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
Description
<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>
- ID
- SV-242171r856973_rule
- Severity
- Medium
- References
- Updated
Remediation - Manual Procedure
1. In the Trend Micro SMS, navigate to "Profiles" and "Inspection Profiles" and select the organization's profile.
2. If there is not one configured, select "Default".
3. Click "Search".
4. Under "Filter criteria", select all "Filter categories". Select the "Filter Name" section and type "database", and select HTTP under "Filter Taxonomy Criteria as the Protocol".
5. Ensure all items in the search results have "Use Category Settings" selected.