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CVE-2025-59728

Published Oct 6, 2025 CWE-787 EPSS 0.17% (7th pctl)

Overview

CVE-2025-59728 is a known-severity vulnerability. It was published on October 6, 2025.

Technical Description

When calculating the content path in handling of MPEG-DASH manifests, there's an out-of-bounds NUL-byte write one byte past the end of the buffer.When we call xmlNodeGetContent below [0], it returns a buffer precisely allocated to match the string length, using strdup internally. If this buffer is not an empty string, it is assigned to root_url at [1].If the last (non-NUL) byte in this buffer is not '/' then we append '/' in-place at [2]. This will write two bytes into the buffer, starting at the last valid byte in the buffer, writing the NUL byte beyond the end of the allocated buffer.

We recommend upgrading to version 8.0 or beyond.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. 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.

Frequently Asked Questions

What is CVE-2025-59728?

CVE-2025-59728 is a known-severity vulnerability. It was published on October 6, 2025.

How severe is CVE-2025-59728?

CVSS score information is not yet available for this vulnerability. Check back as the CVE record is updated by NVD analysts.

How do I fix or remediate CVE-2025-59728?

Check the references section for vendor advisories, patches, and mitigation guidance. 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-2025-59728?

CyberStrike's AI-powered security agents can automatically detect CVE-2025-59728 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.