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Trend Micro TippingPoint IDPS Security Technical Implementation Guide
SRG-NET-000319-IDPS-00185
To protect against unauthorized data mining, the TPS must detect code injection attacks launched against application objects including, at a minimum, application URLs and application code.
To protect against unauthorized data mining, the TPS must detect code injection attacks launched against application objects including, at a minimum, application URLs and application code. An XCCDF Rule
To protect against unauthorized data mining, the TPS must detect code injection attacks launched against application objects including, at a minimum, application URLs and application code.
Medium Severity
<VulnDiscussion>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.
TPS 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.</VulnDiscussion><FalsePositives></FalsePositives><FalseNegatives></FalseNegatives><Documentable>false</Documentable><Mitigations></Mitigations><SeverityOverrideGuidance></SeverityOverrideGuidance><PotentialImpacts></PotentialImpacts><ThirdPartyTools></ThirdPartyTools><MitigationControl></MitigationControl><Responsibility></Responsibility><IAControls></IAControls>