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CVE-2016-8383

8.8 · HIGH
Published Apr 24, 2018 marklogic CWE-119 EPSS 2.04% (80th pctl)

Overview

CVE-2016-8383 is a high-severity vulnerability affecting marklogic marklogic. It was published on April 24, 2018 and has a CVSS 3.1 base score of 8.8 (HIGH).

This vulnerability has a CVSS 3.1 base score of 8.8, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

An exploitable heap corruption vulnerability exists in the Doc_GetFontTable functionality of AntennaHouse DMC HTMLFilter. A specially crafted doc file can cause a heap corruption resulting in arbitrary code execution. An attacker can send/provide malicious doc file to trigger this vulnerability.

Remediation

Check the references section for vendor advisories and patches from marklogic. Update marklogic to the latest patched version. 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.

Affected Products

Vendor Product Versions Status

Frequently Asked Questions

What is CVE-2016-8383?

CVE-2016-8383 is a high-severity vulnerability affecting marklogic marklogic. It was published on April 24, 2018 and has a CVSS 3.1 base score of 8.8 (HIGH).

How severe is CVE-2016-8383?

This vulnerability has a CVSS 3.1 base score of 8.8, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2016-8383?

Check the references section for vendor advisories and patches from marklogic. Update marklogic to the latest patched version. 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-2016-8383?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-8383 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.