CVE-2026-47348
Overview
CVE-2026-47348 is a known-severity vulnerability. It was published on June 9, 2026.
Technical Description
Editors with access to create or modify page content were able to include HTML markup in page titles that were stored in the search index without sanitization. When displayed in frontend search results via the Indexed Search plugin, these titles were rendered without proper output encoding, resulting in a Cross-Site Scripting vulnerability. This issue affects TYPO3 CMS versions 13.0.0-13.4.30 and 14.0.0-14.3.2.
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-2026-47348?
CVE-2026-47348 is a known-severity vulnerability. It was published on June 9, 2026.
How severe is CVE-2026-47348?
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-2026-47348?
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-2026-47348?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-47348 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.
How CyberStrike Helps
AI agents map your attack surface to find vulnerabilities like this one.
Automated penetration testing that runs continuously, not just quarterly.
AI-driven PR review catches vulnerable dependencies before they ship.
Browser-based exploitation validates findings with real proof-of-concept.