MrJayTechie

MrJayTechie / Dissectify

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Dissectify — macOS Forensic Analysis Toolkit. Collection health validation, 61 artifact parsers, XLSX export, and Velociraptor collector builder in one terminal UI.

43
3
100% credibility
Found May 01, 2026 at 43 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

Dissectify is a macOS forensic toolkit that automates collecting system artifacts via Velociraptor, validates them, parses with custom plugins, and exports analyst-ready Excel workbooks.

How It Works

1
🔍 Discover Dissectify

You hear about a simple tool that makes investigating Mac computers easier for security checks.

2
📥 Get it running

Download and double-click to start – it sets everything up automatically on your Mac.

3
⚙️ Prepare your kit

Grab the latest data-gathering tools and ready-made checklists with one click.

4
🚀 Gather clues from the Mac

Create a portable collector, run it on the target Mac, and bring back the zipped clues.

5
✅ Check and polish

Drop the clues folder in, run a quick health scan, and watch it flag any issues or missing pieces.

6
📊 Create your report

Hit generate to turn raw clues into a neat Excel workbook with sheets for every category of findings.

🎉 Review your insights

Open the colorful spreadsheet to explore browser history, messages, apps used, and security settings effortlessly.

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Star Growth

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AI-Generated Review

What is Dissectify?

Dissectify is a Python terminal toolkit for macOS forensic analysis, handling artifact collection, health validation, parsing, and XLSX export in one TUI. It builds Velociraptor collectors from YAML artifacts, checks for issues like missing SQLite WAL files or SIP blocks, then runs 61 custom parsers on browsers, iMessage, KnowledgeC, and more. Turns raw Velociraptor zips into analyst-ready spreadsheets fast.

Why is it gaining traction?

Auto-downloads Velociraptor binaries, generates spec.yaml collectors with copy-paste deploy commands, and delivers visual health summaries with per-category breakdowns. The tabbed interface with autocomplete beats juggling separate tools, while one-click workbook generation skips manual parsing. Python pip install or double-click setup hooks DFIR folks tired of browser UIs.

Who should use this?

Incident responders triaging live Mac collections for persistence or user activity, forensic analysts extracting comms artifacts like FaceTime or TCC permissions, or DFIR teams validating Velociraptor dumps before deep dives. Perfect for anyone chaining collection builder, health checks, and export in terminal workflows.

Verdict

Worth a spin for macOS triage despite 43 stars and 1.0% credibility—solid README workflows and demo make it approachable, but test thoroughly as it's early-stage with room for broader artifact coverage.

(198 words)

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