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CVE-2016-9957

7.8 · HIGH
Published Apr 12, 2017 opensuse CWE-119 EPSS 1.93% (79th pctl)

Overview

CVE-2016-9957 is a high-severity vulnerability affecting opensuse leap. It was published on April 12, 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. No authentication or special privileges are required for exploitation.

Technical Description

Stack-based buffer overflow in game-music-emu before 0.6.1.

Remediation

Check the references section for vendor advisories and patches from opensuse. Update leap 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
game-music-emu_project game-music-emu 0 Affected

Frequently Asked Questions

What is CVE-2016-9957?

CVE-2016-9957 is a high-severity vulnerability affecting opensuse leap. It was published on April 12, 2017 and has a CVSS 3.0 base score of 7.8 (HIGH).

How severe is CVE-2016-9957?

This vulnerability has a CVSS 3.0 base score of 7.8, rated HIGH. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2016-9957?

Check the references section for vendor advisories and patches from opensuse. Update leap 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-2016-9957?

CyberStrike's AI-powered security agents can automatically detect CVE-2016-9957 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.