CVE-2023-41323
Published: 27 September 2023
Summary
CVE-2023-41323 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Glpi-Project Glpi. Its CVSS base score is 5.3 (Medium).
Operationally, ranked in the top 9.0% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
GLPI, an open-source IT asset management and service desk platform, contains an information disclosure vulnerability that permits enumeration of valid user login names. The flaw is tracked as CVE-2023-41323 and carries a CVSS 3.1 base score of 5.3, reflecting network attack vector, low complexity, and no required authentication or user interaction. It affects versions prior to 10.0.10 and stems from insufficient access controls on user-account lookup functionality.
An unauthenticated remote attacker can send crafted requests to the application and systematically discover existing usernames. Successful enumeration yields a list of valid accounts that can subsequently be targeted for further attacks such as credential stuffing or social engineering, resulting in limited confidentiality impact without affecting integrity or availability.
The project’s GitHub security advisory instructs administrators to upgrade immediately to version 10.0.10; no workarounds are documented. The associated EPSS score reached a peak of 0.0843 after disclosure before settling at 0.0611, indicating modest but observable post-release interest in the issue.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-45836
Vulnerability details
GLPI stands for Gestionnaire Libre de Parc Informatique is a Free Asset and IT Management Software package, that provides ITIL Service Desk features, licenses tracking and software auditing. An unauthenticated user can enumerate users logins. Users are advised to upgrade…
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to version 10.0.10. There are no known workarounds for this vulnerability.
- CWE(s)
Related Threats
No named actor attribution yet. ATT&CK technique mapping in progress for this CVE.
Affected Assets
Mitigating Controls
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.
Automated marking applies security attributes to system outputs, making it harder for attackers to exploit unmarked sensitive information leading to unauthorized exposure.
Proper attribute retention and permitted-value enforcement limits unauthorized actors from accessing sensitive information lacking correct labels.
Prevents unauthorized exposure of sensitive information by prohibiting untrusted external systems from processing or storing it.
By enforcing authorization matching prior to sharing, the control reduces the risk of exposing sensitive information to unauthorized actors.
Review and removal of nonpublic information from publicly accessible systems directly prevents exposure of sensitive data to unauthorized actors.
Data mining protection mechanisms detect and block unauthorized bulk extraction of sensitive data, directly mitigating exposure to unauthorized actors.
Literacy training teaches users to recognize and avoid actions that result in unauthorized exposure of sensitive information.
Retaining and monitoring training records confirms personnel have completed privacy and security awareness training on handling sensitive data, reducing the chance of unauthorized exposure due to lack of knowledge.