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CVE-2017-16022

6.1 · MEDIUM

Morris.js creates an svg graph, with labels that appear when hovering over a point.

Published Jun 4, 2018CWE-79EPSS 0.89%

Overview

CVE-2017-16022 is a medium-severity vulnerability. It was published on June 4, 2018 and has a CVSS 3.0 base score of 6.1 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 6.1, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

Morris.js creates an svg graph, with labels that appear when hovering over a point. The hovering label names are not escaped in versions 0.5.0 and earlier. If control over the labels is obtained, script can be injected. The script will run on the client side whenever that specific graph is loaded.

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-2017-16022?

CVE-2017-16022 is a medium-severity vulnerability. It was published on June 4, 2018 and has a CVSS 3.0 base score of 6.1 (MEDIUM).

How severe is CVE-2017-16022?

This vulnerability has a CVSS 3.0 base score of 6.1, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2017-16022?

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-2017-16022?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2017-16022 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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