CVE-2024-43416
Published: 18 November 2024
Summary
CVE-2024-43416 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Glpi-Project Glpi. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 3.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
Deeper analysis
GLPI, an open-source IT asset management software package, is affected by an information disclosure vulnerability in all versions from 0.80 through 10.0.16. The flaw resides in an application endpoint that permits unauthenticated queries to test whether a supplied email address corresponds to a registered user account, exposing user enumeration data.
An attacker with network access can exploit the issue without credentials or user interaction to enumerate valid email addresses, achieving high confidentiality impact as reflected in the CVSS 7.5 rating. This information can support follow-on attacks such as targeted phishing or credential guessing against the GLPI instance.
The GLPI project addressed the exposure in version 10.0.17; the fix is documented in security advisory GHSA-j8gc-xpgr-2ww7 and the associated commit that restricts the endpoint.
The EPSS score has remained flat at its peak value of 0.2445, indicating no material rise in observed exploitation interest after disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-40273
Vulnerability details
GLPI is a free asset and IT management software package. Starting in version 0.80 and prior to version 10.0.17, an unauthenticated user can use an application endpoint to check if an email address corresponds to a valid GLPI user. Version…
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10.0.17 fixes the issue.
- 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.