CVE-2024-4287
Published: 20 May 2024
Summary
CVE-2024-4287 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 45.0th 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-2024-32837
Vulnerability details
In mintplex-labs/anything-llm, a vulnerability exists due to improper input validation in the workspace update process. Specifically, the application fails to validate or format JSON data sent in an HTTP POST request to `/api/workspace/:workspace-slug/update`, allowing it to be executed as part…
more
of a database query without restrictions. This flaw enables users with a manager role to craft a request that includes nested write operations, effectively allowing them to create new Administrator accounts.
- 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, featuring workspaces and multi-user management, fitting the Enterprise AI Assistants category as a platform for deploying and managing LLM-based assistants.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
The vulnerability enables exploitation of improper input validation in a web API to perform arbitrary database writes, facilitating privilege escalation (T1068) by allowing manager-role users to create new Administrator accounts (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.