Attacker Value
Unknown
(0 users assessed)
Exploitability
Unknown
(0 users assessed)
User Interaction
None
Privileges Required
None
Attack Vector
Network
0

CVE-2023-37470

Disclosure Date: August 04, 2023
Add MITRE ATT&CK tactics and techniques that apply to this CVE.

Description

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 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.

Add Assessment

No one has assessed this topic. Be the first to add your voice to the community.

CVSS V3 Severity and Metrics
Base Score:
9.8 Critical
Impact Score:
5.9
Exploitability Score:
3.9
Vector:
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
Attack Vector (AV):
Network
Attack Complexity (AC):
Low
Privileges Required (PR):
None
User Interaction (UI):
None
Scope (S):
Unchanged
Confidentiality (C):
High
Integrity (I):
High
Availability (A):
High

General Information

Vendors

Products

Additional Info

Technical Analysis