CAS-005 Exam Dumps : CompTIA SecurityX Certification Exam

When a security analyst receives a notification about an attack that appears to originate from an internal vulnerability scanner, it suggests that the scanner itself might have been compromised. This situation is critical because a compromised scanner can potentially conduct unauthorized scans, leak sensitive information, or execute malicious actions within the network. The appropriate first action involves containing the threat to prevent further damage and allow for a thorough investigation.

Here’s why quarantining the scanner sensor is the best immediate action:

Containment and Isolation: Quarantining the scanner will immediately prevent it from continuing any malicious activity or scans. This containment is crucial to protect the rest of the network from potential harm.

Forensic Analysis: By isolating the scanner, a forensic analysis can be performed to understand how it was compromised, what actions it took, and what data or systems might have been affected. This analysis will provide valuable insights into the nature of the attack and help in taking appropriate remedial actions.

Preventing Further Attacks: If the scanner is allowed to continue operating, it might execute more unauthorized actions, leading to greater damage. Quarantine ensures that the threat is neutralized promptly.

Root Cause Identification: A forensic analysis can help identify vulnerabilities in the scanner’s configuration, software, or underlying system that allowed the compromise. This information is essential for preventing future incidents.

Other options, while potentially useful in the long term, are not appropriate as immediate actions in this scenario:

A. Create an allow list for the vulnerability scanner IPs to avoid false positives: This action addresses false positives but does not mitigate the immediate threat posed by the compromised scanner.

B. Configure the scan policy to avoid targeting an out-of-scope host: This step is preventive for future scans but does not deal with the current incident where the scanner is already compromised.

C. Set network behavior analysis rules: While useful for ongoing monitoring and detection, this does not address the immediate need to stop the compromised scanner’s activities.

In conclusion, the first and most crucial action is to quarantine the scanner sensor to halt any malicious activity and perform a forensic analysis to understand the scope and nature of the compromise. This step ensures that the threat is contained and provides a basis for further remediation efforts.

To prevent sensitive corporate information from being exposed if a laptop is stolen, the solution must ensure that data is not stored locally and access is tightly controlled. According to the CompTIA SecurityX CAS-005 study guide (Domain 4: Governance, Risk, and Compliance, 4.3), Desktop as a Service (DaaS) hosts data and applications in the cloud, reducing the risk of data exposure on physical devices. Combining DaaS with multifactor authentication (MFA) ensures that even if a laptop is stolen, unauthorized access to the cloud environment is prevented.

Option B:IP allow lists and SSO do not address data stored locally on the laptop, which could be accessed offline.

Option C:MDM and stronger passwords help but do not prevent data exposure if the device is compromised (e.g., via offline attacks).

Option D:Updating policies and monitoring breaches are reactive measures that do not directly protect data on a stolen laptop.

Option A:DaaS ensures no sensitive data resides on the device, and MFA secures access, making it the best solution.

When dealing with false positives and false negatives reported by a Security Information and Event Management (SIEM) system, the goal is to enhance the accuracy of the alerts and ensure that actual threats are identified correctly. The following sources of information best support the analysis process:

A. Third-party reports and logs: Utilizing external sources of information such as threat intelligence reports, vendor logs, and other third-party data can provide a broader perspective on potential threats. These sources often contain valuable insights and context that can help correlate events more accurately, reducing the likelihood of false positives and false negatives.

B. Trends: Analyzing trends over time can help inunderstanding patterns and anomalies in the data. By observing trends, the security team can distinguish between normal and abnormal behavior, which aids in fine-tuning the SIEM configurations to better detect true positives and reduce false alerts.

Other options such as dashboards, alert failures, network traffic summaries, and manual review processes are also useful but are more operational rather than foundational for understanding the root causes of reporting errors in SIEM configurations.