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CVE-2016-7092

8.2 · HIGH
Published Sep 21, 2016 xen CWE-264 EPSS 0.40% (33th pctl)

Overview

CVE-2016-7092 is a high-severity vulnerability affecting xen xen. It was published on September 21, 2016 and has a CVSS 3.0 base score of 8.2 (HIGH).

This vulnerability has a CVSS 3.0 base score of 8.2, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

The get_page_from_l3e function in arch/x86/mm.c in Xen allows local 32-bit PV guest OS administrators to gain host OS privileges via vectors related to L3 recursive pagetables.

Remediation

Check the references section for vendor advisories and patches from xen. Update xen 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-2016-7092?

CVE-2016-7092 is a high-severity vulnerability affecting xen xen. It was published on September 21, 2016 and has a CVSS 3.0 base score of 8.2 (HIGH).

How severe is CVE-2016-7092?

This vulnerability has a CVSS 3.0 base score of 8.2, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

How do I fix or remediate CVE-2016-7092?

Check the references section for vendor advisories and patches from xen. Update xen 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-2016-7092?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-7092 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.