CVSS 3.1 Score 8.8 of 10 (high)


Published Jun 4, 2024
CWE ID 502


CVE-2024-37053 is a vulnerability that affects the MLflow platform versions 1.1.0 or newer, allowing for the deserialization of untrusted data. This vulnerability enables a maliciously uploaded scikit-learn model to execute arbitrary code on an end user's system when interacted with. The risk score for this vulnerability is 65 out of 100, indicating a high level of danger. The exploitability score is 2.8 out of 10, suggesting that it is moderately easy to exploit. The base severity is rated as high, with a score of 8.8 out of 10. It requires user interaction and can be exploited through the network. The impact includes high integrity and confidentiality impacts, as well as high availability impact. The CVE ID name for this vulnerability is CVE-2024-37053 and it falls under the category of CWE-502, which refers to the deserialization of untrusted data. No analysis description is available at this time.


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