How severe is CVE-2025-14287?

CVE-2025-14287 has a CVSS 3.x base score of 8.8, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and user interaction. Impact on confidentiality is high, integrity high, and availability high.

Is CVE-2025-14287 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (70th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2025-14287?

CVE-2025-14287 affects Lfprojects Mlflow. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2025-14287?

Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.

Does CVE-2025-14287 have an EU (EUVD) identifier?

Yes. CVE-2025-14287 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-208671.

When was CVE-2025-14287 published?

CVE-2025-14287 was published on 2026-03-16 and last updated on 2026-06-30.

CVE-2025-14287

CVE-2025-14287 is a high-severity vulnerability in Lfprojects Mlflow with a CVSS 3.x base score of 8.8. It is not currently listed as actively exploited by CISA, and its EPSS exploit-prediction score is low. The underlying weakness is classified as CWE-94.

Key facts

Severity: High (CVSS 3.x base score 8.8)
EPSS exploit prediction: 1% (70th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2025-208671
Weakness: CWE-94
Affected product: Lfprojects Mlflow
Published: 2026-03-16
Last modified: 2026-06-30

Description

A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, which are then executed using `os.system()`. This allows attackers to execute arbitrary commands by supplying malicious input through the `--container` parameter of the CLI. The issue affects environments where MLflow is used, including development setups, CI/CD pipelines, and cloud deployments.

Frequently asked questions

What is CVE-2025-14287?: A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the `mlflow/sagemaker/__init__.py` file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, which are then executed using `os.system()`. This allows attackers to execute arbitrary commands by supplying malicious input through the `--container` parameter of the CLI. The issue affects environments where MLflow is used, including development setups, CI/CD pipelines, and cloud deployments.
How severe is CVE-2025-14287?: CVE-2025-14287 has a CVSS 3.x base score of 8.8, rated high severity. It is exploitable over network with low attack complexity, requires no privileges and user interaction. Impact on confidentiality is high, integrity high, and availability high.
Is CVE-2025-14287 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (70th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2025-14287?: CVE-2025-14287 affects Lfprojects Mlflow. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2025-14287?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its high severity, prioritise patching exposed systems.
Does CVE-2025-14287 have an EU (EUVD) identifier?: Yes. CVE-2025-14287 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-208671.
When was CVE-2025-14287 published?: CVE-2025-14287 was published on 2026-03-16 and last updated on 2026-06-30.

References

Affected products (1)

cpe:2.3:a:lfprojects:mlflow:*:-:*:*:*:*:*:*

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