CVE-2026-11321 pluginsGLPI CVE debrief

Who should care

GLPI users who have the DataInjection plugin installed, particularly those using version 2.15.6, should be aware of this vulnerability. System administrators and security teams responsible for GLPI instances with the DataInjection plugin should prioritize patching and monitoring.

Technical summary

The DataInjection plugin for GLPI 2.15.6 (GLPI 11 builds) is susceptible to authenticated SQL injection during CSV import. User-supplied CSV field values are directly concatenated into SQL queries without proper parameterization or escaping. This allows an authenticated user with access to the Data injection feature to inject SQL expressions, such as SLEEP(), into mapped fields (e.g., Serial Number) to manipulate the query and extract database information through time-based blind injection.

Defensive priority

High priority should be given to patching GLPI instances with the DataInjection plugin, especially those exposed to the internet or used by multiple users. Implement compensating controls, such as monitoring for suspicious database queries or anomalies in user behavior.

Recommended defensive actions

• Apply the patch from version 2.15.7 or later
• Restrict access to the Data injection feature to trusted users
• Monitor for suspicious database queries or anomalies in user behavior
• Perform regular security audits and vulnerability assessments
• 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 2026-07-10T20:16:45.453Z and has not been modified since then. The NVD entry is currently Received. Limited information is available about the affected scope and vendor remediation efforts.

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.