Raw vector
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:NSummary
CVE-2024-3502 is a high-severity Insertion of Sensitive Information Into Sent Data (CWE-201) 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 33th percentile by exploit likelihood (below the median); it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as LLM Application Platforms; in the Privacy and Disclosure risk domain.
The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and AC-4 (Information Flow Enforcement) — see the control section below for these in your framework.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-32088
Vulnerability Data
In lunary-ai/lunary versions up to and including 1.2.5, an information disclosure vulnerability exists where account recovery hashes of users are inadvertently exposed to unauthorized actors. This issue occurs when authenticated users inspect responses from `GET /v1/users/me` and `GET /v1/users/me/org` endpoints.…
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The exposed account recovery hashes, while not directly related to user passwords, represent sensitive information that should not be accessible to unauthorized parties. Exposing these hashes could potentially facilitate account recovery attacks or other malicious activities. The vulnerability was addressed in version 1.2.6.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Privacy and Disclosure
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Lunary.ai is an open-source LLM observability and management platform, fitting 'Other Platforms' as it provides infrastructure for monitoring and managing AI/LLM applications, and the vulnerability is in its API endpoints.
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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- 4 hardening rules · 3 OS baselines
V14.2.3
Mitigating Controls (NIST 800-53 r5) AI
Enforces approved authorizations for logical access to stored information, directly stopping unauthorized read/write.
Directly enforces policy-based information flow rules that block transmission of sensitive data to unauthorized actors.
Requires protection of confidentiality/integrity for information at rest, directly addressing insecure storage.
Limits privileges so only authorized accesses to sensitive stored data are permitted.
Requires validation of outbound information to ensure sensitive content is not disclosed in responses or messages.
Associates security attributes with information to support proper access decisions on storage.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Enforces least-privilege permissions and authorization reviews that limit read/write access to stored sensitive data.
Directly protects data-at-rest confidentiality via encryption or access controls that prevent unauthorized reads.
Secure SDLC practices directly prevent insertion of sensitive data into application outputs and messages.
Monitoring runtime data flows and outputs can detect sensitive data being transmitted.
Protecting data-in-transit can include filtering or encrypting to avoid exposing sensitive content.
Protecting data-in-use includes removing confidential values before they are processed or sent.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Data-masking techniques can prevent sensitive values from appearing in transmitted payloads.
Classification identifies sensitive data so it is not inadvertently transmitted.
Labelling makes sensitive data visible to developers and prevents accidental inclusion in outbound messages.
Information-transfer rules directly govern what data may be sent to external parties.
PII-protection requirements reduce the chance of sending personal data to unauthorized recipients.
DLP controls inspect and block outbound flows that contain sensitive information.
Hardening callouts derived
Configuration rules from DISA STIG baselines that bear on weaknesses of the type cited by this CVE. Each rule is shown with the relationship its mapping actually records, against the CWE it was authored against. Derived via CVE→CWE over `controls_xwalks` (authoritative rows only; rows rated `none` are excluded).
Windows Server 2016 (2 rules)
- V-224973 The Active Directory Domain Controllers Organizational Unit (OU) object must have the proper access control permissions. prevents CWE-922
- V-224974 Domain-created Active Directory Organizational Unit (OU) objects must have proper access control permissions. prevents CWE-922
Windows Server 2019 (1 rule)
- V-205743 Windows Server 2019 organization created Active Directory Organizational Unit (OU) objects must have proper access control permissions. prevents CWE-922