building-incident-timeline-with-timesketch
Helps your agent build a timeline of security events. It allows investigators to analyze data from multiple sources to understand what happened.
What it does
Timesketch helps security teams organize and analyze computer event data to understand what happened during an incident. It brings together information from various sources into a searchable timeline and allows multiple people to collaborate.
When to use it
- ✓When you need to understand the order of events in a security investigation.
- ✓When multiple people need to analyze and comment on the same incident data.
- ✓To document the sequence of a cyberattack.
Example of what to ask your AI
“Create an investigation timeline for incident X from the collected logs.”
Want more? Open the sections below.
How to use
The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.
Skill link
Ready-to-paste message
How it works
Timesketch takes log data and artifacts from computers, organizes everything into a timeline, and lets you search, tag, and add notes to understand what happened.
Installation
Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.
In the terminal (Claude Code, Codex, Cursor), in your project folder:
npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill building-incident-timeline-with-timesketchOr download just the file:
curl -L https://raw.githubusercontent.com/mukul975/Anthropic-Cybersecurity-Skills/main/skills/building-incident-timeline-with-timesketch/SKILL.md -o SKILL.mdTechnical content (original SKILL.md)
Original text by the author, straight from GitHub.
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)
…
FAQ
What is 'forensics'?
Forensics is the analysis of digital evidence to understand crimes or security incidents.
What are 'logs'?
Logs are automatic records of activities that a computer or program performs. They are like a diary of everything that happens.
What does 'collaborative' mean?
Collaborative means that multiple people can work together on the same task at the same time, like on a shared document.
Details
Original description by the author
Build collaborative forensic incident timelines using Timesketch to ingest, normalize, and analyze multi-source event data (including Plaso output) for attack chain reconstruction and investigation documentation. Use when reconstructing the sequence of events during an incident investigation or when multiple analysts need to jointly tag, annotate, and search a shared DFIR timeline.
Popularity
- GitHub stars
- 35k
- Ranking position
- #5539
- License
- Apache-2.0
- Updated
- 8/31/2026
Comments
- …
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