CVE-2026-2734: lfprojects mlflow Improper Access Control
Vulnerability summary
CVE-2026-2734 is a medium (CVSS 6.5) Improper Access Control vulnerability in lfprojects mlflow. EPSS estimates a 0.50% chance of exploitation in the next 30 days, higher than 41.7% of scored vulnerabilities. 1 public exploit is recorded.
Timeline
- 21-05-2026PublishedVulnerability first disclosed.
- 21-05-2026Last modifiedVulnerability information updated.
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 metrics
3 scores · 3 sources · 1 version- OSV · PypiEcosystem advisory · calculated6.5MediumCVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
- NVDNIST6.5MediumCVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N
EPSS trend
Probability
0.50%
Chance of exploitation in the next 30 days
Percentile
42%
Versus all other CVEs
30-day change
+0.06 pp
From 0.44% on 20-09-2026
Known exploited
Compare KEV catalogsNot in any of the 3 tracked catalogs.
Public exploits
1 foundExploit Reference (huntr.com)
Maturity: unknown
Weaknesses
CWE · root causeAffected systems
Lfprojects1 product
- mlflow< 3.10.0
Mlflow1 product
- mlflow/mlflow≥ unspecified, < 3.10.0
PyPI1 product
- mlflow< 3.10.0
3 vendors · 3 products
References
6 links- github.com/mlflow/mlflowPACKAGE
- pypi.org/project/mlflowPACKAGE