CVSS 3.1 Score 8.8 of 10 (high)


Published Jun 4, 2024
CWE ID 502


CVE-2024-37052 is a vulnerability that affects versions 1.1.0 and newer of the MLflow platform. It allows for the deserialization of untrusted data, which can lead to arbitrary code execution on an end user's system when interacting with a maliciously uploaded scikit-learn model. The vulnerability is rated as high severity, with a base score of 8.8, and poses a potential danger to organizations as it can result in the compromise of confidentiality, integrity, and availability of their systems. The exploitability score is 2.8, indicating that it is moderately difficult to exploit, and user interaction is required for the vulnerability to be exploited. Organizations should update their MLflow platform to a version that addresses this vulnerability in order to remediate it effectively.

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