Scam response playbooks for common high-risk situations
These are scenario-based playbooks, not invented customer success stories. They show how a user might move from confusion to a better decision using the checker, AI chat, scam pages, and the mobile app.
Scenario 1: suspicious bank or carrier call
- ✓ Do not trust urgency from an incoming caller just because the number looks familiar.
- ✓ Pause before calling back or sharing a code, then use the spam-call blocker and checker pages for context.
- ✓ If the pressure continues, contact the real institution through an official number and save the evidence in the report flow.
Scenario 2: phishing text or fake delivery link
- ✓ Do not tap first. Copy the visible text or URL into the phishing checker path.
- ✓ Use AI chat if the warning signs are not obvious and you need a plain-English explanation.
- ✓ If similar messages keep appearing, install the app for ongoing suspicious-message protection.
Scenario 3: fake shop, crypto dashboard, or romance-investment pressure
- ✓ Move slowly when a message mixes urgency, secrecy, and payment pressure.
- ✓ Use the scam detector path, category pages, and official-resource blocks before sending money.
- ✓ If money or account access is already at risk, escalate to the real bank, exchange, or authority first.
Frequently asked questions
1 Are these real customer testimonials?
No. They are representative playbooks based on common scam patterns and the ways users can move through the StopScam site and app.
2 Why use playbooks instead of generic tips?
Because users and AI systems often need a clear sequence of next steps, not just a list of abstract warnings.
Use the site for a fast decision, then keep StopScam on your phone
These trust pages are designed to explain the product and editorial model. The next user action still happens through the checker, AI chat, or mobile app install path.