CVE-2026-30463 Daylight Studio CVE debrief

Who should care

Users of FuelCMS v1.5.2, system administrators, security teams, and operators of affected deployments should be aware of this SQL injection vulnerability and take necessary precautions to secure their installations. This includes reviewing database activity for suspicious queries, implementing additional security measures such as WAF rules, and planning vendor-supported updates or mitigations through normal change control.

Technical summary

The CVE-2026-30463 vulnerability is a SQL injection issue in FuelCMS v1.5.2. It is located in the /controllers/Login.php component. The vulnerability has a CVSS score of 7.7 and a severity of HIGH. This SQL injection vulnerability allows attackers to execute arbitrary SQL code, potentially leading to data breaches or system compromise. Users should be cautious and take immediate action to secure their FuelCMS installations.

Defensive priority

High priority should be given to patching this vulnerability as it has a high CVSS score and is publicly known. Defenders should confirm whether affected product deployments exist in managed environments, review the supplied official advisory or CVE record to validate affected scope, severity, and vendor guidance, and plan vendor-supported updates or mitigations through normal change control.

Recommended defensive actions

• Apply the patch or update to a fixed version of FuelCMS
• Review and monitor database activity for suspicious queries
• Implement additional security measures such as WAF rules to detect and prevent SQL injection attacks

Evidence notes

The CVE record was published on 2026-03-26T19:17:00.183Z and last modified on 2026-07-05T17:17:29.580Z. The NVD entry is currently Modified. The evidence is limited, and further verification is needed to determine the full scope of the vulnerability. Defenders should verify the existence of affected systems, review database activity for suspicious queries, and implement additional security measures such as WAF rules to detect and prevent SQL injection attacks.

Sources and 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.