MLflow up to 3.14.x Model Version Creation handlers.py _validate_source_run/_validate_source_model run_id/model_id permission
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.6 | $0-$5k | 0.82+ |
Summary
A vulnerability categorized as problematic has been discovered in MLflow up to 3.14.x. Impacted is the function _validate_source_run/_validate_source_model of the file mlflow/server/handlers.py of the component Model Version Creation. Executing a manipulation of the argument run_id/model_id can lead to permission.
This vulnerability is tracked as CVE-2026-69148. The attack can be launched remotely. No exploit exists.
Details
A vulnerability was found in MLflow up to 3.14.x. It has been declared as problematic. This vulnerability affects the function _validate_source_run/_validate_source_model of the file mlflow/server/handlers.py of the component Model Version Creation. The manipulation of the argument run_id/model_id with an unknown input leads to a permission vulnerability. The CWE definition for the vulnerability is CWE-275. As an impact it is known to affect confidentiality. CVE summarizes:
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.
The advisory is available at github.com. This vulnerability was named CVE-2026-69148 since 08/03/2026. The exploitation appears to be easy. The attack can be initiated remotely. Technical details are known, but there is no available exploit. This vulnerability is assigned to T1222 by the MITRE ATT&CK project.
Upgrading to version 3.15.0 eliminates this vulnerability.
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Product
Name
Version
Website
- Product: https://github.com/mlflow/mlflow/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.7VulDB Meta Temp Score: 5.6
VulDB Base Score: 4.3
VulDB Temp Score: 4.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 7.1
CNA Vector (GitHub_M): 🔒
CVSSv2
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: PermissionCWE: CWE-275 / CWE-266
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: UpgradeStatus: 🔍
0-Day Time: 🔒
Upgrade: MLflow 3.15.0
Timeline
08/03/2026 CVE reserved08/17/2026 Advisory disclosed
08/17/2026 VulDB entry created
08/17/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-69148 (🔒)
GCVE (CVE): GCVE-0-2026-69148
GCVE (VulDB): GCVE-100-391462
Entry
Created: 08/17/2026 23:43Changes: 08/17/2026 23:43 (66)
Complete: 🔍
Cache ID: 216::103
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