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Monitor fake event pages and impersonating event listings

Detect fake event pages, impersonating event listings, and unauthorized use of your event brand across the public web and social platforms.

The problem

Fake event pages funnel fans toward counterfeit tickets, scam giveaways, and credential-harvesting forms — and look indistinguishable from legitimate listings at first glance.

Why it matters now

AI-generated event creatives and self-serve event platforms make spoofed listings easy to publish in minutes.

How Verasity™ solves it

Event listing discovery

Continuous monitoring across major event platforms and listing sites.

Visual matching

Image and DOM-based matching of your event pages and creatives.

Form and payment indicators

Detect credential-capture forms and payment-diversion patterns on event pages.

Takedown workflows

Pre-filled reports for event platforms and host abuse desks.

Step-by-step workflow

  1. 1

    Register event names, dates, and authorized listing channels.

  2. 2

    Continuous monitoring across listing platforms and social posts.

  3. 3

    Risk-score by form, payment, and infrastructure signals.

  4. 4

    Package evidence and support platform reporting.

  5. 5

    Track outcomes and brief event marketing on disrupted listings.

Example listing

A free event-listing site hosts a near-pixel-perfect copy of your event page, complete with a fake RSVP form harvesting personal data. Verasity™ detects it, scores High, and packages a takedown request.

Outcomes you can expect

  • Reduced fan exposure to fake event pages
  • Lower data-harvesting and payment-diversion impact
  • Faster, evidence-backed reporting around launches
  • Defensible event-brand protection metrics

Metrics tracked

  • Fake event pages detected per event
  • Median time-to-report by platform
  • Fan complaints correlated to detected listings
  • Disrupted campaigns per quarter

Related product module

Threat Intelligence & Brand Monitoring

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Digital Brand Risk Playbook

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Frequently Asked Questions

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