A live forensics tool for Linux that collects system artifacts and logs them to CSV files for compromise detection.
FastIR Collector Linux is a live forensics tool that collects system artifacts from running Linux machines and logs them to CSV files. It helps security analysts detect early signs of compromise by analyzing gathered data like kernel information, user activities, and system configurations. The tool requires root access to ensure comprehensive data collection across the system.
Incident responders, forensic analysts, and security professionals who need to perform live forensics on Linux systems during security investigations.
It provides a lightweight, scriptable approach to artifact collection with structured CSV output, enabling easy integration into automated analysis workflows compared to more complex forensic suites.
FastIR Collector Linux is a live forensics acquisition tool designed to gather various system artifacts from a running Linux machine. It records findings in CSV files, enabling analysts to detect early signs of compromise through artifact analysis. The tool must be executed with root privileges to access necessary system data.
FastIR Collector Linux emphasizes simplicity and scriptability by outputting structured CSV data, making it suitable for automated analysis pipelines in incident response scenarios.
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Logs all findings in CSV files, enabling easy parsing and integration into automated analysis pipelines, as emphasized in the README for scriptability.
Collects a wide range of system artifacts including kernel info, user data, autoruns, and disk details, making it useful for detecting early compromise signs.
Designed as a single Python 2 file with a focus on simplicity, allowing quick deployment and execution in live forensics scenarios.
Built to run with root privileges, ensuring thorough data collection from protected system areas without permission issues.
The README explicitly states it is no longer maintained and recommends using a new tool, making it risky for production use due to lack of fixes or updates.
Relies on Python 2 starting from version 2.4, which is end-of-life, insecure, and incompatible with modern systems and libraries.
The README is minimal and primarily redirects to a new project, offering little guidance on advanced usage or troubleshooting.