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GRR Rapid Response

Apache-2.0

๐Ÿง  Threat Intelligence ยท Python

GRR Rapid Response is an incident response framework developed at Google, focused on remote live forensics. It consists of a Python agent deployed to target systems and a Python server infrastructure that manages and communicates with agents. GRR enables security teams to collect forensic artifacts at scale across thousands of endpoints without disrupting operations. Analysts can remotely browse filesystems, collect specific files, dump process memory, query the Windows registry, search for IOCs, and execute YARA rules - all from a centralized web console. Its flow-based architecture allows complex investigation workflows to run asynchronously across the fleet. GRR's scalability makes it particularly valuable for large enterprises that need to investigate incidents affecting many machines simultaneously.

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Updated 1mo ago

Installation

Docker

$ docker pull ghcr.io/google/grr:latest

pip (server)

$ pip install grr-response-server

pip (client)

$ pip install grr-response-client

Use Cases

  • Collecting forensic artifacts from thousands of endpoints during incident response
  • Remotely browsing filesystems, registry, and process memory on compromised hosts
  • Running fleet-wide IOC searches using YARA rules and file hash matching
  • Executing asynchronous investigation workflows across large enterprise environments
  • Triaging compromised machines without disrupting ongoing operations

Tags

dfirremote-forensicsendpointartifact-collectionfleet-scalegoogle

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