PYSEC-2017-147

    Dashboard / Vulnerabilities / PYSEC-2017-147

    PYSEC-2017-147

    Published: 13 Sept 2017Last Modified: 25 Nov 2024

    Summary:

    Details: In Apache Spark 1.6.0 until 2.1.1, the launcher API performs unsafe deserialization of data received by its socket. This makes applications launched programmatically using the launcher API potentially vulnerable to arbitrary code execution by an attacker with access to any user account on the local machine. It does not affect apps run by spark-submit or spark-shell. The attacker would be able to execute code as the user that ran the Spark application. Users are encouraged to update to version 2.2.0 or later.

    References: https://mail-archives.apache.org/mod_mbox/spark-dev/201709.mbox/%3CCAEccTyy-1yYuhdNgkBUg0sr9NeaZSrBKkBePdTNZbxXZNTAR-g%40mail.gmail.com%3E, http://www.securityfocus.com/bid/100823

    Affected packages

    Package

    Name: pyspark

    Purl: pkg:pypi/pyspark

    Affected ranges

    Type: ECOSYSTEM

    Events:

    Introduced- 0
    Fixed -2.1.2

    Affected versions

    2.1.1

    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