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CVE-2020-17511 Explained : Impact and Mitigation

Learn about CVE-2020-17511 where Apache Airflow before 1.10.13 logs passwords in plain text, exposing sensitive data. Find mitigation steps and preventive measures here.

Apache Airflow prior to version 1.10.13 logs passwords in plain text, posing a security risk.

Understanding CVE-2020-17511

In this CVE, the Apache Airflow platform exposes sensitive information due to a logging vulnerability.

What is CVE-2020-17511?

The vulnerability in Apache Airflow versions before 1.10.13 allows passwords to be logged in plain text when creating users or connections.

The Impact of CVE-2020-17511

The exposure of passwords in plain text can lead to unauthorized access and compromise of sensitive data, posing a significant security risk.

Technical Details of CVE-2020-17511

Apache Airflow's vulnerability stems from the insecure logging of passwords, making them easily accessible.

Vulnerability Description

Passwords created using the airflow CLI or when setting up connections are stored in plain text in the Log table of Airflow Metadatase.

Affected Systems and Versions

        Product: Apache Airflow
        Vendor: Apache Software Foundation
        Versions Affected: Apache Airflow custom version less than 1.10.13

Exploitation Mechanism

Attackers can exploit this vulnerability by accessing the Log table in Airflow Metadatase to retrieve plain text passwords.

Mitigation and Prevention

To address CVE-2020-17511, immediate actions and long-term security practices are crucial.

Immediate Steps to Take

        Upgrade Apache Airflow to version 1.10.13 or higher to prevent password logging.
        Avoid creating users or connections with sensitive information until the system is patched.

Long-Term Security Practices

        Implement strong password policies and encryption mechanisms.
        Regularly monitor logs and audit trails for any unauthorized access attempts.

Patching and Updates

        Apply security patches and updates provided by Apache Software Foundation to mitigate the vulnerability effectively.

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