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budibase: Database Connector SQL Injections in PostgreSQL, MS SQL, and MySQL — budibase

Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Summary

This advisory covers three distinct SQL Injection vulnerabilities within Budibase's database connectors (PostgreSQL, Microsoft SQL Server, and MySQL). Because user-controlled schema and table configurations are interpolated directly into raw SQL queries without proper escaping or parameterization during database introspection, an authenticated administrator can break out of string delimiters. This allows for arbitrary DDL/DML execution, database compromise, and potential underlying OS command execution (e.g., via MS SQL xp_cmdshell).

Details

Vulnerability Type & Title

PostgreSQL SET search_path SQL Injection

Description & Root Cause

The schema datasource config field is interpolated directly into a raw SQL statement without proper escaping. Double quotes inside the schema name are not escaped, allowing an attacker to break out of the string literal and inject arbitrary SQL.

Vulnerable Code: File: packages/server/src/integrations/postgres.ts, lines 355–358

const search_path = this.config.schema .split(",") .map(item => `"${item.trim()}"`) // NO escaping of embedded " await this.client.query(`SET search_path TO ${search_path.join(",")};`)

node-postgres sends this via the simple query protocol, which supports multi-statement execution with semicolons.

Step-by-Step Reproduction

  1. Edit a PostgreSQL datasource configuration.
  2. Set the schema field to: public"; CREATE TABLE pwned AS SELECT usename, passwd FROM pg_shadow; --
  3. Save or trigger a connection test.
  4. The query executes as: SET search_path TO "public"; CREATE TABLE pwned AS SELECT usename, passwd FROM pg_shadow; --;
  5. PostgreSQL executes both statements.

Impact

  • Full database compromise. The attacker can read pg_shadow hashes, call pg_read_file(), or execute any DDL/DML.

Vulnerability Type & Title

Microsoft SQL Server Schema Introspection SQL Injection

Description & Root Cause

Three methods used during schema introspection (buildSchema) interpolate user-controlled values directly into SQL strings using single-quote delimiters with no escaping.

Vulnerable Code: File: packages/server/src/integrations/microsoftSqlServer.ts, lines 388–414

getDefinitionSQL(tableName: string, schemaName: string) { return `select * from INFORMATION_SCHEMA.COLUMNS where TABLE_NAME='${tableName}' AND TABLE_SCHEMA='${schemaName}'` }

schemaName comes directly from this.config.schema (user config).

Step-by-Step Reproduction

  1. Edit an MS SQL Server datasource configuration.
  2. Set the schema field to: dbo'; EXEC xp_cmdshell('whoami'); --
  3. Trigger schema introspection (fetch tables).
  4. The OS command executes on the SQL server if xp_cmdshell is enabled.

Impact

  • Arbitrary SQL execution, potentially leading to OS command execution via xp_cmdshell.

Vulnerability Type & Title

MySQL multipleStatements: true + DESCRIBE Backtick Injection

Description & Root Cause

The MySQL integration enables multipleStatements: true, allowing semicolon-separated multi-statement execution. When introspecting tables, table names are interpolated into a DESCRIBE query wrapped in backticks, but the backticks are not escaped.

Vulnerable Code: File: packages/server/src/integrations/mysql.ts, lines 172, 305

this.config = { ...config, multipleStatements: true, ... } // line 172 ... { sql: `DESCRIBE \`${tableName}\`;` } // line 305 — backtick NOT escaped

Step-by-Step Reproduction

  1. An attacker (or malicious database user) creates a table named foo`; DROP TABLE users; --.
  2. In Budibase, an admin triggers schema introspection for the database.
  3. Budibase reads the malicious table name from INFORMATION_SCHEMA.TABLES and inserts it into the DESCRIBE query.
  4. The backtick breaks out, and the secondary DROP TABLE payload executes.

Impact

  • Arbitrary SQL execution triggered during schema discovery. Requires prior database catalog manipulation.
  • Published: Jun 18, 2026
  • Updated: Jun 19, 2026
  • GHSA: GHSA-qqf5-x7mj-v43p
  • Severity: High
  • Exploit:
  • CISA KEV:

CVSS v3:

  • Severity: High
  • Score: 8.4
  • AV:N/AC:L/PR:H/UI:R/S:C/C:H/I:H/A:H

CWEs:

OWASP TOP 10:

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CVSS (Common Vulnerability Scoring System) estimates technical severity, but it doesn't automatically equal business risk. Prioritize using context like internet exposure, affected asset criticality, known exploitation (proof-of-concept or in-the-wild), and whether compensating controls exist. A "Medium" CVSS on an exposed, production system can be more urgent than a "Critical" on an isolated, non-production host.

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Recurring findings usually come from incomplete Asset Discovery, inconsistent patch management, inherited images, and configuration drift. In modern environments, you also need to watch the software supply chain: dependencies, containers, build pipelines, and third-party services can reintroduce the same weakness even after you patch a single host. Unknown or unmanaged assets (often called Shadow IT) are a common reason the same issues resurface.

Use a simple, repeatable triage model: focus first on externally exposed assets, high-value systems (identity, VPN, email, production), vulnerabilities with known exploits, and issues that enable remote code execution or privilege escalation. Then enforce patch SLAs and track progress using consistent metrics so remediation is steady, not reactive.

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