Curated datasets for developing and testing detections in SIEM installations.
IntelMQ is a solution for IT security teams (CERTs & CSIRTs, SOCs abuse departments, etc.) for collecting and processing security feeds (such as log files) using a message queuing protocol. It's a community driven initiative called IHAP1 (Incident Handling Automation Project) which was conceptually designed by European CERTs/CSIRTs during several InfoSec events. Its main goal is to give to incident responders an easy way to collect & process threat intelligence thus improving the incident handling processes of CERTs. IntelMQ is frequently used for: automated incident handling situational awareness automated notifications as data collector for other tools and more! The design was influenced by AbuseHelper however it was re-written from scratch and aims at: Reducing the complexity of system administration Reducing the complexity of writing new bots for new data feeds Reducing the probability of events lost in all process with persistence functionality (even system crash) Use and improve the existing Data Harmonization Ontology Use JSON format for all messages Provide easy way to store data into databases and log collectors such as PostgreSQL, Elasticsearch and Splunk Pro
Curated datasets for developing and testing detections in SIEM installations.
Real-time, container-based file scanning system for threat hunting and incident response.
Public access to Indicators of Compromise (IoCs) and other data for readers of Security Scorecard's technical blog posts and reports.
AbuseIPDB offers tools and APIs to report and check abusive IPs, enhancing network security.
Real-time monitoring tool for newly issued SSL certificates.
A modular tool for collecting intelligence sources for files and outputting in CSV format.