CVE-2026-6210
A type confusion vulnerability in Qt SVG allows an attacker to cause an application crash via a crafted SVG image.
Overview
CVE-2026-6210 is a known-severity vulnerability. It was published on May 6, 2026.
Technical description
A type confusion vulnerability in Qt SVG allows an attacker to cause an application crash via a crafted SVG image.
When processing SVG marker references, the renderer retrieves a node by its id attribute and casts it to QSvgMarker* without verifying the node type. A non-marker element (such as a <line> element) that references itself as a marker triggers an out-of-bounds heap read due to the object size difference between QSvgLine and QSvgMarker,
followed by an endless recursion that bypasses the marker recursion
guard through incorrect virtual dispatch. The result is an application
crash (denial of service).
This issue affects Qt SVG:
from 6.7.0 before 6.8.8, from 6.9.0 before 6.11.1.
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.
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Frequently asked questions
What is CVE-2026-6210?
CVE-2026-6210 is a known-severity vulnerability. It was published on May 6, 2026.
How severe is CVE-2026-6210?
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-2026-6210?
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-2026-6210?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-6210 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.