CVE-2024-5133
Published: 06 June 2024
Summary
CVE-2024-5133 is a high-severity Exposure of Sensitive Information to an Unauthorized Actor (CWE-200) vulnerability in Lunary Lunary. Its CVSS base score is 8.1 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Unsecured Credentials (T1552); ranked at the 47.8th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Privacy and Disclosure risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-46390
Vulnerability details
In lunary-ai/lunary version 1.2.4, an account takeover vulnerability exists due to the exposure of password recovery tokens in API responses. Specifically, when a user initiates the password reset process, the recovery token is included in the response of the `GET…
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/v1/users/me/org` endpoint, which lists all users in a team. This allows any authenticated user to capture the recovery token of another user and subsequently change that user's password without consent, effectively taking over the account. The issue lies in the inclusion of the `recovery_token` attribute in the users object returned by the API.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Lunary (lunary-ai/lunary) is an open-source LLM observability and management platform for teams and enterprises, fitting the Enterprise AI Assistants category as it provides tools for monitoring, evaluating, and managing AI/LLM applications in organizational settings.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability exposes password recovery tokens in API responses to authenticated team members (T1552 Unsecured Credentials), enabling their use as alternate authentication material (T1550) to reset other users' passwords and takeover cloud accounts (T1078.004).
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.