CVE-2026-15489 RafyMrX CVE debrief

Who should care

Users of RafyMrX TOKO-ONLINE-ROTI should review their installations for potential sql injection vulnerabilities. This includes reviewing the code for similar vulnerabilities, implementing input validation and sanitization for user input, and monitoring for potential exploitation attempts. Security teams and vulnerability management teams should also be aware of this vulnerability and assess their own exposure.

Technical summary

A vulnerability was identified in RafyMrX TOKO-ONLINE-ROTI up to ddfe1cd587be0a0b5135d8b6e85cce2ec3aece99. Affected by this vulnerability is an unknown functionality of the file proses/login.php. The manipulation of the argument Username leads to sql injection. Remote exploitation of the attack is possible. The exploit is publicly available and might be used. This product follows a rolling release approach for continuous delivery, so version details for affected or updated releases are not provided.

Defensive priority

Medium priority given the CVSS score of 5.5 and the availability of a public exploit.

Recommended defensive actions

• Review and update RafyMrX TOKO-ONLINE-ROTI installations to prevent sql injection attacks
• Implement input validation and sanitization for user input
• Monitor for potential exploitation attempts
• Confirm whether affected product deployments exist in managed environments and assign an owner for follow-up
• Review compensating controls for exposed systems while remediation is scheduled and verified
• Check relevant monitoring, detection, and logs for exposed assets that need extra review
• Track exceptions, retest remediated assets, and close the item only after evidence is documented

Evidence notes

The CVE record was published on 2026-07-12T09:16:39.913Z and has not been modified since then. The NVD entry is currently Received. Evidence is limited to public sources and may not reflect the full scope of affected systems or potential impact. Defenders should verify the vulnerability details with official sources and assess their own exposure.

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.