An extendable tool to extract and aggregate IOCs from threat feeds. Integrates out-of-the-box with ThreatKB and MISP, and can fit seamlessly into any existing workflow with SQS, Beanstalk, and custom plugins. Currently used by InQuest Labs IOC-DB: https://labs.inquest.net/iocdb Overview: ThreatIngestor can be configured to watch Twitter, RSS feeds, sitemap (XML) feeds, or other sources, and extract meaningful information such as malicious IPs/domains and YARA signatures, and send that information to another system for analysis. Try it out now with this quick walkthrough, read more ThreatIngestor walkthroughs on the InQuest blog, and check out labs.inquest.net/iocdb, an IOC aggregation and querying tool powered by ThreatIngestor. Installation: ThreatIngestor requires Python 3.6+, with development headers. Install ThreatIngestor from PyPI: pip install threatingestor. Install optional dependencies for using some plugins, as needed: pip install threatingestor[all]. View the full installation instructions for more information. Usage: Create a new config.yml file, and configure each source and operator module you want to use. (See config.example.yml for layout.) Then run the sc
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Knowledge base workflow management dashboard for YARA rules and C2 artifacts.
Automatically curate open-source Yara rules and run scans with YAYA.
Python APIs for serializing and de-serializing STIX2 JSON content with higher-level APIs for common tasks.
A collection of APT and cybercriminals campaigns with various resources and references.
HoneyDB is a honeypot-based threat intelligence platform that provides real-time insights into attacker behavior and malicious activity on networks.
Facilitates distribution of Threat Intelligence artifacts to defensive systems.
A platform for accessing threat intelligence and collaborating on cyber threats.
Official repository of YARA rules for threat detection and hunting
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