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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Security Operations | 33% | - Threat intelligence usage
|
| Topic 2: Vulnerability Management | 34% | - Remediation and mitigation
|
| Topic 3: Incident Response and Management | 33% | - Reporting and communication
|
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NEW QUESTION # 202
Which of the following is the best use of automation in cybersecurity?
Answer: B
Explanation:
Comprehensive and Detailed Step-by-Step Automation in cybersecurity is best utilized to improve the speed and accuracy of incident detection, analysis, and response. Tools like SOAR (Security Orchestration, Automation, and Response) streamline workflows, allowing analysts to focus on more complex tasks while reducing response times. This ensures quicker containment and mitigation of threats.
Reference:
CompTIA CySA+ Study Guide (Chapter 1: Cybersecurity Automation, Page 28) CompTIA CySA+ Practice Tests (Domain 1.3 Tools for Malicious Activity, Page 13)
NEW QUESTION # 203
A user is flagged for consistently consuming a high volume of network bandwidth over the past week. During the investigation, the security analyst finds traffic to the following websites:
Date/Time
URL
Destination Port
Bytes In
Bytes Out
12/24/2023 14:00:25
youtube.com
80
450000
4587
12/25/2023 14:09:30
translate.google.com
80
2985
3104
12/25/2023 14:10:00
tiktok.com
443
675000
105
12/25/2023 16:00:45
netflix.com
443
525900
295
12/26/2023 16:30:45
grnail.com
443
1250
525984
12/31/2023 17:30:25
office.com
443
350000
450
12/31/2023 17:35:00
youtube.com
443
300
350000
Which of the following data flows should the analyst investigate first?
Answer: C
Explanation:
D ("grnail.com") is a suspicious domain that resembles "gmail.com."
The high "bytes out" value (525,984 bytes) indicates potential data exfiltration.
Attackers often use typosquatting (e.g., "grnail.com" instead of "gmail.com") to trick users into visiting malicious sites.
Why Not Other Options?
A (Netflix, B YouTube, C TikTok) → Large downloads, but expected behavior for streaming sites.
E (Google Translate) → Low data volume, no exfiltration risk.
F (Office.com) → Microsoft service, no indication of malicious activity.
NEW QUESTION # 204
A security analyst performs a vulnerability scan. Based on the metrics from the scan results, the analyst must prioritize which hosts to patch. The analyst runs the tool and receives the following output:
Which of the following hosts should be patched first, based on the metrics?
Answer: A
Explanation:
Host03 should be patched first, based on the metrics, as it has the highest risk score and the highest number of critical vulnerabilities. The risk score is calculated by multiplying the CVSS score by the exposure factor, which is the percentage of systems that are vulnerable to the exploit. Host03 has a risk score of 10 x 0.9 = 9, which is higher than any other host. Host03 also has 5 critical vulnerabilities, which are the most severe and urgent to fix, as they can allow remote code execution, privilege escalation, or data loss. The other hosts have lower risk scores and lower numbers of critical vulnerabilities, so they can be patched later.
NEW QUESTION # 205
A security operations center receives the following alerts related to an organization ' s cloud tenant:
Which of the following should an analyst do first to identify the initial compromise?
Answer: B
Explanation:
To identify the initial compromise, the analyst should start with the earliest suspicious activity in the timeline and pivot into the audit logs for the principal (identity) associated with that first alert.
Here, the first notable event is 02:00 excessive API failures tied to jdoe12@myorg.com. That commonly indicates password guessing, token misuse, or other authentication abuse attempts. The next events (02:15 metadata service access, 05:10 mass VM creation by a service account, 05:40 malware) look like follow-on activity after an initial foothold. Therefore, the best first step is to check whether those API failures were followed by any successful API calls by that user and then correlate those successful actions to the later stages in project staging-01.
This approach aligns with CySA+ guidance that analysts should use logs + timestamps to build a timeline and correlate events across identities/systems to understand scope and progression:
* Sybex emphasizes correlating events from multiple sources and using that correlation to determine scope and impact:Exact extract (Sybex Study Guide): "Security analysts are often asked to help analyze that data... Knowing if other events are correlated with the initial event... [and] understanding what systems, users, services, or other assets were involved..."
* Secbay underscores that logs and timestamps are key to forming an accurate incident timeline (which is exactly what we're doing by starting from the earliest alert):Exact extract (Secbay Press): "System and application logs with timestamps help create a timeline of events, aiding in understanding when specific actions occurred during the incident." Why Option B is best vs. the others
* B starts with the earliest suspicious identity and seeks successful API activity that would confirm compromise and explain subsequent actions (metadata access # service account actions # malware).
* A is too broad initially ("all activity under project staging-01") and anchors on a VM that only appears later; it's not the best first pivot when you already have an earlier suspect identity.
* C starts at the compute-instance phase (05:10) rather than the earliest authentication/API anomaly (02:
00), so it's more likely to find post-compromise actions rather than the initial entry.
* D anchors on a specific later VM (fd031f) and compute APIs, again likely after the initial compromise.
References (CompTIA CySA+ CS0-003 documents / study guides used):
* Mike Chapple & David Seidl, CompTIA CySA+ Study Guide (CS0-003): correlate other events with the initial event; identify involved users/systems/services
* Secbay Press, CompTIA CySA+ Exam Prep Guide (CS0-003): logs + timestamps build a timeline of events and support analysis of incident progression
NEW QUESTION # 206
An employee received a phishing email that contained malware targeting the company. Which of the following is the best way for a security analyst to get more details about the malware and avoid disclosing information?
Answer: A
Explanation:
Comprehensive Detailed
To safely analyze malware while avoiding unintended disclosure of company information, it is best to use a local sandbox in a microsegmented environment. Here's why:
A . Upload the malware to the VirusTotal website
Risk: VirusTotal and similar services are public and may share uploaded files with other security vendors, potentially exposing proprietary or sensitive information.
B . Share the malware with the EDR provider
Limitation: While EDR providers may offer insight, sharing potentially sensitive malware samples externally still introduces risk of disclosure or data leaks.
C . Hire an external consultant to perform the analysis
Cost and Risk: Hiring an external consultant can be costly and may introduce risks related to third-party handling of sensitive data. Although it may provide insights, this is typically not the most efficient initial response.
D . Use a local sandbox in a microsegmented environment
A local sandbox provides a secure, isolated environment for malware analysis without exposing sensitive data outside the organization. Microsegmentation enhances security by further isolating the sandbox from the network, preventing lateral movement if the malware attempts to communicate externally.
Reference:
NIST SP 800-83: Guide to Malware Incident Prevention and Handling for Desktops and Laptops.
MITRE ATT&CK: Techniques and recommendations for malware analysis in isolated environments.
NEW QUESTION # 207
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