CVE-2024-12041
Published: 01 February 2025
Summary
CVE-2024-12041 is a medium-severity Exposure of Private Personal Information to an Unauthorized Actor (CWE-359) vulnerability in Wpwax Directorist. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Email Addresses (T1589.002); ranked in the top 45.9% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Other Platforms; in the Privacy and Disclosure risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-50552
Vulnerability details
The Directorist: AI-Powered WordPress Business Directory Plugin with Classified Ads Listings plugin for WordPress is vulnerable to Information Exposure in all versions up to, and including, 8.0.12 via the /wp-json/directorist/v1/users/ endpoint. This makes it possible for unauthenticated attackers to extract…
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sensitive data including including usernames, email addresses, names, and more information about users.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Matched keywords: ai
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability exposes usernames, email addresses, names, and other user information via an unauthenticated API endpoint, facilitating reconnaissance to gather victim email addresses and employee names.
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 identifies private personal information in outputs, tangibly reducing the ability to exploit weaknesses that result in its unauthorized exposure.
Privacy-specific attributes and their controlled association directly reduce exposure of private personal information through missing or incorrect labeling.
Preventing nonpublic personal information from public posting reduces unauthorized exposure of private personal data.
The control detects and protects against mining of private personal information, reducing unauthorized exposure of PII.
Privacy literacy training directly targets preventing exposure of personal information through user mishandling.
Tracking locations of sensitive data and access users reduces risk of private personal information exposure.
PIA explicitly identifies PII collection/use/disclosure flows and drives mitigations that reduce the likelihood of unauthorized exposure of private personal information.
The control specifically requires architectures that minimize privacy risk when processing PII, directly addressing exposure of personal information.