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

High severity GitHub Reviewed Published Jun 18, 2026 in Budibase/budibase • Updated Jun 18, 2026

Package

npm budibase (npm)

Affected versions

< 3.39.19

Patched versions

3.39.19

Description

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.

References

@mjashanks mjashanks published to Budibase/budibase Jun 18, 2026
Published to the GitHub Advisory Database Jun 18, 2026
Reviewed Jun 18, 2026
Last updated Jun 18, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v3 base metrics

Attack vector
Network
Attack complexity
Low
Privileges required
High
User interaction
Required
Scope
Changed
Confidentiality
High
Integrity
High
Availability
High

CVSS v3 base metrics

Attack vector: More severe the more the remote (logically and physically) an attacker can be in order to exploit the vulnerability.
Attack complexity: More severe for the least complex attacks.
Privileges required: More severe if no privileges are required.
User interaction: More severe when no user interaction is required.
Scope: More severe when a scope change occurs, e.g. one vulnerable component impacts resources in components beyond its security scope.
Confidentiality: More severe when loss of data confidentiality is highest, measuring the level of data access available to an unauthorized user.
Integrity: More severe when loss of data integrity is the highest, measuring the consequence of data modification possible by an unauthorized user.
Availability: More severe when the loss of impacted component availability is highest.
CVSS:3.1/AV:N/AC:L/PR:H/UI:R/S:C/C:H/I:H/A:H

EPSS score

Weaknesses

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

The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data. Learn more on MITRE.

CVE ID

No known CVE

GHSA ID

GHSA-qqf5-x7mj-v43p

Source code

Credits

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