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A comprehensive and unrestricted dataset of security incidents for research and decision-making
Cortex is a tool for analyzing observables at scale and automating threat intelligence, digital forensics, and incident response.
This article discusses the different types of remote timing attacks and provides defense strategies against them.
A security oriented, feedback-driven, evolutionary, easy-to-use fuzzer with interesting analysis options.
A BloodHoundAD Report Engine for Security Teams to identify Active Directory security vulnerabilities and harden common configuration vulnerabilities and oversights.
A collection of resources for practicing penetration testing
MFT and USN parser for direct extraction in filesystem timeline format with YARA rule support.
List of publicly disclosed vulnerabilities with security filters and detailed advisories.
A high-level C++ library for creating and decoding network packets with a Scapy-like interface.
A simplified UI for showing honeypot alarms for the DTAG early warning system
Learn how hackers find security vulnerabilities, exploit web applications, and how to defend against these attacks.
A cheat sheet providing examples of creating reverse shells for penetration testing.
Access a repository of Analytic Stories and security guides mapped to industry frameworks, with Splunk searches, machine learning algorithms, and playbooks for threat detection and response.
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.
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.