PatchSiren

PatchSiren cyber security CVE debrief

CVE-2026-41472 usmannasir CVE debrief

CVE-2026-41472 is a stored cross-site scripting vulnerability in CyberPanel versions prior to 2.4.4. The vulnerability exists in the AI Scanner dashboard and is caused by the POST /api/ai-scanner/callback endpoint lacking authentication, allowing unauthenticated attackers to inject malicious JavaScript by overwriting the findings_json field of ScanHistory records. This vulnerability can lead to remote code execution on the server when an administrator visits the AI Scanner dashboard. The CVE record was published on 2026-04-24T21:16:18.967Z and has not been modified since then. The NVD entry is currently Analyzed.

Vendor
usmannasir
Product
cyberpanel
CVSS
MEDIUM 5.3
CISA KEV
Not listed in stored evidence
Original CVE published
2026-04-24
Original CVE updated
2026-08-11
Advisory published
2026-04-24
Advisory updated
2026-08-11

Who should care

Administrators and users of CyberPanel versions prior to 2.4.4 should be aware of this vulnerability and take necessary actions to mitigate it. This includes reviewing compensating controls for exposed systems while remediation is scheduled and verified, and checking relevant monitoring, detection, and logs for exposed assets that need extra review. Additionally, they should confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.

Technical summary

The vulnerability exists in the AI Scanner dashboard of CyberPanel versions prior to 2.4.4. The POST /api/ai-scanner/callback endpoint lacks authentication, allowing unauthenticated attackers to inject malicious JavaScript by overwriting the findings_json field of ScanHistory records. This can lead to remote code execution on the server when an administrator visits the AI Scanner dashboard. The CVE record was published on 2026-04-24T21:16:18.967Z and has not been modified since then. The NVD entry is currently Analyzed. To verify the vulnerability, defenders should review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance.

Defensive priority

Medium-High, based on the CVSS score of 5.3 and the potential for remote code execution on the server when an administrator visits the AI Scanner dashboard. The vulnerability allows unauthenticated attackers to inject malicious JavaScript, which can lead to severe consequences if not mitigated properly. Therefore, it is essential to prioritize defensive measures, such as updating CyberPanel to version 2.4.4 or later, restricting access to the AI Scanner dashboard, and monitoring for suspicious activity on the server. Additionally, administrators and users of CyberPanel versions prior to 2.4.4 should be aware of this vulnerability and take necessary actions to mitigate it, including reviewing compensating controls for exposed systems while remediation is scheduled and verified, and checking relevant monitoring, detection, and logs for exposed assets that need extra review. To verify the vulnerability, defenders should review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance, and track exceptions, retest remediated assets, and close the item only after evidence is documented. This vulnerability affects CyberPanel versions prior to 2.4.4, and the AI Scanner dashboard is the primary point of exploitation. The source confidence is high, and the vulnerability is classified as a stored cross-site scripting vulnerability. The likely operational impact is high, and the review context is critical. To address this vulnerability, it is essential to prioritize defensive measures and take necessary actions to mitigate the vulnerability and prevent potential attacks. The CVE record and NVD entry provide critical information about the vulnerability, and defenders should review this information to understand the vulnerability and its potential impact. The vulnerability can be mitigated by updating CyberPanel to version 2.4.4 or later, restricting access to the AI Scanner dashboard, and monitoring for suspicious activity on the server. Additionally, defenders should review compensating controls for exposed systems while remediation is scheduled and verified, and check relevant monitoring, detection, and logs for exposed assets.

Recommended defensive actions

  • Update CyberPanel to version 2.4.4 or later
  • Restrict access to the AI Scanner dashboard
  • Monitor for suspicious activity on the server
  • Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up.
  • Review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance.
  • Plan vendor-supported updates or mitigations through normal change control where exposure is confirmed.
  • Check relevant monitoring, detection, and logs for exposed assets that need extra review.

Evidence notes

The CVE record was published on 2026-04-24T21:16:18.967Z and was last modified on 2026-07-14T21:16:51.477Z. The NVD entry is currently Analyzed. This information is based on the NVD entry and the CVE record. The vulnerability exists in CyberPanel versions prior to 2.4.4, and it is a stored cross-site scripting vulnerability in the AI Scanner dashboard. The POST /api/ai-scanner/callback endpoint lacks authentication, allowing unauthenticated attackers to inject malicious JavaScript by overwriting the findings_json field of ScanHistory records.

Sources and references

Verified primary and authoritative sources

  • CVE-2026-41472 CVE Program record

    Publisher, destination, and source semantics verified

    URL: https://www.cve.org/CVERecord?id=CVE-2026-41472

    CVE Program - Official CVE Program record with source-provided CVE metadata.

  • CVE-2026-41472 NVD vulnerability detail

    Publisher, destination, and source semantics verified

    URL: https://nvd.nist.gov/vuln/detail/CVE-2026-41472

    NIST National Vulnerability Database - Official NIST NVD detail page and source-specific vulnerability assessment.

Supplemental references

Methodology and review provenance

AI-assisted synthesis based on stored public vulnerability evidence. System validation, approval state, and publication status do not by themselves establish human review of this revision. PatchSiren helps prioritize defensive review and does not prove exposure or remediation on any system.