CVE-2026-96804: High severity MLflow MLflow statsmodel flavor vulnerability

Published Sep 23, 2026
·
Updated

MLflow's statsmodel flavor, versions 2.1.0 to 3.14.0, omits the MLFLOWALLOWPICKLEDESERIALIZATION=False security control entirely in loadmodel(), which allows a remote attacker to execute arbitrary code via a crafted MLmodel artifact.

Affected Software

1 affected component
MLflow MLflow statsmodel flavor>=2.1.0<=3.14.0

Remediation

Recommended actions to resolve this vulnerability, in priority order.

  1. Configuration

    Set MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False to enable the pickle deserialization security control.

    MLflow statsmodel flavor MLFLOW_ALLOW_PICKLE_DESERIALIZATION = False

Event History

Sep 23, 2026
CVE Published
via MITRE·04:35 PM
Data Sourced
via MITRE·04:35 PM
DescriptionWeakness
Data Sourced
via NVD·05:17 PM
DescriptionSeverityWeakness

Frequently Asked Questions

1

Which deployments are exposed to this issue?

Deployments using MLflow's statsmodel flavor in versions 2.1.0 through 3.14.0 are affected when they load an MLmodel artifact through the flavor's _load_model() path.

2

What does an attacker need to exploit the vulnerability?

An attacker needs to provide or cause a target to load a crafted MLmodel artifact. Loading that artifact can result in arbitrary code execution.

3

Does setting MLFLOW_ALLOW_PICKLE_DESERIALIZATION=False protect the statsmodel flavor?

No. The affected statsmodel flavor omits this security control entirely in _load_model(), so the setting is not applied on that loading path.

Contact

SecAlerts Pty Ltd.
132 Wickham Terrace
Fortitude Valley,
QLD 4006, Australia
info@secalerts.co
By using SecAlerts services, you agree to our services end-user license agreement. This website is safeguarded by reCAPTCHA and governed by the Google Privacy Policy and Terms of Service. All names, logos, and brands of products are owned by their respective owners, and any usage of these names, logos, and brands for identification purposes only does not imply endorsement. If you possess any content that requires removal, please get in touch with us.
© 2026 SecAlerts Pty Ltd.
ABN: 70 645 966 203, ACN: 645 966 203