Cyber Resilience

CVE-2024-3501

High

Published: 14 November 2024

Published
14 November 2024
Modified
30 January 2025
KEV Added
Patch
CVSS Score v3.1 8.1 CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N
EPSS Score 0.0022 45.1th percentile
Risk Priority 16 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2024-3501 is a high-severity Insecure Storage of Sensitive Information (CWE-922) vulnerability in Lunary Lunary. Its CVSS base score is 8.1 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 45.1th percentile by exploit likelihood (below the median); 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; MITRE ATLAS techniques in scope: User Execution (AML.T0011), AI Model Inference API Access (AML.T0040).

EU & UK References

Vulnerability details

In lunary-ai/lunary versions up to and including 1.2.5, an information disclosure vulnerability exists due to the inclusion of single-use tokens in the responses of `GET /v1/users/me` and `GET /v1/users/me/org` API endpoints. These tokens, intended for sensitive operations such as password…

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resets or account verification, are exposed to unauthorized actors, potentially allowing them to perform actions on behalf of the user. This issue was addressed in version 1.2.6, where the exposure of single-use tokens in user-facing queries was mitigated.

CWE(s)

AI Security AnalysisAI

AI Category
Other Platforms
Risk Domain
Privacy and Disclosure
OWASP Top 10 for LLMs 2025
None mapped
Classification Reason
Lunary is an open-source LLM engineering and observability platform (lunary-ai/lunary), fitting under 'Other Platforms' as an AI/ML operations tool, not specifically a framework, library, or assistant.

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1212 Exploitation for Credential Access Credential Access
Adversaries may exploit software vulnerabilities in an attempt to collect credentials.
T1078.004 Cloud Accounts Stealth
Valid accounts in cloud environments may allow adversaries to perform actions to achieve Initial Access, Persistence, Privilege Escalation, or Defense Evasion.
Why these techniques?

Vulnerability exposes single-use tokens for password resets/account verification via public-facing API endpoints, enabling exploitation of public-facing application (T1190), exploitation for credential access (T1212), and use of valid cloud accounts (T1078.004).

MITRE ATLAS TechniquesAI

MITRE ATLAS techniques

AML.T0011: User ExecutionAML.T0040: AI Model Inference API Access

Affected Assets

lunary
lunary
≤ 1.2.6

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.

addresses: CWE-922

Tracking information locations and access supports secure storage practices instead of insecure ones.

addresses: CWE-922

Establishing an alternate site with equivalent protections directly mitigates insecure storage of sensitive backup information.

addresses: CWE-922

Requiring protection of backup information directly addresses insecure storage of sensitive data in backups.

addresses: CWE-922

Policy explicitly addresses insecure storage of CUI on external systems, requiring compliant handling and protections.

addresses: CWE-922

Proper categorization drives selection of storage controls that keep sensitive information from being stored insecurely.

addresses: CWE-922

The control explicitly requires secure storage mechanisms for sensitive information, closing the insecure-storage weakness class.

addresses: CWE-922

Storing information as fragments on distinct components is an architectural control that avoids insecure single-location storage of the complete sensitive data set.

addresses: CWE-922

OPSEC requirements improve handling and storage practices for sensitive supply-chain information.

References