GRR Rapid Response
Apache-2.0๐ง 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.
Installation
Docker
$ docker pull ghcr.io/google/grr:latestpip (server)
$ pip install grr-response-serverpip (client)
$ pip install grr-response-clientUse 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
Details
- Category
- ๐ง Threat Intelligence
- Language
- Python
- Repository
- google/grr
- License
- Apache-2.0
- Platforms
- ๐งlinux๐macos๐ชwindows
Links
Alternatives & Comparisons
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Compare GRR Rapid Response vs osqueryMore in Threat Intelligence
MISP
PHP/PythonOpen-source threat intelligence and sharing platform. Structured IOC management, feeds, correlation, and STIX/TAXII export.
OpenCTI
TypeScript/PythonCyber threat intelligence platform. Knowledge management for threat data with STIX2 native storage and graph visualization.
TheHive
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KAPE
C#Kroll Artifact Parser and Extractor. Fast triage collection and parsing of forensic artifacts from Windows, macOS, and Linux.
Cortex
Scala/PythonObservable analysis and active response engine. Analyze IOCs at scale with 100+ analyzers for IPs, hashes, URLs, and domains.
osquery
C++SQL-powered endpoint visibility. Query operating system state as a relational database for security monitoring and compliance.