analyzing-network-flow-data-with-netflow

Parse NetFlow v9 and IPFIX records to detect volumetric anomalies, port scanning, data exfiltration, and C2 beaconing patterns.

Skill by mukul975

IndexedApache-2.0★ 34,941

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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

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About

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.

Use cases: data

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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools: No tools found
Secrets: None asked for
Install scripts: None found
Runs as: Python package

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codeload.github.com · found in install command

Files it touches

~/.claude/skills/analyzing-network-flow-data-with-netflow

What's inside

Skill name: analyzing-network-flow-data-with-netflow
Description: 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.
License: Apache-2.0
Instructions: 45 lines in SKILL.md · view on GitHub

Before installing

Ships executable scripts

Files (4)

LICENSE
SKILL.md
api-reference.md · references/
agent.py · scripts/

SKILL.md (first lines)

# 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.

```bash
python scripts/agent.py --flow-file captured_flows.json --output netflow_report.json
```

## Examples

### Parse NetFlow v9 Packet
```python
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)
```

From mukul975/Anthropic-Cybersecurity-Skills, Apache-2.0.

Signals

Stars: 34,941
Forks: 4,256
Open issues: 24
Last commit (this folder): Jun 1, 2026 (5 months ago)
Last release: Jun 22, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License: Apache-2.0
Repository: github.com/mukul975/Anthropic-Cybersecurity-Skills
Website: mahipal.engineer/Anthropic-Cybersecurity-Skills/
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: GitHub github-graphql

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analyzing-network-flow-data-with-netflow skill. Agent Mart. https://agentmart.dev/skills/mukul975-analyzing-network-flow-data-with-netflow (last updated 2026-10-24)