GHSA-F2M9-WCF4-CWWX MLFlow Creates a Temporary File With Insecure Permissions

In mlflow/mlflow versions prior to 3.11.0, the getorcreatenfstmpdir function in mlflow/utils/fileutils.py creates temporary directories with world-writable permissions 0o777, and the createmodeldownloadingtmpdir function in mlflow/pyfunc/init.py creates directories with group-writable permissions...

MLFlow Creates a Temporary File With Insecure Permissions

In mlflow/mlflow versions prior to 3.11.0, the getorcreatenfstmpdir function in mlflow/utils/fileutils.py creates temporary directories with world-writable permissions 0o777, and the createmodeldownloadingtmpdir function in mlflow/pyfunc/init.py creates directories with group-writable permissions...

CVE-2026-4137

In mlflow/mlflow versions prior to 3.11.0, the getorcreatenfstmpdir function in mlflow/utils/fileutils.py creates temporary directories with world-writable permissions 0o777, and the createmodeldownloadingtmpdir function in mlflow/pyfunc/init.py creates directories with group-writable permissions...

EUVD-2026-30807

In mlflow/mlflow versions prior to 3.11.0, the getorcreatenfstmpdir function in mlflow/utils/fileutils.py creates temporary directories with world-writable permissions 0o777, and the createmodeldownloadingtmpdir function in mlflow/pyfunc/init.py creates directories with group-writable permissions...

CVE-2026-4137 Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow

In mlflow/mlflow versions prior to 3.11.0, the getorcreatenfstmpdir function in mlflow/utils/fileutils.py creates temporary directories with world-writable permissions 0o777, and the createmodeldownloadingtmpdir function in mlflow/pyfunc/init.py creates directories with group-writable permissions...

CVE-2026-4137

CVE-2026-4137 : In mlflow/mlflow before 3.11.0, two temp-dir creation paths expose world/group-writable permissions: get_or_create_nfs_tmp_dir() creates 0o777 and _create_model_downloading_tmp_dir() creates 0o770. This enables local attackers with access to shared NFS mounts (e.g., Databricks) to...

CVE-2026-4137 Incomplete Fix for CVE-2025-10279: Insecure Temporary Directory Permissions in mlflow/mlflow

In mlflow/mlflow versions prior to 3.11.0, the getorcreatenfstmpdir function in mlflow/utils/fileutils.py creates temporary directories with world-writable permissions 0o777, and the createmodeldownloadingtmpdir function in mlflow/pyfunc/init.py creates directories with group-writable permissions...

CVE-2026-4137: Creation of Temporary File With Insecure Permissions

In mlflow/mlflow versions prior to 3.11.0, the getorcreatenfstmpdir function in mlflow/utils/fileutils.py creates temporary directories with world-writable permissions 0o777, and the createmodeldownloadingtmpdir function in mlflow/pyfunc/init.py creates directories with group-writable permissions...

CVE-2026-31234

Horovod thru 0.28.1 contains an insecure deserialization vulnerability CWE-502 in its KVStore HTTP server component. The KVStore server, used for distributed task coordination, lacks authentication and authorization controls, allowing any remote attacker to write arbitrary data via HTTP PUT...

CVE-2026-31234

Horovod versions up to and including 0.28.1 are vulnerable to an insecure deserialization (CWE-502) flaw within its KVStore HTTP server component. The KVStore server, utilized for distributed task coordination, lacks necessary authentication and authorization controls, which enables a remote atta...

Horovod 安全漏洞

Horovod is a distributed training framework developed by Horovod OpenSource, based on TensorFlow, Keras, PyTorch, and Apache MXNet. Horovod versions 0.28.1 and earlier contain security vulnerabilities. These vulnerabilities stem from the lack of authentication and authorization controls in the...

PT-2026-40121

Name of the Vulnerable Software and Affected Versions Horovod versions prior to 0.28.2 Description The KVStore HTTP server component, used for distributed task coordination, lacks authentication and authorization controls. This allows a remote attacker to write arbitrary data using HTTP PUT...

Deserialization Of Untrusted Data

Ray is vulnerable to Deserialization of Untrusted Data. The vulnerability is due to Ray Data globally registering custom Arrow extension types and passing metadata bytes directly to cloudpickle.loads during PyArrow schema parsing, which allows an attacker to achieve arbitrary code execution by...

PYSEC-2026-2296

Ray is an AI compute engine. From version 2.54.0 to before version 2.55.0, Ray Data registers custom Arrow extension types ray.data.arrowtensor, ray.data.arrowtensorv2, ray.data.arrowvariableshapedtensor globally in PyArrow. When PyArrow reads a Parquet file containing one of these extension type...

CVE-2026-41486

Ray is an AI compute engine. From version 2.54.0 to before version 2.55.0, Ray Data registers custom Arrow extension types ray.data.arrowtensor, ray.data.arrowtensorv2, ray.data.arrowvariableshapedtensor globally in PyArrow. When PyArrow reads a Parquet file containing one of these extension type...

PYSEC-2026-2296

Ray is an AI compute engine. From version 2.54.0 to before version 2.55.0, Ray Data registers custom Arrow extension types ray.data.arrowtensor, ray.data.arrowtensorv2, ray.data.arrowvariableshapedtensor globally in PyArrow. When PyArrow reads a Parquet file containing one of these extension type...

EUVD-2026-28828

Ray is an AI compute engine. From version 2.54.0 to before version 2.55.0, Ray Data registers custom Arrow extension types ray.data.arrowtensor, ray.data.arrowtensorv2, ray.data.arrowvariableshapedtensor globally in PyArrow. When PyArrow reads a Parquet file containing one of these extension type...

CVE-2026-41486

Ray contains a remote code execution flaw (CVE-2026-41486) observed in Ray 2.49.0–2.54.0 where PyArrow reads Parquet extension types in metadata and Ray passes the bytes to cloudpickle.loads() during schema parsing, enabling arbitrary code execution before any row data is read. The issue affects ...

CVE-2026-41486 Ray: Remote Code Execution via Parquet Arrow Extension Type Deserialization

Ray is an AI compute engine. From version 2.54.0 to before version 2.55.0, Ray Data registers custom Arrow extension types ray.data.arrowtensor, ray.data.arrowtensorv2, ray.data.arrowvariableshapedtensor globally in PyArrow. When PyArrow reads a Parquet file containing one of these extension type...

CVE-2026-41486

Ray is an AI compute engine. From version 2.54.0 to before version 2.55.0, Ray Data registers custom Arrow extension types ray.data.arrowtensor, ray.data.arrowtensorv2, ray.data.arrowvariableshapedtensor globally in PyArrow. When PyArrow reads a Parquet file containing one of these extension type...