C1000-162 Exam Dumps - IBM Security QRadar SIEM V7.5 Analysis

Behavioral rule test parameters in QRadar SIEM are crucial for configuring how anomaly detection functions within rules. Here's a breakdown of each parameter:

Season: This is the most important parameter. It defines the historical time period used to establish a baseline of "normal" behavior. Consider the nature of the traffic you're monitoring when choosing a season:

Network traffic with human interaction: A season of 1 week might be appropriate.

Daily patterns: A season of 24 hours would be more suitable.

Current traffic level: Represents the current value of the property being monitored by the rule (e.g., number of login failures, bandwidth usage, etc.).

Predicted value: This is an estimation of what the traffic level "should" be, based on the established season and historical trends.

How the Parameters Work Together

Behavioral rules primarily identify deviations between the Current traffic level and the Predicted value within the context of the defined Season. Significant discrepancies can trigger alerts.

References

IBM Security QRadar Documentation - Anomaly Detection Rules: (https://www.ibm.com/docs/en/qradar-on-cloud?topic=rules-anomaly-detection ). Search for "behavioral rule test parameter options" within the relevant documentation for QRadar SIEM V7.5.

In the Dynamic Search window on the Admin tab of QRadar, the available data sources include "Assets" and "Offenses." These options allow administrators and analysts to construct queries based on asset information or offense data, enabling targeted searches and analyses tailored to specific security concerns within the organization​​.

Indexing Principle: QRadar creates indexes on default properties to quickly locate data matching your queries.

Lookup vs. Scan: Instead of scanning all raw data, QRadar utilizes the index like a 'phonebook' for targeted lookups.

Optimization: Searching using indexed properties dramatically decreases the amount of data QRadar needs to process.

Use Case Manager: This app is specifically designed for investigation and analysis of offenses within QRadar. It offers more focused tools for this task than general Reports.

Active Rules: This view within the Use Case Manager provides insights into rules that directly triggered offenses. This is essential for filtering down to our target rules.

Filtering:

Start Date: Allows you to limit the analysis timeframe to the "previous week" as specified in the question.

Closure Reason: Crucially, this lets you isolate offenses marked as "False Positive" or "Tuned" – the core of the question.

In IBM Security QRadar SIEM V7.5, to search for all events containing a specific keyword such as "access", an analyst should navigate to the "Log Activity" tab. This section of the QRadar interface is dedicated to viewing and analyzing log data collected from various sources. By running a quick search with the "access" keyword in the Log Activity tab, the analyst can filter out events that contain this term in any part of the log data. This functionality is crucial for identifying specific activities or incidents within the vast amounts of log data QRadar processes, allowing analysts to quickly hone in on relevant information for further investigation or action.

QRadar uses a red star icon to visually identify events that directly contributed to triggering an offense. These events fully matched all the criteria specified in the rule that generated the offense.

Partially matched events may also be associated with the offense (especially for rules using match counts), but they won't have the red star. These events are still valuable for providing context during investigations.

Here's a breakdown of reference data collections in QRadar:

Primary Types:

Reference Set: Holds a list of unique values (e.g., IPs, domain names).

Reference Map: Maps a unique key to a single value.

Reference Map of Sets: Maps a unique key to a set of values.

QRadar supports generating reports in various file formats, including PDF, HTML, XML, and XLS. These formats provide flexibility in how reports are viewed and shared, catering to different needs and preferences for report presentation and analysis​​.

Indexing: QRadar indexes certain fields to create a structured way to quickly locate matching data.

Search Optimization: Including indexed fields in queries allows QRadar to leverage pre-built indexes rather than scanning all data.

Filtering: A well-constructed search with indexed fields significantly narrows the dataset, speeding up operations.

Event Details Page in QRadar: The event details page in QRadar provides comprehensive information about each event, including metadata, payload, and correlation details.

Checking Fully Matched Rules:

The event details page includes a section that lists all the rules that were fully matched for that specific event.

This information is crucial for analysts to understand why an event was flagged and how it contributes to the overall offense.

Navigating to Event Details:

To view the event details page, an analyst can click on the event from the offense details or directly from the event list.

Within the event details, the matched rules are typically listed under the "Rules" or "Correlation" section.

Reference Confirmation: According to IBM QRadar documentation, the event details page is the location where analysts can see which rules were fully matched for a specific event.

