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質問 # 83
Refer to Exhibit:
You are tasked with reviewing a new FortiAnalyzer deployment in a network with multiple registered logging devices. There is only one FortiAnalyzer in the topology.
Which potential problem do you observe?
正解：B
解説：
* Understanding FortiAnalyzer Data Policy and Disk Utilization:
* FortiAnalyzer uses data policies to manage log storage, retention, and disk utilization.
* The Data Policy section indicates how long logs are kept for analytics and archive purposes.
* The Disk Utilization section specifies the allocated disk space and the proportions used for analytics and archive, as well as when alerts should be triggered based on disk usage.
* Analyzing the Provided Exhibit:
* Keep Logs for Analytics: 60 Days
* Keep Logs for Archive: 120 Days
* Disk Allocation: 300 GB (with a maximum of 441 GB available)
* Analytics: Archive Ratio: 30% : 70%
* Alert and Delete When Usage Reaches: 90%
* Potential Problems Identification:
* Disk Space Allocation: The allocated disk space is 300 GB out of a possible 441 GB, which might not be insufficient if the log volume is high, but it is not the primary concern based on the given data.
* Analytics-to-Archive Ratio: The ratio of 30% for analytics and 70% for archive is unconventional. Typically, a higher percentage is allocated for analytics since real-time or recent data analysis is often prioritized. A common configuration might be a 70% analytics and 30% archive ratio. The misconfigured ratio can lead to insufficient space for analytics, causing issues with real-time monitoring and analysis.
* Retention Periods: While the retention periods could be seen as lengthy, they are not necessarily indicative of a problem without knowing the specific log volume and compliance requirements.
The length of these periods can vary based on organizational needs and legal requirements.
* Conclusion:
* Based on the analysis, the primary issue observed is the analytics-to-archive ratio being misconfigured. This misconfiguration can significantly impact the effectiveness of the FortiAnalyzer in real-time log analysis, potentially leading to delayed threat detection and response.
References:
Fortinet Documentation on FortiAnalyzer Data Policies and Disk Management.
Best Practices for FortiAnalyzer Log Management and Disk Utilization.
質問 # 84
Refer to the exhibits.
What can you conclude from analyzing the data using the threat hunting module?
正解：C
解説：
* Understanding the Threat Hunting Data:
* The Threat Hunting Monitor in the provided exhibits shows various application services, their usage counts, and data metrics such as sent bytes, average sent bytes, and maximum sent bytes.
* The second part of the exhibit lists connection attempts from a specific source IP (10.0.1.10) to a destination IP (8.8.8.8), with repeated "Connection Failed" messages.
* Analyzing the Application Services:
* DNS is the top application service with a significantly high count (251,400) and notable sent bytes (9.1 MB).
* This large volume of DNS traffic is unusual for regular DNS queries and can indicate the presence of DNS tunneling.
* DNS Tunneling:
* DNS tunneling is a technique used by attackers to bypass security controls by encoding data within DNS queries and responses. This allows them to extract data from the local network without detection.
* The high volume of DNS traffic, combined with the detailed metrics, suggests that DNS tunneling might be in use.
* Connection Failures to 8.8.8.8:
* The repeated connection attempts from the source IP (10.0.1.10) to the destination IP (8.8.8.8) with connection failures can indicate an attempt to communicate with an external server.
* Google DNS (8.8.8.8) is often used for DNS tunneling due to its reliability and global reach.
* Conclusion:
* Given the significant DNS traffic and the nature of the connection attempts, it is reasonable to conclude that DNS tunneling is being used to extract confidential data from the local network.
* Why Other Options are Less Likely:
* Spearphishing (A): There is no evidence from the provided data that points to spearphishing attempts, such as email logs or phishing indicators.
* Reconnaissance (C): The data does not indicate typical reconnaissance activities, such as scanning or probing mail servers.
* FTP C&C (D): There is no evidence of FTP traffic or command-and-control communications using FTP in the provided data.
SANS Institute: "DNS Tunneling: How to Detect Data Exfiltration and Tunneling Through DNS Queries" SANS DNS Tunneling OWASP: "DNS Tunneling" OWASP DNS Tunneling By analyzing the provided threat hunting data, it is evident that DNS tunneling is being used to exfiltrate data, indicating a sophisticated method of extracting confidential information from the network.
質問 # 85
Refer to Exhibit:
A SOC analyst is designing a playbook to filter for a high severity event and attach the event information to an incident.
Which local connector action must the analyst use in this scenario?
正解：D
解説：
* Understanding the Playbook Requirements:
* The SOC analyst needs to design a playbook that filters for high severity events.
* The playbook must also attach the event information to an existing incident.
* Analyzing the Provided Exhibit:
* The exhibit shows the available actions for a local connector within the playbook.
