What is the main benefit of using Timesketch for incident response?

Timesketch allows multiple investigators to collaborate in real-time on a unified, searchable timeline of normalized event data aggregated from various forensic sources.

How does Timesketch handle large-scale forensic data?

Timesketch utilizes OpenSearch or Elasticsearch as a backend storage engine, providing high-performance search and filtering capabilities even for millions of events.

Can I import data from sources other than Plaso?

Yes, while Plaso is a primary integration, Timesketch supports direct ingestion of structured data through CSV and JSONL files using the timesketch_importer tool.

Does this skill assist with automated threat detection?

Yes, it provides guidance on using built-in analyzers for browser history, domain categorization, Sigma rule matching, and geo-location to find suspicious activity automatically.

Timesketch Forensic Timeline Builder

Name: Timesketch Forensic Timeline Builder
Author: micsapp

bymicsapp

0•

Seguridad y Pruebas

Builds collaborative forensic incident timelines using Timesketch to normalize and analyze multi-source event data for attack chain reconstruction.

This skill empowers security analysts to leverage Timesketch for reconstructing complex attack chains by normalizing logs from endpoints, servers, and cloud services into a unified, searchable timeline. It provides comprehensive guidance on the entire forensic workflow, from Docker-based deployment and data ingestion via Plaso, CSV, or JSONL, to utilizing automated analyzers and building collaborative investigation stories. By integrating with tools like Sigma and Dissect, it helps teams identify lateral movement, persistence, and exfiltration patterns efficiently while maintaining thorough documentation for incident reports.

Características Principales

01Automated forensic data ingestion from Plaso, CSV, and JSONL sources

020 GitHub stars

03Collaborative investigation features including shared sketches and stories

04Deployment guidance for Docker-based Timesketch environments

05MITRE ATT&CK mapping for structured incident reporting and analysis

06Integration with built-in analyzers for threat pattern identification

Casos de Uso

01Conducting collaborative forensic investigations across distributed security teams

02Reconstructing complex multi-stage attack chains during active incident response

03Normalizing disparate log sources into a single searchable forensic timeline

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills building-incident-timeline-with-timesketch

For use in Claude.ai and ChatGPT

Características Principales

01Automated forensic data ingestion from Plaso, CSV, and JSONL sources

020 GitHub stars

03Collaborative investigation features including shared sketches and stories

04Deployment guidance for Docker-based Timesketch environments

05MITRE ATT&CK mapping for structured incident reporting and analysis

06Integration with built-in analyzers for threat pattern identification

Casos de Uso

01Conducting collaborative forensic investigations across distributed security teams

02Reconstructing complex multi-stage attack chains during active incident response

03Normalizing disparate log sources into a single searchable forensic timeline

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add micsapp/micstec-skills building-incident-timeline-with-timesketch

For use in Claude.ai and ChatGPT