CVE-2023-47248

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

Severity Score

9.8

*CVSS v3.1

Exploit Likelihood

*EPSS

Affected Versions

*CPE

Public Exploits

*Multiple Sources

Exploited in Wild

*KEV

Decision

*SSVC

Descriptions

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.

La deserialización de datos que no son de confianza en lectores IPC y Parquet en las versiones de PyArrow 0.14.0 a 14.0.0 permite la ejecución de código arbitrario. Una aplicación es vulnerable si lee datos de Arrow IPC, Feather o Parquet de fuentes que no son de confianza (por ejemplo, archivos de entrada proporcionados por el usuario). Esta vulnerabilidad solo afecta a PyArrow, no a otras implementaciones o enlaces de Apache Arrow. Se recomienda que los usuarios de PyArrow actualicen a 14.0.1. De manera similar, se recomienda que las librerías posteriores actualicen sus requisitos de dependencia a PyArrow 14.0.1 o posterior. Los paquetes PyPI ya están disponibles y esperamos que los paquetes conda-forge lo estén pronto. Si no es posible actualizar, proporcionamos un paquete separado `pyarrow-hotfix` que desactiva la vulnerabilidad en versiones anteriores de PyArrow. Consulte https://pypi.org/project/pyarrow-hotfix/ para obtener instrucciones.

*Credits: Li Jiakun - laoquanshi

Attack Vector

Network

Attack Complexity

Low

Privileges Required

None

User Interaction

None

Scope

Unchanged

Confidentiality

High

Integrity

High

Availability

High

Attack Vector

Network

Attack Complexity

Low

Authentication

None

Confidentiality

Complete

Integrity

Complete

Availability

Complete

* Common Vulnerability Scoring System

SSVC

Decision:-

Exploitation

Automatable

Tech. Impact

* Organization's Worst-case Scenario

Timeline

2023-11-04 CVE Reserved
2023-11-09 CVE Published
2024-12-17 EPSS Updated
2025-02-13 CVE Updated
---------- Exploited in Wild
---------- KEV Due Date
---------- First Exploit

CWE

CWE-502: Deserialization of Untrusted Data

CAPEC

References (6)

URL	Tag	Source
https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/FR34AIPXVTMB3XPRU5ULV5HHWPMRE33X
https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/MAGWEAJDWO2ACYATUQCPXLSYY5C3L3XU
https://lists.fedoraproject.org/archives/list/package-announce@lists.fedoraproject.org/message/MWFYXLVBTBHNKYRXI572RFX7IJDDQGBL
https://pypi.org/project/pyarrow-hotfix	Mitigation

URL	Date	SRC

URL	Date	SRC
https://github.com/apache/arrow/commit/f14170976372436ec1d03a724d8d3f3925484ecf	2023-11-29

URL	Date	SRC
https://lists.apache.org/thread/yhy7tdfjf9hrl9vfrtzo8p2cyjq87v7n	2023-11-29

Affected Vendors, Products, and Versions

Vendor		Product				Version		Other		Status
Vendor	Product	Version	Other	Status	<-- -->	Vendor	Product	Version	Other	Status
Apache Search vendor "Apache"		Pyarrow Search vendor "Apache" for product "Pyarrow"				>= 0.14.0 <= 14.0.0 Search vendor "Apache" for product "Pyarrow" and version " >= 0.14.0 <= 14.0.0"		-		Affected