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CSA (312-39) SOC Simulation Lab

Master network security monitoring and data exfiltration hunting. In this module, you will evaluate the correct telemetry sources required to measure volumetric data transfers during an incident response investigation.

Scenario Context

Organization: Federal Dept. of Civilian Services
Phase: Detection & Analysis
Alert: Potential Data Exfiltration (Off-Hours)

At 03:00 AM, the EDR flagged a suspicious PowerShell script executing on an internal database admin's workstation. The script initiated an outbound connection over port 443 to an unknown offshore IP address.

The Syslog from the firewall shows the connection was ALLOWED. However, Syslog only tells you that a connection *happened*, not how much data was transferred. The CISO is demanding to know: "Did they steal a 5KB password file, or 50GB of sensitive database backups?" To answer this, you must pivot from event logs to volumetric network flow data.

Telemetry: SIEM Traffic Flow Dash

Splunk SPL - Exfiltration Hunt Source: Core Router Flow Exporter
# Hunting for volumetric anomalies from the compromised host
index=network sourcetype=flow_data src_ip="10.50.2.15" action=allowed
| stats sum(bytes_out) as total_bytes_out, sum(packets) as total_pkts 
  by dest_ip, dest_port, protocol
| eval mb_out = round(total_bytes_out/1024/1024, 2)
| where mb_out > 500  # Flag anything over 500MB
| sort - mb_out

# RESULT:
dest_ip         dest_port   protocol   mb_out      total_pkts
198.51.100.88   443         TCP        45,102.40   31,409,211

The query confirms a massive ~45GB outbound transfer. What underlying protocol is responsible for exporting this specific metadata (IPs, ports, byte counts) from the router to the SIEM?

Question

A government agency responsible for protecting sensitive information needs to monitor its network for unusual data exfiltration attempts. Since traditional log data alone is insufficient to identify suspicious traffic patterns, the SIEM team decides to integrate traffic flow data into their system. This data will help detect anomalies, such as large data transfers to unauthorized destinations or unexpected traffic spikes. The team must choose the appropriate protocol to collect IP traffic information from network devices like routers and switches. Which protocol should be used to collect this data?