How severe is CVE-2025-15031?

CVE-2025-15031 has a CVSS 3.x base score of 9.1, 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 none.

Is CVE-2025-15031 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (57th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2025-15031?

CVE-2025-15031 affects Lfprojects Mlflow. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2025-15031?

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-2025-15031 have an EU (EUVD) identifier?

Yes. CVE-2025-15031 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-208848.

When was CVE-2025-15031 published?

CVE-2025-15031 was published on 2026-03-18 and last updated on 2026-07-15.

CVE-2025-15031

CVE-2025-15031 is a critical-severity vulnerability in Lfprojects Mlflow with a CVSS 3.x base score of 9.1. 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-22.

Key facts

Severity: Critical (CVSS 3.x base score 9.1)
EPSS exploit prediction: 1% (57th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2025-208848
Weakness: CWE-22
Affected product: Lfprojects Mlflow
Published: 2026-03-18
Last modified: 2026-07-15

Description

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of `tarfile.extractall` without path validation enables crafted tar.gz files containing `..` or absolute paths to escape the intended extraction directory. This issue affects the latest version of MLflow and poses a high/critical risk in scenarios involving multi-tenant environments or ingestion of untrusted artifacts, as it can lead to arbitrary file overwrites and potential remote code execution.

Frequently asked questions

What is CVE-2025-15031?: A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of `tarfile.extractall` without path validation enables crafted tar.gz files containing `..` or absolute paths to escape the intended extraction directory. This issue affects the latest version of MLflow and poses a high/critical risk in scenarios involving multi-tenant environments or ingestion of untrusted artifacts, as it can lead to arbitrary file overwrites and potential remote code execution.
How severe is CVE-2025-15031?: CVE-2025-15031 has a CVSS 3.x base score of 9.1, 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 none.
Is CVE-2025-15031 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (57th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2025-15031?: CVE-2025-15031 affects Lfprojects Mlflow. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2025-15031?: 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-2025-15031 have an EU (EUVD) identifier?: Yes. CVE-2025-15031 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2025-208848.
When was CVE-2025-15031 published?: CVE-2025-15031 was published on 2026-03-18 and last updated on 2026-07-15.

References

Affected products (1)

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

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