# CVE-2026-116692: MLflow arbitrary code execution in third-party scorer deserialization

Source: https://junglewise.ai/threats/cve-2026-116692-mlflow-is-an-open-source-ai-engineering-platform-for-agents  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-10-27. Updated: 2026-10-27  
License: CC BY 4.0 with a link back

CVE-2026-116692 · Severity: critical · CVSS 9.8 · Published 2026-10-27

MLflow is an open-source platform for managing machine learning and AI models. A flaw in its third-party scorer deserialization allows attackers to execute arbitrary Python code by placing a malicious module beneath an allowed package directory and invoking it through the scorer API. On deployments without authentication, this requires no credentials; with authentication enabled, an attacker needs the ability to create experiments and upload artifacts.

Technologies: [Mlflow](https://junglewise.ai/threats/technologies/mlflow-mlflow), [mlflow (PyPI)](https://junglewise.ai/threats/technologies/mlflow). Vendors: [MLflow](https://junglewise.ai/threats/vendors/mlflow), [PyPI](https://junglewise.ai/threats/vendors/pypi).

## Quick answers

**Is CVE-2026-116692 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2026-116692 being exploited in the wild.

**How severe is CVE-2026-116692?** Critical severity, with a CVSS score of 9.8, published 27 October 2026.

**Which products and versions are affected?** Mlflow 3.12.0rc0 to 3.16.x; mlflow (PyPI) >= 3.12.0rc0, < 3.17.0, ECOSYSTEM:introduced=3.12.0rc0,fixed=3.17.0.

**Is there a fix for CVE-2026-116692?** Yes. mlflow (PyPI): upgrade to 3.17.0 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**How is CVE-2026-116692 attacked?** It is attacked over the network.

**Am I affected by CVE-2026-116692?** Check whether you run Mlflow or mlflow (PyPI) at an affected version. Junglewise does that check for you around the clock: connect your code, cloud and domains, and it matches new vulnerabilities like this one against what you actually run and tells you when one reaches you.

## How to fix

- mlflow (PyPI): upgrade to 3.17.0 or later

  ```sh
  pip install "mlflow>=3.17.0"
  ```


## Technical details

The vulnerability exists in mlflow/genai/scorers/base.py where third-party scorer deserialization accepts request-selected module descendants of THIRD_PARTY_SCORER_ALLOWED_MODULES rather than exact matches. An attacker can upload a Python module beneath a writable allowed package (via artifact endpoints) and submit it through /ajax-api/3.0/mlflow/scorer/invoke, causing Scorer.model_validate_json() to import the module and construct the class, executing arbitrary code before validation. The allowed scorer package must be writable by the server process.

## Affected products

- MLflow MLflow 3.12.0rc0 to 3.16.x

## Identifiers

- CVE-2026-116692
- GHSA-26p8-2jq9-3vq9

## Timeline

- 2026-10-27: disclosed
- 2026-09-16: patched: Fix commit a732443e695c3c677680c54320efc394c81654ab merged

## References

- [https://github.com/mlflow/mlflow/commit/a732443e695c3c677680c54320efc394c81654ab](https://github.com/mlflow/mlflow/commit/a732443e695c3c677680c54320efc394c81654ab)
- [https://github.com/mlflow/mlflow/pull/25906](https://github.com/mlflow/mlflow/pull/25906)

## Related threats

- [MLflow path traversal in FileStore log outputs API](https://junglewise.ai/threats/cve-2026-127202-mlflow-before-3-18-0-using-the-filestore-backend-contains-a-path)
- [MLflow get-artifacts server-side request forgery information disclosure](https://junglewise.ai/threats/cve-2026-118628-mlflow-get-artifacts-server-side-request-forgery-information)
- [MLflow SHAP load_explainer deserialization of untrusted data](https://junglewise.ai/threats/cve-2026-118627-mlflow-shap-load-explainer-deserialization-of-untrusted-data)
- [MLflow Tracking Server missing authorization in get_endpoints](https://junglewise.ai/threats/cve-2026-118625-mlflow-tracking-server-missing-authorization-privilege)
- [MLflow Tracking Server authorization bypass in Jobs API](https://junglewise.ai/threats/cve-2026-118624-mlflow-tracking-server-jobs-missing-authorization-information)