CVE-2024-5755
Lunary ≤ 1.2.11
Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:L/A:NSummary
CVE-2024-5755 is a medium-severity Incorrect Synchronization (CWE-821) vulnerability in Lunary Lunary. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 27th 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 LLM Application Platforms; in the Other ATLAS/OWASP Terms risk domain.
The strongest mitigations our analysis identified map to SC-4 (Information in Shared System Resources) — see the control section below for these in your framework.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-46907
Vulnerability Data
In lunary-ai/lunary versions <=v1.2.11, an attacker can bypass email validation by using a dot character ('.') in the email address. This allows the creation of multiple accounts with essentially the same email address (e.g., 'attacker123@gmail.com' and 'attacker.123@gmail.com'), leading to incorrect…
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synchronization and potential security issues.
- CWE(s)
AI Security AnalysisAI
- AI Category
- LLM Application Platforms
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- Lunary.ai is an open-source LLM observability and analytics platform (lunary-ai/lunary), which falls under AI platforms for monitoring and managing AI/LLM deployments, best categorized as 'Other Platforms'. The vulnerability is in its account management, but the software is AI-related as confirmed by the AI/ML bug bounty context.
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Mitigating Controls (NIST 800-53 r5) AI
SC-4 directly requires preventing unintended information transfer through shared resources, structurally blocking the concurrent unsynchronized access described by CWE-821.
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.
Secure SDLC practices directly require correct concurrency controls and synchronization primitives to prevent race conditions.
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.
Security testing can detect synchronization flaws before production deployment.
Secure SDLC practices include concurrency and synchronization requirements that reduce race conditions.
Application security requirements can mandate proper locking and thread-safety controls.
Secure architecture principles address concurrent access and resource synchronization.
Secure coding standards directly require correct synchronization primitives and thread-safety.
Change management processes can introduce or miss synchronization fixes during updates.