azu / logontracer

Investigate malicious Windows logon by visualizing and analyzing Windows event log

Concept

LogonTracer is a tool to investigate malicious logon by visualizing and analyzing Windows Active Directory event logs. This tool associates a host name (or an IP address) and account name found in logon-related events and displays it as a graph. This way, it is possible to see in which account login attempt occurs and which host is used.
This tool can visualize the following event id related to Windows logon based on this research.

• 4624: Successful logon
• 4625: Logon failure
• 4768: Kerberos Authentication (TGT Request)
• 4769: Kerberos Service Ticket (ST Request)
• 4776: NTLM Authentication
• 4672: Assign special privileges

More details are described in the following documents:

• Visualise Event Logs to Identify Compromised Accounts - LogonTracer -
• イベントログを可視化して不正使用されたアカウントを調査 (Japanese)

Additional Analysis

LogonTracer uses PageRank, Hidden Markov model and ChangeFinder to detect malicious hosts and accounts from event log.

With LogonTracer, it is also possible to display event logs in a chronological order.

Use LogonTracer

To use LogonTracer, you can:

• Install
• Use docker

Documentation

If you want to know more details, please check the LogonTracer wiki.

Architecture

LogonTracer is written in Python and uses Neo4j for database. The following tools are used.

• Python 3
• Neo4j for a graph database.
• Neo4j JavaScript driver for connects to Neo4j using the binary protocol.
• Cytoscape for visualizing a graph network.
• Flask is a microframework for Python.