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CVE-2023-47248: Critical Vulnerability in Apache PyArrow

A critical deserialization vulnerability in Apache PyArrow versions 0.14.0 to 14.0.0 permits arbitrary code execution when processing untrusted data. Immediate patching is advised.

CRITICALPublic ExploitCVSS 9.8 · Published November 9, 2023

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CVE-2023-47248 is a critical vulnerability affecting Apache PyArrow versions 0.14.0 to 14.0.0. This vulnerability allows deserialization of untrusted data in IPC and Parquet readers, enabling arbitrary code execution. Applications using PyArrow are particularly vulnerable if they process Arrow IPC, Feather, or Parquet data from untrusted sources, such as user-supplied input files. Given the severity level of this vulnerability, the risk to organizations includes potential unauthorized access, data manipulation, and service disruption.

The CVSS score for this vulnerability is 9.8, indicating a critical severity level. This score highlights the ease of exploitation due to low attack complexity and the high impact on confidentiality, integrity, and availability. Organizations should prioritize patching immediately to mitigate the associated risks.

Currently, this vulnerability is not listed in the Known Exploited Vulnerabilities (KEV) catalog, but its exploitability status indicates that known exploits exist. Therefore, organizations must schedule remediation promptly to protect their systems.

Users of PyArrow are recommended to upgrade to version 14.0.1 or later. If upgrading is not feasible, Apache provides a separate package, 'pyarrow-hotfix', to disable the vulnerability on older versions. Instructions for utilizing this package can be found on the official PyPI page.

Organizations using vulnerable versions of PyArrow should evaluate their exposure and take swift action to remediate this critical issue.

Vulnerability Details

The vulnerability involves deserialization of untrusted data in IPC and Parquet readers of PyArrow. The official description states that it allows arbitrary code execution when processing data from untrusted sources. The affected versions span from 0.14.0 up to 14.0.0.

The vulnerability is classified under CWE-502, which pertains to deserialization of untrusted data. Organizations utilizing versions of PyArrow that fall within the vulnerable range should take immediate action to mitigate potential risks.

Technical Analysis

The root cause of CVE-2023-47248 lies in the handling of untrusted data during deserialization processes within PyArrow. The vulnerability allows attackers to execute arbitrary code by exploiting the deserialization mechanism when processing Arrow IPC, Feather, or Parquet data.

The attack vector is network-based, which means that an attacker could exploit this vulnerability remotely without requiring physical access to the vulnerable system. The attack complexity is low, as it does not require any specialized conditions or knowledge to successfully exploit the vulnerability.

No privileges are required for an attacker to exploit this vulnerability, and user interaction is not needed, further increasing the threat level. The impact on confidentiality, integrity, and availability is categorized as high, indicating severe consequences for organizations that fail to address this vulnerability.

Risk & Impact Analysis

The real-world risk posed by CVE-2023-47248 is substantial. Organizations that handle untrusted data through PyArrow in their applications face severe threats, including potential system compromise and unauthorized data access. The blast radius for this vulnerability is considerable, as it may affect any application that utilizes PyArrow to process external data.

Given the critical nature of this vulnerability and its high CVSS score, organizations must assess the urgency of their remediation efforts. The exploitability status indicates that known exploits exist, making timely patching essential to safeguard against potential attacks.

Organizations should prioritize patching immediately. This is a critical security issue that requires immediate attention to mitigate risks effectively.

Exploitation Status

Signal

Status

Known Exploit

Yes

Public PoC

Yes

Actively Exploited

No

Ransomware Use

No

Affected Versions

The versions of PyArrow affected by this vulnerability are from 0.14.0 to 14.0.0. Organizations using these versions should upgrade to 14.0.1 or later to mitigate the risk.

Mitigation & Remediation

Organizations should upgrade to PyArrow version 14.0.1 or later to mitigate this vulnerability. If upgrading is not possible, Apache provides a separate package, 'pyarrow-hotfix', which disables the vulnerability on older versions. Further information on patching can be found on the package's official page.

For ongoing security, organizations may consider implementing continuous security testing to ensure that all components of their applications remain secure against known vulnerabilities.

Detection Guidance

To detect potential exploitation of this vulnerability, organizations should monitor logs for indications of unexpected deserialization errors or anomalies in data processing. Behavioral anomalies may also indicate attempts to leverage this vulnerability.

AppSecure Threat Intelligence Insight

The long-term significance of CVE-2023-47248 emphasizes the importance of secure coding practices, especially in handling untrusted data. This vulnerability serves as a reminder for organizations to regularly assess their dependencies and ensure they are not exposing themselves to unnecessary risks. Security teams should prioritize vulnerabilities based on their potential impact and exploitability.

For enhanced security posture, organizations may benefit from integrating penetration testing into their development lifecycle. By doing so, they can identify and remediate vulnerabilities early, ultimately reducing their exposure to threats.

Organizations should also consider adopting a vulnerability management program, which can help in tracking and addressing vulnerabilities in a timely manner. For further guidance on establishing such programs, refer to the comprehensive resources available.

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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