References:

IBM QRadar documentation on event investigation and details page layout confirms that fully matched rules are displayed on the event details page .

To perform an IP address X-Force Exchange Lookup in QRadar, you can follow these steps2:

Select the Log Activity or the Network Activity tab.

Right-click the IP address that you want to view in X-Force Exchange.

Select More Options > Plugin Options > X-Force Exchange Lookup to open the X-Force Exchange interface2.

The procedure to perform an IP address X-Force Exchange Lookup in QRadar involves selecting either the Log Activity or the Network Activity tab, right-clicking the IP address of interest, and then navigating through More Options > Plugin Options > X-Force Exchange Lookup to access the X-Force Exchange interface​​.

The Domain attribute governs who can view the value of a reference set data element, ensuring that only users with appropriate domain access or tenant assignments can view the data. This is essential for maintaining data visibility and access control within a multi-tenant QRadar environment​​.

Threshold rules in QRadar are designed to test events or flows for activities that are greater than or less than a specified range. These rules are particularly useful for detecting significant changes such as bandwidth usage variations, failed services, changes in the number of connected users, and large outbound data transfers. By setting acceptable limits within threshold rules, administrators can effectively monitor for and respond to abnormal activities within the network​​.

X-Force Exchange: The primary repository for contributed QRadar content, including compliance-focused content packs.

HIPAA Packs: Likely contain:

Predefined searches: Relevant to HIPAA monitoring and auditing

Reports: To generate structured documentation for compliance

Custom Rules: To detect potential HIPAA-related violations

Custom properties: To enhance event/flow data for HIPAA context

Other Options (less suitable):

Use Case Manager: Broader purpose, might include HIPAA use cases

Pulse App: Primarily dashboard oriented, not focused on content distribution

IBM Fix Central: Focuses on software fixes, not compliance content

References:

IBM X-Force Exchange: https://exchange.xforce.ibmcloud.com/hub  (Search for HIPAA)

Indexed custom event properties in IBM Security QRadar SIEM are designed to optimize the search process by narrowing down the overall data set. When a property is indexed, QRadar can more efficiently locate events or flows that match the search criteria, thereby reducing the overall volume of data that needs to be searched and enhancing performance. This is reflected in statement B, where indexed filters eliminate portions of the data set that are not relevant to the search query, effectively reducing the number of event or flow logs that must be examined .

Moreover, the use of indexed event and flow properties for optimizing searches is a recommended practice in QRadar. By selectively indexing properties that are frequently used in searches, analysts can significantly improve the speed and efficiency of their queries. This approach is beneficial in environments where quick access to specific event or flow data is crucial for timely threat detection and response. Therefore, statement E highlights the importance of utilizing indexed properties to streamline the search process and facilitate more effective security analytics .

When investigating an offense in QRadar, finding the number of flows or events associated with it can be achieved through the "List Events/Flows" option. This functionality allows analysts to view a detailed list of all the individual events and flows that are related to a specific offense, offering insights into the nature and scope of the activities involved. By examining this list, analysts can better understand the context of the offense, including the types of network traffic and system actions that triggered the security alerts, facilitating a more informed investigation process.

In IBM Security QRadar SIEM V7.5, custom rules play a crucial role in detecting and responding to potential security threats. These rules can be created from various tabs within the QRadar interface, offering flexibility in how and where analysts choose to define their custom detection logic. Specifically, custom rules can be created from the Offenses, Log Activity, or Network Activity tabs. From the Offenses tab, analysts can create rules that are triggered by specific offense characteristics or patterns. The Log Activity and Network Activity tabs allow for the creation of rules based on observed events or network flows, respectively. This multi-faceted approach to rule creation enables analysts to tailor their detection strategies to different aspects of their environment, leveraging the rich data and insights provided by QRadar to identify and mitigate threats effectively.

The MITRE heat map in the Use Case Manager app within QRadar uses several factors to determine the colors displayed, among which the number of rules mapped to MITRE ATT&CK tactics and techniques and the level of mapping confidence are crucial. These factors help visualize the coverage and reliability of rule mappings against the comprehensive MITRE ATT&CK framework, aiding in the identification of potential gaps or areas for improvement in threat detection capabilities​​.

Here's why this is the most effective approach:

False Positive Reduction: The goal is to stop legitimate traffic from triggering offenses. This requires fine-tuning the rules generating those offenses.

Building Blocks: Rules are housed within building blocks in QRadar's hierarchical rule structure. The Custom Rules Editor is the tool to modify them.

