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| Section | Weight | Objectives |
|---|---|---|
| Log Management | 15% | - Log sources, types, and collection methods - Centralized logging architecture - Log normalization, correlation, and retention policies - Events vs incidents vs logs |
| Forensic Investigation and Malware Analysis | 5% | - IoC extraction and evidence handling - Digital forensics fundamentals in SOC context - Malware types, behavior, and analysis techniques |
| Incident Response | 25% | - Roles and responsibilities in incident response - SOAR, EDR, XDR technologies - Documentation, reporting, and post-incident review - Containment, eradication, and recovery procedures - Incident response lifecycle and frameworks |
| SOC for Cloud Environments | 5% | - Cloud threat detection and response - Cloud log collection and analysis - Cloud security monitoring challenges |
| Understanding Cyber Threats, IoCs, and Attack Methodology | 8% | - Network, host, and application-level attacks - Indicators of Compromise (IoCs) and Indicators of Attack (IoAs) - Attack frameworks and methodologies - Types of cyber threats and threat actors |
| Proactive Threat Detection | 12% | - Integrating threat intelligence into SOC workflows - UEBA and advanced detection methods - Threat hunting methodologies and techniques - Threat intelligence types and sources |
| Incident Detection with SIEM | 25% | - SIEM dashboards and reporting - SIEM architecture, components, and deployment models - Alert triage, prioritization, and false positive reduction - Data ingestion, parsing, and normalization - Correlation rules and alert generation |
| Security Operations and Management | 5% | - SOC components: people, processes, technology - SOC implementation and operational models - SOC fundamentals and objectives |
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問題 #194
Which of the following event detection techniques uses User and Entity Behavior Analytics (UEBA)?
答案：A
解題說明：
User and Entity Behavior Analytics (UEBA) is a cybersecurity process that uses machine learning, algorithms, and statistical analyses to detect abnormal behavior of users and entities within an organization.
UEBA systems analyze patterns of behavior and can identify anomalies that deviate from the norm, which could indicate a potential security threat.
Anomaly-based detection is the technique that aligns with UEBA's functionality. It contrasts with:
* Rule-based detection, which relies on predefined rules to detect threats.
* Heuristic-based detection, which uses experience-based techniques.
* Signature-based detection, which depends on known patterns orsignatures of malware to identify threats.
Anomaly-based detection systems are designed to be dynamic, continuously learning and establishing what is considered normal to identify deviations. This approach is particularly effective in identifying previously unknown threats, hence its alignment with UEBA.
References: The EC-Council's Certified SOC Analyst (CSA) program covers the fundamentals of SOC operations, including incident detection with Security Information and Event Management (SIEM) and enhanced incident detection with Threat Intelligence, which encompasses the use of UEBA for anomaly detection123.
問題 #195
Jony, a security analyst, while monitoring IIS logs, identified events shown in the figure below.
What does this event log indicate?
答案：D
解題說明：
TheIIS log events indicate a SQL Injection Attack. This is evident from the complex SQL queries present in the log, which include functions like "UNICODE", "SUBSTRING", and "MAX". These functions are being used in a manner that suggests manipulation of strings and extraction of data, which are common tactics in SQL injection attacks. The use of specific characters like CHAR(97) and CHAR(108) within the queries is a technique often employed to bypass security mechanisms during such attacks.
References: For further study and verification, the EC-Council's Certified SOC Analyst (CSA) course materials and study guides provide extensive information on identifying and responding to various types of cyber attacks, including SQL Injection. These resources are essential for any security analyst to understand the intricacies of log analysis and attack identification.
問題 #196
TechInnovate receives an alert about a newly discovered zero-day vulnerability in a widely used web application framework that is being actively exploited. No official patch is available. The SOC must monitor adversary tactics, identify indicators of compromise (IoCs), and proactively adjust controls to detect, track, and mitigate the threat. Which SOC technology is crucial for real-time visibility into evolving threat intelligence and enabling proactive mitigation?
答案：A
解題說明：
When a zero-day is being exploited and no patch exists, the SOC must rapidly consume, curate, and operationalize evolving threat intelligence: new IoCs, attacker infrastructure, exploitation patterns, and defensive guidance. Threat intelligence management tools are purpose-built for this. They aggregate feeds and reports, normalize indicators, score confidence and relevance, de-duplicate noise, enrich with context (campaign, actor, targeting), and push actionable intelligence into detection and response systems. This provides real-time visibility into changes as the threat evolves and enables proactive mitigation such as blocking malicious domains/IPs, updating WAF rules, tuning detections, and prioritizing monitoring on vulnerable assets. Vulnerability management tools are important for exposure tracking, but they provide limited real-time adversary intelligence and cannot resolve a zero-day without patching/mitigation guidance.
EDR tools provide endpoint visibility and containment but don't serve as the intelligence aggregation and distribution layer. SIEM solutions correlate internal telemetry and alert on suspicious behavior, but they rely on intelligence sources and still need a mechanism to manage rapidly changing indicators at scale. Therefore, threat intelligence management tools are crucial for quickly turning external intelligence into actionable defensive updates during a zero-day window.
問題 #197
Identify the event severity level in Windows logs for the events that are not necessarily significant, but may indicate a possible future problem.
答案：C
問題 #198
Which of the following service provides phishing protection and content filtering to manage the Internet experience on and off your network with the acceptable use or compliance policies?
答案：C
問題 #199
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