GRR Rapid Response vs KAPE
GitHub Stats
About GRR Rapid Response
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.
About KAPE
KAPE (Kroll Artifact Parser and Extractor) is a triage tool that finds and parses forensic artifacts in minutes. Developed by Eric Zimmerman at Kroll, it operates in two phases: collection targets gather specific files and artifacts from a system, while module processors parse those artifacts into human-readable formats. KAPE ships with hundreds of pre-built targets covering browser history, event logs, registry hives, prefetch files, SRUM data, scheduled tasks, and virtually every forensic artifact type on Windows. Its module system integrates with Eric Zimmerman's tools (LECmd, PECmd, MFTECmd, etc.) and community parsers to process collected data automatically. KAPE is designed for speed - it can collect and parse a full forensic triage from a live system in under 10 minutes, making it the go-to tool for rapid incident response triage.
Platform Support
Tags
Shared
GRR Rapid Response only
KAPE only