The openioc-to-stix script converts OpenIOC v1.0 XML files into STIX Indicators, generating STIX v1.2 and CybOX v2.1 content. It is compatible with Python 2.6, 2.7, 3.4, 3.5, and 3.6, requiring mixbox >= v1.0.1, python-stix >= v1.2.0.2, and python-cybox >= 2.1.0.13. Note: Version 1.0.1 of openioc-to-stix has specific version requirements for python-stix and python-cybox.
A project focusing on understanding and combating threats to the Internet economy and net citizens.
An IOC tracker written in Python that queries Google Custom Search Engines for various cybersecurity indicators and monitors domain status using Google Safe Browsing APIs.
DNSDumpster is a domain research tool for discovering and analyzing DNS records to map an organization's attack surface.
An open source threat intelligence platform for storing and managing cyber threat intelligence knowledge.
Dorothy is a tool to test monitoring and detection capabilities for Okta environments, with modules mapped to MITRE ATT&CK® tactics.
Collection of Yara rules for file identification and classification
A daily collection of IOCs from various sources, including articles and tweets.
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Fabric Platform is a cybersecurity reporting solution that automates and standardizes report generation, offering a private-cloud platform, open-source tools, and community-supported templates.
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
Wiz Cloud Security Platform is a cloud-native security platform that enables security, dev, and devops to work together in a self-service model, detecting and preventing cloud security threats in real-time.
A cybersecurity platform that offers vulnerability scanning, Windows Defender and 3rd party AV management, and MFA compliance reporting, among other features.
Adversa AI is a cybersecurity company that provides solutions for securing and hardening machine learning, artificial intelligence, and large language models against adversarial attacks, privacy issues, and safety incidents across various industries.