dfVFS, or Digital Forensics Virtual File System, provides read-only access to file-system objects from various storage media types and file formats. The goal of dfVFS is to provide a generic interface for accessing file-system objects, for which it uses several back-ends that provide the actual implementation of the various storage media types, volume systems and file systems. For more information see: * Project documentation: https://dfvfs.readthedocs.io/en/latest
A utility for recovering deleted files from ext3 or ext4 partitions.
LiME is a Linux Memory Extractor tool for acquiring volatile memory from Linux and Linux-based devices, including Android, with features like full memory captures and minimal process footprint.
A Python-based engine for automatic creation of timelines in digital forensic analysis
View physical memory as files in a virtual file system for easy memory analysis and artifact access.
Dissect is a digital forensics & incident response framework that simplifies the analysis of forensic artefacts from various disk and file formats.
usbdeath is an anti-forensic tool that manipulates udev rules for known USB devices and performs actions on unknown USB device insertion or specific USB device removal.
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.