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Fortinet NSE 7 - Security Operations 7.6 Architect Sample Questions (Q36-Q41):

NEW QUESTION # 36
Based on the Pyramid of Pain model, which two statements accurately describe the value of an indicator and how difficult it is for an adversary to change? (Choose two answers)

A. Tools are easy because often, multiple alternatives exist.
B. Artifacts are easy because adversaries can alter file paths or registry keys.
C. IP addresses are easy because adversaries can spoof them or move them to new resources.
D. Tactics, techniques, and procedures are hard because adversaries must adapt their methods.

Answer: C,D

Explanation:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
ThePyramid of Pain(David Bianco) is a core concept taught inFortiSIEM 7.3andFortiSOAR 7.6curriculum to help SOC analysts prioritize threat intelligence and detection logic. The model ranks indicators based on the
"pain" or effort they cause an adversary to change:
* IP Addresses (Easy):These are classified as "Easy" to change. An attacker can simply rotate through a proxy service, use a different VPS, or utilize a new compromised host to continue their campaign.
While more valuable than a file hash, they provide relatively low-long term value to the defender because they are so ephemeral.
* TTPs (Tough/Hard):This is the apex of the pyramid. TTPs (Tactics, Techniques, and Procedures) represent the fundamental way an adversary operates. If a defender successfully detects and blocks a Tactic (e.g., a specific way an attacker performs privilege escalation), the adversary is forced to reinvent their entire operational process, which is time-consuming and difficult.
Why other options are incorrect:
* Artifacts (C):According to the pyramid, Network/Host Artifacts are classified as"Annoying", not
"Easy". While an attacker can change them, it requires modifying their code or script behavior, which causes more friction than simply switching an IP address.
* Tools (D):Tools are classified as"Challenging". While alternatives exist, an adversary usually invests significant time mastering a specific toolset; losing the ability to use that tool effectively disrupts their efficiency significantly.

NEW QUESTION # 37
Refer to the exhibit.
Which two options describe how the Update Asset and Identity Database playbook is configured? (Choose two.)

A. The playbook is using a FortiClient EMS connector.
B. The playbook is using a local connector.
C. The playbook is using a FortiMail connector.
D. The playbook is using an on-demand trigger.

Answer: A,B

Explanation:
* Understanding the Playbook Configuration:
* The playbook named "Update Asset and Identity Database" is designed to update the FortiAnalyzer Asset and Identity database with endpoint and user information.
* The exhibit shows the playbook with three main components: ON_SCHEDULE STARTER, GET_ENDPOINTS, and UPDATE_ASSET_AND_IDENTITY.
* Analyzing the Components:
* ON_SCHEDULE STARTER:This component indicates that the playbook is triggered on a schedule, not on-demand.
* GET_ENDPOINTS:This action retrieves information about endpoints, suggesting it interacts with an endpoint management system.
* UPDATE_ASSET_AND_IDENTITY:This action updates the FortiAnalyzer Asset and Identity database with the retrieved information.
* Evaluating the Options:
* Option A:The actions shown in the playbook are standard local actions that can be executed by the FortiAnalyzer, indicating the use of a local connector.
* Option B:There is no indication that the playbook uses a FortiMail connector, as the tasks involve endpoint and identity management, not email.
* Option C:The playbook is using an "ON_SCHEDULE" trigger, which contradicts the description of an on-demand trigger.
* Option D:The action "GET_ENDPOINTS" suggests integration with an endpoint management system, likely FortiClient EMS, which manages endpoints and retrieves information from them.
* Conclusion:
* The playbook is configured to use a local connector for its actions.
* It interacts with FortiClient EMS to get endpoint information and update the FortiAnalyzer Asset and Identity database.
References:
Fortinet Documentation on Playbook Actions and Connectors.
FortiAnalyzer and FortiClient EMS Integration Guides.

NEW QUESTION # 38
When does FortiAnalyzer generate an event?

A. When a log matches a rule in an event handler
B. When a log matches an action in a connector
C. When a log matches a task in a playbook
D. When a log matches a filter in a data selector

Answer: A

Explanation:
* Understanding Event Generation in FortiAnalyzer:
* FortiAnalyzer generates events based on predefined rules and conditions to help in monitoring and responding to security incidents.
* Analyzing the Options:
* Option A:Data selectors filter logs based on specific criteria but do not generate events on their own.
* Option B:Connectors facilitate integrations with other systems but do not generate events based on log matches.
* Option C:Event handlers are configured with rules that define the conditions under which events are generated. When a log matches a rule in an event handler, FortiAnalyzer generates an event.
* Option D:Tasks in playbooks execute actions based on predefined workflows but do not directly generate events based on log matches.
* Conclusion:
* FortiAnalyzer generates an event when a log matches a rule in an event handler.
References:
Fortinet Documentation on Event Handlers and Event Generation in FortiAnalyzer.
Best Practices for Configuring Event Handlers in FortiAnalyzer.

NEW QUESTION # 39
Refer to the exhibits.
What can you conclude from analyzing the data using the threat hunting module?

A. Spearphishing is being used to elicit sensitive information.
B. Reconnaissance is being used to gather victim identity information from the mail server.
C. DNS tunneling is being used to extract confidential data from the local network.
D. FTP is being used as command-and-control (C&C) technique to mine for data.

Answer: C

Explanation:
* 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.

NEW QUESTION # 40
Which three end user logs does FortiAnalyzer use to identify possible IOC compromised hosts? (Choose three answers)

A. IPS logs
B. Application filter logs
C. Web filter logs1
D. DNS filter logs2
E. Email filter logs

Answer: A,C,D

Explanation:
Comprehensive and Detailed Explanation From FortiSOAR 7.6., FortiSIEM 7.3 Exact Extract study guide:
In the context of the Fortinet Security Fabric,FortiAnalyzerperforms Indicator of Compromise (IOC) detection by correlating various security logs against a threat intelligence database.3The IOC engine specifically analyzes the following logs of each end user to identify potentially compromised hosts:
* Web Filter Logs (A):The engine parses web filtering logs to identify access attempts to blacklisted URLs, malicious domains, or IPs associated with known malware distribution sites.4If a match is found in the threat database, the host is flagged as compromised.
* DNS Filter Logs (C):DNS requests are a primary indicator of a compromise. The engine monitors these logs for queries directed at known Command and Control (C2) servers or domains generated by Domain Generation Algorithms (DGA).5
* IPS Logs (E):Intrusion Prevention System (IPS) logs provide critical data on signature matches for known attacks. In newer Security Operations (SOC) curricula, IPS logs are used alongside Web and DNS logs to provide a high-fidelity assessment of whether a host is currently infected and attempting to communicate with an external threat actor.
Why other options are incorrect:
* Email Filter Logs (B):While important for detecting phishing attempts (Initial Access), email logs are generally used for content filtering and antispam rather than being a primary source for the IOC engine's behavioral "calling home" detection in the FortiAnalyzer Compromised Hosts view.
* Application Filter Logs (D):Application control logs provide visibility into software usage but are less commonly used by the core IOC engine for identifying blacklisted network destinations compared to Web and DNS filtering.

NEW QUESTION # 41
......

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