What are the signs of a scam website?

Potential reasons to investigate include unclear seller identity, unverifiable contact details, inconsistent terms, unusual payment demands, or limited independent information. No single sign establishes fraud.

⚠️ Scam Detection Tool · Free

Website Scam Detector

Not sure if a website is legitimate? Enter its domain and we'll instantly summarize selected technical data such as domain registration, DNS, email configuration, TLS, and security headers. These observations cannot verify a seller or predict whether an order will be fulfilled.

Free · Instant · No registration · Public data sources only

✓ 100% free ✓ No account needed ✓ Results in <5 seconds ✓ No data stored

Technical Scam Signals We Check

Scam websites always leave technical traces. Here's what our detector looks for.

📅

Domain Age

Most reliable scam signal

A recent domain registration can be a reason to check a seller more carefully, but legitimate businesses also use new domains and older domains can change hands.

✉️

Email Authentication (SPF & DMARC)

Strong combined signal

SPF and DMARC describe email-authentication settings. Some domains do not send mail; missing records do not show whether a website or seller is legitimate.

🔒

Security Headers

Technical posture signal

Security headers help browsers apply selected protections. Their presence does not verify a seller, and their absence alone does not establish fraud.

🌐

DNS & Infrastructure

Context signal

DNS records reveal the hosting provider and mail infrastructure. Combined with domain age and WHOIS data, they paint a picture of how the site was set up and how quickly.

10 Signs a Website Might Be a Scam

1 Domain registered very recently — recently registered; treat this as context and verify the seller independently.

2 No SPF or DMARC records — email configuration is not detected; this does not establish whether the store is trustworthy.

3 Prices too good to be true — 50–70% below market value for branded goods, electronics, or luxury items.

4 No independent reviews — searching the store name on Google, Trustpilot, or Reddit returns nothing or only recent fake positive reviews.

5 No real contact information — no working phone number, no verifiable address, no company registration number.

6 Impossible return policy — 3-day windows, requiring return to addresses in distant countries at the buyer's expense.

7 No credit card payments — only wire transfer, cryptocurrency, or gift cards, which have no buyer protection.

8 No HTTPS or missing security headers — especially on checkout pages asking for payment information.

9 New or suspicious social media presence — accounts created days ago with no real customer interaction or engagement.

10 Urgent pressure tactics — countdown timers, "only 1 left", "offer expires in 1 hour" on permanent pages.

🛡️ Stay Safe While Investigating Suspicious Sites

Even checking a suspicious website exposes your IP address. A VPN encrypts your connection and hides your identity while you investigate.

Get NordVPN — Protect Your Connection →

Frequently Asked Questions

How can I detect if a website is a scam?

Verify the seller identity and contact details, look for independent recent reviews, read purchase terms, and review payment protections. Technical domain signals can provide context but cannot establish trustworthiness.

Can a website look legitimate and still be a scam?

Yes. Modern scam websites often look identical to legitimate stores — professional design, product photos, even fabricated reviews. Always verify technical signals (domain age, WHOIS, email authentication) rather than relying on visual appearance alone.

What are the most common online scam types?

Fake storefronts that take payment and never ship, counterfeit goods, phishing checkout pages that harvest card details, triangulation fraud, and marketplace listing scams. Most involve a recently registered domain and no verifiable contact information.

Is this scam detector free?

Yes, completely free with no registration required. ScamPageFinder analyzes any domain instantly using public data sources and produces a Technical Transparency Score.