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CVE-2024-6838— Uncontrolled Resource Consumption in mlflow/mlflow

Quick assessment

Affected
mlflow mlflow/mlflow
Exploitation
No confirmed in-the-wild exploitation; assess based on exposure
Recommended action
Check the vendor advisory and references for a fixed version. If immediate upgrade is impossible, restrict exposure and increase monitoring.

MLflow是MLflow开源的一个简化机器学习开发的平台,包括跟踪实验、将代码打包成可重复的运行以及共享和部署模型。 MLflow v2.13.2版本存在安全漏洞,该漏洞源于实验名称无限制,可能导致拒绝服务。

AI Predicted 5.3 Difficulty: Trivial EPSS 0.66% · P51
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I. Basic Information for CVE-2024-6838

Vulnerability Information

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Vulnerability Title
Uncontrolled Resource Consumption in mlflow/mlflow
Source: CVE Program / CVE List V5
Vulnerability Description
In mlflow/mlflow version v2.13.2, a vulnerability exists that allows the creation or renaming of an experiment with a large number of integers in its name due to the lack of a limit on the experiment name. This can cause the MLflow UI panel to become unresponsive, leading to a potential denial of service. Additionally, there is no character limit in the `artifact_location` parameter while creating the experiment.
Source: CVE Program / CVE List V5
CVSS Information
N/A
Source: CVE Program / CVE List V5
Vulnerability Type
未加控制的资源消耗(资源穷尽)
Source: CVE Program / CVE List V5
Vulnerability Title
MLflow 安全漏洞
Source: CNNVD (China National Vulnerability Database)
Vulnerability Description
MLflow是MLflow开源的一个简化机器学习开发的平台,包括跟踪实验、将代码打包成可重复的运行以及共享和部署模型。 MLflow v2.13.2版本存在安全漏洞,该漏洞源于实验名称无限制,可能导致拒绝服务。
Source: CNNVD (China National Vulnerability Database)
CVSS Information
N/A
Source: CNNVD (China National Vulnerability Database)
Vulnerability Type
N/A
Source: CNNVD (China National Vulnerability Database)

Affected Products

Vendor Product Affected Versions CPE Subscribe
mlflow mlflow/mlflow unspecified ~ latest -

II. Public POCs for CVE-2024-6838

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III. Intelligence Information for CVE-2024-6838

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Vendor Advisories for CVE-2024-6838 (1)

Same Patch Batch · mlflow · 2025-03-20 · 5 CVEs total

CVE-2025-0453 Denial of Service through Batched Queries in GraphQL in mlflow/mlflow
CVE-2025-1474 Weak Password Requirements in mlflow/mlflow
CVE-2025-1473 CSRF in mlflow/mlflow
CVE-2024-8859 Path Traversal in mlflow/mlflow

IV. Related Vulnerabilities

V. Comments for CVE-2024-6838

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