Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:N/A:NSummary
CVE-2023-36808 is a high-severity SQL Injection (CWE-89) vulnerability in Glpi-Project Glpi. Its CVSS base score is 8.6 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
GLPI, an open-source IT asset management application, contains a SQL injection vulnerability (CWE-89) affecting the Computer Virtual Machine form and native inventory request processing. The flaw is present in all versions from 0.80 through 10.0.7 and carries a CVSS 3.1 score of 8.6, reflecting network attackability without authentication or user interaction and a confidentiality impact that extends beyond the vulnerable component.
An unauthenticated remote attacker can submit crafted input through these entry points to execute arbitrary SQL queries against the backend database, potentially extracting sensitive data such as credentials or configuration details. Because the vulnerability is reachable via the inventory interface, any system that accepts GLPI inventory submissions is exposed.
The official GLPI 10.0.8 release and accompanying GitHub Security Advisory GHSA-vf5h-jh9q-2gjm state that the issue is resolved by applying that update; administrators who cannot upgrade immediately may mitigate exposure by disabling the native inventory feature. The associated EPSS scores have remained in the 0.15–0.19 range without a pronounced post-disclosure climb.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-40744
Vulnerability Data
GLPI is a free asset and IT management software package. Starting in version 0.80 and prior to version 10.0.8, Computer Virtual Machine form and GLPI inventory request can be used to perform a SQL injection attack. Version 10.0.8 has a…
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patch for this issue. As a workaround, one may disable native inventory.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V6.2.5
Likely Mitigating Controls AI
Per-CVE control mapping for this CVE has not run yet; the list below is derived from the weakness types (CWEs) cited in the NVD entry.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Secure SDLC practices directly target injection flaws during coding and review so largely prevent CWE-89 introduction, yet the single broad outcome leaves residual risk from incomplete neutralization techniques or missed edge cases.
Training raises developer awareness of SQLi risks and can reduce introduction likelihood (partial) but removes none of the actual coding flaw's risk by itself since technical neutralization is still required.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
The same secure-coding and static-analysis activities surface missing neutralization of SQL metacharacters before the system is accepted.
Early warnings and shared best-practice information help organizations apply the latest remediation techniques against SQL-injection vulnerabilities.
Threat-intelligence feeds that surface new SQL-injection campaigns enable rapid updates to query-construction defenses and detection signatures before exploitation occurs.
Secure-coding rules and security testing phases mandate the use of parameterized queries or equivalent escaping, preventing the construction of dynamic SQL statements from untrusted input.
Language-specific secure coding rules, peer review and SAST together prevent the construction of SQL statements from untrusted data without proper parameterization or escaping.