How severe is CVE-2025-15379?

CVE-2025-15379 has a CVSS 3.x base score of 9.8, rated critical severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity high, and availability high.

Is CVE-2025-15379 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 2% (78th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2025-15379?

CVE-2025-15379 affects Lfprojects Mlflow. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2025-15379?

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

Does CVE-2025-15379 have an EU (EUVD) identifier?

Yes. CVE-2025-15379 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-209121.

When was CVE-2025-15379 published?

CVE-2025-15379 was published on 2026-03-30 and last updated on 2026-06-30.

CVE-2025-15379

CVE-2025-15379 is a critical-severity vulnerability in Lfprojects Mlflow with a CVSS 3.x base score of 9.8. 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-77.

Key facts

Severity: Critical (CVSS 3.x base score 9.8)
EPSS exploit prediction: 2% (78th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2025-209121
Weakness: CWE-77
Affected product: Lfprojects Mlflow
Published: 2026-03-30
Last modified: 2026-06-30

Description

A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.

Frequently asked questions

What is CVE-2025-15379?: A command injection vulnerability exists in MLflow's model serving container initialization code, specifically in the `_install_model_dependencies_to_env()` function. When deploying a model with `env_manager=LOCAL`, MLflow reads dependency specifications from the model artifact's `python_env.yaml` file and directly interpolates them into a shell command without sanitization. This allows an attacker to supply a malicious model artifact and achieve arbitrary command execution on systems that deploy the model. The vulnerability affects versions 3.8.0 and is fixed in version 3.8.2.
How severe is CVE-2025-15379?: CVE-2025-15379 has a CVSS 3.x base score of 9.8, rated critical severity. It is exploitable over network with low attack complexity, requires no privileges and no user interaction. Impact on confidentiality is high, integrity high, and availability high.
Is CVE-2025-15379 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 2% (78th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2025-15379?: CVE-2025-15379 affects Lfprojects Mlflow. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2025-15379?: Review the linked vendor and NVD advisories for patched versions and mitigations, then upgrade or apply the recommended workaround. Given its critical severity, prioritise patching exposed systems.
Does CVE-2025-15379 have an EU (EUVD) identifier?: Yes. CVE-2025-15379 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-209121.
When was CVE-2025-15379 published?: CVE-2025-15379 was published on 2026-03-30 and last updated on 2026-06-30.

References

Affected products (1)

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

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