Upstream information

CVE-2023-47248 at MITRE

Description

Deserialization of untrusted data in IPC and Parquet readers in PyArrow versions 0.14.0 to 14.0.0 allows arbitrary code execution. An application is vulnerable if it reads Arrow IPC, Feather or Parquet data from untrusted sources (for example user-supplied input files). This vulnerability only affects PyArrow, not other Apache Arrow implementations or bindings. It is recommended that users of PyArrow upgrade to 14.0.1. Similarly, it is recommended that downstream libraries upgrade their dependency requirements to PyArrow 14.0.1 or later. PyPI packages are already available, and we hope that conda-forge packages will be available soon. If it is not possible to upgrade, we provide a separate package `pyarrow-hotfix` that disables the vulnerability on older PyArrow versions. See https://pypi.org/project/pyarrow-hotfix/ for instructions.

SUSE information

Overall state of this security issue: Resolved

This issue is currently rated as having critical severity.

CVSS v3 Scores
  National Vulnerability Database SUSE
Base Score 9.8 9.8
Vector CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Attack Vector Network Network
Attack Complexity Low Low
Privileges Required None None
User Interaction None None
Scope Unchanged Unchanged
Confidentiality Impact High High
Integrity Impact High High
Availability Impact High High
CVSSv3 Version 3.1 3.1
SUSE Bugzilla entry: 1216991 [NEW]

No SUSE Security Announcements cross referenced.

List of released packages

Product(s) Fixed package version(s) References
openSUSE Tumbleweed
  • python310-geopandas >= 0.14.1-1.1
  • python310-pandas >= 2.1.3-1.1
  • python310-pandas-all >= 2.1.3-1.1
  • python310-pandas-clipboard >= 2.1.3-1.1
  • python310-pandas-compression >= 2.1.3-1.1
  • python310-pandas-computation >= 2.1.3-1.1
  • python310-pandas-excel >= 2.1.3-1.1
  • python310-pandas-feather >= 2.1.3-1.1
  • python310-pandas-fss >= 2.1.3-1.1
  • python310-pandas-hdf5 >= 2.1.3-1.1
  • python310-pandas-html >= 2.1.3-1.1
  • python310-pandas-mysql >= 2.1.3-1.1
  • python310-pandas-output_formatting >= 2.1.3-1.1
  • python310-pandas-parquet >= 2.1.3-1.1
  • python310-pandas-performance >= 2.1.3-1.1
  • python310-pandas-plot >= 2.1.3-1.1
  • python310-pandas-postgresql >= 2.1.3-1.1
  • python310-pandas-spss >= 2.1.3-1.1
  • python310-pandas-sql-other >= 2.1.3-1.1
  • python310-pandas-test >= 2.1.3-1.1
  • python310-pandas-xml >= 2.1.3-1.1
  • python310-pyarrow >= 14.0.1-2.1
  • python310-pyarrow-devel >= 14.0.1-2.1
  • python311-geopandas >= 0.14.1-1.1
  • python311-pandas >= 2.1.3-1.1
  • python311-pandas-all >= 2.1.3-1.1
  • python311-pandas-clipboard >= 2.1.3-1.1
  • python311-pandas-compression >= 2.1.3-1.1
  • python311-pandas-computation >= 2.1.3-1.1
  • python311-pandas-excel >= 2.1.3-1.1
  • python311-pandas-feather >= 2.1.3-1.1
  • python311-pandas-fss >= 2.1.3-1.1
  • python311-pandas-hdf5 >= 2.1.3-1.1
  • python311-pandas-html >= 2.1.3-1.1
  • python311-pandas-mysql >= 2.1.3-1.1
  • python311-pandas-output_formatting >= 2.1.3-1.1
  • python311-pandas-parquet >= 2.1.3-1.1
  • python311-pandas-performance >= 2.1.3-1.1
  • python311-pandas-plot >= 2.1.3-1.1
  • python311-pandas-postgresql >= 2.1.3-1.1
  • python311-pandas-spss >= 2.1.3-1.1
  • python311-pandas-sql-other >= 2.1.3-1.1
  • python311-pandas-test >= 2.1.3-1.1
  • python311-pandas-xml >= 2.1.3-1.1
  • python311-pyarrow >= 14.0.1-2.1
  • python311-pyarrow-devel >= 14.0.1-2.1
  • python39-geopandas >= 0.14.1-1.1
  • python39-pandas >= 2.1.3-1.1
  • python39-pandas-all >= 2.1.3-1.1
  • python39-pandas-clipboard >= 2.1.3-1.1
  • python39-pandas-compression >= 2.1.3-1.1
  • python39-pandas-computation >= 2.1.3-1.1
  • python39-pandas-excel >= 2.1.3-1.1
  • python39-pandas-feather >= 2.1.3-1.1
  • python39-pandas-fss >= 2.1.3-1.1
  • python39-pandas-hdf5 >= 2.1.3-1.1
  • python39-pandas-html >= 2.1.3-1.1
  • python39-pandas-mysql >= 2.1.3-1.1
  • python39-pandas-output_formatting >= 2.1.3-1.1
  • python39-pandas-parquet >= 2.1.3-1.1
  • python39-pandas-performance >= 2.1.3-1.1
  • python39-pandas-plot >= 2.1.3-1.1
  • python39-pandas-postgresql >= 2.1.3-1.1
  • python39-pandas-spss >= 2.1.3-1.1
  • python39-pandas-sql-other >= 2.1.3-1.1
  • python39-pandas-test >= 2.1.3-1.1
  • python39-pandas-xml >= 2.1.3-1.1
  • python39-pyarrow >= 14.0.1-2.1
  • python39-pyarrow-devel >= 14.0.1-2.1
 Patchnames:
openSUSE Tumbleweed GA python310-geopandas-0.14.1-1.1
openSUSE Tumbleweed GA python310-pandas-2.1.3-1.1
openSUSE Tumbleweed GA python310-pyarrow-14.0.1-2.1

