CVE-2026-17351
Description
A flaw was found in pgAdmin 4. The AI Assistant's SQL query tool, designed for read-only operations, contains a vulnerability where a disagreement between its SQL validator and the PostgreSQL database parser allows for a transaction bypass. A remote attacker with low-privilege database write access can inject malicious SQL commands into database objects. When a higher-privileged pgAdmin user utilizes the AI Assistant against this compromised content, the injected commands can execute, leading to unauthorized data manipulation or arbitrary code execution on the database host.
Statement
Red Hat Product Security has determined that this vulnerability does not affect any currently supported Red Hat product. This assessment may evolve based on further analysis and discovery. For more information about this vulnerability and the products it affects, please see the linked references.
Understanding the Weakness (CWE)
Confidentiality,Integrity,Availability
Technical Impact: Execute Unauthorized Code or Commands
Adversaries could execute system commands, typically by changing the SQL statement to redirect output to a file that can then be executed.
Confidentiality
Technical Impact: Read Application Data
Since SQL databases generally hold sensitive data, loss of confidentiality is a frequent problem with SQL injection vulnerabilities.
Authentication
Technical Impact: Gain Privileges or Assume Identity; Bypass Protection Mechanism
If poor SQL commands are used to check user names and passwords or perform other kinds of authentication, it may be possible to connect to the product as another user with no previous knowledge of the password.
Access Control
Technical Impact: Bypass Protection Mechanism
If authorization information is held in a SQL database, it may be possible to change this information through the successful exploitation of a SQL injection vulnerability.
Integrity
Technical Impact: Modify Application Data
Just as it may be possible to read sensitive information, it is also possible to modify or even delete this information with a SQL injection attack.
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