/building-incident-timeline-with-timesketch

name: building-incident-timeline-with-timesketch
description: Build collaborative forensic incident timelines using Timesketch to ingest, normalize, and analyze multi-source
  event data for attack chain reconstruction and investigation documentation.
domain: cybersecurity
subdomain: incident-response
tags:
- timesketch
- timeline-analysis
- forensic-timeline
- plaso
- dfir
- incident-investigation
- collaborative-forensics
mitre_attack:
- T1070
- T1059
- T1053
version: '1.0'
author: mahipal
license: Apache-2.0
d3fend_techniques:
- Executable Denylisting
- Execution Isolation
- File Metadata Consistency Validation
- Content Format Conversion
- File Content Analysis
nist_csf:
- RS.MA-01
- RS.MA-02
- RS.AN-03
- RC.RP-01

Building Incident Timeline with Timesketch

Overview

Timesketch is an open-source collaborative forensic timeline analysis tool developed by Google that enables security teams to visualize and analyze chronological data from multiple sources during incident investigations. It ingests logs and artifacts from endpoints, servers, and cloud services, normalizes them into a unified searchable timeline, and provides powerful analysis capabilities including built-in analyzers, tagging, sketch annotations, and story building. Timesketch integrates with Plaso (log2timeline) for artifact parsing and supports direct CSV/JSONL ingestion for rapid timeline construction during active incidents.

When to Use

• When deploying or configuring building incident timeline with timesketch capabilities in your environment
• When establishing security controls aligned to compliance requirements
• When building or improving security architecture for this domain
• When conducting security assessments that require this implementation

Prerequisites

• Familiarity with incident response concepts and tools
• Access to a test or lab environment for safe execution
• Python 3.8+ with required dependencies installed
• Appropriate authorization for any testing activities

Architecture and Components

Core Components

• **Timesketch Server**: Web application with REST API for timeline management
• **OpenSearch/Elasticsearch**: Backend storage and search engine for timeline events
• **PostgreSQL**: Metadata storage for sketches, stories, and user data
• **Redis**: Task queue management for background processing
• **Celery Workers**: Asynchronous processing of timeline uploads and analyzers

Data Flow

Evidence Sources --> Plaso/log2timeline --> Plaso storage file (.plaso)
     |                                           |
     v                                           v
  CSV/JSONL --> Timesketch Importer --> OpenSearch Index
                                           |
                                           v
                                    Timesketch Web UI
                                    (Search, Analyze, Story)

Deployment

Docker Deployment (Recommended)

# Clone Timesketch repository
git clone https://github.com/google/timesketch.git
cd timesketch

# Run deployment helper script
cd docker
sudo docker compose up -d

# Default access: https://localhost:443
# Admin credentials generated during first run

System Requirements

• Minimum 8 GB RAM (16+ GB recommended for large investigations)
• 4 CPU cores minimum
• SSD storage for OpenSearch indices
• Docker and Docker Compose installed

Data Ingestion Methods

Method 1: Plaso Integration (Comprehensive)

# Process disk image with log2timeline
log2timeline.py --storage-file evidence.plaso /path/to/disk/image

# Process Windows event logs
log2timeline.py --parsers winevtx --storage-file windows_events.plaso /path/to/evtx/

# Process multiple evidence sources
log2timeline.py --parsers "winevtx,prefetch,amcache,shimcache,userassist" \
  --storage-file full_analysis.plaso /path/to/mounted/image/

# Import Plaso file into Timesketch
timesketch_importer -s "Case-2025-001" -t "Endpoint-WKS01" evidence.plaso

Method 2: CSV Import (Quick Ingestion)

message,datetime,timestamp_desc,source,hostname
"User login detected","2025-01-15T08:30:00Z","Event Recorded","Security Log","DC01"
"PowerShell execution","2025-01-15T08:31:15Z","Event Recorded","PowerShell","WKS042"

# Import CSV directly
timesketch_importer -s "Case-2025-001" -t "Quick-Triage" events.csv

Method 3: JSONL Import (Structured Data)

{"message": "Suspicious logon from 10.1.2.3", "datetime": "2025-01-15T08:30:00Z", "timestamp_desc": "Event Recorded", "source_short": "Security", "hostname": "DC01"}

Method 4: Sigma Rule Integration

# Upload Sigma rules for automated detection
timesketch_importer --sigma-rules /path/to/sigma/rules/

Analysis Workflow

Step 1: Create Investigation Sketch

1. Log into Timesketch web interface
2. Create new sketch (investigation case)
3. Add relevant timelines to the sketch
4. Set sketch description and tags

Step 2: Run Built-in Analyzers

Timesketch includes analyzers that automatically identify:

• **Browser Search Analyzer**: Extracts search queries from browser history
• **Chain of Events Analyzer**: Links related events (download -> execute)
• **Domain Analyzer**: Extracts and categorizes domain names
• **Feature Extraction Analyzer**: Identifies IPs, URLs, hashes
• **Geo Location Analyzer**: Maps events to geographic locations
• **Similarity Scorer**: Finds similar events across timelines
• **Sigma Analyzer**: Matches events against Sigma detection rules
• **Account Finder**: Identifies user account activity patterns
• **Tagger**: Applies labels based on predefined rules

Step 3: Search and Filter

# Search examples in Timesketch query language

# Find all events related to specific user
source_short:Security AND message:"john.admin"

# Find PowerShell execution events
data_type:"windows:evtx:record" AND event_identifier:4104

# Find lateral movement indicators
source_short:Security AND event_identifier: