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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.
Open source penetration testing tool for detecting and exploiting command injection vulnerabilities.
A library to access the Windows New Technology File System (NTFS) format with read-only support for NTFS versions 3.0 and 3.1.
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Fabric Platform by BlackStork
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.
Free
Security Operations
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Wiz
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.
Commercial
Cloud Security
Adversa AI
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.
Commercial
AI Security