CVE-2023-5832
Published: 30 October 2023
Summary
CVE-2023-5832 is a critical-severity Improper Input Validation (CWE-20) vulnerability in Mintplexlabs Anythingllm. Its CVSS base score is 9.1 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked at the 20.9th 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; MITRE ATLAS techniques in scope: Direct (AML.T0051.000).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-58115
Vulnerability details
Improper Input Validation in GitHub repository mintplex-labs/anything-llm prior to 0.1.0.
- 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 is in 'mintplex-labs/anything-llm', an open-source full-stack AI application/platform for interacting with LLMs (AnythingLLM), fitting the 'Enterprise AI Assistants' category as it provides AI assistant capabilities for document chatting and LLM usage. Reported on an AI/ML bug bounty platform (huntr).
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
Improper input validation in the Anything-LLM application (a web-based LLM tool) enables remote exploitation of public-facing applications.
MITRE ATLAS TechniquesAI
MITRE ATLAS techniques
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.