CVE-2026-15803
Overview
CVE-2026-15803 is a known-severity vulnerability. It was published on August 12, 2026.
Technical Description
In Eclipse RDF4J, several XML parser entry points do not fully restrict XML External Entity (XXE) processing when parsing untrusted XML-based RDF data or query results, permitting DOCTYPE declarations, external entity references, and external DTD loading. This is due to an incomplete fix for CVE-2018-1000644: the earlier fix did not cover all parser entry points. The issue is resolved in RDF4J 5.3.2, which rejects or disables DOCTYPE declarations, external entities, and external DTD loading by default.
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-2026-15803?
CVE-2026-15803 is a known-severity vulnerability. It was published on August 12, 2026.
How severe is CVE-2026-15803?
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-2026-15803?
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-2026-15803?
CyberStrike's AI-powered security agents can automatically detect CVE-2026-15803 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.