Python package for finding and parsing indicators of compromise from text.

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  • License: GNU Lesser General Public License v3 or later (LGPLv3+) (GNU Lesser General Public License v3)
  • Author: Floyd Hightower
  • Tags asns , cidr , cidr ranges , cve , domain names , domains , email addresses , file paths , finding , google ads , indicators of compromise , iocs , ip addresses , ips , malware , md5 , observables , parsing , searching , sha1 , sha256 , threat hunting , threat intelligence , urls
  • Requires: Python >=3.10
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Project description

IOC Finder

PyPi PyPI - Downloads CI Lint codecov License: LGPL v3 live demo

Parse indicators of compromise (also known as "observables" or "network data" - e.g. urls, email addresses, etc) from text.

📖 Documentation (it's interactive!)

💪 I'm looking for sponsorship for this project. I have a number of improvements and helpful features I'd like to add and would appreciate some support as I invest this time and focus. If you use this project in a commercial capacity and/or find it useful, please consider contributing even a small amount. Thanks!

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  • License: GNU Lesser General Public License v3 or later (LGPLv3+) (GNU Lesser General Public License v3)
  • Author: Floyd Hightower
  • Tags asns , cidr , cidr ranges , cve , domain names , domains , email addresses , file paths , finding , google ads , indicators of compromise , iocs , ip addresses , ips , malware , md5 , observables , parsing , searching , sha1 , sha256 , threat hunting , threat intelligence , urls
  • Requires: Python >=3.10
Classifiers

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9.4.1

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