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Detect customer-targeting scams using your brand

Find and shut down phishing kits, fake support pages, scam landing pages, and fraudulent campaigns that target your customers in your brand's name.

The problem

Customer scams using your brand erode trust, drive support volume, and trigger chargebacks — yet most security programs only monitor internal exposure.

Why it matters now

Generative AI makes high-fidelity scam pages disposable and cheap. Customer-facing brands now face continuous, distributed scam pressure.

How Verasity™ solves it

Scam page discovery

Detect customer-facing phishing, refund, and support scam pages tied to your brand.

Campaign attribution

Link scam pages to shared infrastructure, kits, and threat actor patterns.

Customer comms support

Evidence packages and templates for customer notifications and platform escalations.

Takedown automation

Submission workflows for hosts, registrars, ads, and social platforms.

Step-by-step workflow

  1. 1

    Register customer-facing brand strings and product names.

  2. 2

    Continuous detection of scam pages, ads, and posts targeting customers.

  3. 3

    Cluster pages by infrastructure and risk-score by impact.

  4. 4

    Submit takedowns and notify support of active scams.

  5. 5

    Report scams disrupted and customer-impact metrics monthly.

Example scam

A 'gift card refund' page convinces customers to enter card details. Verasity™ detects it within hours, captures evidence, and pushes a host takedown while warning your support team.

Outcomes you can expect

  • Reduced customer fraud and chargebacks
  • Lower support volume from scam victims
  • Protected customer trust and brand reputation
  • Audit-ready evidence of customer protection

Metrics tracked

  • Active scams detected per week
  • Median time-to-takedown
  • Customer reports linked to known scams
  • Estimated fraud value disrupted

Related product module

Threat Intelligence & Brand Monitoring

Explore

Read the guide

Digital Brand Risk Playbook

Download

Frequently Asked Questions

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