CVE-2024-5753
Published: 05 July 2024
Summary
CVE-2024-5753 is a high-severity SQL Injection (CWE-89) vulnerability. Its CVSS base score is 7.5 (High).
Operationally, exploitation aligns with the MITRE ATT&CK technique /etc/passwd and /etc/shadow (T1003.008); ranked in the top 47.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
This vulnerability is AI-related — categorised as Enterprise AI Assistants; in the Other ATLAS/OWASP Terms risk domain; MITRE ATLAS techniques in scope: Exfiltration via AI Inference API (AML.T0024).
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2024-2388
Vulnerability details
vanna-ai/vanna version v0.3.4 is vulnerable to SQL injection in some file-critical functions such as `pg_read_file()`. This vulnerability allows unauthenticated remote users to read arbitrary local files on the victim server, including sensitive files like `/etc/passwd`, by exploiting the exposed SQL…
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queries via a Python Flask API.
- 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
- Vanna AI (vanna-ai/vanna) is an open-source framework for building AI SQL agents/assistants that generate SQL queries from natural language, fitting the Enterprise AI Assistants category as it provides AI-driven assistance for database querying in enterprise-like settings.
Related Threats
MITRE ATT&CK Enterprise TechniquesAI
Why these techniques?
SQL injection in exposed Flask API enables exploitation of public-facing application (T1190) for arbitrary local file reads (T1005), including /etc/passwd for OS credential dumping (T1003.008).
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.