SQL4-00-037500 - SQL Server must generate Trace or Audit records when successful logons or connections occur.

Information

For completeness of forensic analysis, it is necessary to track who/what (a user or other principal) logs on to SQL Server.

Use of SQL Server Audit is recommended. All features of SQL Server Audit are available in the Enterprise and Developer editions of SQL Server 2014. It is not available at the database level in other editions. For this or legacy reasons, the instance may be using SQL Server Trace for auditing, which remains an acceptable solution for the time being. Note, however, that Microsoft intends to remove most aspects of Trace at some point after SQL Server 2016.

Solution

Where SQL Server Trace is in use, define and enable a trace that captures all auditable events. The script provided in the supplemental file Trace.sql can be used to do this.

Where SQL Server Audit is in use, design and deploy a SQL Server Audit that captures all auditable events. The script provided in the supplemental file Audit.sql can be used for this.

To add the necessary data capture to an existing server audit specification, run the script:
USE [master];
GO
ALTER SERVER AUDIT SPECIFICATION <server_audit_specification_name> WITH (STATE = OFF);
GO
ALTER SERVER AUDIT SPECIFICATION <server_audit_specification_name> ADD (SUCCESSFUL_LOGIN_GROUP);
GO
ALTER SERVER AUDIT SPECIFICATION <server_audit_specification_name> WITH (STATE = ON);
GO

Alternatively, enable 'Both failed and successful logins'.
In SQL Management Studio:
Right-click on the instance.
>> Select 'Properties'.
>> Select 'Security' on the left side.
>> Select 'Both failed and successful logins'.
>> Click 'OK'.

See Also

https://dl.dod.cyber.mil/wp-content/uploads/stigs/zip/U_MS_SQL_Server_2014_Y24M07_STIG.zip

Item Details

Category: AUDIT AND ACCOUNTABILITY

References: 800-53|AU-12c., CAT|II, CCI|CCI-000172, Rule-ID|SV-213887r961824_rule, STIG-ID|SQL4-00-037500, STIG-Legacy|SV-82419, STIG-Legacy|V-67929, Vuln-ID|V-213887

Plugin: MS_SQLDB

Control ID: 750b32e5f8199225f77741829c4cb39c3aaf89657230cef04fc8046279b1a687