CVE-2026-41472
Published: 24 April 2026
Summary
CVE-2026-41472 is a medium-severity Cross-site Scripting (CWE-79) vulnerability in Cyberpanel Cyberpanel. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 46.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Other Platforms; in the Other ATLAS/OWASP Terms risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-25630
Vulnerability details
CyberPanel versions prior to 2.4.4 contain a stored cross-site scripting vulnerability in the AI Scanner dashboard where the POST /api/ai-scanner/callback endpoint lacks authentication and allows unauthenticated attackers to inject malicious JavaScript by overwriting the findings_json field of ScanHistory records. Attackers…
more
can inject JavaScript that executes in an administrator's authenticated session when they visit the AI Scanner dashboard, allowing them to issue same-origin requests to plant cron jobs and achieve remote code execution on the server.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Stored XSS in public-facing CyberPanel endpoint directly enables T1190 exploitation; resulting admin-session abuse plants cron jobs for RCE (T1053.003).
Affected Assets
Mitigating Controls
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Penetration testing submits XSS payloads to web applications, detecting cross-site scripting flaws for subsequent remediation.
Validates web inputs to reject script-related content that could produce XSS.
Output validation against expected content can reject or sanitize script content in generated web pages, reducing XSS exploitability.