CVE-2026-11321: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in pluginsGLPI datainjection
The DataInjection plugin for GLPI 2.15.6 (GLPI 11 builds) concatenates user-supplied CSV field values directly into SQL queries during CSV import, without parameterization or escaping, resulting in authenticated SQL injection. An authenticated user with access to the Data injection feature can embed SQL expressions such as SLEEP() in a mapped field (for example Serial Number) to manipulate the generated query and extract database information via time-based blind injection.
AI Analysis
Technical Summary
The DataInjection plugin for GLPI 2.15.6 (GLPI 11 builds) suffers from an SQL injection vulnerability due to improper neutralization of special elements in SQL commands. Specifically, user-supplied CSV field values are concatenated directly into SQL queries without parameterization or escaping during CSV import. An authenticated user with access to the Data injection feature can embed SQL expressions in mapped fields (e.g., Serial Number) to manipulate the query and perform time-based blind SQL injection, potentially extracting sensitive database information.
Potential Impact
An authenticated user with access to the Data injection feature can exploit this vulnerability to perform SQL injection attacks. This can lead to unauthorized extraction of sensitive database information via time-based blind injection techniques. The vulnerability impacts the confidentiality and integrity of the database managed by the affected GLPI plugin.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict access to the Data injection feature to trusted users only and avoid importing untrusted CSV data. Monitor vendor channels for updates regarding an official patch or mitigation.
CVE-2026-11321: Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection') in pluginsGLPI datainjection
Description
The DataInjection plugin for GLPI 2.15.6 (GLPI 11 builds) concatenates user-supplied CSV field values directly into SQL queries during CSV import, without parameterization or escaping, resulting in authenticated SQL injection. An authenticated user with access to the Data injection feature can embed SQL expressions such as SLEEP() in a mapped field (for example Serial Number) to manipulate the generated query and extract database information via time-based blind injection.
CVSS v4.0
Score 7.1high
Affected software
pkg:github/pluginsglpi/datainjectionRun on your own infrastructure? Check whether these packages are installed with threat-finder — our free open-source scanner.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The DataInjection plugin for GLPI 2.15.6 (GLPI 11 builds) suffers from an SQL injection vulnerability due to improper neutralization of special elements in SQL commands. Specifically, user-supplied CSV field values are concatenated directly into SQL queries without parameterization or escaping during CSV import. An authenticated user with access to the Data injection feature can embed SQL expressions in mapped fields (e.g., Serial Number) to manipulate the query and perform time-based blind SQL injection, potentially extracting sensitive database information.
Potential Impact
An authenticated user with access to the Data injection feature can exploit this vulnerability to perform SQL injection attacks. This can lead to unauthorized extraction of sensitive database information via time-based blind injection techniques. The vulnerability impacts the confidentiality and integrity of the database managed by the affected GLPI plugin.
Mitigation Recommendations
Patch status is not yet confirmed — check the vendor advisory for current remediation guidance. Until a fix is available, restrict access to the Data injection feature to trusted users only and avoid importing untrusted CSV data. Monitor vendor channels for updates regarding an official patch or mitigation.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulnCheck
- Date Reserved
- 2026-06-04T20:57:26.934Z
- Cvss Version
- 4.0
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 6a5148f068715ace43137e3a
Added to database: 07/10/2026, 19:33:04 UTC
Last enriched: 08/02/2026, 20:24:05 UTC
Last updated: 08/24/2026, 10:52:07 UTC
Views: 125
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