CVE-2026-41472 (GCVE-0-2026-41472)
Vulnerability from cvelistv5 – Published: 2026-04-24 20:40 – Updated: 2026-08-11 17:35
VLAI
EPSS
VEX
Title
CyberPanel < 2.4.5 Stored XSS via AI Scanner Dashboard
Summary
CyberPanel versions prior to 2.4.5 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 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.
Severity
SSVC
Exploitation: poc
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-04-27 13:37 UTC
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://itsrez.re/post/cyberpanel-rce | technical-descriptionexploit |
| https://github.com/usmannasir/cyberpanel/commit/8… | patch |
| https://www.vulncheck.com/advisories/cyberpanel-s… | third-party-advisory |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| usmannasir | cyberpanel |
Affected:
0 , < 2.4.5
(semver)
Unaffected: 8eb29181cb137baa4adb4bba5dce60f601d55a5f (git) cpe:2.3:a:cyberpanel:cyberpanel:*:*:*:*:*:*:*:* |
Date Public
2026-01-18 00:00
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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Vulnerability timeline
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How durations are calculated
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.