How to Create an xPath Filter for a Data Collection Rule by info.odysseyx@gmail.com September 23, 2024 written by info.odysseyx@gmail.com September 23, 2024 0 comment 5 views 5 In the world of data collection, efficiency is key. Just as my miniature schnauzer friend Raven has a knack for ignoring the common odors and only smelling the most interesting ones, xPath filters can streamline data collection by focusing only on the most relevant information. This article will walk you through the process of writing xPath filters for your data collection rules so that your data ingestion is as efficient and effective as Raven’s nose. Imagine a raven walking around surrounded by a lot of scents. If she were to examine all of them, she would waste a lot of time and energy. Instead, she would selectively sniff the most interesting scents and focus her efforts on what is truly important. Similarly, xPath filters help you avoid unnecessary data, so you can focus on the specific information you need. After completing this guide, you will be able to create xPath filters that reduce data inflow and improve the overall efficiency of your data collection process. Capturing Windows event logs is a cornerstone of effective security monitoring. It provides detailed event records for a variety of logs, including but not limited to system, application, security, application, and service event logs. By capturing these logs, organizations can monitor suspicious activity, detect potential security breaches, and comply with regulatory requirements. The detailed information contained in these logs helps security teams identify patterns and anomalies that may indicate malicious behavior, enabling a proactive approach to threat detection and response. One of the key benefits of capturing Windows event logs is the ability to provide real-time visibility into activities occurring within your IT environment. This visibility is critical to quickly identifying and responding to security incidents. For example, logs may reveal unauthorized access attempts, changes to critical system files, or unusual network traffic patterns. By analyzing these logs, security teams can quickly identify the root cause of the problem and take appropriate action to mitigate the risk. However, the sheer volume of data generated in Windows event logs can be overwhelming. This is where xPath filters come into play. xPath, or XML Path Language, is a powerful tool for querying and filtering XML data. When applied to Windows event logs, xPath filters help security teams focus on the most relevant events, reducing noise and making it easier to identify critical security incidents. Using xPath filters, organizations can create custom queries that extract specific information from logs, such as failed login attempts, changes in user permissions, specific error codes, or events related to specific applications such as Microsoft Exchange or SQL Server. Using xPath filters not only increases the efficiency of log analysis, but also improves the accuracy of threat detection. By narrowing down the data to only the most relevant events, security teams can reduce false positives and focus their efforts on real threats. This targeted approach ensures that critical security incidents are not overlooked in a sea of irrelevant data. Additionally, xPath filters can be customized to meet the unique needs of an organization, allowing for a highly customized and effective log monitoring solution. In essence, capturing Windows event logs is an invaluable tool for maintaining the security and integrity of your IT environment. By leveraging xPath filters, organizations can optimize their log analysis processes to quickly and accurately identify and respond to security threats. Just as my miniature schnauzer Raven efficiently sniffs out the most interesting smells, xPath filters help security teams focus on the most important events, improving their ability to protect systems and data. This article provides instructions on how to create an xPath filter for a Data Collection Rule (DCR) in the Azure Monitoring Agent (AMA). DCR is used to create a filter on a user-defined event ID in the Windows Event Log. The xPath filter you create can be applied to all Windows (Azure, Hybrid, and Azure Arc) devices. The collected events are then sent to an Azure Monitor, Log Analytics Workspace table named “EVENT”. To get started, the user must define a list of Windows event logs to capture and the event IDs within those logs. There is an option to collect all event IDs, but this is not recommended unless you specifically need it. All data collected and stored consumes storage space, which incurs a cost for the data being ingested and stored. For the examples in this article, collect the following event IDs from the event log: security system Powershell root powershell Operational PowerShell If you want to see where these entries are in the event log, you can find them by taking a screen capture. Start