PostgreSQL must check the validity of all data inputs except those specifically identified by the organization.

Overview

Finding ID	Version	Rule ID	IA Controls	Severity
V-233526	CD12-00-001800	SV-233526r961158_rule		Medium

Description
Invalid user input occurs when a user inserts data or characters into an application's data entry fields and the application is unprepared to process that data. This results in unanticipated application behavior, potentially leading to an application or information system compromise. Invalid user input is one of the primary methods employed when attempting to compromise an application. With respect to database management systems, one class of threat is known as SQL Injection, or more generally, code injection. It takes advantage of the dynamic execution capabilities of various programming languages, including dialects of SQL. Potentially, the attacker can gain unauthorized access to data, including security settings, and severely corrupt or destroy the database. Even when no such hijacking takes place, invalid input that gets recorded in the database, whether accidental or malicious, reduces the reliability and usability of the system. Available protections include data types, referential constraints, uniqueness constraints, range checking, and application-specific logic. Application-specific logic can be implemented within the database in stored procedures and triggers, where appropriate. This calls for inspection of application source code, which will require collaboration with the application developers. It is recognized that in many cases, the database administrator (DBA) is organizationally separate from the application developers, and may have limited, if any, access to source code. Nevertheless, protections of this type are so important to the secure operation of databases that they must not be ignored. At a minimum, the DBA must attempt to obtain assurances from the development organization that this issue has been addressed, and must document what has been discovered.

Description

Invalid user input occurs when a user inserts data or characters into an application's data entry fields and the application is unprepared to process that data. This results in unanticipated application behavior, potentially leading to an application or information system compromise. Invalid user input is one of the primary methods employed when attempting to compromise an application. With respect to database management systems, one class of threat is known as SQL Injection, or more generally, code injection. It takes advantage of the dynamic execution capabilities of various programming languages, including dialects of SQL. Potentially, the attacker can gain unauthorized access to data, including security settings, and severely corrupt or destroy the database. Even when no such hijacking takes place, invalid input that gets recorded in the database, whether accidental or malicious, reduces the reliability and usability of the system. Available protections include data types, referential constraints, uniqueness constraints, range checking, and application-specific logic. Application-specific logic can be implemented within the database in stored procedures and triggers, where appropriate. This calls for inspection of application source code, which will require collaboration with the application developers. It is recognized that in many cases, the database administrator (DBA) is organizationally separate from the application developers, and may have limited, if any, access to source code. Nevertheless, protections of this type are so important to the secure operation of databases that they must not be ignored. At a minimum, the DBA must attempt to obtain assurances from the development organization that this issue has been addressed, and must document what has been discovered.

STIG	Date
Crunchy Data PostgreSQL Security Technical Implementation Guide	2024-06-12

Details

Check Text ( C-36720r606801_chk )
Review PostgreSQL code (trigger procedures, functions), application code, settings, column and field definitions, and constraints to determine whether the database is protected against invalid input. If code exists that allows invalid data to be acted upon or input into the database, this is a finding. If column/field definitions do not exist in the database, this is a finding. If columns/fields do not contain constraints and validity checking where required, this is a finding. Where a column/field is noted in the system documentation as necessarily free-form, even though its name and context suggest that it should be strongly typed and constrained, the absence of these protections is not a finding. Where a column/field is clearly identified by name, caption, or context as Notes, Comments, Description, Text, etc., the absence of these protections is not a finding. Check application code that interacts with PostgreSQL for the use of prepared statements. If prepared statements are not used, this is a finding.

Check Text ( C-36720r606801_chk )

Review PostgreSQL code (trigger procedures, functions), application code, settings, column and field definitions, and constraints to determine whether the database is protected against invalid input.

If code exists that allows invalid data to be acted upon or input into the database, this is a finding.

If column/field definitions do not exist in the database, this is a finding.

If columns/fields do not contain constraints and validity checking where required, this is a finding.

Where a column/field is noted in the system documentation as necessarily free-form, even though its name and context suggest that it should be strongly typed and constrained, the absence of these protections is not a finding.

Where a column/field is clearly identified by name, caption, or context as Notes, Comments, Description, Text, etc., the absence of these protections is not a finding.

Check application code that interacts with PostgreSQL for the use of prepared statements. If prepared statements are not used, this is a finding.

Fix Text (F-36685r606802_fix)
Modify database code to properly validate data before it is put into the database or acted upon by the database. Modify the database to contain constraints and validity checking on database columns and tables that require them for data integrity. Use prepared statements when taking user input. Do not allow general users direct console access to PostgreSQL.