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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Incident Detection with SIEM | 25% | - Data ingestion, parsing, and normalization - SIEM architecture, components, and deployment models - Correlation rules and alert generation - SIEM dashboards and reporting - Alert triage, prioritization, and false positive reduction |
| Topic 2: Security Operations and Management | 5% | - SOC components: people, processes, technology - SOC fundamentals and objectives - SOC implementation and operational models |
| Topic 3: SOC for Cloud Environments | 5% | - Cloud threat detection and response - Cloud log collection and analysis - Cloud security monitoring challenges |
| Topic 4: Understanding Cyber Threats, IoCs, and Attack Methodology | 8% | - Types of cyber threats and threat actors - Network, host, and application-level attacks - Attack frameworks and methodologies - Indicators of Compromise (IoCs) and Indicators of Attack (IoAs) |
| Topic 5: Incident Response | 25% | - Containment, eradication, and recovery procedures - SOAR, EDR, XDR technologies - Documentation, reporting, and post-incident review - Incident response lifecycle and frameworks - Roles and responsibilities in incident response |
| Topic 6: Proactive Threat Detection | 12% | - UEBA and advanced detection methods - Threat hunting methodologies and techniques - Integrating threat intelligence into SOC workflows - Threat intelligence types and sources |
| Topic 7: Forensic Investigation and Malware Analysis | 5% | - Malware types, behavior, and analysis techniques - IoC extraction and evidence handling - Digital forensics fundamentals in SOC context |
| Topic 8: Log Management | 15% | - Log sources, types, and collection methods - Events vs incidents vs logs - Log normalization, correlation, and retention policies - Centralized logging architecture |
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NEW QUESTION # 98
An attacker attempts to gain unauthorized access to a secure network by repeatedly guessing login credentials.
The SIEM is configured to generate an alert after detecting 10 consecutive failed login attempts within a short timeframe. However, the attacker successfully logs in on the 9th attempt, just before the threshold is reached, bypassing the alert mechanism. The security team only becomes aware of the incident after detecting suspicious activity post-login, highlighting a gap in the SIEM's detection rules. What type of alert classification does this represent?
Answer: A
Explanation:
A false negative occurs when malicious activity happens but the detection logic fails to alert. In this case, an attacker successfully authenticates after multiple failed attempts, yet the SIEM rule does not trigger because the threshold (10 failed attempts) was not met. The incident is real, but the system missed it-this is the definition of a false negative. From a SOC engineering perspective, this highlights a common tuning pitfall:
rigid thresholds can be evaded by attackers who adjust timing or stop just short of the trigger condition. To reduce false negatives, SOC teams often implement layered detections: alert on "many failed attempts" (lower thresholds), alert on "failed attempts followed by a success," incorporate user risk context (unusual source IP
/geo), and add account lockout or MFA policies to reduce attack success. A false positive would mean an alert triggered for benign activity, which did not occur here. True positives/true negatives require the SIEM to correctly alert or correctly stay silent, respectively. Since the SIEM stayed silent during an actual compromise, the classification is false negative.
NEW QUESTION # 99
Where will you find the reputation IP database, if you want to monitor traffic from known bad IP reputation using OSSIM SIEM?
Answer: B
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.
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NEW QUESTION # 100
Which of the following command is used to enable logging in iptables?
Answer: A
Explanation:
NEW QUESTION # 101
In which of the following incident handling and response stages, the root cause of the incident must be found from the forensic results?
Answer: D
NEW QUESTION # 102
You are a SOC analyst on duty during a high-severity incident involving a DDoS attack targeting your organization's e-commerce platform. The attack disrupts online transactions. Using SIEM tools and packet capture systems, you identify unusual traffic patterns and trace activity back to command-and-control (C2) servers directing a botnet. Your goal is to recommend an eradication strategy that will sever the attackers' control over infected devices and halt the attack. Which strategy should your team implement?
Answer: A
Explanation:
"Neutralizing handlers" is the best match because it focuses on disrupting the botnet's command-and-control layer that coordinates the attack. In classic botnet terminology, handlers (or C2 nodes) issue instructions to compromised hosts. If you can block, sinkhole, or otherwise disrupt communication to those controlling nodes, you reduce the adversary's ability to direct traffic and sustain the DDoS. Rate limiting is a useful mitigation to reduce immediate impact on your services, but it does not sever attacker control; it is more a resilience measure than eradication. "Blocking potential attacks" is too generic and describes a broad defensive posture rather than a specific botnet-focused eradication action. "Disabling botnets" is an outcome, but it is not a precise operational strategy in the way "neutralizing handlers" is; disabling a botnet often requires a combination of takedowns, sinkholing, upstream provider coordination, and endpoint remediation- activities that are commonly operationalized by targeting the handler/C2 infrastructure. From a SOC standpoint, this also aligns with coordinated response: implement network blocks, collaborate with ISP/CDN, and use threat intel to identify additional C2 endpoints while continuing service-level mitigations.
NEW QUESTION # 103
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