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Trend Micro TippingPoint IDPS Security Technical Implementation Guide
SRG-NET-000318-IDPS-00183
To protect against unauthorized data mining, the TPS must prevent SQL injection attacks launched against data storage objects, including, at a minimum, databases, database records, and database fields.
To protect against unauthorized data mining, the TPS must prevent SQL injection attacks launched against data storage objects, including, at a minimum, databases, database records, and database fields. An XCCDF Rule
To protect against unauthorized data mining, the TPS must prevent SQL injection attacks launched against data storage objects, including, at a minimum, databases, database records, and database fields.
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 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.
TPS component(s) with the capability to prevent SQL code injections must be included in the IDPS implementation to protect against unauthorized data mining. These components must include rules and anomaly detection algorithms to monitor for SQL injection attacks.</VulnDiscussion><FalsePositives></FalsePositives><FalseNegatives></FalseNegatives><Documentable>false</Documentable><Mitigations></Mitigations><SeverityOverrideGuidance></SeverityOverrideGuidance><PotentialImpacts></PotentialImpacts><ThirdPartyTools></ThirdPartyTools><MitigationControl></MitigationControl><Responsibility></Responsibility><IAControls></IAControls>