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| Section | Objectives |
|---|---|
| Incident Detection and Response | - Incident handling process
|
| Security Operations and SOC Fundamentals | - Log management and analysis
|
| Threat Intelligence and Cyber Threat Analysis | - Attack techniques and frameworks
|
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NEW QUESTION # 155
At GlobalTech, the SOC team detects a suspicious ransomware outbreak affecting multiple endpoints. After successfully isolating the infected systems from the network, the Digital Forensics team begins their investigation. They deploy a forensics workstation to acquire RAM dumps, extract Windows Event Logs, and collect network PCAP files from the compromised hosts. Which phase of the Incident Response lifecycle is currently underway?
Answer: C
Explanation:
The described activities-acquiring RAM dumps, extracting event logs, and collecting PCAPs-are evidence gathering and forensic analysis. This phase focuses on preserving and analyzing artifacts to understand what happened, how it happened, and what the scope is. RAM capture can reveal in-memory indicators such as encryption keys, injected code, running processes, network connections, and credential material that may not be present on disk. Windows Event Logs provide timelines for process creation, logons, privilege changes, and service activity. PCAP data supports validation of lateral movement, C2 communication, and exfiltration paths. Containment has already occurred in the scenario (infected endpoints were isolated), and eradication would involve removing ransomware, closing persistence, patching exploited paths, and ensuring the threat cannot return. Recovery is restoring systems and data to normal operations. In SOC practice, evidence collection should occur as early as safely possible (often immediately after containment) to avoid losing volatile artifacts, which is why the forensic team is acting now. Therefore, the current phase is evidence gathering and forensic analysis.
NEW QUESTION # 156
Which of the following attack can be eradicated by converting all non-alphanumeric characters to HTML character entities before displaying the user input in search engines and forums?
Answer: B
NEW QUESTION # 157
During routine monitoring, the SIEM detects an unusual spike in outbound data transfer from a critical database server. The typical outbound traffic for this server is around 5 MB/hour, but in the past 10 minutes, it has sent over 500 MB to an external IP address. No predefined signatures match this activity, but the SIEM raises an alert due to deviations from the server's normal behavior profile. Which detection method is responsible for this alert?
Answer: A
Explanation:
This alert is generated because the activity deviates significantly from the server's established baseline, which is the hallmark of anomaly-based detection. The SIEM is not matching a known signature (so it is not signature-based), and the prompt emphasizes "deviations from normal behavior profile," which typically means statistical profiling, baselining, or behavior analytics detecting outliers in volume, timing, destination, or frequency. While rule-based detections can also trigger on thresholds, the question explicitly frames the logic as "normal behavior profile," which implies adaptive baselines rather than a fixed rule alone. Heuristic detection refers to generalized patterns or suspicion scoring, but here the core mechanism is abnormality versus historical norms (5 MB/hour typical vs 500 MB in 10 minutes). From a SOC triage perspective, anomaly alerts require quick validation: confirm the external destination reputation/ownership, verify whether the transfer aligns with authorized jobs, check change tickets, and correlate with authentication/process activity on the database host. Anomaly-based detection is especially valuable for data exfiltration because attackers can avoid known signatures, but they often struggle to mimic normal data movement patterns at scale.
NEW QUESTION # 158
A threat hunter analyzing an infected endpoint finds that malicious processes keep reappearing even after termination, making traditional remediation ineffective. The user reports slowdowns, abnormal pop-ups, and unauthorized application launches. Deeper inspection reveals multiple scheduled tasks executing unknown scripts at intervals, along with suspicious registry modifications enabling automatic execution on startup. The endpoint makes intermittent encrypted outbound connections to an unclassified external server. The organization also observed multiple failed privileged logins from the same subnet. Which signs should the threat hunter look for to confirm and mitigate the threat?
Answer: C
Explanation:
Host-based artifacts are the most direct evidence to confirm persistence and recurring execution on an endpoint. The scenario already describes classic host persistence mechanisms: scheduled tasks and registry autorun modifications. To confirm and mitigate, a threat hunter should focus on endpoint-resident artifacts such as: persistence entries (scheduled tasks, Run/RunOnce keys, services, WMI subscriptions), process ancestry (which parent launches the malicious script), file system changes (dropped scripts, DLLs, staged payloads), and security control tampering. These artifacts enable containment and eradication because they point to what must be removed and what must be prevented from re-creating itself after reboot. Network- based artifacts are important for identifying C2 destinations and potential lateral movement, but they won't fully explain how the malware survives termination. Threat intelligence context can help attribute and match TTPs, but it's not required to confirm persistence locally. Indicators of Attack are behavior patterns (like scheduled task creation, registry autoruns, process injection) and are valuable conceptually, but the option that best represents the concrete evidence you need to examine and remediate on the endpoint is "host-based artifacts." In SOC response, you'd combine host artifact removal with credential resets and scoping for similar persistence across endpoints.
NEW QUESTION # 159
A manufacturing company is deploying a SIEM system and wants to improve both security monitoring and regulatory compliance. During planning, the team uses an output-driven approach, starting with use cases that address unauthorized access to production control systems. They configure data sources and alerts specific to this use case, ensuring actionable alerts without excessive false positives. After validating success, they move on to use cases related to supply chain disruptions and malware detection. What is the primary advantage of using an output-driven approach in SIEM deployment?
Answer: A
Explanation:
An output-driven SIEM approach starts with clearly defined outcomes (use cases) and then works backward to ensure the right data sources, parsing, and detection logic are implemented for those outcomes. The key advantage is that it enables the organization to build use cases incrementally and expand scope in a controlled way, resulting in more complex and meaningful detections over time. By validating one high-value use case first (unauthorized access to production control systems), the team learns what telemetry is reliable, what fields are available, and what tuning is needed to reduce false positives. That validated foundation supports expanding into broader and more complex scenarios such as supply chain disruptions and malware detection, which typically require correlation across multiple data sources and longer time windows. Option A is incorrect because output-driven deployments may still require logs from non-critical systems if they contribute to a use case. Option B describes an enforcement capability (more SOAR/controls) and is not inherent to SIEM. Option D is unrealistic; even with strong use cases, real-time response depends on staffing, playbooks, and control execution. Therefore, the strongest advantage described in the options is the ability to build and expand toward more complex use cases with increasing scope and maturity.
NEW QUESTION # 160
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