ninoseki/ioc-extractor

🐸 Identify anything. pyWhat easily lets you identify emails, IP addresses, and more. Feed it a .pcap file or some text and it'll tell you what it is! 🧙‍♀️

A library and command line tool for extracting indicators of compromise (IOCs) from security reports in PDF, HTML, Word, or text format

Simple, effective, and modular package for parsing observables (indicators of compromise (IOCs), network data, and other, security related information) from text. It uses grammars rather than regexes which makes it more readable, maintainable, and hackable. Explore our interactive documentation here: https://hightower.space/ioc-finder/

Fang and defang indicators of compromise. You can test this project in a GUI here: http://ioc-fanger.hightower.space .

A simple application that extracts your IoCs from garbage input and checks their reputation using multiple CTI services.

Python CLI tool for rapid IOC analysis (IPs, Domains, CVEs) using 6 free Threat Intel APIs. Outputs: Color-coded Excel, JSON, CSV. Uses: VT, Shodan, AbuseIPDB.

Indicators of Compromise (IOCs) from malware or suspicious network traffic

Indicators of Compromises (IOC) of our various investigations

The fastest way to identify anything!