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.
Python library for Apache Arrow
Library home page: https://files.pythonhosted.org/packages/2e/8d/c002e27767595f22aa09ed0d364327922f673d12b36526c967a2bf6b2ed7/pyarrow-2.0.0-cp37-cp37m-manylinux2014_x86_64.whl
Path to dependency file: /Day2/Creating DS ENV/requirements.txt
Path to vulnerable library: /Day2/Creating DS ENV/requirements.txt
Found in HEAD commit: 5830f411b03412c02b023ec7b8edb5c1934d18b0
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-2.0.0-cp37-cp37m-manylinux2014_x86_64.whlPython library for Apache Arrow
Library home page: https://files.pythonhosted.org/packages/2e/8d/c002e27767595f22aa09ed0d364327922f673d12b36526c967a2bf6b2ed7/pyarrow-2.0.0-cp37-cp37m-manylinux2014_x86_64.whl
Path to dependency file: /Day2/Creating DS ENV/requirements.txt
Path to vulnerable library: /Day2/Creating DS ENV/requirements.txt
Dependency Hierarchy: - :x: **pyarrow-2.0.0-cp37-cp37m-manylinux2014_x86_64.whl** (Vulnerable Library)
Found in HEAD commit: 5830f411b03412c02b023ec7b8edb5c1934d18b0
Found in base branch: main
### Vulnerability DetailsDeserialization 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: - Exploitability Metrics: - Attack Vector: Network - Attack Complexity: Low - Privileges Required: None - User Interaction: None - Scope: Unchanged - Impact Metrics: - Confidentiality Impact: High - Integrity Impact: High - Availability Impact: High
For more information on CVSS3 Scores, click here. ### Suggested FixType: Upgrade version
Origin: https://lists.apache.org/thread/yhy7tdfjf9hrl9vfrtzo8p2cyjq87v7n
Release Date: 2023-11-09
Fix Resolution: 14.0.1
Step up your Open Source Security Game with Mend [here](https://www.whitesourcesoftware.com/full_solution_bolt_github)