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| Section | Weight | Objectives |
|---|---|---|
| Incident Response | 25% | - Roles and responsibilities in incident response - Containment, eradication, and recovery procedures - SOAR, EDR, XDR technologies - Incident response lifecycle and frameworks - Documentation, reporting, and post-incident review |
| Understanding Cyber Threats, IoCs, and Attack Methodology | 8% | - Attack frameworks and methodologies - Network, host, and application-level attacks - Types of cyber threats and threat actors - Indicators of Compromise (IoCs) and Indicators of Attack (IoAs) |
| Proactive Threat Detection | 12% | - Threat intelligence types and sources - UEBA and advanced detection methods - Integrating threat intelligence into SOC workflows - Threat hunting methodologies and techniques |
| Incident Detection with SIEM | 25% | - Alert triage, prioritization, and false positive reduction - SIEM dashboards and reporting - Correlation rules and alert generation - Data ingestion, parsing, and normalization - SIEM architecture, components, and deployment models |
| Log Management | 15% | - Log normalization, correlation, and retention policies - Log sources, types, and collection methods - Events vs incidents vs logs - Centralized logging architecture |
| Security Operations and Management | 5% | - SOC fundamentals and objectives - SOC implementation and operational models - SOC components: people, processes, technology |
| SOC for Cloud Environments | 5% | - Cloud threat detection and response - Cloud log collection and analysis - Cloud security monitoring challenges |
| Forensic Investigation and Malware Analysis | 5% | - IoC extraction and evidence handling - Digital forensics fundamentals in SOC context - Malware types, behavior, and analysis techniques |
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NEW QUESTION # 15
The Syslog message severity levels are labelled from level 0 to level 7.
What does level 0 indicate?
Answer: D
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 the training1.
* InfraExam 2024, Certified SOC Analyst Part 01, which includes details on Syslog severity levels2.
NEW QUESTION # 16
Identify the password cracking attempt involving a precomputed dictionary of plaintext passwords and their corresponding hash values to crack the password.
Answer: A
Explanation:
A Rainbow Table Attack involves using a precomputed table of hash values for every possible combination of characters for a given password policy. This table, known as a rainbow table, is then used to look up the corresponding plaintext password for a given hash value. The process involves the following steps:
* Precomputation: Generate the rainbow table by computing hash values for all possible password combinations according to the password policy.
* Storage: Store these precomputed hash values in a table, associating each with its plaintext password.
* Lookup: When a hash value is obtained during a password cracking attempt, search the rainbow table for the corresponding plaintext password.
* Match: If a match is found, the plaintext password associated with the hash value is the cracked password.
Rainbow tables are effective because they trade storage space for time, allowing for quicker password cracking compared to brute-force or dictionary attacks, which compute hash values on the fly.
References: The EC-Council's materials on password cracking techniques discuss various methods including dictionary attacks, brute-force attacks, and rainbow table attacks. Specifically, the EC-Council Learning Paths and Skill Packs provide detailed insights into these techniques, emphasizing the use of rainbow tables as a method of cracking passwords by comparing precomputed hash values to those obtained from a system12. Additionally, EC-Council's CyberQ platform offers practical exercises related to password cracking, including the use of rainbow tables2.
NEW QUESTION # 17
A large financial organization has experienced an increase in sophisticated cyber threats, including zero-day attacks and APTs. Traditional detection relies heavily on signatures and manual intervention, causing delays.
The CISO is exploring AI-driven solutions that can automatically analyze large datasets, detect anomalies, and adapt to evolving threats in real time-identifying suspicious activity without predefined signatures and with minimal human oversight. Which key AI technology should the organization focus on?
Answer: D
Explanation:
Machine learning is the key AI technology for detecting suspicious activity without predefined signatures by learning patterns from data and identifying anomalies, outliers, and high-risk behaviors. In SOC contexts, ML can model normal baselines for users, hosts, and applications, then flag deviations such as unusual authentication patterns, unexpected data transfers, or rare process behaviors-capabilities that are particularly useful against zero-days and APTs that evade signature-based tools. NLP is valuable for processing human- language text (tickets, email content, narrative logs), but it is not the primary engine for behavioral anomaly detection across telemetry. Static IP blocking is a manual control that can be bypassed and does not "learn" or adapt. Heuristic-based signatures still rely on predefined patterns, even if they are generalized, and are not the same as adaptive learning. From a SOC perspective, ML can improve detection coverage when combined with strong telemetry and tuning, but it also requires governance: monitoring model drift, validating outputs, and ensuring explainability for analysts. Because the scenario prioritizes signatureless detection and real-time adaptation, machine learning is the best fit.
NEW QUESTION # 18
A SOC analyst receives an alert indicating that the system time on a critical Windows server was changed at 3:
00 AM. There are no scheduled maintenance tasks at this time. Unauthorized time changes can be used to evade security controls, such as altering timestamps to obscure malicious activity. The analyst must identify the relevant event codes that log system time modifications and related suspicious behavior. Which of the following Windows Security Event Codes should the analyst review to investigate potential tampering?
Answer: B
Explanation:
Event ID 4616 is the key Windows Security log event for "system time was changed," and it is the primary artifact to confirm and investigate time-tampering. It typically includes details such as the previous time, the new time, and the account or process context responsible, which helps the SOC determine whether the change was authorized (maintenance) or suspicious (off-hours, unusual account, unexpected host). Event ID 4618 is useful as a companion signal because it indicates monitored security-relevant conditions and can help reveal related suspicious behavior around auditing or security event patterns that may coincide with timestamp manipulation. In practice, SOC analysts correlate the time-change event with surrounding authentication events, privilege use, and process creation telemetry to identify the actor and intent. The other options do not directly target the time-change activity: 4608/4609 relate to system startup/shutdown; 4625 is failed logon and
4634 is logoff; 4624 is successful logon (useful context, but not the event that records the time modification itself). Therefore, the best pairing for investigating time tampering in the options provided is 4616 and 4618.
NEW QUESTION # 19
Peter, a SOC analyst with Spade Systems, is monitoring and analyzing the router logs of the company and wanted to check the logs that are generated by access control list numbered 210.
What filter should Peter add to the 'show logging' command to get the required output?
Answer: C
Explanation:
To filter the output of the 'show logging' command to include entries related to a specific access control list, Peter should use the 'include' keyword followed by the access list number. The correct command would be
'show logging | include 210'. This command will display all log entries that contain the string '210', which is the number of the access control list he wants to monitor.
References: The use of the 'include' keyword in Cisco router commands is a standard method for filtering show command outputs to display only lines that contain a specified string or pattern. This is covered in Cisco's documentation and training materials related to router commands and access control list management12.
NEW QUESTION # 20
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