You work for a large international company that has several Compute Engine instances running in production. You need to configure monitoring and alerting for Compute Engine instances tagged with compliance=pci that have an external IP address assigned. What should you do?
Answer(s): D
The correct approach is to use the PUBLIC_IP_ADDRESS SHA detector, which already identifies Compute Engine instances with external IPs. You can then check for the compliance=pci tag on those instances to scope the findings. This leverages built-in SHA functionality instead of creating custom modules, providing efficient monitoring and alerting for PCI-tagged instances with external IPs.
Your company's analyst team uses a playbook to make necessary changes to external systems that are integrated with the Google Security Operations (SecOps) platform. You need to automate the task to run once every day at a specific time. You want your solution to minimize maintenance overhead. What should you do?
Answer(s): C
The best solution is to create a Cron Scheduled Connector in Google SecOps and configure a playbook trigger to execute based on the cases generated by the connector. This allows the playbook to run automatically at a specific daily time with minimal maintenance overhead, leveraging built-in scheduling and orchestration rather than requiring custom jobs or external scripts.
You have discovered that a server that hosts an internal web application has been accidentally exposed to the internet for 48 hours. Logging is enabled on the server. You want to use Google Security Operations (SecOps) to run a UDM search against the server logs to identify whether there have been any successful exploitations against it. What event field search should you use?
To check for successful exploitations, you need to look for abnormal process launches and commands that indicate post-exploitation activity. In Google SecOps UDM, this is done by searching with the metadata.event_type field, which classifies events such as process execution. Unusual or rarely seen processes provide strong indicators of compromise.
You have been tasked with creating a YARA-L detection rule in Google Security Operations (SecOps). The rule should identify when an internal host initiates a network connection to an external IP address that the AppliedThreat Intelligence Fusion Feed associates with indicators attributed to a specific Advanced Persistent Threat 41 (APT41) threat group. You need to ensure that the external IP address is flagged if it has a documented relationship to other APT41 indicators within the Fusion Feed. How should you configure this YARA-L rule?
Answer(s): B
The correct configuration is to join live network connection events with Fusion Feed data on the external IP address and filter for explicit associations with APT41 or related indicators. This ensures that the detection not only matches direct IP addresses but also flags those with documented relationships to APT41 in the Fusion Feed, providing broader and more accurate detection than static lists or general confidence scores.
You are writing a detection rule in Google Security Operations (SecOps) SIEM that sends a risk score to the alert. You have access to Google Threat Intelligence (GTI) data through your Google SecOps subscription. You need to ensure that the threat score output in the detection logic informs the alert's risk score and is available for future detections. What should you do?
Answer(s): A
The correct method is to use the outcomes section of the YARA-L detection logic to apply logic on UDM enrichment fields (including GTI data), calculate the total risk outcome, and store it in the risk_score variable.This ensures the risk score is attached to the alert and available for correlation in future detections.
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