Authorization Bypass in mlflow/mlflow

published 2026-07-02 4 mo ago modified 2026-10-25 14 d ago also BIT-mlflow-2026-8147 , EUVD-2026-41257 , GHSA-2cm6-r77w-6g96 , PYSEC-2026-3686

cvss: 8.1; version 3.0, CNA
cisa kev: Not listed; not in CISA's catalog
epss: 0.5%; EPSS 0.5% chance of exploitation in 30 days, percentile 46%
public exploits: 0; none known

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.

Patch / fix

fixed in 3 links 3

pypi mlflow 3.13.0rc0
bitnami mlflow 3.14.0
mlflow mlflow/mlflow 3.14.0

github.com/mlflow/mlflow@f9b1eb5 commit
github.com/mlflow/mlflow#23014 pull request
github.com/mlflow/mlflow/releases/tag/v3.13.0 release

Vendor advisories

What the vendors themselves say about their products: affected, fixed or not affected, and what to do.

red hat product security vex CVE-2026-8147 updated 2026-07-24 cvss 8.1

mlflow: MLflow: Unauthorized access to trace data due to missing authorization validation

Red Hat OpenShift AI (RHOAI) rhoai/odh-mlflow-rhel9, rhoai/odh-th06-cpu-torch210-py312-rhel9, rhoai/odh-th06-rocm64-torch291-py312-rhel9, rhoai/odh-th06-cuda130-torch210-py312-rhel9, rhoai/odh-training-cuda128-torch29-py312-rhel9, rhoai/odh-pipeline-runtime-pytorch-cuda-py312-rhel9, +13 more
not affected: vulnerable code not in execute path

Red Hat CSAF VEX © Red Hat, Inc., from https://security.access.redhat.com/data/csaf/v2/vex/; changed: reduced to product statuses and remediations. CC BY 4.0 · csaf

CISA SSVC

Exploitation: Proof of concept is public
Automatable: no
Technical impact: total
Assessed: 4 mo ago (2026-07-02)

Exploit prediction

0.55% chance of exploitation in the next 30 days, higher than 46% of all scored CVEs (FIRST EPSS, 2026-11-08).

Exploits and checks

huntr.com https://huntr.com/bounties/b00c3ddd-373e-492f-9bf0-41a28bb21ed5 referenced PoC, tagged "exploit" by a source, unverified

CVSS scores

assigned by	version	score	vector
CNA	3.0	8.1	CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
GitHub	3.0	8.1	CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
OSV	3.0	8.1	CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

Affected packages

ecosystem	package	affected	fixed in
pypi	mlflow	>=2.14.0rc0, <3.13.0rc0	3.13.0rc0
bitnami	mlflow	<3.14.0	3.14.0

Affected products

mlflow mlflow/mlflow

Classification

Weakness

CWE-284 Improper Access Control

References

github.com /mlflow/mlflow/commit/f9b1eb510478570609ef451984a255775aa4b937
web, patch
github.com /mlflow/mlflow/pull/23014
web
huntr.com /bounties/b00c3ddd-373e-492f-9bf0-41a28bb21ed5
exploit, web, third-party-advisory, advisory
nvd.nist.gov /vuln/detail/CVE-2026-8147
advisory, web
github.com /mlflow/mlflow
package
github.com /mlflow/mlflow/releases/tag/v3.13.0
web
pypi.org /project/mlflow
package
github.com /advisories/GHSA-2cm6-r77w-6g96
advisory

Sources

Fencer Vulns keeps one entry per vulnerability: the CVE id wins, then GHSA, and records that alias each other are merged, except that two CVEs always keep separate entries. The same data is available as JSON.

Summary