# CVE-2025-1473: PYSEC-2026-1646 - MLflow Cross-Site Request Forgery (CSRF) vulnerability

Source: https://junglewise.ai/threats/cve-2025-1473-mlflow-cross-site-request-forgery-csrf-vulnerability  
Publisher: Junglewise Threat Intelligence, https://junglewise.ai/threats  
Published: 2026-07-07  
License: CC BY 4.0 with a link back

CVE-2025-1473 · Severity: low · CVSS 3.1 · Published 2026-07-07

MLflow Cross-Site Request Forgery (CSRF) vulnerability

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

## Quick answers

**Is CVE-2025-1473 exploited in the wild?** No. Junglewise Threat Intelligence has no report of CVE-2025-1473 being exploited in the wild.

**How severe is CVE-2025-1473?** Low severity, with a CVSS score of 3.1, published 7 July 2026.

**Which products and versions are affected?** mlflow (PyPI) ECOSYSTEM:introduced=2.17.0,fixed=2.20.3.

**Is there a fix for CVE-2025-1473?** Yes. mlflow (PyPI): upgrade to 2.20.3 or later. Junglewise finds every place you run it, drafts the upgrade and applies it once you approve.

**Am I affected by CVE-2025-1473?** Check whether you run 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 2.20.3 or later

  ```sh
  pip install "mlflow>=2.20.3"
  ```


## Affected products

- mlflow (PyPI) ECOSYSTEM:introduced=2.17.0,fixed=2.20.3

## Identifiers

- CVE-2025-1473
- GHSA-969w-gqqr-g6j3
- PYSEC-2026-1646

## Related threats

- [MLflow arbitrary code execution in third-party scorer deserialization](https://junglewise.ai/threats/cve-2026-116692-mlflow-is-an-open-source-ai-engineering-platform-for-agents)
- [MLflow credential leak in CrewAI autolog](https://junglewise.ai/threats/cve-2026-116691-mlflow-is-an-open-source-ai-engineering-platform-for-agents)
- [MLflow path traversal in prompt model version artifact access](https://junglewise.ai/threats/cve-2026-116690-mlflow-is-an-open-source-ai-engineering-platform-for-agents)
- [MLflow unsafe deserialization in scorer endpoints](https://junglewise.ai/threats/cve-2026-115886-mlflow-is-an-open-source-ai-engineering-platform-for-agents)
- [MLflow FileStore path traversal in trace storage](https://junglewise.ai/threats/cve-2026-53995-mlflow-3-17-1-and-earlier-contains-a-path-traversal-vulnerability)