CVE-2024-3101
Published: 10 April 2024
Summary
CVE-2024-3101 is a high-severity Improper Input Validation (CWE-20) vulnerability in Mintplexlabs Anythingllm. Its CVSS base score is 7.2 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploitation for Privilege Escalation (T1068); ranked at the 28.4th 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-2024-31704
Vulnerability details
In mintplex-labs/anything-llm, an improper input validation vulnerability allows attackers to escalate privileges by deactivating 'Multi-User Mode'. By sending a specially crafted curl request with the 'multi_user_mode' parameter set to false, an attacker can deactivate 'Multi-User Mode'. This action permits the…
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creation of a new admin user without requiring a password, leading to unauthorized administrative access.
- 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
- mintplex-labs/anything-llm is an open-source full-stack AI application for interacting with LLMs, managing documents, and multi-user setups, fitting the Enterprise AI Assistants category as a deployable AI assistant platform.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability enables exploitation for privilege escalation (T1068) via improper input validation in a crafted request, allowing deactivation of Multi-User Mode and creation of a new admin account without a password (T1136).
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.
Security testing and developer training directly verify and enforce proper input validation, reducing exploitability of injection and malformed-data weaknesses.
Security testing and evaluation at multiple SDLC stages directly detects missing or flawed input validation, with the required remediation process ensuring fixes are applied.
Directly implements checks on information inputs to reject invalid data before processing.
Spam protection mechanisms perform filtering and detection on inbound/outbound messages, directly compensating for missing or weak input validation of unsolicited content.