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| Section | Weight | Objectives |
|---|---|---|
| Incident Response and Forensics | 20% | - Incident Response Planning
|
| SOC Infrastructure and Threat Intelligence | 15% | - SOC Overview
|
| SOC Process and Workflow | 20% | - Incident Response
|
| Data Analysis and SIEM | 25% | - SIEM Operations
|
| Enhanced Incident Detection with Threat Intelligence | 20% | - Incident Investigation
|
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NEW QUESTION # 128
Chloe, a SOC analyst with Jake Tech, is checking Linux systems logs. She is investigating files at /var/log/ wtmp.
What Chloe is looking at?
Answer: A
Explanation:
The /var/log/wtmp file in Linux systems is used to record all logins and logouts. The wtmp file is a binary file that can be read with tools like last, which can display the login history of all users or a specific user, as well as the times of system reboots and shutdowns. SOC analysts, like Chloe, would inspect this file to track user activities and investigate potential unauthorized access or other security incidents.
References: The EC-Council's Certified SOC Analyst (CSA) course provides extensive training and knowledge on SOC operations, including log management and correlation. The CSA certification emphasizes the importance of understanding various log files and their purposes within a Linux system as part of the SOC analyst's role12. For more detailed information, the EC-Council's official CSA study guides and resources should be consulted.
NEW QUESTION # 129
John, a threat analyst at GreenTech Solutions, wants to gather information about specific threats against the organization. He started collecting information from various sources, such as humans, social media, chat room, and so on, and created a report that contains malicious activity.
Which of the following types of threat intelligence did he use?
Answer: D
Explanation:
Operational threat intelligence involves gathering detailed information about specific threats to an organization. It is often derived from various sources, including human intelligence, social media, chat rooms, and other platforms where data about malicious activities can be collected. This type of intelligence is focused on understanding the specifics of a threat, such as the tactics, techniques, and procedures (TTPs) of threat actors, and is used to inform the organization about imminent or ongoing attacks.
In the scenario described, John, a threat analyst, is collecting information from diverse sources to create a report on malicious activity. This aligns with the practices of operational threat intelligence, which is concerned with the details of particular threats and activities, rather than broader strategic trends or technical indicators.
References:The EC-Council's Certified Threat Intelligence Analyst (C|TIA) program provides comprehensive training on the different types of threat intelligence, including operational threat intelligence. The program covers the methodologies for collecting, analyzing, and disseminating threat intelligence, which are relevant to the activities performed by John in the scenario1.
NEW QUESTION # 130
Which of the following attack can be eradicated by using a safe API to avoid the use of the interpreter entirely?
Answer: A
Explanation:
NEW QUESTION # 131
Sam, a security analyst with INFOSOL INC., while monitoring and analyzing IIS logs, detected an event matching regex /\\w*((\%27)|(\'))((\%6F)|o|(\%4F))((\%72)|r|(\%52))/ix.
What does this event log indicate?
Answer: C
NEW QUESTION # 132
A newly hired SOC analyst at a fast-growing multinational organization must quickly assess the company's external exposure and identify potential security risks. Techniques considered include analyzing publicly available information, scanning exposed services, reviewing DNS records, and gathering external intelligence.
Due to the scale across subsidiaries, cloud environments, and third-party integrations, some methods may not scale well and may lead to delays or incomplete insights. Which technique is less practical for handling large or diverse data sets in this scenario?
Answer: D
Explanation:
Stack counting is less practical for large, diverse infrastructures because it is often a manual, piecemeal method of identifying and categorizing technology stacks across many assets. In complex multinationals, external exposure spans multiple domains, cloud tenants, third parties, and business units; a "stack counting" approach can become slow, incomplete, and quickly outdated without automation and authoritative asset inventories. DNS lookups can be automated at scale to map domains, subdomains, and records, making them practical for large environments. Web enumeration can also be scaled using automated scanners and discovery tooling (with appropriate authorization), though it may require careful rate limits and scoping.
OSINT can scale through specialized tooling and feeds, though validation is necessary. Compared to these, stack counting is typically the least scalable approach because it relies heavily on manual inference and continuous revalidation. From a SOC standpoint, scalable exposure assessment depends on automated asset discovery, DNS and certificate transparency analysis, cloud inventory, and controlled scanning-methods that can cover breadth without relying on manual "counting stacks" across thousands of assets.
NEW QUESTION # 133
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