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PyFunnels: Data Normalization for InfoSec Workflows

ID: 9c113a9b-62d3-5003-95d1-492929eece60

STIX ID: report--9c113a9b-62d3-5003-95d1-492929eece60

Feed Name: Black Hills Infosec Blog

Date Published: 2019-08-13

Date Updated: 2026-04-27

Author: BHIS

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This post introduces PyFunnels, a modular Python3 library designed to centralize and normalize data points (e.g., domains, IPs, URLs) from diverse security tools such as SpiderFoot, Nmap, TheHarvester, Recon-ng, and Photon, producing de-duplicated, aggregated results for automation and reuse. It outlines the project’s motivation, simple workflow (install, map tool outputs, instantiate, and call funnel_data), lessons learned in design, and a call for community contributions, with links to GitHub, PyPI, and a related whitepaper.

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