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| Section | Objectives |
|---|---|
| Topic 1: Security Operations and SOC Fundamentals | - SOC operations principles
|
| Topic 2: Incident Detection and Response | - SIEM operations
|
| Topic 3: Threat Intelligence and Cyber Threat Analysis | - Threat intelligence lifecycle
|
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NEW QUESTION # 40
Which of the following Windows features is used to enable Security Auditing in Windows?
Answer: D
Explanation:
To enable Security Auditing in Windows, the Local Group Policy Editor is used. This feature allows administrators to configure security policies and audit settings on a local computer. Here's how you can enableSecurity Auditing using the Local Group Policy Editor:
* Press Win + R, type gpedit.msc, and press Enter to open the Local Group Policy Editor.
* Navigate to Computer Configuration -> Windows Settings -> Security Settings -> Local Policies -
> Audit Policy.
* Here, you will find a list of audit policies that you can configure for both success and failure events.
* By enabling these policies, you can specify which security-related events you want to audit, such as account logon events, object access, policy change, privilege use, and more.
References: The process described above is aligned with the best practices and guidelines provided by Microsoft and other authoritative sources on Windows security auditing, such as:
Microsoft's official documentation on Security Auditing1.
Guides on how to enable Security Auditing in Active Directory environments2.
Articles detailing the essentials of Windows event log security auditing3. These references are part of the learning resources for the EC-Council SOC Analyst course and provide comprehensive information on the subject.
Reference: https://resources.infosecinstitute.com/topic/how-to-audit-windows-10-application-logs/
NEW QUESTION # 41
Which of the following Windows features is used to enable Security Auditing in Windows?
Answer: D
NEW QUESTION # 42
A SOC team at a major financial institution detects unauthorized access attempts on its web application. Logs indicate the web application is compromised. To determine the exact attack technique and implement mitigation, forensic investigators assess cookie attributes (such as HttpOnly, Secure, and SameSite) for security weaknesses and track anomalous request patterns that deviate from normal user behavior. Which attack vector is the forensic team investigating?
Answer: C
Explanation:
The focus on cookie attributes (HttpOnly, Secure, SameSite) strongly aligns with session security and session integrity. These attributes are designed to protect session cookies from being stolen or misused: HttpOnly limits JavaScript access to cookies, Secure restricts cookies to HTTPS, and SameSite reduces cross-site request risks. When investigators assess these settings, they are often evaluating whether session tokens could be manipulated, injected, fixed, or abused-behaviors consistent with session poisoning and related session attacks. While XSS can be used to steal cookies, the investigation described is not centered on injected script payloads in application responses; it is centered on cookie security posture and abnormal request patterns tied to sessions. SQL injection is primarily about manipulating database queries and would be investigated through query-related payloads and database error patterns rather than cookie attribute review. MITM attacks can intercept session cookies if transport security is weak, but the question emphasizes cookie attribute weaknesses and anomalous session request patterns-more directly associated with session poisoning/session hijacking analysis. In SOC response, confirming session attack vectors typically leads to rotating session secrets, invalidating active sessions, tightening cookie flags, enforcing TLS, and adding anomaly detection for session token reuse and impossible travel.
NEW QUESTION # 43
Peter, a SOC analyst with Spade Systems, is monitoring and analyzing the router logs of the company and wanted to check the logs that are generated by access control list numbered 210.
What filter should Peter add to the 'show logging' command to get the required output?
Answer: A
NEW QUESTION # 44
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?
Answer: D
Explanation:
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.
NEW QUESTION # 45
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