KAPE vs OpenCTI
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 OpenCTI
OpenCTI is an open-source platform for managing cyber threat intelligence knowledge and observables. Built on a STIX2-native data model, it provides a unified view of threat data including threat actors, intrusion sets, campaigns, malware, vulnerabilities, and their relationships. OpenCTI uses a graph database (Neo4j or Amazon Neptune) to store and visualize complex relationships between entities, making it easy to understand how threat actors, TTPs, and infrastructure are connected. It supports connectors for automatic ingestion from MISP, AlienVault, VirusTotal, Shodan, and dozens of other sources. The platform includes role-based access control, workflow management for analyst collaboration, and export capabilities for integration with SIEMs and SOAR platforms.
Platform Support
Tags
KAPE only
OpenCTI only