CVE-2024-2913
Published: 07 May 2024
Summary
CVE-2024-2913 is a medium-severity Time-of-check Time-of-use (TOCTOU) Race Condition (CWE-367) vulnerability in Mintplexlabs Anythingllm. Its CVSS base score is 6.5 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 29.6th 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 Other ATLAS/OWASP Terms risk domain.
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-27856
Vulnerability details
A race condition vulnerability exists in the mintplex-labs/anything-llm repository, specifically within the user invite acceptance process. Attackers can exploit this vulnerability by sending multiple concurrent requests to accept a single user invite, allowing the creation of multiple user accounts from…
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a single invite link intended for only one user. This bypasses the intended security mechanism that restricts invite acceptance to a single user, leading to unauthorized user creation without detection in the invite tab. The issue is due to the lack of validation for concurrent requests in the backend.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Enterprise AI Assistants
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- The vulnerability affects mintplex-labs/anything-llm, an open-source enterprise AI application for multi-user LLM interactions, document chatting, and AI-assisted workflows, fitting the Enterprise AI Assistants category.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Race condition in public-facing invite acceptance endpoint (T1190: Exploit Public-Facing Application) enables unauthorized creation of multiple cloud user accounts (T1136.003: Create Account: Cloud Account).
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.
Timestamps meeting UTC or offset standards help identify TOCTOU issues through precise chronological reconstruction of check/use operations.