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CVE-2016-6252

7.8 · HIGH
Published Feb 17, 2017 shadow_project CWE-190 EPSS 0.41% (34th pctl)

Overview

CVE-2016-6252 is a high-severity vulnerability affecting shadow_project shadow. It was published on February 17, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. Some level of privileges is required for exploitation.

Technical Description

Integer overflow in shadow 4.2.1 allows local users to gain privileges via crafted input to newuidmap.

Remediation

Check the references section for vendor advisories and patches from shadow_project. Update shadow 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-2016-6252?

CVE-2016-6252 is a high-severity vulnerability affecting shadow_project shadow. It was published on February 17, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2016-6252?

This vulnerability has a CVSS 3.0 base score of 7.8, 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-2016-6252?

Check the references section for vendor advisories and patches from shadow_project. Update shadow 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-2016-6252?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-6252 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.