Windows Event Viewer Drill down into Event Viewer to find each event log. To create an xPath filter, you can use the build support in the Event Log Viewer. Right-click on the Event Log log and select “Filter Current Log”. A window like this will appear (there are two tabs available): In the “Filter” tab, enter the event IDs, separating each ID with a comma. Select the “XML” tab To convert an event log filter into DCR’s xPath format, you need to perform the following steps: Looking at the first screen capture above (highlighted in red): security“> Copy the name in quotes security addition “!” As a result of the previous security! Looking at the second screen capture above (highlighted in red): *[System[(EventID=1102 or EventID=4624)]] Copy everything between two greater than and less than symbols to the previous result. security!*[System[(EventID=1102 or EventID=4624)]] As a result, an xPath filter was created that can be used with DCR (created later). Note 1: Additional EventIDs can be added to the filter by simply inserting “or EventID=9999” before the closing parenthesis “)” within the xPath filter. Note 2: To capture all events in the log, you need to complete only the first two items above, and add “*” to include all events. security!* Repeat the above process for each event log you want to capture/filter. A full list of xPath filters in the example you will use can be found below. Save the xPath definition to a text file that will be used later in the DCR generation process. security!*[System[(EventID=1102 or EventID=4624)]] system!*[System[(EventID=111 or EventID=113 or EventID=117)]] Windows Powershell!*[System[(EventID=400)]] Microsoft-Windows-PowerShell/Operations!*[System[(EventID=4103 or EventID=4104)]] Create a new DCR to capture data Find out https://portal.azure.com > “Monitor” Settings > Data Collection Rules Creating data collection rules Select “+ Create” In the “Basic” tab, enter the “Rule Name”, “Subscription”, “Resource Group”, “Region”, and Windows. In this demo, using the “Data Collection Endpoint” is optional. In the “Resources” tab, select “Add Resource” Explore resources to apply this DCR. In the “Collect and Deliver” tab Select “+ Add Data Source” Copy and paste each xPath filter one by one in the sub-tab “Data Sources”. Press “Add” after each paste. Once all the xPaths are added, they should now appear below the item line as seen in the example below. In the sub-tab ‘Target’, enter ‘Target Type’, ‘Subscription’ and ‘Target Details’. “Target Details”, the Log Analytics workspace is where the event ID details are sent within Azure. Enter the required tags Review “Review and Create” and if everything looks good, select “Create”. The new rule will now be reflected in the Data Collection Rules blade. When usingcustom” xPath Filter, “Basic” tab is reflected as if nothing is defined. Please check “Custom”/“Data Source” tab to see the filter. After you create this DCR (xPath filter), the device it is defined on will soon start sending EventID activities to the “Events” table within your Log Analytics workspace. To verify that DCR has been applied to a device, you can review the device’s definition using the following PowerShell command: From a PowerShell command prompt, run: memo: The xml output will be saved in c:\temp. Make sure the path exists before running the script below. Connect-Az Account $SubscriptionID = “————————————-“ Set-AzContext -Subscription ID $Subscription ID $resourceGroupName = “RG-Security” $dcrName = “Customer-specific rule set” # Get the data collection rules and output them to a file. Get-AzDataCollectionRule -ResourceGroupName $resourceGroupName -Name $dcrName -SubscriptionId $subscriptionId | ConvertTo-Xml -As String -Depth 3 | Out-File -FilePath “C:\temp\dcr.xml” Write-Host “Data collection rule details were written to C:\temp\dcr.xml.” If you look at dcr.xml, you’ll see the following: Once DCR is applied and events start being pushed, you can now find them in the “Events” table. Event Table Query You can now query data in Azure Monitor > Logs. Simple question: event | Project TimeGenerated, Source, EventLog, EventID You can see that all EventIDs associated with the event log name are populated within the query. This example only outputs four columns, but this was done to simplify the display. Review the schema for the full set of available columns. In conclusion, just as a raven efficiently finds the most interesting scents while walking, xPath filters can help streamline data collection by focusing on the most relevant information. Applying the techniques described in this article can help reduce data inflow and make the data collection process efficient and effective. The key to a successful xPath filter is precision and selectivity, just like Raven’s keen sense of smell. These techniques allow you to navigate vast amounts of data and extract only what you need, saving you time and resources. Happy filtering! 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