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MEDIUM severity

GHSA-wxj7-3fx5-pp9m — mlflow

MEDIUMFix: mlflow/mlflow#15970

GHSA-wxj7-3fx5-pp9m is a medium-severity (CVSS 5.8) vulnerability in mlflow. A fix is available for mlflow — see the affected versions and patch details below.

MLFlow SSRF via gateway_proxy_handler

Also known asBIT-mlflow-2025-52967CVE-2025-52967PYSEC-2025-52
Published
Jun 23, 2025
Updated
Sep 25, 2025
Affected
2 pkgs
Patched
2 / 2
Exploits
None indexed
Exploitation data as of Sep 24, 2026 · OSV.dev, FIRST.org (EPSS)

Exploitation Status

No confirmed exploitation observed yet

  • CISA assesses this as automatable — exploitation doesn’t require manual, per-target effort, which raises the odds of mass scanning and opportunistic attacks.
  • CISA’s own triage has not observed active exploitation or public proof-of-concept code for this CVE as of its last assessment.

Exploitation and automatability from CISA’s SSVC triage for GHSA-wxj7-3fx5-pp9m.

EPSS Exploitation Probability

via FIRST.org ↗
0.4%probability of exploitation in next 30 days
Lower Risk0.00%
Lower risk than most CVEs35th percentile — riskier than 35% of all scored CVEsHighest risk

EPSS (Exploit Prediction Scoring System) is a daily probability model maintained by FIRST.org. It estimates the likelihood a CVE will be exploited in production environments within the next 30 days, derived from real-world threat intelligence signals.

How urgent is this, really

GHSA-wxj7-3fx5-pp9m plotted by exploitation likelihood (EPSS) against impact (CVSS). The shaded corner — EPSS 50%+ and CVSS 7.0+ — is where this CVE doesn't sit, though severity or exploitability alone can still warrant action.

Where this sits among everything scored

Of 379,145 CVEs with a current EPSS score, this one falls in the < 10% band (highlighted). Real counts from FIRST.org, not a sample — log-scaled since the landscape is heavily right-skewed.

Real-World Exposure

2 pkgs affected
🐍mlflow🐍mlflow

Real-time download stats are indexed for npm and PyPI packages. This vulnerability affects PyPI packages — download data is not available via public APIs for these ecosystems.

Description

gateway_proxy_handler in MLflow before 3.1.0 lacks gateway_path validation.

Affected Packages

2 total 2 fixed
EcosystemPackageVulnerable rangeFix
🐍PyPImlflow≥ 3.0.0rc0&&< 3.1.03.1.0pip install --upgrade 'mlflow==3.1.0'
🐍PyPImlflowall versions2.22.2pip install --upgrade 'mlflow==2.22.2'

Detection & mitigation playbook

Open-source dependency
  1. Detect

    Scan your dependency tree (package-lock.json, pnpm-lock.yaml, requirements.txt, go.sum, etc.) for mlflow, including transitive dependencies — a direct dependency you never call can still pull in a vulnerable version.

  2. Fix

    Update mlflow to 3.1.0 or later, then make sure no transitive (indirect) dependency still pins the vulnerable range — O3 confirms GHSA-wxj7-3fx5-pp9m is resolved across your whole dependency graph.

  3. Workarounds

    If you can't upgrade right away: gate or disable the affected feature, validate untrusted input at the boundary, and avoid passing attacker-controlled data into the vulnerable path. O3's runtime protection blocks exploitation in production as an interim safeguard until the upgrade lands.

  4. How O3 protects you

    O3 Security's impact-aware SCA analyses which vulnerable code paths your application actually calls, so a match like GHSA-wxj7-3fx5-pp9m can be triaged on real exposure rather than presence alone.

Tailored to GHSA-wxj7-3fx5-pp9m. Runtime protection reduces exposure until a permanent patch is applied and verified — it complements patching, it doesn't replace it.

Frequently Asked Questions

gateway_proxy_handler in MLflow before 3.1.0 lacks gateway_path validation.
O3 Security · Impact-Aware SCA

Is GHSA-wxj7-3fx5-pp9m in your dependencies?

O3 Security finds GHSA-wxj7-3fx5-pp9m across PyPI dependencies, including transitive ones, and its impact-aware SCA ranks findings by whether your code actually calls the vulnerable path.

GHSA-wxj7-3fx5-pp9m: mlflow (Medium 5.8) | O3 Security