CVE-2023-43472: An issue in MLFlow versions 2.8.1 and before allows a remote attacker to obtain sensitive information via a crafted requ
Summary
CVE-2023-43472 is a vulnerability in MLFlow (an open-source platform for managing machine learning workflows) versions 2.8.1 and earlier that allows a remote attacker to obtain sensitive information by sending a specially crafted request to the REST API (the interface that programs use to communicate with MLFlow). The vulnerability has a CVSS severity score of 4.0 (a moderate risk level on a scale of 0-10).
Vulnerability Details
7.5(high)
EPSS: 74.4%
Classification
Affected Vendors
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Original source: https://nvd.nist.gov/vuln/detail/CVE-2023-43472
First tracked: February 15, 2026 at 08:46 PM
Classified by LLM (prompt v3) · confidence: 85%