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CVE-2026-17072

3.3 · LOW
Published Jul 28, 2026 CWE-125 EPSS 0.12% (2th pctl)

Overview

CVE-2026-17072 is a low-severity vulnerability. It was published on July 28, 2026 and has a CVSS 3.1 base score of 3.3 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. It requires local or adjacent network access to exploit. No authentication or special privileges are required for exploitation.

Technical Description

A flaw was found in GStreamer's gst-plugins-good. A heap-based out-of-bounds read of 4 bytes can occur when parsing FLAC audio stream headers embedded in a Matroska or WebM container file. The vulnerability is triggered by a boundary check that does not account for the full size of the data being copied, allowing a small read past the end of the allocated buffer. An attacker could exploit this by crafting a malicious Matroska or WebM file and tricking a user into opening it, potentially leaking a small amount of adjacent heap memory.

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-2026-17072?

CVE-2026-17072 is a low-severity vulnerability. It was published on July 28, 2026 and has a CVSS 3.1 base score of 3.3 (LOW).

How severe is CVE-2026-17072?

This vulnerability has a CVSS 3.1 base score of 3.3, rated LOW. 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-2026-17072?

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-2026-17072?

CyberStrike's AI-powered security agents can automatically detect CVE-2026-17072 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.