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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Incident Response and Forensics | 20% | - Incident Response Planning
|
| Topic 2: SOC Process and Workflow | 20% | - Incident Detection and Analysis
|
| Topic 3: SOC Infrastructure and Threat Intelligence | 15% | - Threat Intelligence
|
| Topic 4: Data Analysis and SIEM | 25% | - SIEM Operations
|
| Topic 5: Enhanced Incident Detection with Threat Intelligence | 20% | - Threat Hunting
|
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NEW QUESTION # 97
The Syslog message severity levels are labelled from level 0 to level 7.
What does level 0 indicate?
Answer: B
Explanation:
In the Syslog protocol, severity levels are categorized from 0 to 7, with level 0 being the most severe. Level 0 indicates an "Emergency" situation which means the system is unusable. This level of severity is used for the most critical messages, often indicating a complete service or system shutdown.
References:
EC-Council's Certified SOC Analyst (CSA) course materials, which cover the Syslog severity levels as part of thetraining1.
InfraExam 2024, Certified SOC Analyst Part 01, which includes details on Syslog severity levels2.
NEW QUESTION # 98
An attacker exploits the logic validation mechanisms of an e-commerce website. He successfully purchases a product worth $100 for $10 by modifying the URL exchanged between the client and the server.
Original
URL: http://www.buyonline.com/product.aspx?profile=12
&debit=100
Modified URL: http://www.buyonline.com/product.aspx?profile=12
&debit=10
Identify the attack depicted in the above scenario.
Answer: B
Explanation:
NEW QUESTION # 99
John, a SOC analyst, while monitoring and analyzing Apache web server logs, identified an event log matching Regex /(\.|(%|%25)2E)(\.|(%|%25)2E)(\/|(%|%25)2F|\\|(%|%25)5C)/i.
What does this event log indicate?
Answer: D
NEW QUESTION # 100
John, a SOC analyst, while monitoring and analyzing Apache web server logs, identified an event log matching Regex /(\.|(%|%25)2E)(\.|(%|%25)2E)(\/|(%|%25)2F|\\|(%|%25)5C)/i.
What does this event log indicate?
Answer: D
Explanation:
The regex pattern /(\.|(%|%25)2E)(\.|(%|%25)2E)(\/|(%|%25)2F|\\|(%|%25)5C)/i is indicative of a Directory Traversal Attack. This type of attack exploitsinsufficient security controls to gain unauthorized access to files and directories that are stored outside the web root folder. Here's a breakdown of the regex pattern:
* (\.|(%|%25)2E) matches a period . or its URL-encoded forms %2E or %252E. In file systems, a period can represent the current directory or, when used as .., the parent directory.
* (\/|(%|%25)2F|\\|(%|%25)5C) matches a forward slash /, its URL-encoded form %2F or %252F, or a backslash \, which is %5C in URL encoding. These characters are used in file paths to navigate directories.
When combined, this pattern can match sequences like ../ or ..%2F, which are commonly used in directory traversal attempts to navigate up the directory tree and access files outside of the intended directory.
References: The EC-Council's Certified SOC Analyst (CSA) program includes training on recognizing and responding to various types of cyber threats, including Directory Traversal Attacks12. The program emphasizes the importance of understanding and identifying different attack vectors, including those that involve manipulating file paths, which is a critical skill for SOC analysts. The regex pattern provided is a typical example of what SOC analysts might encounter and need to recognize as part of their role in monitoring and analyzing web server logs12.
NEW QUESTION # 101
You are part of a team of SOC analysts in a multinational organization that processes large volumes of security logs from various sources, including firewalls, IDS, and authentication servers. Your team is having difficulty detecting incidents because logs from different systems are analyzed in isolation, making it harder to link related events. What approach should you implement for future investigations to automatically match related log events based on predefined rules?
Answer: A
Explanation:
Log correlation is the capability that links related events from different sources into a coherent narrative based on predefined rules, logic, and time windows. In SOC operations, incidents rarely appear as a single log line; they are sequences-failed logons followed by a successful logon, then privilege changes, then suspicious process execution, then outbound connections. Correlation rules connect these across data sources (firewall, IDS, authentication, endpoint) using strong keys such as user, host, IP address, session identifiers, and tightly bounded timestamps. This reduces analyst workload, increases detection fidelity, and shortens investigation time by presenting connected evidence rather than isolated alerts. Log collection simply gathers logs; it does not relate them. Log normalization ensures consistent fields and formats, which improves correlation effectiveness, but it is not the linking step itself. Log transformation is a broader term that can include parsing and enrichment, but it does not inherently perform the rule-driven linking of related events. Because the question explicitly asks for "automatically match related log events based on predefined rules," log correlation is the correct approach.
NEW QUESTION # 102
......
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