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building-super-timelines-with-plaso

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Generate forensic super-timelines with Plaso's log2timeline.py, pinfo.py, psort.py, and psteal.py CLI tools (fusing file-system MACB, registry, EVTX, browser history, prefetch, LNK, and more), then triage and filter the results in Timesketch. Use when reconstructing the full sequence of events on a compromised or forensically imaged host during a DFIR investigation.

skills/building-super-timelines-with-plaso/SKILL.md

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# Building Super Timelines with Plaso

> **Authorized Use Only:** Build timelines only from evidence you are authorized to analyze. Work from forensic images/copies and preserve chain of custody.

## Overview

Plaso (Plaso Langar Að Safna Öllu) is the open-source engine behind **log2timeline**, the standard for building forensic *super timelines* — a single chronological, normalized view fusing hundreds of artifact types (file-system MACB times, registry, EVTX, browser history, prefetch, LNK, $UsnJrnl, syslog, and more) into one timeline. Plaso has three core CLI tools:

- **log2timeline.py** — extracts events from a source (disk image, mount point, directory, or device) into a `.plaso` storage file using its large parser/plugin set.
- **pinfo.py** — reports on the contents and processing metadata of a `.plaso` file.
- **psort.py** — post-processes, filters, deduplicates, time-zones, and exports the storage file to an output format (CSV, JSON-line, Elasticsearch, Timesketch, etc.).
- **psteal.py** — convenience wrapper that runs extraction + export in one step.

The resulting timeline is enormous, so analysts triage it in **Timesketch** — a collaborative, web-based timeline analysis platform that ingests `.plaso` files (or CSV/JSONL) and supports filtering, tagging, starring, saved searches, and automated analyzers.
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