How severe is CVE-2024-37052?

CVE-2024-37052 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-2024-37052 being actively exploited?

It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (45th percentile), an estimate of the probability of exploitation in the next 30 days.

What products are affected by CVE-2024-37052?

CVE-2024-37052 affects Lfprojects Mlflow. See the affected-products list for the exact vulnerable versions.

How do I fix CVE-2024-37052?

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-2024-37052 have an EU (EUVD) identifier?

Yes. CVE-2024-37052 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2024-1956.

When was CVE-2024-37052 published?

CVE-2024-37052 was published on 2024-06-04 and last updated on 2026-06-17.

CVE-2024-37052

CVE-2024-37052 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-502.

Key facts

Severity: High (CVSS 3.x base score 8.8)
EPSS exploit prediction: 1% (45th percentile)
Actively exploited: Not listed in CISA KEV
EU (EUVD) id: EUVD-2024-1956
Weakness: CWE-502
Affected product: Lfprojects Mlflow
Published: 2024-06-04
Last modified: 2026-06-17

Description

Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.

Frequently asked questions

What is CVE-2024-37052?: Deserialization of untrusted data can occur in versions of the MLflow platform running version 1.1.0 or newer, enabling a maliciously uploaded scikit-learn model to run arbitrary code on an end user’s system when interacted with.
How severe is CVE-2024-37052?: CVE-2024-37052 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-2024-37052 being actively exploited?: It is not currently listed in CISA's KEV catalog. Its EPSS exploit-prediction score is 1% (45th percentile), an estimate of the probability of exploitation in the next 30 days.
What products are affected by CVE-2024-37052?: CVE-2024-37052 affects Lfprojects Mlflow. See the affected-products list for the exact vulnerable versions.
How do I fix CVE-2024-37052?: 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-2024-37052 have an EU (EUVD) identifier?: Yes. CVE-2024-37052 is tracked in the ENISA EU Vulnerability Database (EUVD) as EUVD-2024-1956.
When was CVE-2024-37052 published?: CVE-2024-37052 was published on 2024-06-04 and last updated on 2026-06-17.

References

https://hiddenlayer.com/sai-security-advisory/mlflow-june2024

Affected products (1)

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

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