# JPCERTCC/LogonTracer

Investigate malicious Windows logon by visualizing and analyzing Windows event log

Repository: https://github.com/JPCERTCC/LogonTracer
Canonical: https://ross.abutalabs.com/products/logontracer
Language: Python
License: NOASSERTION
License Family: other
Topics: security, dfir, javascript, visualization, active-directory, event-log, blueteam, python-3
Last push: 2026-08-02T02:31:38+00:00

## Health v2 (maintenance only)
Score: 80/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 95, release rhythm 48, longevity 100
- inputs: {"age_days": 3204, "days_push": 32, "days_rel": 133, "gap_med": null, "n_releases_24m": 1}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3221, forks 488 (observed 2026-08-28T04:07:49.756651+00:00)

## What it is
LogonTracer is a self-hosted DFIR tool that visualizes Windows Active Directory logon-related event logs as a graph of hosts and accounts to investigate malicious logons. Version 2 adds AI-powered analysis with LLM agents, MITRE ATT&CK mapping, and Sigma rule scanning of EVTX files.

## Use cases
- investigate malicious windows logons
- visualize active directory event logs as a graph
- identify compromised accounts from event id 4624 and 4625
- analyze lateral movement in active directory
- scan evtx files with sigma rules
- map logon activity to mitre att&ck tactics

## When to choose
- you need to trace which accounts and hosts were involved in suspicious logons
- you run Windows Active Directory and need DFIR visualization of event logs
- you want automated Sigma rule scanning of EVTX evidence
- you want AI-assisted threat assessment of logon graphs

## When to avoid
- you need real-time SIEM alerting rather than post-incident investigation
- you don't use Windows or Active Directory event logs
- you want a lightweight CLI without a Neo4j graph database dependency

## Facets
- artifact type: application
- maturity: active
- function: data-visualization, security, analytics, search-engine
- domain: security, analytics, developer-tools
- platform: python, self-hosted
- tags: dfir, active-directory, windows-event-log, neo4j, blueteam, incident-response, sigma-rules, llm-analysis, docker, web-server

## Member repositories
- JPCERTCC/LogonTracer (main) score 80

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:49.756651+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:44:20.322005+00:00, confidence not recorded.
  - readme: https://github.com/JPCERTCC/LogonTracer (fetched 2026-08-28T04:07:49.756651+00:00, sha ae74af9c6818)
- Data as of 2026-08-30T08:39:29.467469+00:00.