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 ...

abadpour (>=6.13.1 <=7.24.1), abcli (>=9.273.1 <=9.572.1) +702 more potentially affected by CVE-2025-15031 via mlflow (>=3.0.0rc2 <=3.9.0)

mlflow PYPI version =3.0.0rc2, =6.13.1, =9.273.1, =2.0.0, =0.1.0, =0.1.0, =0.4.4, =0.3.0, =0.1.0, =1.0.0, =1.1.0, =0.1.0, =1.0.0, =1.0.1 and more Source cves: CVE-2025-15031 Source advisory: SNYK:PYTHON-MLFLOW-15700505...

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...

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

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 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

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 ...

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...

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...

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...

a2 (>=0.1.0 <=0.3.17), abadpour (>=6.13.1 <=7.24.1) +952 more potentially affected by CVE-2025-14287 via mlflow (>=0.8.2 <=3.6.0rc0)

mlflow PYPI version =0.8.2, =0.1.0, =6.13.1, =9.273.1, =1.1.0, =0.1.0, =0.1.0, =0.4.4, =0.3.0, =0.0.5, =1.0.0, =0.1.0, =1.1.1 - ai-helpers-pytorch-utils =0.1.0a1 - ailine-core =0.5.5 and more Source cves: CVE-2025-14287 Source advisory: OSV:GHSA-XCH3-2F9X-WH9F...

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...

GHSA-XCH3-2F9X-WH9F MLflow has a command injection in mlflow/sagemaker/__init__.py

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...

MLflow has a command injection in mlflow/sagemaker/__init__.py

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...

CVE-2025-14287

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...

CVE-2025-14287 Command Injection in mlflow/mlflow

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...

abadpour (>=6.13.1 <=7.24.1), abcli (>=9.273.1 <=9.572.1) +765 more potentially affected by CVE-2025-14287 via mlflow-skinny (>=3.0.0 <=3.8.0)

mlflow-skinny PYPI version =3.0.0, =6.13.1, =9.273.1, =2.0.0, =0.1.0, =0.1.0, =0.4.4, =0.3.0, =0.1.0, =1.0.0, =0.1.0, =1.0.0, =1.0.1 and more Source cves: CVE-2025-14287 Source advisory: SNYK:PYTHON-MLFLOWSKINNY-16698158...