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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Forensic Investigation and Malware Analysis | 5% | - Malware types, behavior, and analysis techniques - Digital forensics fundamentals in SOC context - IoC extraction and evidence handling |
| Topic 2: 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) |
| Topic 3: Log Management | 15% | - Events vs incidents vs logs - Log normalization, correlation, and retention policies - Centralized logging architecture - Log sources, types, and collection methods |
| Topic 4: Incident Detection with SIEM | 25% | - SIEM architecture, components, and deployment models - SIEM dashboards and reporting - Correlation rules and alert generation - Data ingestion, parsing, and normalization - Alert triage, prioritization, and false positive reduction |
| Topic 5: SOC for Cloud Environments | 5% | - Cloud security monitoring challenges - Cloud log collection and analysis - Cloud threat detection and response |
| Topic 6: Security Operations and Management | 5% | - SOC fundamentals and objectives - SOC components: people, processes, technology - SOC implementation and operational models |
| Topic 7: Proactive Threat Detection | 12% | - Threat intelligence types and sources - Threat hunting methodologies and techniques - Integrating threat intelligence into SOC workflows - UEBA and advanced detection methods |
| Topic 8: Incident Response | 25% | - SOAR, EDR, XDR technologies - Incident response lifecycle and frameworks - Containment, eradication, and recovery procedures - Documentation, reporting, and post-incident review - Roles and responsibilities in incident response |
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NEW QUESTION # 190
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: A
NEW QUESTION # 191
Where will you find the reputation IP database, if you want to monitor traffic from known bad IP reputation using OSSIM SIEM?
Answer: C
Explanation:
In OSSIM SIEM, the reputation IP database is a crucial component for monitoring traffic from known malicious IP addresses. The correct location of this database is:
* /etc/ossim/server/reputation.data: This directory and file name specify the location where the reputation database is stored. It contains the list of known bad IP addresses that the OSSIM system uses to monitor and identify potentially harmful traffic.
* Purpose of the Reputation Database: The database is used to compare incoming traffic against the list of known bad IPs. If a match is found, OSSIM can generate alerts or take predefined actions to mitigate the threat.
* Updating the Database: It's important to regularly update the reputation database to ensure it includes the latest threat intelligence. This helps maintain the effectiveness of the SIEM system in identifying and responding to threats.
References: The information provided here is based on standard OSSIM documentation and best practices for SIEM systems as outlined in EC-Council's SOC Analyst study materials1234.
Please note that while I strive to provide accurate information, it's always best to consult the latest EC- Council SOC Analyst documents and learning resources for the most current and detailed guidance.
Graphical user interface, text Description automatically generated
NEW QUESTION # 192
A type of threat intelligent that find out the information about the attacker by misleading them is known as
.
Answer: A
Explanation:
NEW QUESTION # 193
An organization is implementing and deploying the SIEM with following capabilities.
What kind of SIEM deployment architecture the organization is planning to implement?
Answer: D
Explanation:
NEW QUESTION # 194
The SOC team at a national cybersecurity agency detects anomalous network traffic from a sensitive government server and escalates to forensics. The forensic team discovers a trojan suspected of data exfiltration and persistence. The lead malware analyst must determine capabilities and persistence mechanisms by analyzing the trojan's binary code at the instruction level without executing it. Which technique should the analyst use?
Answer: B
Explanation:
Malware disassembly is the technique used to analyze a binary at the instruction level without executing it. It converts compiled machine code into assembly instructions so an analyst can study program logic, identify functions, locate strings and API calls, and understand how the malware performs actions such as persistence, command execution, credential theft, and exfiltration. This meets the requirement to avoid execution on a sensitive system, which is critical in high-risk environments where unintended detonation could cause further damage. Network behavior monitoring requires execution to observe outbound connections and protocols, which violates the "without executing" constraint. Dynamic code injection is an active technique used during runtime and is not appropriate when execution must be avoided. Interactive debugging often involves running the program under a debugger to observe behavior step-by-step; while it can be done in controlled labs, it still requires execution. For strict non-execution, disassembly is the correct static technique. SOC teams use disassembly results to produce detections (behavioral signatures, YARA-like patterns, API sequence indicators) and to identify IOCs such as domains, mutexes, registry keys, and file paths for enterprise-wide hunting.
NEW QUESTION # 195
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