The MalShare Project is a collaborative effort to create a community-driven public malware repository that provides a platform for the security community to share and access malware samples, tools, and resources. Features include a free public API with up to 2000 daily calls, a GitHub repository, and partnerships with various cybersecurity organizations. The project also offers a blog for updates, a list of contributors, and a list of security reporters who have helped secure the platform.
A collection of public YARA signatures for various malware families.
A tool for tracking, scanning, and filtering yara files with distributed scanning capabilities.
DNSDumpster is a domain research tool for discovering and analyzing DNS records to map an organization's attack surface.
ONYPHE is a cyber defense search engine that discovers exposed assets and provides real-time monitoring to identify vulnerabilities and potential risks.
A free and open-source OSINT framework for gathering and analyzing data from various sources
A curated collection of Sigma & Yara rules and Indicators of Compromise (IOCs) for threat detection and malware identification.
Automatic YARA rule generator based on Koodous reports with limited false positives.
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.
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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.