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Quickstart

This guide walks you through the first scan: completing your brand profile, starting a scan, and reading the results.

The platform gates scanning on a complete profile. Open the Account page (/account) and fill in:

  • Identity — your brand name.
  • Owned domains — the domains you control (e.g. oktoboot.io). These are the seeds for lookalike generation.
  • Brand names — alternate names an attacker might impersonate.
  • Social handles — your official handles (PLATFORMS = twitter, linkedin, instagram, facebook, youtube, tiktok, github).
  • Keywords — terms associated with your brand, e.g. product names. The AI keyword expansion can infer these for you.
  • Webhook URL — optional; receives scan-completion notifications.

On the dashboard, click Start scan.

The scan runs through the eight pipeline stages. The dashboard’s “nerve center” shows a seven-phase SVG timeline (domain enumeration → auditing), a progress bar, and per-stage progress. Findings stream into the tables live over ActionCable (with a 2-second JSON poll as a fallback).

Sortable, filterable, resizable columns; 15 rows per page; a column-visibility dropdown. Click [ + ] on a row to expand its debug panel: signal strengths/weights/contributions, phishing flags, the AI summary, notes, and per-signal evidence.

Monitored handles plus social findings, with detection method, match signals, and cross-links. 10 rows per page.

Domains sharing a host IP or DNS A-record are clustered into campaigns. After the scan, LLM-written narratives explain each campaign.

When the scan completes, the platform automatically generates:

  • A full client report (PDF).
  • A one-page executive summary (PDF).

Both are served from the dashboard and are also delivered to your webhook as base64.

Open the Triage page to review findings as an analyst:

  • Filter by severity, unlabeled vs all, and AI-flagged false positives.
  • Mark each finding confirmed or benign (optionally with a reason).
  • Bulk-label with the checkboxes.
  • Generate a takedown email draft for a confirmed finding.

Your labels feed the adaptive learner, which tunes the scoring weights over time.

A healthy first scan produces:

  • A handful of lookalike domains (more for busy brand names).
  • Enrichment data on each (registrar, IP/ASN, HTTP fingerprint, screenshot).
  • A severity score and AI audit for medium+ findings.
  • Two PDF reports.
  • Campaign clusters for domains sharing infrastructure.