GHSA-fvxv-9xxr-h7wj

    Dashboard / Vulnerabilities / GHSA-fvxv-9xxr-h7wj

    GHSA-fvxv-9xxr-h7wj

    Published: 7 Feb 2019Last Modified: 4 Dec 2024

    Summary: Pyspark User Impersonation Vulnerability

    Details: When using PySpark , it's possible for a different local user to connect to the Spark application and impersonate the user running the Spark application. This affects versions 1.x, 2.0.x, 2.1.x, 2.2.0 to 2.2.2, and 2.3.0 to 2.3.1.

    References: https://nvd.nist.gov/vuln/detail/CVE-2018-11760, https://github.com/advisories/GHSA-fvxv-9xxr-h7wj, https://github.com/apache/spark, https://github.com/pypa/advisory-database/tree/main/vulns/pyspark/PYSEC-2019-169.yaml, https://lists.apache.org/thread.html/6d015e56b3a3da968f86e0b6acc69f17ecc16b499389e12d8255bf6e@%3Ccommits.spark.apache.org%3E, https://lists.apache.org/thread.html/a86ee93d07b6f61b82b61a28049aed311f5cc9420d26cc95f1a9de7b@%3Cuser.spark.apache.org%3E, https://web.archive.org/web/20200227091119/http://www.securityfocus.com/bid/106786, https://web.archive.org/web/20200925111106/https://issues.apache.org/jira/browse/SPARK-26802

    Affected packages

    Package

    Name: pyspark

    Purl: pkg:pypi/pyspark

    Affected ranges

    Type: ECOSYSTEM

    Events:

    Introduced- 2.3.0
    Fixed -2.3.2

    Affected versions

    2.3.0
    2.3.1

    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