation due to missing registration of authorization validators in the _before_request handler. This flaw permits any authenticated user to bypass experiment-level authorization controls and perform unauthorized read, delete, and modify operations on traces of experiments they do not have permission to access. The vulnerability risks exposure of sensitive data, destruction of audit logs, and unauthorized modifications.

Potential Impact

The vulnerability allows authenticated users to bypass authorization controls on trace operations, potentially exposing sensitive experiment trace data, enabling deletion or modification of traces, and compromising audit integrity. This can lead to unauthorized data disclosure and tampering within MLflow experiments.

Mitigation Recommendations

Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until an official fix is available, restrict authenticated user permissions to trusted users only and monitor for suspicious trace API activity. Avoid enabling authentication without additional compensating controls on trace endpoints.

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Technical Details

Data Version
5.2
Assigner Short Name
@huntr_ai
Date Reserved
2026-05-08T02:45:28.857Z
Cvss Version
3.0
State
PUBLISHED
Remediation Level
null

Threat ID: 6a46231427e9c797198a9fcd

Added to database: 07/02/2026, 08:36:36 UTC

Last enriched: 07/09/2026, 09:25:16 UTC

Last updated: 08/15/2026, 00:41:15 UTC

Views: 72

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