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 iocs, indicators of compromise, parsing, finding, searching, threat intelligence, malware, threat hunting, observables, domains, domain names, asns, cidr, cidr ranges, ips, ip addresses, urls, email addresses, md5, sha1, sha256, google ads, cve, file paths

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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 for in a commercial capacity and/or find it useful, please consider contributing even a small amount. Thanks!

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Avatar for fhightower from gravatar.com fhightower

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View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: GNU Lesser General Public License v3 or later (LGPLv3+) (GNU Lesser General Public License v3)

Author: Floyd Hightower

Tags iocs, indicators of compromise, parsing, finding, searching, threat intelligence, malware, threat hunting, observables, domains, domain names, asns, cidr, cidr ranges, ips, ip addresses, urls, email addresses, md5, sha1, sha256, google ads, cve, file paths

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