Individual skill
generating-forensic-timelines-with-hayabusa
Run Hayabusa against collected Windows EVTX files to apply Sigma detection rules and produce a prioritized, chronological CSV/JSON timeline with severity levels, MITRE ATT&CK mappings, and per-host/per-Event-ID metrics. Use during DFIR triage to turn raw event logs into a fast, SIEM-free incident timeline, or to export results into Timesketch or Timeline Explorer for collaborative analysis.
skills/generating-forensic-timelines-with-hayabusa/SKILL.md
Source commit 54a798831d2266a3ca61ce68a7acb80b81160d57
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- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 35,964
- Repository last updated
- Aug 31, 2026
- License
- Apache-2.0
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- hayabusa Declared skill tag
- dfir Declared skill tag
- evtx Declared skill tag
- sigma Declared skill tag
- timeline Declared skill tag
- threat-hunting Declared skill tag
- windows-event-logs Declared skill tag
- forensics Declared skill tag
- security Derived category
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# Generating Forensic Timelines with Hayabusa
## Overview
Hayabusa (隼, Japanese for "peregrine falcon") is a Sigma-based threat-hunting and fast-forensics timeline generator for Windows event logs, developed by Yamato Security in Rust. It parses `.evtx` files (offline or via live analysis of a local host), applies a large built-in library of Sigma detection rules plus Hayabusa-specific rules, and produces a single, readable, chronological timeline of high-signal events with severity levels, MITRE ATT&CK tactics, and rule references. This collapses thousands of raw event-log records into a prioritized incident timeline that an analyst can review quickly.
Hayabusa is purpose-built for DFIR triage. Instead of loading EVTX into a SIEM, an investigator runs a single binary against a directory of collected logs and gets a CSV or JSON timeline plus metrics (events per computer, per Event ID, per channel). Because detections are Sigma-based, coverage tracks the open detection-engineering community, and rules can be updated on demand with `update-rules`. The tool's output integrates with downstream analysis: CSV opens in Timeline Explorer, JSONL feeds into `jq`, and `timesketch-*` profiles export directly into Timesketch.
A frequent finding in Hayabusa timelines is malicious PowerShell — MITRE ATT&CK **T1059.001 (Command and Scripting Interpreter: PowerShell)** — surfaced via Sigma rules over Event ID 4104 (script-block logging), 4103, and Sysmon process creation. This skill maps to NIST CSF **RS.AN-03** (analysis is performed to establish what has taken place during an incident).
## When to Use
- During incident-response triage, to turn a pile of collected `.evtx` files into a prioritized timeline.
- When you need fast, SIEM-free detection over Windows event logs with community Sigma coverage.
- To enumerate suspicious activity (PowerShell, account changes, lateral movement) across many hosts' logs.