Silk Guardian
Silk Guardian is an anti-forensic Linux Kernel Module (LKM) kill-switch that monitors USB ports for changes, deletes files, and shuts down the computer. It was inspired by usbkill and serves as a fun project for learning. The tool is designed to prevent unauthorized access to the system and enhance security, especially in scenarios where physical access to the machine is a concern. To run Silk Guardian, compile the module using 'make', load it using 'sudo insmod silk.ko', and ensure the linux-headers package is installed. It is recommended to use (partial) disk encryption in conjunction with this tool for enhanced protection.
FEATURES
ALTERNATIVES
View physical memory as files in a virtual file system for easy memory analysis and artifact access.
A Cross-Platform Forensic Framework for Google Chrome that allows investigation of history, downloads, bookmarks, cookies, and provides a full report.
A Python 2.x tool for memory analysis on Mac OS X systems with support for various OS versions and memory image export capabilities.
A digital artifact extraction framework for extracting data from volatile memory (RAM) samples, providing visibility into the runtime state of a system.
A script for extracting common Windows artifacts from source images and VSCs with detailed dependencies and usage instructions.
PINNED
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.
Mandos Brief Newsletter
Stay ahead in cybersecurity. Get the week's top cybersecurity news and insights in 8 minutes or less.
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.
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.