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CVE-2019-10217

6.5 · MEDIUM

A flaw was found in ansible 2.8.0 before 2.8.4.

Published Nov 25, 2019CWE-200EPSS 1.87%

Overview

CVE-2019-10217 is a medium-severity vulnerability. It was published on November 25, 2019 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

A flaw was found in ansible 2.8.0 before 2.8.4. Fields managing sensitive data should be set as such by no_log feature. Some of these fields in GCP modules are not set properly. service_account_contents() which is common class for all gcp modules is not setting no_log to True. Any sensitive data managed by that function would be leak as an output when running ansible playbooks.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently asked questions

What is CVE-2019-10217?

CVE-2019-10217 is a medium-severity vulnerability. It was published on November 25, 2019 and has a CVSS 3.1 base score of 6.5 (MEDIUM).

How severe is CVE-2019-10217?

This vulnerability has a CVSS 3.1 base score of 6.5, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2019-10217?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2019-10217?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2019-10217 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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