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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.
It is often convenient to serialize objects for communication or to save them for later use. However, serialized data or code can be modified. This malformed data or unexpected data could be used to abuse application logic, deny service, or execute arbitrary code when deserialized. This is usually done with "gadget chains
OWASP Deserialization Cheat Sheet - This cheatsheet is focused on providing clear, simple, actionable guidance for preventing deserialization flaws in your applications.
OWASP Deserialization of untrusted data - OWASP community page with comprehensive information about deserialization vulnerabilities, and links to various OWASP resources to help detect or prevent it.
Use of vulnerable components will introduce weaknesses into the application. Components with published vulnerabilities will allow easy exploitation as resources will often be available to automate the process.
Vulnerable Library - pyarrow-10.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Python library for Apache Arrow
Library home page: https://files.pythonhosted.org/packages/48/5a/5a52d6af126e6083b88cebd85a414a75c4a155f1f55f0bd87f61fad188ef/pyarrow-10.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Found in HEAD commit: 8007902a6bde49bdad6e8694dfa82feb12e3f45c
Vulnerabilities
**In some cases, Remediation PR cannot be created automatically for a vulnerability despite the availability of remediation
Details
CVE-2023-47248
Vulnerable Library - pyarrow-10.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Python library for Apache Arrow
Library home page: https://files.pythonhosted.org/packages/48/5a/5a52d6af126e6083b88cebd85a414a75c4a155f1f55f0bd87f61fad188ef/pyarrow-10.0.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Path to dependency file: /requirements.txt
Path to vulnerable library: /requirements.txt
Dependency Hierarchy:
Found in HEAD commit: 8007902a6bde49bdad6e8694dfa82feb12e3f45c
Found in base branch: main
Vulnerability Details
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.Publish Date: 2023-11-09
URL: CVE-2023-47248
CVSS 3 Score Details (9.8)
Base Score Metrics:
Suggested Fix
Type: Upgrade version
Origin: https://lists.apache.org/thread/yhy7tdfjf9hrl9vfrtzo8p2cyjq87v7n
Release Date: 2023-11-09
Fix Resolution: pyarrow - 14.0.1
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