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CVE-2016-8237

8.1 · HIGH
Published Apr 10, 2017 lenovo CWE-264 EPSS 3.34% (88th pctl)

Overview

CVE-2016-8237 is a high-severity vulnerability affecting lenovo updates. It was published on April 10, 2017 and has a CVSS 3.0 base score of 8.1 (HIGH).

This vulnerability has a CVSS 3.0 base score of 8.1, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

Remote code execution in Lenovo Updates (not Lenovo System Update) allows man-in-the-middle attackers to execute arbitrary code.

Remediation

Check the references section for vendor advisories and patches from lenovo. Update updates 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-2016-8237?

CVE-2016-8237 is a high-severity vulnerability affecting lenovo updates. It was published on April 10, 2017 and has a CVSS 3.0 base score of 8.1 (HIGH).

How severe is CVE-2016-8237?

This vulnerability has a CVSS 3.0 base score of 8.1, 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-2016-8237?

Check the references section for vendor advisories and patches from lenovo. Update updates 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-2016-8237?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-8237 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.