* Actions listed include:
* Update Asset and Identity
* Get Events
* Get Endpoint Vulnerabilities
* Create Incident
* Update Incident
* Attach Data to Incident
* Run Report
* Get EPEU from Incident
* Evaluating the Options:
* Get Events:This action retrieves events but does not attach them to an incident.
* Update Incident:This action updates an existing incident but is not specifically for attaching event data.
* Update Asset and Identity:This action updates asset and identity information, not relevant for attaching event data to an incident.
* Attach Data to Incident:This action is explicitly designed to attach additional data, such as event information, to an existing incident.
* Conclusion:
* The correct action to use in the playbook for filtering high severity events and attaching the event information to an incident isAttach Data to Incident.
References:
Fortinet Documentation on Playbook Actions and Connectors.
Best Practices for Incident Management and Playbook Design in SOC Operations.
質問 # 86
Using the default data ingestion wizard in FortiSOAR, place the incident handling workflow from FortiSIEM to FortiSOAR in the correct sequence. Select each workflow component in the left column, hold and drag it to a blank position in the column on the right. Place the four correct workflow components in order, placing the first step in the first position at the top of the column.
正解：
解説：
Explanation:
Step 1: FortiSIEM event log
Step 2: FortiSIEM incident
Step 3: FortiSOAR alert
Step 4: FortiSOAR incident
Exact Extract: "FortiSIEM: Event: An event refers to a single log or data point collected from a monitored device. It's the most basic unit of information received by FortiSIEM, such as a firewall log or a system alert." The guide also states: "Incident: An incident in FortiSIEM is created when a correlation rule is triggered." Exact Extract: "This slide explains how to map fields between FortiSIEM incidents and FortiSOAR alerts during the ingestion process. Use the wizard to define how FortiSIEM data populates FortiSOAR alert fields." Exact Extract: "FortiSOAR ingests FortiSIEM incidents as alerts... If the alert is not a valid threat, then the analyst can close it as a false positive. Otherwise, the analyst can open an incident." The correct sequence is FortiSIEM event log # FortiSIEM incident # FortiSOAR alert # FortiSOAR incident.
FortiSIEM first receives raw event logs from monitored devices. If those events match a correlation rule, FortiSIEM creates a FortiSIEM incident. The FortiSOAR default data ingestion wizard then ingests FortiSIEM incidents into FortiSOAR as alerts, not as FortiSOAR incidents directly. After triage and validation, the analyst or playbook can escalate the alert into a FortiSOAR incident.
Technical Deep Dive: FortiSIEM and FortiSOAR use different object models. FortiSIEM "incident" means a correlation result from event analytics. FortiSOAR "alert" is the first SOAR-side record created from that SIEM incident. FortiSOAR "incident" is a higher-level case-management container used after validation. This separation is intentional: not every SIEM incident deserves full incident-response handling. FortiGate NP/CP offloading is irrelevant because this workflow is log ingestion and case orchestration, not firewall packet acceleration.
質問 # 87
Refer to the exhibit.
You are trying to find traffic flows to destinations that are in Europe or Asia, for hosts in the local LAN segment. However, the query returns no results. Assume these logs exist on FortiSIEM.
Which three mistakes can you see in the query shown in the exhibit? (Choose three answers)
正解：A、B、E
解説：
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
Analyzing theQuery Configurationexhibit in the context of FortiSIEM 7.3 search logic reveals several syntax and logical errors that prevent the query from returning results:
* Logical Operator Error (E):The user intends to find traffic to EuropeORAsia. In the exhibit, the first row (Group: Europe) is followed by a defaultANDoperator. This forces the query to look for a single flow where the destination is simultaneously in Europe and Asia, which is logically impossible. It must be changed toOR.
* Missing Parentheses (C):When combiningORandANDlogic in FortiSIEM, parentheses are required to define the order of operations. Without them, the query might evaluate "Asia AND Destination Country IS NOT null AND Source IP IN..." first. To correctly find (Europe OR Asia) that also matches the LAN segment, parentheses must group the first two rows.
* Incorrect Operator for IP Range (D):The exhibit uses theINoperator for the value 10.0.0.0,
10.200.200.254. In FortiSIEM, theINoperator is used for a comma-separated list of specific values or CMDB groups. To specify a continuous range of IP addresses (the "LAN segment"), theBETWEENoperator must be used.
Why other options are incorrect:
* IS NOT null (A):In FortiSIEM, "IS NOT null" is a valid operator/value combination used to ensure a specific attribute has been successfully parsed and populated in the event record.
* Time Range (B):There is no requirement for a time range to be "Absolute" when using CMDB groups;
"Relative" time ranges (like the "Last 30 Days" shown) are commonly used and fully supported for such queries.
SOC Concepts and Frameworks
質問 # 88
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