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Understanding the Security Event:

HOST002 is the only device authorized for internet traffic. However, theSIEM logs show that VM002 is making network connections to web.corp.local.

This indicatesunauthorized access, which could bea sign of lateral movement or network infection.

This is ared flagfor potential malware, unauthorized software, or a compromised host.

Why Option D is Correct:

Unusual network traffic patternsare often an indicator of acompromised system.

VM002 should not be communicating externally, but it is.

This suggests a possiblebreach or malware infectionattempting to communicate with a command-and-control (C2) server.

Why Other Options Are Incorrect:

A (Misconfiguration):While a misconfiguration could explain the unauthorized connections, the pattern of activity suggests something more malicious.

B (Security incident on HOST002):The issue is not with HOST002. The suspicious activity isfrom VM002.

C (False positives):The repeated pattern of unauthorized connections makes false positivesunlikely.

OWIN23 is running Windows 7, which is a legacy operating system. Many EDR solutions no longer provide full support for outdated operating systems like Windows 7, which has reached its end of life and is no longer receiving security updates from Microsoft. This makes such systems more vulnerable to infections and attacks, including remote access Trojans (RATs).

A. OWIN23 uses a legacy version of Windows that is not supported by the EDR: This is the most probable cause because the lack of support means that the EDR solution may not fully protect or monitor this system, making it an easy target for infections.

B. LN002 was not supported by the EDR solution and propagates the RAT: While LN002 is unmanaged, it is less likely to propagate the RAT to OWIN23 directly without an established vector.

C. The EDR has an unknown vulnerability that was exploited by the attacker: This is possible but less likely than the lack of support for an outdated OS.

D. OWIN29 spreads the malware through other hosts in the network: While this could happen, the status indicates OWIN29 is in a bypass mode, which might limit its interactions but does not directly explain the infection on OWIN23.

Determining if attacks are from the same actor requires unique attribution. Let’s analyze:

A. Code stylometry:Analyzes coding style to identify authorship, the best method for linking malware to a specific actor per CAS-005’s threat intelligence focus.

B. Common IOCs:Indicates similar attacks but not necessarily the same actor.

C. IOCextractions:Similar to B, lacks specificity for attribution.

The table shows that the user "SALES1" is consistently blocked despite having met the MFA requirements. The common factor in these blocked attempts is the source IP address (8.11.4.16) being identified as from Germany while the user is assigned to France. This discrepancy suggests that the network geolocation is being misidentified by the authentication server, causing legitimate access attempts to be blocked.

Why Network Geolocation Misidentification?

Geolocation Accuracy: Authentication systems often use IP geolocation to verify the location of access attempts. Incorrect geolocation data can lead to legitimate requests being denied if they appear to come from unexpected locations.

Security Policies: Company security policies might block access attempts from certain locations to prevent unauthorized access. If the geolocation is wrong, legitimate users can be inadvertently blocked.

Consistent Pattern: The user "SALES1" from the IP address 8.11.4.16 is always blocked, indicating a consistent issue with geolocation.

Other options do not align with the pattern observed:

A. Bypass MFA requirements: MFA is satisfied, so bypassing MFA is not the issue.

C. Administrator access policy: This is about user access, not specific administrator access.

D. OTP codes: The user has satisfied MFA, so OTP code configuration is not the issue.

SecurityX CAS-005 network architecture objectives emphasize limiting exposure of vulnerable systems by using application-aware firewalls with strict rule sets.

This approach directly reduces the attack surface by allowing only approved application traffic to and from the vulnerable systems, mitigating risk until systems are patched or replaced.

EDR (A) enhances detection but doesn’t inherently reduce the exposed services.

Network segmentation in monitor mode (B) doesn’t block threats.

IDS (C) detects activity but does not block it.

To ensure that logs from a legacy platform are properly retained beyond the default retention period, configuring the SIEM to aggregate the logs is the best approach. SIEM solutions are designed to collect, aggregate, and store logs from various sources, providing centralized log management and retention. This setup ensures that logs are retained according to policy and can be easily accessed for analysis and compliance purposes.

The SIEM report shows that some devices, such as VM003 (Critical server) and NET003 (IPS), are DOWN and therefore not reporting logs. In security monitoring, the absence of log data from critical systems creates dangerous blind spots. If logs are missing, attacks can proceed undetected, or investigations may lack the data needed for incident response.

The most effective action is to perform a non-reporting device assessment (C). This means identifying and correcting issues where devices fail to send logs, whether due to outages, misconfigurations, or integration gaps. Ensuring all critical devices, especially servers and intrusion prevention systems, consistently send logs to the SIEM strengthens overall visibility and monitoring posture.

Option A (time calibration) is important for correlation accuracy but does not address missing log feeds. Option B (centralized use case library) enhances detection but only works if the SIEM is receiving complete data. Option D (resiliency plan) helps protect log retention but is irrelevant if logs are never received in the first place.

Therefore, fixing non-reporting log sources is the highest priority to improve monitoring effectiveness.

Per SecurityX CAS-005 GRC principles, outsourcing a function does not transfer accountability for protecting personally identifiable information (PII). While subprocessors handle data, the originating organization remains responsible under most data protection laws and frameworks (e.g., GDPR, CCPA).

Due care in procurement (option B) is important, but it is a supporting concept, not the primary driver in this context.

Jurisdictional compliance (option D) is a requirement, but the underlying reason for risk assessment is that accountability for PII protection remains with the organization.

The code function provided in the question seems tobe designed to parse JSON formatted logs to check for an alarm state. Option A is a JSON format that matches the structure likely expected by the code. The presence of the "error_log" and "InAlarmState" keys suggests that this is the correct input format.

Excessive MFA push notifications can be a sign of an attempted push notification attack, where attackers repeatedly send MFA prompts hoping the user will eventually approve one by mistake. To mitigate this:

A. Provisioning FIDO2 devices: While FIDO2 devices offer strong authentication, they may not be practical for all users and do not directly address the issue of excessive push notifications.

B. Deploying a text message-based MFA: SMS-based MFA can still be vulnerable to similar spamming attacks and phishing.

C. Enabling OTP via email: Email-based OTPs add another layer of security but do not directly solve the issue of excessive notifications.

D. Configuring prompt-driven MFA: This option allows users to respond to prompts in a secure manner, often including features like time-limited approval windows, additional verification steps, or requiring specificactions to approve. This can help prevent users from accidentally approving malicious attempts.

Configuring prompt-driven MFA is the best solution to restrict unnecessary MFA notifications and improve security.