CVE-2024-37057: Deserialization of untrusted data can occur in versions of the MLflow platform running version 2.0.0rc0 or newer, enabli
Summary
CVE-2024-37057 is a vulnerability in MLflow (an open-source machine learning platform) versions 2.0.0rc0 and newer that allows deserialization of untrusted data (converting data from an untrusted source back into executable code). An attacker could upload a malicious TensorFlow model (a type of machine learning model) that runs arbitrary code (any commands an attacker chooses) on a user's computer when the model is loaded or used.
Vulnerability Details
8.8(high)
EPSS: 0.5%
Classification
Affected Vendors
Related Issues
Original source: https://nvd.nist.gov/vuln/detail/CVE-2024-37057
First tracked: February 15, 2026 at 08:42 PM
Classified by LLM (prompt v3) · confidence: 92%