Is CVE-2023-46727 actively exploited?

No active exploitation of CVE-2023-46727 has been confirmed so far. Continue monitoring, as exploit status can change.

Can CVE-2023-46727 be exploited remotely?

Yes. CVE-2023-46727 is exploitable remotely over the network (CVSS attack vector: Network).

What is the CVSS score of CVE-2023-46727?

CVE-2023-46727 has a CVSS score of 9.8 (CRITICAL).

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CRITICAL

CVE-2023-46727

CWE-89Published: December 13, 2023· Updated: Jun 17, 2026

9.8

CVSS v3.1

Official Description

GLPI is a free asset and IT management software package. Starting in version 10.0.0 and prior to version 10.0.11, GLPI inventory endpoint can be used to drive a SQL injection attack. Version 10.0.11 contains a patch for the issue. As a workaround, disable native inventory.

NVD Source

Risk Analysis

GLPI is susceptible to SQL injection attacks through its inventory endpoint. This critical vulnerability allows for unauthorized database access and carries a 9.8 CVSS score.

No public exploit is currently known, and it is not in the KEV catalog. It is remotely exploitable.

Recommended Action

Upgrade to GLPI version 10.0.11 or later. As a temporary workaround, disable the native inventory feature.

Generated by the CTIWATCH analysis pipeline from this CVE's metadata (CVSS, EPSS, KEV status, exploit intelligence). Verify against vendor advisories before acting.

Technical Analysis

CVE-2023-46727 can be exploited remotely over the network without requiring physical or adjacent access, significantly expanding the attack surface for threat actors.

The vulnerability requires no privileges and no user interaction, making it a prime target for automated exploitation campaigns and worm-like propagation.

A successful exploit results in complete confidentiality breach (data exposure), full integrity compromise (data manipulation), availability disruption (denial of service), with a CVSS base score of 9.8.

From a weakness classification perspective (CWE-89): SQL injection vulnerabilities allow attackers to manipulate database queries, potentially exposing or modifying sensitive data.