libregf is a library to access the Windows NT Registry File (REGF) format. It provides a way to read and parse registry files, with planned features including Dokan support and multi-threading support. The library is licensed under LGPLv3+ and is currently in alpha status. For more information, see the project documentation and building instructions.
CyLR is a Live Response Collection tool for quickly and securely collecting forensic artifacts from hosts with NTFS file systems.
RegRippy is a modern Python 3 alternative to RegRipper for extracting data from Windows registry hives.
Forensic imaging program with full hash authentication and various acquisition options.
Recreates the File/Directory tree structure from an extracted $MFT file with detailed record mapping and analysis capabilities.
A framework for orchestrating forensic collection, processing, and data export.
Highlighter is a FireEye Market app that integrates with FireEye products to provide enhanced cybersecurity capabilities.
A software utility with forensic tools for smartphones, offering powerful data extraction and decoding capabilities.
A digital artifact extraction framework for extracting data from volatile memory (RAM) samples, providing visibility into the runtime state of a system.
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.