F5BI-AS-000163 - To protect against data mining, The BIG-IP ASM module must be configured to detect code injection attacks from being launched against data storage objects, including, at a minimum, databases, database records, queries, and 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.

Injection attacks allow an attacker to inject code into a program or query or inject malware into a computer to execute remote commands that can read or modify a database or change data on a website. Web applications frequently access databases to store, retrieve, and update information. An attacker can construct inputs that the database will execute. This is most commonly referred to as a code injection attack. This type of attack includes XPath and LDAP injections.

ALGs with anomaly detection must be configured to protect against unauthorized code injections. 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 code injection attacks launched against data storage objects, including, at a minimum, databases, database records, queries, and fields.

See Also

https://dl.dod.cyber.mil/wp-content/uploads/stigs/zip/U_F5_BIG-IP_11-x_Y20M10_STIG.zip

Item Details

Category: SYSTEM AND INFORMATION INTEGRITY

References: 800-53|SI-4(4), CAT|II, CCI|CCI-002347, Rule-ID|SV-74511r1_rule, STIG-ID|F5BI-AS-000163, Vuln-ID|V-60081

Plugin: F5

Control ID: 4db9a10a0f72b977631a5945daecbf02ef2882042a573df7b611478f3f014a8b