F5BI-AS-000165 - To protect against data mining, The BIG-IP ASM module must be configured to detect SQL injection attacks launched against data storage objects, including, at a minimum, databases, database records, and database fields when providing content filtering to virtual servers.

Information

Data mining is the analysis of large quantities of data to discover patterns and is used in intelligence gathering. Failure to detect attacks launched against organizational databases may result in the compromise of information.

SQL injection attacks are the most prevalent attacks against web applications and databases. These attacks inject SQL commands that can read, modify, or compromise the meaning of the original SQL query. An attacker can spoof identity; expose, tamper, destroy, or make existing data unavailable; or gain unauthorized privileges on the database server.

ALGs with anomaly detection must be configured to protect against unauthorized data mining attacks. These devices must include rules and anomaly detection algorithms to monitor for atypical database queries or accesses. Examples include Web Application Firewalls (WAFs) or database application gateways.

NOTE: Nessus has provided the target output to assist in reviewing the benchmark to ensure target compliance.

Solution

If the BIG-IP ASM module is used to support content filtering as part of the traffic management functionality of the BIG-IP Core, configure the BIG-IP ASM module to detect SQL injection attacks launched against data storage objects, including, at a minimum, databases, database records, and database fields.

See Also

https://dl.dod.cyber.mil/wp-content/uploads/stigs/zip/U_F5_BIG-IP_Y24M01_STIG.zip

Item Details

Category: ACCESS CONTROL

References: 800-53|AC-23, CAT|II, CCI|CCI-002347, Rule-ID|SV-214512r831456_rule, STIG-ID|F5BI-AS-000165, STIG-Legacy|SV-74513, STIG-Legacy|V-60083, Vuln-ID|V-214512

Plugin: F5

Control ID: a3ecf05b953421e7a2d5e04ee4d5becaf65c6f64798b88be3322ddb0532f7f50