CVE-2025-15036

A path traversal vulnerability exists in the extractarchivetodir function within the mlflow/pyfunc/dbconnectartifactcache.py file of the mlflow/mlflow repository. This vulnerability, present in versions before v3.7.0, arises due to the lack of validation of tar member paths during extraction. An...

abadpour (>=6.13.1 <=7.24.1), abcli (>=9.273.1 <=9.572.1) +696 more potentially affected by CVE-2025-15036 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, =0.20.9, =0.21.10 and more Source cves: CVE-2025-15036 Source advisory: SNYK:PYTHON-MLFLOW-15813036...

abadpour (>=6.13.1 <=7.24.1), abcli (>=9.273.1 <=9.572.1) +757 more potentially affected by CVE-2025-15036 via mlflow-skinny (>=3.0.0 <=3.9.0)

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, =1.1.0, =0.1.0, =0.20.9, =0.21.10 and more Source cves: CVE-2025-15036 Source advisory: SNYK:PYTHON-MLFLOWSKINNY-16698206...

Arbitrary File Write via Archive Extraction (Zip Slip)

Overview Affected versions of this package are vulnerable to Arbitrary File Write via Archive Extraction Zip Slip via the extractarchivetodir function. An attacker can overwrite arbitrary files or gain elevated privileges by supplying a crafted tar.gz file containing malicious paths during...

Arbitrary File Write via Archive Extraction (Zip Slip)

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 Arbitrary File Write via Archive Extraction Zip Slip via the...

CVE-2025-15036 Path Traversal Vulnerability in mlflow/mlflow

A path traversal vulnerability exists in the extractarchivetodir function within the mlflow/pyfunc/dbconnectartifactcache.py file of the mlflow/mlflow repository. This vulnerability, present in versions before v3.7.0, arises due to the lack of validation of tar member paths during extraction. An...

CVE-2025-15036 Path Traversal Vulnerability in mlflow/mlflow

A path traversal vulnerability exists in the extractarchivetodir function within the mlflow/pyfunc/dbconnectartifactcache.py file of the mlflow/mlflow repository. This vulnerability, present in versions before v3.7.0, arises due to the lack of validation of tar member paths during extraction. An...

CVE-2025-15036

A path traversal vulnerability exists in the extractarchivetodir function within the mlflow/pyfunc/dbconnectartifactcache.py file of the mlflow/mlflow repository. This vulnerability, present in versions before v3.7.0, arises due to the lack of validation of tar member paths during extraction. An...

CVE-2025-15036

CVE-2025-15036 concerns a path-traversal vulnerability in the mlflow/mlflow project, specifically in mlflow/pyfunc/dbconnect_artifact_cache.py within extract_archive_to_dir(). The issue arises from unvalidated tar member paths during extraction, allowing a tar.gz controlled by an attacker to over...

PT-2026-28273

Name of the Vulnerable Software and Affected Versions mlflow versions prior to 3.7.0 Description A path traversal issue exists in the extract archive to dir function within the mlflow/pyfunc/dbconnect artifact cache.py file of the mlflow/mlflow repository. The issue is due to insufficient...

PT-2026-28801

Name of the Vulnerable Software and Affected Versions MLflow versions 3.8.0 through 3.8.1 Description A command injection issue exists in MLflow’s model serving container initialization code, specifically within the install model dependencies to env function. When deploying a model with env...

MLflow 命令注入漏洞

MLflow is an open-source platform that simplifies machine learning development. It includes features like tracking experiments, packaging code for reproducible runs, and sharing and deploying models. Version 3.8.0 of MLflow contains a command injection vulnerability. This vulnerability stems from...

MLflow 安全漏洞

MLflow is an open-source platform that simplifies machine learning development. It includes features like tracking experiments, packaging code for reproducible runs, and sharing and deploying models. Versions of MLflow prior to 3.7.0 contained a security vulnerability. This vulnerability stemmed...

EUVD-2025-209100

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...

a2 (>=0.1.0 <=0.3.17), abadpour (>=6.13.1 <=7.24.1) +946 more potentially affected by CVE-2025-15381 via mlflow (>=0.8.2 <=3.8.1)

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-2025-15381 Source advisory: OSV:GHSA-G6PG-52VF-843H...

azure-ai-generative (>=1.0.0b1 <=1.0.0b3), azure-ai-resources (>=1.0.0b1 <=1.0.0b9) +30 more potentially affected by CVE-2025-15381 via mlflow-skinny (>=3.0.0 <=3.11.0rc0)

mlflow-skinny PYPI version =3.0.0, =1.0.0b1, =1.0.0b1, =0.1.0, =0.1.0, =2.5.0, =0.0.13, =7.1.1, =0.2.0, =0.2.1 and more Source cves: CVE-2025-15381 Source advisory: SNYK:PYTHON-MLFLOWSKINNY-15870197...

databricks-agents (>=0.1.0 <=1.0.0rc1), datamint (>=2.5.0 <=2.5.2) +18 more potentially affected by CVE-2025-15381 via mlflow (>=3.0.0rc2 <=3.10.1)

mlflow PYPI version =3.0.0rc2, =0.1.0, =2.5.0, =7.1.1, =0.2.0, =3.10.1, =1.0.1, =1.0.1, =3.0.15, =0.2.0.dev0, =0.6.7, =0.1.19, =0.1.0, =0.1.8 and more Source cves: CVE-2025-15381 Source advisory: SNYK:PYTHON-MLFLOW-15870196...

MLFlow allows Tracing + Assessments Access

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...

Exposure of Sensitive System Information to an Unauthorized Control Sphere

Overview Affected versions of this package are vulnerable to Exposure of Sensitive System Information to an Unauthorized Control Sphere in the tracing and assessment endpoints. An attacker can access sensitive trace metadata and create unauthorized assessments by authenticating with any user...

Exposure of Sensitive System Information to an Unauthorized Control Sphere

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 Exposure of Sensitive System Information to an Unauthorized Contro...