analyzing-network-flow-data-with-netflow
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 durations, and periodic timing patterns.
How do I install this agent skill?
npx skills add https://github.com/mukul975/anthropic-cybersecurity-skills --skill analyzing-network-flow-data-with-netflowIs this agent skill safe to install?
- Gen Agent Trust Hubpass
The skill facilitates the analysis of network flow data (NetFlow v9/IPFIX) to identify security threats like port scanning, data exfiltration, and C2 beaconing. It utilizes standard Python libraries for parsing and statistical analysis, operating locally on provided data files without exhibiting malicious or suspicious network activity.
- Socketpass
No alerts
- Snykpass
Risk: LOW · No issues
- Runlayerwarn
1/4 files flagged
What does this agent skill do?
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
- Install dependencies:
pip install netflow - Collect NetFlow/IPFIX data from routers or use the built-in collector:
python -m netflow.collector -p 9995 - Parse captured flow data using
netflow.parse_packet(). - 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
- Generate a prioritized findings report.
python scripts/agent.py --flow-file captured_flows.json --output netflow_report.json
Examples
Parse NetFlow v9 Packet
import netflow
data, _ = netflow.parse_packet(raw_bytes, templates={})
for flow in data.flows:
print(flow.IPV4_SRC_ADDR, flow.IPV4_DST_ADDR, flow.IN_BYTES)
How can the creator link this skill?
Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.
<a href="https://skillzs.dev/skills/mukul975/anthropic-cybersecurity-skills/analyzing-network-flow-data-with-netflow">View analyzing-network-flow-data-with-netflow on skillZs</a>