Volatility 3
Volatility 3 is a digital artifact extraction framework that extracts data from volatile memory (RAM) samples, providing visibility into the runtime state of a system. It's a rewritten version of Volatility, addressing technical and performance challenges, and is released under a custom license. The framework requires Python 3.7.0 or later and can be installed using pip or setup.py. It provides a range of plugins for analyzing memory samples, including support for Windows memory samples. The framework is widely used for extracting digital artifacts from volatile memory samples and is intended to introduce people to the techniques and complexities associated with this area of research. Volatility 3 is open-source and freely available on GitHub, with a growing community contributing to its development and maintenance.
FEATURES
ALTERNATIVES
A community-sourced repository of digital forensic artifacts in YAML format.
A forensic tool to find hidden processes and TCP/UDP ports by rootkits or other hidden techniques.
Customizable live OS constructor tool for remote forensics and incident response.
IE10Analyzer can parse and recover records from WebCacheV01.dat, providing detailed information and conversion capabilities.
CyLR is a Live Response Collection tool for quickly and securely collecting forensic artifacts from hosts with NTFS file systems.
A DFVFS backed viewer project with a WxPython GUI, aiming to enhance file extraction and viewing capabilities.
A collection of tools for extracting and analyzing information from .git repositories
PINNED
InfoSecHired
An AI-powered career platform that automates the creation of cybersecurity job application materials and provides company-specific insights for job seekers.
Mandos Brief Newsletter
A weekly newsletter providing cybersecurity leadership insights, industry updates, and strategic guidance for security professionals advancing to management positions.
Checkmarx SCA
A software composition analysis tool that identifies vulnerabilities, malicious code, and license risks in open source dependencies throughout the software development lifecycle.
Check Point CloudGuard WAF
A cloud-native web application and API security solution that uses contextual AI to protect against known and zero-day threats without signature-based detection.
Orca Security
A cloud-native application protection platform that provides agentless security monitoring, vulnerability management, and compliance capabilities across multi-cloud environments.
DryRun
A GitHub application that performs automated security code reviews by analyzing contextual security aspects of code changes during pull requests.
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.