FCP_FAZ_AN-7.4: FCP - FortiAnalyzer 7.4 Analyst

The objective is to create a filter that identifies all login attempts to the FortiAnalyzer web interface (GUI) coming from Laptop1 (IP 10.1.1.100) and excludes the admin user. This filter should match any user other than admin.

Filter Components Analysis:

Operation-login: This portion of the filter will target login actions specifically, which is correct for filtering login attempts.

performed_on==''GUI(10.1.1.100)': This indicates that the login attempt must occur on the GUI interface and originate from the specified IP, which matches Laptop1's IP address (10.1.1.100). This ensures that the filter only matches GUI logins from this specific device.

user!=admin: This part excludes logins by the admin user, meeting the requirement to capture only non-admin users.

Option Analysis:

Option A: Correctly specifies the Operation-login, performed_on==''GUI(10.1.1.100)', and user!=admin. This setup effectively filters login attempts to the GUI from Laptop1, excluding the admin user.

Option B: Uses the incorrect IP 10.1.1.120 in the performed_on filter, which does not match Laptop1's IP (10.1.1.100).

Option C: This option includes srcip==10.1.1.100 and dstip==10.1.1.210 but incorrectly specifies user==admin instead of user!=admin, which does not match the requirement to exclude admin users.

Option D: This option does not specify the performed_on field to restrict it to the GUI and only includes dstip (destination IP) without srcip. It also incorrectly uses user!-admin instead of the correct syntax user!=admin.

Conclusion:

Correct Answe r : A. Operation-login and performed_on==''GUI(10.1.1.100)' and user!=admin

This filter precisely captures the required conditions: login attempts from Laptop1 to the GUI interface by any user except admin.

FortiAnalyzer 7.4.1 documentation on log filters, syntax for login operations, and GUI login tracking.

FortiAnalyzer has two primary operating modes: Analyzer mode and Collector mode. Each mode serves specific purposes and has distinct capabilities.

Option A - Forwarding Logs to a Syslog Server in Collector Mode:

In Collector mode, FortiAnalyzer collects logs from Fortinet devices but does not process or analyze them. Instead, it forwards the logs to other FortiAnalyzer units in Analyzer mode or to specific storage locations. However, forwarding logs to a syslog server is not a function of Collector mode. Logs are generally stored or sent to other FortiAnalyzer devices.

Conclusion: Incorrect.

Option B - Default Mode is Collector Mode Unless Configured for HA:

When a FortiAnalyzer is initially set up, it runs in Collector mode by default unless it is configured as part of a High Availability (HA) setup, which would set it to Analyzer mode. Collector mode prioritizes log collection and storage rather than analysis, offloading analysis to other devices in the network.

Conclusion: Correct.

Option C - Report Creation and Editing in Collector Mode:

In Collector mode, FortiAnalyzer does not have the capability to create or edit reports. This mode is focused solely on log collection and forwarding, with analysis and report generation left to FortiAnalyzer units operating in Analyzer mode.

Conclusion: Incorrect.

Option D - Performance Improvement with Both Modes in Topology:

Deploying FortiAnalyzer devices in both Collector and Analyzer modes in a network topology can enhance performance. Collector mode devices handle log collection, reducing the workload on Analyzer mode devices, which focus on log processing, analysis, and reporting. This separation of tasks can optimize resource usage and improve the overall efficiency of log management.

Conclusion: Correct.

Conclusion:

Correct Answe r : B. FortiAnalyzer runs in collector mode by default unless it is configured for HA and D. A topology with FortiAnalyzer devices running in both modes can improve their performance.

These answers correctly describe the functionality and default configuration of FortiAnalyzer operating modes, along with how a mixed-mode topology can enhance performance.

FortiAnalyzer 7.4.1 documentation on operating modes (Collector and Analyzer) and their respective capabilities.

In the exhibit, the playbook configuration shows the analyst working with the 'Attach Data' action within a playbook. Here's a breakdown of key aspects:

Incident ID: This field is linked to the 'Playbook Starter,' which indicates that the playbook will attach data to an existing incident.

Attachment: The analyst is configuring an attachment by selecting Run_REPORT with a placeholder ID for report_uuid. This suggests that the report's UUID will dynamically populate as part of the playbook execution.

