KAPE vs Velociraptor
GitHub Stats
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.
About Velociraptor
Velociraptor is an endpoint visibility and collection tool designed for digital forensic investigations and incident response (DFIR). It allows security teams to hunt for artifacts across thousands of endpoints simultaneously, providing deep insights into system activities. Written in Go, Velociraptor is notable for its scalability and speed, enabling rapid response and comprehensive analysis in enterprise environments.
Platform Support
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Shared
KAPE only
Velociraptor only