Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2017-16931

9.8 · CRITICAL
Published Nov 23, 2017 xmlsoft CWE-119 EPSS 4.28% (90th pctl)

Overview

CVE-2017-16931 is a critical-severity vulnerability affecting xmlsoft libxml2. It was published on November 23, 2017 and has a CVSS 3.0 base score of 9.8 (CRITICAL).

This vulnerability has a CVSS 3.0 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

parser.c in libxml2 before 2.9.5 mishandles parameter-entity references because the NEXTL macro calls the xmlParserHandlePEReference function in the case of a '%' character in a DTD name.

Remediation

Check the references section for vendor advisories and patches from xmlsoft. Update libxml2 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
xmlsoft libxml2 0 Affected

Frequently Asked Questions

What is CVE-2017-16931?

CVE-2017-16931 is a critical-severity vulnerability affecting xmlsoft libxml2. It was published on November 23, 2017 and has a CVSS 3.0 base score of 9.8 (CRITICAL).

How severe is CVE-2017-16931?

This vulnerability has a CVSS 3.0 base score of 9.8, rated CRITICAL. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2017-16931?

Check the references section for vendor advisories and patches from xmlsoft. Update libxml2 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-2017-16931?

CyberStrike's AI-powered security agents can automatically detect CVE-2017-16931 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.