Python script to parse the Most Recently Used (MRU) plist files on macOS into a more human-friendly format. Dependencies: hexdump.py, ccl_bplist.py, mac_alias. Related Information: https://www.mac4n6.com/blog/2016/7/10/new-script-macmru-most-recently-used-plist-parser
dc3dd is a patch to the GNU dd program, tailored for forensic acquisition with features like hashing and file verification.
A tool for restoring defocused and blurred images with various deconvolution techniques and fast processing capabilities.
Highlighter is a FireEye Market app that integrates with FireEye products to provide enhanced cybersecurity capabilities.
A library to access the Extensible Storage Engine (ESE) Database File (EDB) format used in various Windows applications.
A user-friendly and fast Forensic Analysis tool with features like tagging files and generating preview reports.
Turbinia is an open-source framework for automating the running of common forensic processing tools to help with processing evidence in the Cloud.
Browse and analyze iPhone/iPad backups with detailed file properties and various viewers.
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.
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.
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.