CVE-2021-32624
Published: 24 May 2021
Summary
CVE-2021-32624 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Keystonejs Keystone-5. Its CVSS base score is 7.5 (High).
Operationally, ranked in the top 45.1% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2021-0898
Vulnerability details
Keystone 5 is an open source CMS platform to build Node.js applications. This security advisory relates to a newly discovered capability in our query infrastructure to directly or indirectly expose the values of private fields, bypassing the configured access control.…
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This is an access control related oracle attack in that the attack method guides an attacker during their attempt to reveal information they do not have access to. The complexity of completing the attack is limited by some length-dependent behaviors and the fidelity of the exposed information. Under some circumstances, field values or field value meta data can be determined, despite the field or list having `read` access control configured. If you use private fields or lists, you may be impacted. No patches exist at this time. There are no workarounds at this time
- 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.