Event-Based Tuning: The optimal approach is to target the specific event that's causing the false positives, making the solution more precise.

Quick Filter Behavior: The Quick Filter heavily restricts search results to items matching the keywords you've entered. If your valid AQL doesn't match the Quick Filter, you won't get results.

Disabling to Verify: The easiest way to confirm this is to temporarily disable the Quick Filter and rerun your AQL search.

When an analyst right-clicks on the Source IP or Destination IP that is associated with an offense at the Offense Summary in QRadar, two of the top-level options are DNS Lookup and WHOIS Lookup1. These options provide additional information about the IP address, such as its domain name (DNS Lookup) and registration information (WHOIS Lookup)1.

Understanding Login ID Verification: Verifying whether a login ID is assigned to a user involves checking a mapping of login IDs to user records. This process requires a data structure that can map unique login IDs to user information.

Suitable Reference Data Collection:

Reference Map of Maps: Used for storing nested key-value pairs but more complex than needed for simple login ID verification.

Reference Login: Not a standard reference data collection in QRadar.

Reference Map: Ideal for mapping login IDs (unique keys) to user details (values).

Reference Set: Stores unique values but does not map them to any associated data.

Using Reference Map: The reference map is the appropriate choice as it allows for direct mapping of each login ID to corresponding user details. This structure facilitates efficient verification processes.

Reference Confirmation: According to IBM QRadar documentation, using a reference map to associate login IDs with user details is a standard approach for verifying user assignments.

References:

IBM QRadar documentation on reference data collections indicates the use of reference maps for mapping unique identifiers like login IDs to user records.

IOCs and Reference Sets: Reference sets are specifically designed to store lists of Indicators of Compromise (IOCs) like IP addresses, domain names, file hashes, etc.

Correlation and Matching: QRadar can match events and flows against data in reference sets, triggering rules or alerts when suspicious activity is detected.

QRadar will mark an Event offense as dormant if no new events or flows occur within 30 minutes. However, if QRadar did not process any events within 4 hours, this also triggers the offense to become dormant. Once dormant, the offense remains in this state for 5 days unless new events or flows are added​​​​.

Report Data Source: To generate a report focused on offense data, you must explicitly select "Offense" as the data source. This tells QRadar to structure the report around offense information.

Edit Search: The "Edit Search" interface often provides the ability to configure report generation.

When deleting a generated content report in QRadar, all reports that were generated from the report template are deleted, but the report template itself is retained. This ensures that the structure for generating future reports remains intact, while only the instances of reports generated from that template are removed​​.

Key-Value Mapping: You need to associate each patent ID (key) with multiple usernames (values).

Sets: The ability to store multiple values per key is a core feature of reference maps of sets.

Unique Keys: QRadar requires unique keys within reference sets collections.

In configuring the frequency of report execution in the QRadar Report wizard, users have several scheduling options to automate or manually initiate report generation. Among the options provided, "Monthly" (C) and "Manually" (E) are valid choices within the QRadar environment. The "Monthly" option allows users to schedule reports to run at specific intervals each month, providing regular insights into the security posture and events within the monitored environment. The "Manually" option gives users the flexibility to generate reports on an ad-hoc basis, depending on specific needs or investigative activities, without adhering to a predetermined schedule .

Parsing Failure: A JSON parser error implies QRadar couldn't correctly extract structured data from the raw log messages created by the custom extension.

Fallback - CRE: QRadar defaults to storing unparseable events as CRE, preserving the raw log message but losing structured fields.

Troubleshooting: CRE events indicate the need to fix the log source extension's JSON parsing.

Context Menu: Right-clicking on an IP address in the Offense Summary window offers quick investigation actions.

IP-Related Tools: WHOIS and DNS Lookups are essential tools for:

WHOIS: Retrieving IP registration information (owner, contact details, etc.). DNS: Resolving domain names associated with the IP.

On the Offenses tab within QRadar, the "Offense Type" column explains the cause of the offense. The offense type is determined by the rule that triggered the offense, and it dictates the kind of information displayed in the Offense Source Summary pane. This helps analysts understand the nature and origin of the offense, facilitating more effective investigation and response actions​​.

In the Reports tab of QRadar, the message "Queued (position in the queue)" indicates that the report is queued for generation. The message provides the position of the report within the generation queue, which helps users understand the report's status and expected generation time​