building-super-timelines-with-plaso

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Generate log2timeline and Plaso super-timelines and triage them in Timesketch.

AI & Automation 46 stars 7 forks Updated 2 days ago MIT

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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. ## When to Use - Reconstructing the full sequence of events on a compromised host during incident response. - Correlating activity across many artifact sources ...

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Author
adriannoes
Repository
adriannoes/awesome-agentic-ai
Created
9 months ago
Last Updated
2 days ago
Language
Jupyter Notebook
License
MIT

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