Raw vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:HSummary
CVE-2023-37470 is a critical-severity Code Injection (CWE-94) vulnerability in Metabase Metabase. Its CVSS base score is 10.0 (Critical).
Operationally, exploitation aligns with the MITRE ATT&CK technique Command and Scripting Interpreter (T1059); ranked in the top 31% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2023-41366
Vulnerability Data
Metabase is an open-source business intelligence and analytics platform. Prior to versions 0.43.7.3, 0.44.7.3, 0.45.4.3, 0.46.6.4, 1.43.7.3, 1.44.7.3, 1.45.4.3, and 1.46.6.4, a vulnerability could potentially allow remote code execution on one's Metabase server. The core issue is that one of…
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the supported data warehouses (an embedded in-memory database H2), exposes a number of ways for a connection string to include code that is then executed by the process running the embedded database. Because Metabase allows users to connect to databases, this means that a user supplied string can be used to inject executable code. Metabase allows users to validate their connection string before adding a database (including on setup), and this validation API was the primary vector used as it can be called without validation. Versions 0.43.7.3, 0.44.7.3, 0.45.4.3, 0.46.6.4, 1.43.7.3, 1.44.7.3, 1.45.4.3, and 1.46.6.4 fix this issue by removing the ability of users to add H2 databases entirely. As a workaround, it is possible to block these vulnerabilities at the network level by blocking the endpoints `POST /api/database`, `PUT /api/database/:id`, and `POST /api/setup/validateuntil`. Those who use H2 as a file-based database should migrate to SQLite.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V1.3.1
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.
Makes persistent code injection into loaded programs impossible when the executable image itself resides on hardware-protected read-only media.
Dynamically generated code can be produced and executed inside the isolated chamber, preventing host compromise from code-injection payloads.
Validates inputs used in dynamic code generation to block injected directives.
Directly prevents execution of attacker-supplied code written into data memory regions.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
PR.PS-06's SDLC practices directly target injection flaws via secure coding and testing (mostly), yet as a single broad outcome it leaves many code-generation specifics unaddressed (partial).
PR.DS-10 protects runtime data confidentiality/integrity but has no bearing on neutralizing externally influenced input during code generation, so neither direction shows any preventive effect.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Banning unapproved code samples and unauthenticated web services, combined with secure-coding standards and SAST, prevents the dynamic generation or inclusion of attacker-supplied code.
Controls that restrict unauthorized or malicious code from being introduced via external networks or removable media limit opportunities for an attacker to inject and execute arbitrary code.