GHSA-Q93H-QC46-87RR
Vulnerability from github – Published: 2026-07-10 21:32 – Updated: 2026-07-10 21:32The 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.
{
"affected": [],
"aliases": [
"CVE-2026-11321"
],
"database_specific": {
"cwe_ids": [
"CWE-89"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-07-10T20:16:45Z",
"severity": "HIGH"
},
"details": "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.",
"id": "GHSA-q93h-qc46-87rr",
"modified": "2026-07-10T21:32:33Z",
"published": "2026-07-10T21:32:33Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/pluginsGLPI/datainjection/security/advisories/GHSA-57qv-j6r6-pcc4"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-11321"
},
{
"type": "WEB",
"url": "https://github.com/pluginsGLPI/datainjection"
},
{
"type": "WEB",
"url": "https://github.com/pluginsGLPI/datainjection/releases/tag/2.15.7"
},
{
"type": "WEB",
"url": "https://www.vulncheck.com/advisories/glpi-datainjection-plugin-authenticated-sql-injection-via-csv-import"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:H/UI:R/S:U/C:H/I:H/A:H",
"type": "CVSS_V3"
},
{
"score": "CVSS:4.0/AV:N/AC:L/AT:P/PR:H/UI:A/VC:H/VI:H/VA:H/SC:N/SI:N/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"type": "CVSS_V4"
}
]
}
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.
Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.