CVE-2024-36122
Published: 03 July 2024
Summary
CVE-2024-36122 is a low-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Discourse Discourse. Its CVSS base score is 2.4 (Low).
Operationally, exploitation aligns with the MITRE ATT&CK technique Email Account (T1087.003); ranked at the 33.4th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-35889
Vulnerability details
Discourse is an open-source discussion platform. Prior to version 3.2.3 on the `stable` branch and version 3.3.0.beta4 on the `beta` and `tests-passed` branches, moderators using the review queue to review users may see a users email address even when the…
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Allow moderators to view email addresses setting is disabled. This issue is patched in version 3.2.3 on the `stable` branch and version 3.3.0.beta4 on the `beta` and `tests-passed` branches. As possible workarounds, either prevent moderators from accessing the review queue or disable the approve suspect users site setting and the must approve users site setting to prevent users from being added to the review queue.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability enables moderators to access users' email addresses through the review queue, bypassing the privacy setting that disables moderator email viewing, facilitating Email Account Discovery.
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.