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| Section | Objectives |
|---|---|
| Topic 1: Threat Intelligence and Cyber Threat Analysis | - Threat intelligence lifecycle
|
| Topic 2: Incident Detection and Response | - Incident handling process
|
| Topic 3: Security Operations and SOC Fundamentals | - Log management and analysis
|
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77. Frage
Identify the attack, where an attacker tries to discover all the possible information about a target network before launching a further attack.
Antwort: A
Begründung:
A Reconnaissance Attack is a type of cyber attack where the attacker engages in activities to gather information about a target network before launching further attacks. This preliminary phase involves collecting data that could include network infrastructure details, system vulnerabilities, and other critical information that could be exploited in subsequent stages of an attack. Reconnaissance can be both passive, involving information gathering without directly interacting with the target system, or active, which may include more direct methods like port scanning.
References:The concept of Reconnaissance Attacks is detailed in EC-Council's cybersecurity resources, such as the Certified Threat Intelligence Analyst (C|TIA) program and articles on the Cyber Kill Chain, which describe reconnaissance as the first stage in a cyber attack12. These resources outline the methodologies and types of information gathered during reconnaissance, emphasizing its role in identifying potential attack vectors12.
78. Frage
What does HTTPS Status code 403 represents?
Antwort: C
79. Frage
Rinni, SOC analyst, while monitoring IDS logs detected events shown in the figure below.
What does this event log indicate?
Antwort: A
80. Frage
A financial institution's SIEM is generating a high number of false positives, causing alert fatigue among SOC analysts. To reduce this burden and improve threat detection accuracy, the organization integrates AI capabilities into the SIEM. After implementation, the SOC team observes a significant decrease in redundant alerts, along with faster detection of genuine threats. Which AI capability contributed to this improvement?
Antwort: D
Begründung:
Dynamic rule optimization best explains a reduction in false positives and redundant alerts after adding AI to a SIEM. In SOC operations, alert fatigue often comes from static thresholds, overly broad correlations, and detections that don't adapt to changing baselines (new business apps, seasonal activity, infrastructure changes). AI-driven dynamic optimization can tune thresholds, suppress noisy patterns, and adjust scoring based on context (user role, device posture, known maintenance windows, historical behavior). This reduces duplicate/low-value alerts while preserving or improving sensitivity for real threats, which aligns with
"decrease in redundant alerts" and "faster detection of genuine threats." Rule validation/testing improves quality but is usually a manual or pre-deployment activity, not a continuous adaptive capability. Automated rule generation might create new detections, but it doesn't inherently reduce noise unless paired with tuning.
Data integration enhancement improves coverage and correlation, but by itself it can increase alerts if not tuned. The described outcome-less noise, better precision, quicker true detection-matches adaptive tuning and optimization of detections over time, which is dynamic rule optimization.
81. Frage
Which of the following process refers to the discarding of the packets at the routing level without informing the source that the data did not reach its intended recipient?
Antwort: C
Begründung:
Black hole filtering is a network security measure used to prevent unwanted or malicious traffic from entering a network. It works by directing traffic to a null interface, a non-existent server, or a black hole IP address where the packets are dropped without acknowledgment. This process is typically used to protect against denial-of-service (DoS) attacks, where an overwhelming amount of traffic is sent to a network with the intent to disrupt service.
In the context of a security operations center (SOC), black hole filtering can be an effective strategy for mitigating threats. When a threat is identified, such as a DoS attack, the SOC analyst can configure the network to redirect the suspicious traffic to a black hole, effectively neutralizing the attack by preventing the malicious data packets from reaching their intended target.
References: The EC-Council's Certified SOC Analyst (C|SA) program covers various defensive strategies, including black hole filtering, as part of its curriculum for Tier I and Tier II SOC analysts. The program emphasizes the importance of understanding and implementing network security measures to protect against cyber threats12.
Reference:https://en.wikipedia.org/wiki/Black_hole_(networking)#:~:text=In%20networking%2C%20black%
20holes%20refer,not%20reach%20its%20intended%20recipient.
82. Frage
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