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apache-airflow-task-sdk@1.3.0

Python Task SDK for Apache Airflow DAG Authors

  • latest version

    1.3.1

  • latest non vulnerable version

    1.3.1

  • first published

    1 years ago

  • latest version published

    9 days ago

  • licenses detected

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    Direct Vulnerabilities

    Known vulnerabilities in the apache-airflow-task-sdk package. This does not include vulnerabilities belonging to this package’s dependencies.

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    VulnerabilityVulnerable Version
    • H
    Cleartext Storage of Sensitive Information

    apache-airflow-task-sdk is a The Apache Airflow Task SDK includes interfaces for Dag authors and Task execution logic for Python.

    Affected versions of this package are vulnerable to Cleartext Storage of Sensitive Information in the Variable deserialization. An attacker can access sensitive information by viewing task logs or the Rendered Templates UI when a JSON value is a list, as these values are not masked and appear in cleartext. Any authenticated user able to read these logs or templates can recover the values without requiring special configuration.

    How to fix Cleartext Storage of Sensitive Information?

    Upgrade apache-airflow-task-sdk to version 1.3.1 or higher.

    [,1.3.1)
    • H
    Cleartext Storage of Sensitive Information

    apache-airflow-task-sdk is a The Apache Airflow Task SDK includes interfaces for Dag authors and Task execution logic for Python.

    Affected versions of this package are vulnerable to Cleartext Storage of Sensitive Information in the Rendered Templates UI when the var.json fails to mask variable values that are dictionaries. An attacker can obtain sensitive information by accessing the Rendered Templates view for a task that references such variables.

    How to fix Cleartext Storage of Sensitive Information?

    Upgrade apache-airflow-task-sdk to version 1.3.1 or higher.

    [,1.3.1)
    • H
    Deserialization of Untrusted Data

    apache-airflow-task-sdk is a The Apache Airflow Task SDK includes interfaces for Dag authors and Task execution logic for Python.

    Affected versions of this package are vulnerable to Deserialization of Untrusted Data in the deserialization of the Callback object, which reconstructs the object by re-running its constructor and importing the module specified by the stored callback path. An attacker can execute arbitrary code within the scheduler process by supplying a crafted value to the next_kwargs parameter through the task execution API.

    Note: This is only exploitable if the attacker has DAG author privileges, as they must control the next_kwargs parameter.

    How to fix Deserialization of Untrusted Data?

    Upgrade apache-airflow-task-sdk to version 1.3.1 or higher.

    [1.3.0,1.3.1)
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