02 / Assessment workflow

Sift

A scope-driven framework that turns scanning output into reviewable findings and reports.

Active developmentPython, assessment automation, reporting
Sift project artwork

THE QUESTION

How do you move from a list of hosts to a useful assessment record without losing the underlying evidence?

THE APPROACH

Sift joins preflight scope checks, adaptive Nmap scanning, service plugins, deterministic CVE matching, cross-host correlation, and Markdown and CSV reporting.

DESIGN DETAILS

  • A scope file drives internal, external, and web targets.
  • Adaptive scans deepen coverage where observed signals warrant it.
  • AI-generated plugins enter quarantine for review before they can run; AI narration does not create new findings.

CURRENT EVIDENCE

The repository documents the current modules and their behavior. Reported findings still require an assessor's review and target-side confirmation.

KEEP EXPLORING

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