Analysis of Options:

Option A - Creating a Trigger Variable:

A trigger variable would typically be set up in the playbook starter or initiation configuration, not within the 'Attach Data' action. The setup here does not indicate a trigger, as it's focusing on data attachment.

Conclusion: Incorrect.

Option B - Creating an Output Variable:

The field Attachment with a report_uuid placeholder suggests that the analyst is defining an output variable that will store the report data or ID, allowing it to be attached to the incident. This variable can then be referenced or passed within the playbook for further actions or reporting.

Conclusion: Correct.

Option C - Creating a Report in the Playbook:

While Run_REPORT is selected, it appears to be an attachment action rather than a report generation task. The purpose here is to attach an existing or dynamically generated report to an incident, not to create the report itself.

Conclusion: Incorrect.

Option D - Creating a SOC Report:

Similarly, this configuration is focused on attaching data, not specifically generating a SOC report. SOC reports are generally predefined and generated outside the playbook.

Conclusion: Incorrect.

Conclusion:

Correct Answe r : B. The analyst is trying to create an output variable to be used in the playbook.

The setup allows the playbook to dynamically assign the report_uuid as an output variable, which can then be used in further actions within the playbook.

FortiAnalyzer 7.4.1 documentation on playbook configurations, output variables, and data attachment functionalities.

In this output, we see two diagnostic commands executed on a FortiAnalyzer device:

diagnose fortilogd lograte: This command shows the rate at which logs are being processed by the FortiAnalyzer in terms of log entries per second.

diagnose fortilogd msgrate: This command displays the message rate, or the rate at which individual messages are being processed.

The values provided in the exhibit output show:

Log rate (lograte): Consistently high, showing values such as 70.0, 132.1, and 133.3 logs per second over different time intervals.

Message rate (msgrate): Lower values, around 1.4 to 1.6 messages per second.

Explanation:

Interpretation of log rate vs. message rate: In FortiAnalyzer, the log rate typically refers to the rate of logs being stored or indexed, while the message rate refers to individual messages within these logs. Given that a single log entry can contain multiple messages, it's common to see a lower message rate relative to the log rate.

Understanding normal operation: In this case, the message rate being lower than the log rate is expected and typical behavior. This discrepancy can arise because each log entry may bundle multiple related messages, reducing the message rate relative to the log rate.

Conclusion

Correct Answe r : A. The message rate being lower than the log rate is normal.

This aligns with the normal operational behavior of FortiAnalyzer in processing logs and messages.

There is no indication that both logs and messages are nearly finished indexing, as that would typically show diminishing rates toward zero, which is not the case here. Additionally, there's no information in this output about specific ADOMs or a comparison between traffic logs and event logs. Thus, options B, C, and D are incorrect.

FortiOS 7.4.1 and FortiAnalyzer 7.4.1 command guides for diagnose fortilogd lograte and diagnose fortilogd msgrate.

In the exhibit, we see a playbook in FortiAnalyzer designed to retrieve events based on specific criteria, create an incident, and attach relevant data to that incident. The 'Get Event' task configuration specifies filters to match any of the following conditions:

Severity = High

Event Type = Web Filter

Tag = Malware

Analysis of Events:

In the FortiAnalyzer Event Monitor list:

We need to identify events that meet any one of the specified conditions (since the filter is set to 'Match Any Condition').

Events Matching Criteria:

Severity = High:

There are two events with 'High' severity, both with the 'Event Type' IPS.

Event Type = Web Filter:

There are two events with the 'Event Type' Web Filter. One has a 'Medium' severity, and the other has a 'Low' severity.

Tag = Malware:

There are two events tagged with 'Malware,' both with the 'Event Type' Antivirus and 'Medium' severity.

After filtering based on these criteria, there are four distinct events:

Two from the 'Severity = High' filter.

One from the 'Event Type = Web Filter' filter.

One from the 'Tag = Malware' filter.

Conclusion:

Correct Answe r : D. Four events will be added.

This answer matches the conditions set in the playbook filter configuration and the events listed in the Event Monitor.

FortiAnalyzer 7.4.1 documentation on event filtering, playbook configuration, and incident management criteria.