Parse NetFlow v9 and IPFIX records to detect volumetric anomalies, port scanning, data exfiltration, and C2 beaconing patterns. Uses the Python netflow library to decode flow records, builds traffic baselines, and applies statistical analysis to identify flows with abnormal byte counts, connection d

Analyzing Network Flow Data with Netflow When to Use When investigating security incidents that require analyzing network flow data with netflow When building detection rules or threat hunting queries for this domain When SOC analysts need structured procedures for this analysis type When validating security monitoring coverage for related attack techniques Prerequisites Familiarity with network security concepts and tools Access to a test or lab environment for safe execution Python 3.8+ with required dependencies installed Appropriate authorization for any testing activities Instructions 1. Install dependencies: pip install netflow 2. Collect NetFlow/IPFIX data from routers or use the built in collector: python m netflow.collector p 9995 3. Parse captured flow data using netflow.parse packet() . 4. Analyze flows for: Port scanning: single source to many destinations on same port Data exfiltration: high byte count outbound flows to unusual destinations C2 beaconing: periodic connections with consistent intervals Volumetric anomalies: traffic spikes beyond baseline thresholds 5. Generate a prioritized findings report. Examples Parse NetFlow v9 Packet

analyzing-network-flow-data-with-netflow