Status of this issue by product and package

Please note that this evaluation state might be work in progress, incomplete or outdated. Also information for service packs in the LTSS phase is only included for issues meeting the LTSS criteria. If in doubt, feel free to contact us for clarification. The updates are grouped by state of their lifecycle. SUSE product lifecycles are documented on the lifecycle page.

Product(s) Source package State
Products under general support and receiving all security fixes.
SUSE Enterprise Storage 7.1 python-arrow Not affected
SUSE Linux Enterprise Desktop 15 SP5 python-arrow Not affected
SUSE Linux Enterprise High Performance Computing 15 SP5 python-arrow Not affected
SUSE Linux Enterprise Module for Containers 15 SP5 python-arrow Not affected
SUSE Linux Enterprise Module for Python 3 15 SP5 python-arrow Not affected
SUSE Linux Enterprise Server 15 SP5 python-arrow Not affected
SUSE Linux Enterprise Server for SAP Applications 15 SP5 python-arrow Not affected
SUSE Manager Proxy 4.3 python-arrow Not affected
SUSE Manager Retail Branch Server 4.3 python-arrow Not affected
SUSE Manager Server 4.3 python-arrow Not affected
Products under Long Term Service Pack support and receiving important and critical security fixes.
SUSE Linux Enterprise Desktop 15 SP4 python-arrow Not affected
SUSE Linux Enterprise High Performance Computing 15 SP3 python-arrow Not affected
SUSE Linux Enterprise High Performance Computing 15 SP3-ESPOS python-arrow Not affected
SUSE Linux Enterprise High Performance Computing 15 SP3-LTSS python-arrow Not affected
SUSE Linux Enterprise High Performance Computing 15 SP4 python-arrow Not affected
SUSE Linux Enterprise High Performance Computing 15 SP4-ESPOS python-arrow Not affected
SUSE Linux Enterprise High Performance Computing 15 SP4-LTSS python-arrow Not affected
SUSE Linux Enterprise Module for Containers 15 SP3 python-arrow Not affected
SUSE Linux Enterprise Module for Containers 15 SP4 python-arrow Not affected
SUSE Linux Enterprise Module for Python 3 15 SP4 python-arrow Not affected
SUSE Linux Enterprise Server 15 SP3 python-arrow Not affected
SUSE Linux Enterprise Server 15 SP3-LTSS python-arrow Not affected
SUSE Linux Enterprise Server 15 SP4 python-arrow Not affected
SUSE Linux Enterprise Server 15 SP4-LTSS python-arrow Not affected
SUSE Linux Enterprise Server for SAP Applications 15 SP3 python-arrow Not affected
SUSE Linux Enterprise Server for SAP Applications 15 SP4 python-arrow Not affected
Products past their end of life and not receiving proactive updates anymore.
SUSE Linux Enterprise Server 15 SP3-BCL python-arrow Not affected
SUSE Manager Proxy 4.2 python-arrow Not affected
SUSE Manager Retail Branch Server 4.2 python-arrow Not affected
SUSE Manager Server 4.2 python-arrow Not affected

SUSE Timeline for this CVE

CVE page created: Thu Nov 9 11:00:07 2023
CVE page last modified: Tue Apr 23 13:53:21 2024