To protect against unauthorized data mining, the IDPS must detect code injection attacks launched against application objects including, at a minimum, application URLs and application code.

Overview

Finding ID	Version	Rule ID	IA Controls	Severity
V-55407	SRG-NET-000319-IDPS-00185	SV-69653r1_rule		Medium

Description
Data mining is the analysis of large quantities of data to discover patterns and is used in intelligence gathering. Failure to detect attacks that use unauthorized data mining techniques to attack applications may result in the compromise of information. Injection attacks allow an attacker to inject code into a program or query or inject malware onto a computer to execute remote commands that can read or modify a database, or change data on a website. These attacks include buffer overrun, XML, JavaScript, and HTML injections. IDPS component(s) with anomaly detection must be included in the IDPS implementation. These components must include rules and anomaly detection algorithms to monitor for atypical application behavior, commands, and accesses.

Description

Data mining is the analysis of large quantities of data to discover patterns and is used in intelligence gathering. Failure to detect attacks that use unauthorized data mining techniques to attack applications may result in the compromise of information. Injection attacks allow an attacker to inject code into a program or query or inject malware onto a computer to execute remote commands that can read or modify a database, or change data on a website. These attacks include buffer overrun, XML, JavaScript, and HTML injections. IDPS component(s) with anomaly detection must be included in the IDPS implementation. These components must include rules and anomaly detection algorithms to monitor for atypical application behavior, commands, and accesses.

STIG	Date
Intrusion Detection and Prevention Systems (IDPS) Security Requirements Guide	2015-06-26

Details

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