CVE-2023-49796
Published: 11 December 2023
Summary
CVE-2023-49796 is a medium-severity Improper Input Validation (CWE-20) vulnerability in Mindsdb Mindsdb. Its CVSS base score is 5.3 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 24.4% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Other Platforms; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: AI Supply Chain Compromise (AML.T0010), External Harms (AML.T0048).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-0151
Vulnerability details
MindsDB connects artificial intelligence models to real time data. Versions prior to 23.11.4.1 contain a limited file write vulnerability in `file.py` Users should use MindsDB's `staging` branch or v23.11.4.1, which contain a fix for the issue.
- CWE(s)
AI Security AnalysisAI
- AI Category
- Other Platforms
- Risk Domain
- Other ATLAS/OWASP Terms
- OWASP Top 10 for LLMs 2025
- None mapped
- Classification Reason
- MindsDB is an AI platform that connects artificial intelligence models to real-time data sources, fitting as an 'Other Platforms' category for AI infrastructure and integration tools.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
File write vulnerability in MindsDB (CVE-2023-49796), an application with HTTP API and GUI exposure, enables remote exploitation of a public-facing application.
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.