cicflowmeter 0.4.2

CICFlowMeter Python Implementation

Python CICFlowMeter

This project is not maintained actively by me. If you found something wrong (bugs, incorrect results) feel free to create issues or pull requests.

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⚡️ Version 0.4.0: Major Refactor (June 2025)

• The tool now uses a custom FlowSession and the prn callback of Scapy's AsyncSniffer for all flow processing, instead of relying on Scapy's DefaultSession/session system.
• All flow logic, feature extraction, and output are now fully managed by the project code, not by Scapy internals.
• The process method always returns None, preventing unwanted packet printing by Scapy.
• Logging is robust: only shows debug output if -v is set.
• All flows are always flushed at the end, even for small pcaps.
• This project is a CICFlowMeter-like tool (see UNB CICFlowMeter), not Cisco NetFlow. It extracts custom flow features as in the original Java CICFlowMeter.
• The refactor does not change the set of features/fields extracted, only how packets are routed to your logic.

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Installation

git clone https://github.com/hieulw/cicflowmeter
cd cicflowmeter
uv sync
source .venv/bin/activate

Usage

usage: cicflowmeter [-h] (-i INPUT_INTERFACE | -f INPUT_FILE) (-c | -u) [--fields FIELDS] [-v] output

positional arguments:
  output                output file name (in csv mode) or url (in url mode)

options:
  -h, --help            show this help message and exit
  -i INPUT_INTERFACE, --interface INPUT_INTERFACE
                        capture online data from INPUT_INTERFACE
  -f INPUT_FILE, --file INPUT_FILE
                        capture offline data from INPUT_FILE
  -c, --csv             output flows as csv
  -u, --url             output flows as request to url
  --fields FIELDS       comma separated fields to include in output (default: all)
  -v, --verbose         more verbose

Convert pcap file to flow csv:

cicflowmeter -f example.pcap -c flows.csv

Sniff packets real-time from interface to flow request: (need root permission)

cicflowmeter -i eth0 -u http://localhost:8080/predict

References:

1. https://www.unb.ca/cic/research/applications.html#CICFlowMeter
2. https://github.com/ahlashkari/CICFlowMeter