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CVE-2016-10223

5.4 · MEDIUM

An issue was discovered in BigTree CMS before 4.2.15.

Published Feb 14, 2017CWE-284EPSS 0.51%

Overview

CVE-2016-10223 is a medium-severity vulnerability. It was published on February 14, 2017 and has a CVSS 3.0 base score of 5.4 (MEDIUM).

This vulnerability has a CVSS 3.0 base score of 5.4, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.

Technical description

An issue was discovered in BigTree CMS before 4.2.15. The vulnerability exists due to insufficient filtration of user-supplied data in the "id" HTTP GET parameter passed to the "core/admin/adjax/dashboard/check-module-integrity.php" URL. An attacker could execute arbitrary HTML and script code in a browser in the context of the vulnerable website.

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-2016-10223?

CVE-2016-10223 is a medium-severity vulnerability. It was published on February 14, 2017 and has a CVSS 3.0 base score of 5.4 (MEDIUM).

How severe is CVE-2016-10223?

This vulnerability has a CVSS 3.0 base score of 5.4, 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-2016-10223?

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-2016-10223?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2016-10223 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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