PYSEC-2023-156

    Dashboard / Vulnerabilities / PYSEC-2023-156

    PYSEC-2023-156

    Published: 28 Aug 2023Last Modified: 10 Jun 2026

    Summary:

    Details: Deserialization of Untrusted Data, Inclusion of Functionality from Untrusted Control Sphere vulnerability in Apache Software Foundation Apache Airflow Spark Provider. When the Apache Spark provider is installed on an Airflow deployment, an Airflow user that is authorized to configure Spark hooks can effectively run arbitrary code on the Airflow node by pointing it at a malicious Spark server. Prior to version 4.1.3, this was not called out in the documentation explicitly, so it is possible that administrators provided authorizations to configure Spark hooks without taking this into account. We recommend administrators to review their configurations to make sure the authorization to configure Spark hooks is only provided to fully trusted users. To view the warning in the docs please visit  https://airflow.apache.org/docs/apache-airflow-providers-apache-spark/4.1.3/connections/spark.html

    Affected packages

    Package

    Name: apache-airflow-providers-apache-spark

    Purl: pkg:pypi/apache-airflow-providers-apache-spark

    Affected ranges

    Type: ECOSYSTEM

    Events:

    Introduced- 0
    Fixed -4.1.3

    Affected versions

    1.0.0
    1.0.0b1
    1.0.0b2
    1.0.0rc1
    1.0.1
    1.0.1rc1
    1.0.2
    1.0.2rc1
    1.0.3
    1.0.3rc1

    Common Vulnerability Scoring System

    Attack Vector
    Network
    Adjacent
    Local
    Physical
    Privileges Required
    None
    Low
    High
    User Interaction
    None
    Required
    Scope
    Unchanged
    Changed
    Confidentiality
    None
    Low
    High
    Integrity
    None
    Low
    High
    Availability
    None
    Low
    High
    PYSEC-2023-156 | CVE-DB