CVE-2025-15381 Unauthorized Access to Tracing and Assessment Endpoints in mlflow/mlflow

In the latest version of mlflow/mlflow, when the basic-auth app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with NOPERMISSIONS on the experiment, to read trace information and create assessments for...

CVE-2025-15381

In the latest version of mlflow/mlflow, when the basic-auth app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with NOPERMISSIONS on the experiment, to read trace information and create assessments for...

CVE-2025-15381

Affected software: mlflow/mlflow (deployments using mlflow server --app-name=basic-auth). Vulnerability: When the basic-auth app is enabled, tracing and assessment endpoints are not protected by permission validators, allowing any authenticated user (including those with NO_PERMISSIONS on the exp...

CVE-2025-15381 Unauthorized Access to Tracing and Assessment Endpoints in mlflow/mlflow

In the latest version of mlflow/mlflow, when the basic-auth app is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, including those with NOPERMISSIONS on the experiment, to read trace information and create assessments for...

PT-2026-28274

Name of the Vulnerable Software and Affected Versions mlflow/mlflow affected versions not specified Description When the basic-auth application is enabled, tracing and assessment endpoints are not protected by permission validators. This allows any authenticated user, even those with NO PERMISSIO...

MLflow 信息泄露漏洞

MLFlow is an open-source platform that simplifies machine learning development. It includes features for tracking experiments, packaging code for reproducible runs, and sharing and deploying models. However, MLFlow has a vulnerability related to information leakage. This vulnerability stems from...

BIT-MLFLOW-2025-15031 Path Traversal Vulnerability in mlflow/mlflow

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of tarfile.extractall without path validation enables crafted tar.gz files containing .. or absolute paths to escape the intended extractio...

GHSA-FHFF-QMM8-H2FP Arbitrary file write via tar traversal in mlflow

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of tarfile.extractall without path validation enables crafted tar.gz files containing .. or absolute paths to escape the intended extractio...

Directory Traversal

Overview mlflow is a platform to streamline machine learning development, including tracking experiments, packaging code into reproducible runs, and sharing and deploying models. Affected versions of this package are vulnerable to Directory Traversal in the extraction process of tar archives due ...

Arbitrary file write via tar traversal in mlflow

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of tarfile.extractall without path validation enables crafted tar.gz files containing .. or absolute paths to escape the intended extractio...

CVE-2025-15031

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of tarfile.extractall without path validation enables crafted tar.gz files containing .. or absolute paths to escape the intended extractio...

CVE-2025-15031 Path Traversal Vulnerability in mlflow/mlflow

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of tarfile.extractall without path validation enables crafted tar.gz files containing .. or absolute paths to escape the intended extractio...

CVE-2025-15031

MLflow is affected by a path-traversal in its pyfunc extraction: tarfile.extractall is used without validating archive paths, allowing crafted tar.gz files to escape the extraction directory via .. or absolute paths. Documents consistently describe potential arbitrary file writes and the risk of ...

CVE-2025-15031 Path Traversal Vulnerability in mlflow/mlflow

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of tarfile.extractall without path validation enables crafted tar.gz files containing .. or absolute paths to escape the intended extractio...

CVE-2025-15031 Path Traversal Vulnerability in mlflow/mlflow

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of tarfile.extractall without path validation enables crafted tar.gz files containing .. or absolute paths to escape the intended extractio...

CVE-2025-15031

A vulnerability in MLflow's pyfunc extraction process allows for arbitrary file writes due to improper handling of tar archive entries. Specifically, the use of tarfile.extractall without path validation enables crafted tar.gz files containing .. or absolute paths to escape the intended extractio...

MLflow 路径遍历漏洞

MLFlow is an open-source platform that simplifies machine learning development. It includes features for tracking experiments, packaging code for reproducible runs, and sharing and deploying models. MLFlow has a path traversal vulnerability, which stems from improper handling of tar archive entri...

PT-2026-26162

Name of the Vulnerable Software and Affected Versions MLflow affected versions not specified Description A flaw exists in the pyfunc extraction process within MLflow that can allow for arbitrary file writes. This occurs because of inadequate handling of entries within tar archives, specifically...

CVE-2025-14287

A flaw was found in MLflow, a platform for managing the machine learning lifecycle. This vulnerability, known as command injection, allows an attacker to execute unauthorized commands on the system. By providing specially crafted input through the --container parameter, an attacker can bypass...

EUVD-2025-208671

A command injection vulnerability exists in mlflow/mlflow versions before v3.7.0, specifically in the mlflow/sagemaker/init.py file at lines 161-167. The vulnerability arises from the direct interpolation of user-supplied container image names into shell commands without proper sanitization, whic...