Executive Summary

This vulnerability exists in the pgAdmin 4 AI Assistant's execute_sql_query tool, which runs SQL queries generated by a large language model (LLM) inside a read-only transaction wrapper to prevent data modification.

However, the LLM-supplied query was not properly restricted to a single read-only statement. An attacker who can inject content into any database object the AI Assistant reads can craft a multi-statement SQL payload starting with transaction-control commands like COMMIT or ROLLBACK. This payload terminates the read-only transaction and executes subsequent statements in autocommit mode, allowing unauthorized data modification.

If the pgAdmin user's database role has elevated privileges (such as superuser or pg_execute_server_program), the attacker can escalate this to remote code execution on the database server via the COPY ... TO PROGRAM command.

The vulnerability is fixed by validating the LLM-supplied query upfront to ensure it contains exactly one allowed read-only statement (SELECT, WITH, EXPLAIN, SHOW, VALUES, or TABLE) and rejects all others before any database interaction.

Useful 0 Not Useful 0

Impact Analysis

This vulnerability can allow an attacker with the ability to influence database content read by the AI Assistant to execute arbitrary SQL commands with the privileges of the pgAdmin user's database role.

With ordinary write privileges, the attacker can perform unauthorized data modifications, potentially corrupting or altering sensitive data.

If the pgAdmin user's role has superuser privileges or the pg_execute_server_program role, the attacker can escalate the attack to remote code execution on the database server host, which could lead to full system compromise.

Useful 0 Not Useful 0

Mitigation Strategies

The vulnerability in pgAdmin 4's AI Assistant allows multi-statement or non-read-only SQL queries to bypass transaction restrictions, potentially enabling unauthorized data modification or remote code execution.

Immediate mitigation involves updating pgAdmin 4 to version 9.16 or later, where a fix has been implemented.

• The fix validates LLM-supplied queries to ensure they parse to exactly one non-empty, non-comment statement.
• Only queries beginning with allowlisted keywords (SELECT, WITH, EXPLAIN, SHOW, VALUES, TABLE) are permitted.
• All other statements, including transaction-control verbs, DML, DDL, and other disallowed keywords, are rejected before any database work happens.

Until the update is applied, restrict write privileges on objects that the AI Assistant may inspect to reduce the risk of prompt injection.

Useful 0 Not Useful 0

Compliance Impact

This vulnerability allows an attacker with write access to the database content that the pgAdmin 4 AI Assistant reads to execute arbitrary SQL commands with the privileges of the pgAdmin user's database role. This can lead to unauthorized data modification or, in cases where the pgAdmin user has elevated privileges, remote code execution on the database server host.

Such unauthorized data modification or potential data breaches could impact compliance with common standards and regulations like GDPR and HIPAA, which require strict controls over data integrity, confidentiality, and access. The ability to bypass read-only transaction restrictions and modify data without proper authorization increases the risk of violating these regulatory requirements.

Useful 0 Not Useful 0

Detection Guidance

This vulnerability involves the pgAdmin 4 AI Assistant executing multi-statement or non-read-only SQL queries that bypass transaction restrictions. Detection would focus on identifying unusual or unauthorized SQL queries that include transaction-control statements such as COMMIT, END, ROLLBACK, or ABORT within the AI Assistant's activity.

Since the vulnerability is triggered by prompt injection causing the AI Assistant to run multi-statement payloads, monitoring logs for such SQL statements or unexpected transaction control commands executed by the pgAdmin user role could help detect exploitation attempts.

Suggested commands to detect suspicious activity might include querying PostgreSQL logs for transaction-control statements issued by the pgAdmin user, for example:

• grep -iE 'COMMIT|END|ROLLBACK|ABORT' /var/log/postgresql/postgresql.log | grep pgadmin
• SELECT * FROM pg_stat_activity WHERE usename = 'pgadmin' AND query ~* '(COMMIT|END|ROLLBACK|ABORT)';

Additionally, monitoring for unexpected data modifications or unusual COPY ... TO PROGRAM commands executed by the pgAdmin user could indicate exploitation attempts.

Useful 0 Not Useful 0