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| Section | Weight | Objectives |
|---|---|---|
| Enhanced Incident Detection with Threat Intelligence | 20% | - Threat Hunting
|
| SOC Infrastructure and Threat Intelligence | 15% | - SOC Overview
|
| Data Analysis and SIEM | 25% | - SIEM Operations
|
| SOC Process and Workflow | 20% | - Incident Detection and Analysis
|
| Incident Response and Forensics | 20% | - Incident Response Planning
|
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NEW QUESTION # 136
A rapidly growing e-commerce company wants to implement a SIEM solution to improve its security posture and comply with PCI DSS requirements. They need a solution that offers both the necessary technological features and the expertise to manage the system effectively. They also need continuous compliance support and data security assistance. Which SIEM solution is appropriate for this company?
Answer: C
Explanation:
A managed SIEM provides both the technology platform and the operational expertise to run it effectively, which aligns with the company's need for features plus ongoing management, compliance support, and security assistance. Rapidly growing organizations often struggle to staff SIEM engineering, content tuning, and 24/7 monitoring internally. Managed SIEM offerings typically include onboarding data sources, maintaining parsers, tuning detections, handling alert triage, producing compliance reports, and advising on remediation-capabilities that directly support PCI DSS requirements and continuous audit readiness. A cloud-based SIEM is a deployment model and can be part of the answer, but it does not guarantee expert management or compliance support unless paired with a managed service. An in-house SIEM requires building and maintaining internal expertise, which conflicts with the stated need for external expertise and continuous support. "Security analytics" is a capability category, not a full SIEM solution model. From a SOC operations standpoint, managed SIEM reduces time-to-value, improves alert quality through professional tuning, and provides consistent reporting and operational coverage without needing the company to immediately build a mature internal SOC function.
NEW QUESTION # 137
A type of threat intelligent that find out the information about the attacker by misleading them is known as
.
Answer: D
NEW QUESTION # 138
Shawn is a security manager working at Lee Inc Solution. His organization wants to develop threat intelligent strategy plan. As a part of threat intelligent strategy plan, he suggested various components, such as threat intelligence requirement analysis, intelligence and collection planning, asset identification, threat reports, and intelligence buy-in.
Which one of the following components he should include in the above threat intelligent strategy plan to make it effective?
Answer: B
Explanation:
In the context of a threat intelligence strategy plan, 'threat trending' is a critical component that should be included to make the plan effective. Threat trending involves analyzing data over time to identify patterns and trends in cyber threats. This allows an organization to anticipate potential future attacks and prepare accordingly. It is an essential part of a proactive threat intelligence program, enabling the organization to stay ahead of threats rather than just reacting to them.
The other options, while they may be relevant in certain contexts, are not as central to the development of a threat intelligence strategy plan as 'threat trending' is. 'Threat pivoting' refers to the process of using one piece of data to uncover more data (e.g., using an IP address to find related domains). 'Threat buy-in' is not a standard term in threat intelligence, but it could refer to gaining organizational support for threat intelligence efforts. 'Threat boosting' is not a recognized term in the field of cybersecurity.
References: The answer is derived from the components of a threat intelligence strategy as outlined in the EC- Council's Certified SOC Analyst (CSA) training and certification program, which emphasizes the importance of understanding and implementing a threat intelligence-driven SOC12. The CSA program also covers the use of threat intelligence for enhanced incident detection1. The EC-Council materials highlight the need for SOC analysts to understand various types of cyber threats and the importance of threat intelligence in detecting and responding to these threats2.
NEW QUESTION # 139
A financial services company hosts an online banking platform accessible via a public web portal. The SOC team has deployed Snort IDS to monitor HTTP traffic for potential attacks targeting the login page. One day, a user attempts to log in multiple times, generating a series of failed authentication events. During this time, Snort IDS triggers an alert based on the following rule:
alert tcp any any -> any 80 (msg:"SQL Injection attempt detected"; content:"' OR T=T"; nocase; sid:1000001; rev:1;) The alert indicates that an incoming HTTP request contained the classic SQL injection payload ' OR T=T, which is commonly used to bypass login authentication by always evaluating to true. The SIEM, integrated with Snort, receives this alert and correlates it with multiple failed login attempts from the same source IP.
This triggers an automated response, temporarily blocking the suspicious IP address and notifying the SOC team. Which detection method is used by this rule?
Answer: C
Explanation:
This rule is signature-based because it matches a known malicious pattern (a specific string payload) within network traffic. Snort's content keyword searches for an exact sequence of bytes/characters in the packet payload-in this case, a classic SQL injection tautology pattern intended to manipulate application logic.
Signature detection is high-confidence when the signature is precise and the payload is strongly associated with malicious intent. In SOC operations, signature-based rules are commonly used for well-known exploit strings, malware beacons, and protocol abuse patterns. The tradeoff is that signatures can be bypassed with encoding, obfuscation, payload variations, or different injection strategies that avoid the exact string.
Behavioral/anomaly/statistical methods, by contrast, focus on deviations from baseline or broader behavioral patterns (for example, unusual login rates, uncommon HTTP methods, or atypical data transfer volumes).
Here, the detection trigger is explicitly the presence of a known SQL injection payload string, which is the defining characteristic of signature-based detection. The SIEM correlation with failed logins adds context and confidence, but the rule itself is still signature-driven.
NEW QUESTION # 140
Identify the attack in which the attacker exploits a target system through publicly known but still unpatched vulnerabilities.
Answer: B
NEW QUESTION # 141
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