Free scam-checking tools for messages, emails, and links
Scam Checker's manual checking tools are free and require no sign-up. Full pasted content and file bytes are not retained as scan history; applicable extracted indicators may be checked securely and some reputation data is cached temporarily. This page collects the tools so you can pick one for a suspicious text, a strange-looking email, a link a friend forwarded, or a website with prices that look too good to be true.
Scams work because they catch you in a hurry. The whole strategy depends on you reacting fast — clicking the link, replying to the message, calling the number, or sending the payment before your guard goes up. The tools below exist to give you a one-minute pause where an automated check can flag the obvious red flags for you: lookalike domains, urgency phrases, impersonation patterns, and known fraudulent senders.
Choose the page that matches what you received for relevant examples and an input hint. Each page uses the same checker, which detects pasted content automatically. Core scoring runs in your browser, and full content or file bytes are not retained as scan history. Applicable extracted indicators may be sent to community and external reputation endpoints; public IP/domain results use bounded caches.
Already replied, clicked, or sent money? The tools below help you verify suspicious content before you act. If you have already engaged, the right starting point is the recovery checklist further down this page, not another check.
Choose the right scam-checking tool for what you received
General scam checker — paste anything to verify it
Best when you are not sure what kind of content you have. The checker auto-detects messages, emails, and URLs, then runs the right analysis.
Check a suspicious text or SMS message
Tuned for SMS, WhatsApp, Telegram, and DMs — fake delivery alerts, family-impersonation pleas, bank scam texts, and toll/parking notices.
Check a suspicious email for phishing signs
Designed for full email content — senders, subject lines, headers, fake invoices, credential-theft attempts, and business email compromise.
Check a suspicious link or URL before clicking
URL-focused analysis — lookalike domains, recently registered sites, link shorteners, suspicious subdomains, and known phishing patterns.
Have I been scammed? — damage-control checklist
Use this if you have already clicked, replied, or sent money. Step-by-step recovery actions ranked by urgency.
I got a scam message — what to do next
Decision tree for the most common situation — you received something suspicious but have not engaged yet.
Want context before you check?
If you would rather understand the scam pattern before running an automated check, our deeper resources cover the most common categories with real examples and protection advice.
Not sure which tool to use?
Start with the general checker — paste whatever you received, and it will figure out the right analysis for you.