CVE-2024-8765
Lunary ≤ 1.4.23
Raw vector
CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:LSummary
CVE-2024-8765 is a high-severity Improper Resolution of Path Equivalence (CWE-41) vulnerability in Lunary Lunary. Its CVSS base score is 7.3 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Data from Local System (T1005); ranked in the top 47% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
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 SI-10 (Information Input Validation) and AC-3 (Access Enforcement) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2025-6895
Vulnerability Data
In lunary-ai/lunary, the privilege check mechanism is flawed in version git afc5df4. The system incorrectly identifies certain endpoints as public if the path contains '/auth/' anywhere within it. This allows unauthenticated attackers to access sensitive endpoints by including '/auth/' in…
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the path. As a result, attackers can obtain and modify sensitive data and utilize other organizations' resources without proper authentication.
- 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
- Matched keywords: ai, lunary
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
Input validation of file paths directly rejects or normalizes the special-character manipulations that create equivalent names.
Proper enforcement of file access authorizations structurally blocks disclosure when equivalent paths are presented.
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.
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.
Secure coding standards directly require canonical path resolution and input sanitization to prevent equivalence attacks.
Security testing can detect path-equivalence flaws before release, partially fulfilling the control.
Secure development lifecycle includes path-handling requirements that reduce equivalence-based disclosure.
Application security requirements can mandate canonicalization and input validation to block path equivalence.
Secure architecture principles call for safe file-system abstractions that mitigate path traversal risks.
Information access restriction limits what files can be reached, indirectly reducing impact of path-equivalence exploits.