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CVE-2024-27134

7.0 · HIGH

Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf.

Published Nov 25, 2024CWE-276EPSS 0.12%

Overview

CVE-2024-27134 is a high-severity vulnerability. It was published on November 25, 2024 and has a CVSS 3.1 base score of 7.0 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.0, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical description

Excessive directory permissions in MLflow leads to local privilege escalation when using spark_udf. This behavior can be exploited by a local attacker to gain elevated permissions by using a ToCToU attack. The issue is only relevant when the spark_udf() MLflow API is called.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently asked questions

What is CVE-2024-27134?

CVE-2024-27134 is a high-severity vulnerability. It was published on November 25, 2024 and has a CVSS 3.1 base score of 7.0 (HIGH).

How severe is CVE-2024-27134?

This vulnerability has a CVSS 3.1 base score of 7.0, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2024-27134?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2024-27134?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2024-27134 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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