CVE-2024-1210
Published: 05 February 2024
Summary
CVE-2024-1210 is a medium-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Learndash Learndash. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 3.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
Deeper analysis
The LearnDash LMS plugin for WordPress contains a sensitive information exposure vulnerability affecting all versions through 4.10.1. The flaw resides in the plugin's API and is tracked under CWE-200, carrying a CVSS 3.1 base score of 5.3 for network-accessible exposure of limited confidentiality data without authentication.
Unauthenticated remote attackers can directly query the API to retrieve quiz contents that should otherwise remain restricted, enabling them to view assessment material without any user privileges or interaction from site administrators.
Vendor release notes and the Wordfence advisory both point to an updated version of the plugin as the corrective measure, with additional technical details available in the referenced GitHub repository. The associated EPSS score has remained flat at 0.2394 with no material increase observed since disclosure.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-16977
Vulnerability details
The LearnDash LMS plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 4.10.1 via API. This makes it possible for unauthenticated attackers to obtain access to quizzes.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability enables unauthenticated attackers to exploit a public-facing WordPress REST API (T1190) to access and collect sensitive quiz and question data from the LearnDash LMS information repository (T1213).
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.