CVE-2024-8979
Published: 15 November 2024
Summary
CVE-2024-8979 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Wpdeveloper Essential Addons For Elementor. Its CVSS base score is 8.0 (High).
Operationally, ranked in the top 23.6% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-49519
Vulnerability details
The Essential Addons for Elementor – Best Elementor Addon, Templates, Widgets, Kits & WooCommerce Builders plugin for WordPress is vulnerable to Sensitive Information Exposure in all versions up to, and including, 6.0.9 via the 'init_content_lostpassword_user_email_controls' function. This makes it possible…
more
for authenticated attackers, with Author-level access and above, to extract sensitive data including usernames and passwords of any user, including Administrators, as long as that user opens the email notification for a password change request and images are not blocked by the email client.
- 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.