GRR Rapid Response
Tool and Usage
- Apache License 2.0
- Programming language
- Latest release
- Latest release date
Why this tool?
The goal of the GRR tooling is to support digital forensics and investigations. By using a fast and scalable model, analysts can quickly perform their analysis. One of the main features is the ability to search for particular information or details. This process is called hunting.
How it works
GRR uses a Python-based agent that is installed on the target systems. The server infrastructure, which also uses Python, perform the management and communicates with the client systems.
The analyst can use the central management console to configure flows. A flow has a particular task that may request for data on client systems. This could be retrieving something like a MAC address or looking for particular files on the system and show the details. The flows are used as part of a hunt, where one is actively seeking for the presence or the absence of some information. The analyst can take decisions based on the outcome.
Usage and audience
GRR Rapid Response is commonly used for digital forensics, intrusion detection, or threat hunting. Target users for this tool are forensic specialists, security professionals, and system administrators.
- Focus on high performance
- Web interface
Tool review and remarks
The review and analysis of this project resulted in the following remarks for this security tool:
- + More than 25 contributors
- + More than 3000 GitHub stars
- + The source code of this software is available
- + Supported by a large company
Supported operating systems
GRR Rapid Response is known to work on Linux, Microsoft Windows, and macOS.
GRR Rapid Response alternatives
Similar tools to GRR Rapid Response:
MIG, or Mozilla InvestiGator, is a security tool to perform forensic investigation in real-time on Linux, macOS, and Windows systems.
The Sleuth Kit is a toolkit to investigate disk images and do forensic analysis on them.
Volatile memory framework used for forensics and analysis purposes. The framework is written in Python and runs on almost all platforms.
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