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Critical · 9.8 Scanner template Public exploit CVE-2023-47248 EUVD-2023-0212GHSA-5wvp-7f3h-6wmmPYSEC-2023-238

PyArrow, PyArrow: Arbitrary code execution when loading a malicious data file

Published Nov 9, 2023 · Updated Feb 13, 2025 · Assigned by apache

Vendor: Apache Software Foundation Product: PyArrow Package: pyarrow Ecosystem: PyPI

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.

Affected products

VendorProductAffectedFixed
Apache Software Foundation PyArrow 0.14.0 – ≤ 14.0.0 —

Fixed in Linux distributions

Distributions backport fixes, so the version that fixes this vulnerability differs per release — upgrade to at least the version shown. From the distributions' security trackers and advisories.

openSUSE

Security tracker ↗
ReleasePackageFixed inAdvisory
openSUSE Tumbleweed python-geopandas 1.1.4-1.1 openSUSE-SU-2026:11616-1
openSUSE Tumbleweed python-pandas 3.0.3-1.2 openSUSE-SU-2026:11341-1

Public exploits

Exploit or proof-of-concept code for this vulnerability is publicly available, which lowers the bar for attackers. Treat it as a reason to patch sooner.

Third-party code, not reviewed by us. Public PoCs are sometimes fake or contain malware. Read the code first and run it only in an isolated lab, against systems you are authorised to test.

GitHub 1 repository

Sources: PoC-in-GitHub, Metasploit Framework, Exploit-DB — updated daily. Only links are listed; no exploit code is hosted here.

Automated scanner template

A ready-made Nuclei template detects this vulnerability automatically. Vulnerabilities with public scanner templates are typically probed across the internet soon after the template appears — exposed systems should be patched first.

Source: projectdiscovery/nuclei-templates (MIT) — updated daily. Only links are listed.

Affected packages

EcosystemPackageAffectedFixedRecord
PyPI pyarrow >= 0.14.0, < 14.0.1 14.0.1 GHSA-5wvp-7f3h-6wmm

Advisories 4

References