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CVE-2025-71264

3.7 · LOW
Published Mar 16, 2026 mumble CWE-125

Overview

CVE-2025-71264 is a low-severity vulnerability affecting mumble mumble. It was published on March 16, 2026 and has a CVSS 3.1 base score of 3.7 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.7, rated LOW. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical Description

Mumble before 1.6.870 is prone to an out-of-bounds array access, which may result in denial of service (client crash).

Remediation

Check the references section for vendor advisories and patches from mumble. Update mumble 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
mumble mumble >= 0, < 1.6.870 Affected

Frequently Asked Questions

What is CVE-2025-71264?

CVE-2025-71264 is a low-severity vulnerability affecting mumble mumble. It was published on March 16, 2026 and has a CVSS 3.1 base score of 3.7 (LOW).

How severe is CVE-2025-71264?

This vulnerability has a CVSS 3.1 base score of 3.7, rated LOW. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2025-71264?

Check the references section for vendor advisories and patches from mumble. Update mumble 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-2025-71264?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-71264 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.