Check a suspicious email before you trust it
Phishing emails are built to look real: the right logo, an urgent message, a familiar name. But the proof of who really sent an email is in its headers, and scammers cannot easily fake those. Paste a suspicious email here and this free checker reads those hidden signals and tells you, in plain language, whether it looks genuine or like a scam. Everything happens in your browser, so your email never leaves your device.
What it checks
- Sender authentication: did the message pass SPF, DKIM and DMARC? A DMARC pass is a strong sign the From address is genuine.
- Brand impersonation: does a message claiming to be PayPal, a bank or a courier actually come from that company's domain, or a lookalike or free account?
- Reply-To tricks: would your reply quietly go to a different, attacker-controlled address?
- Dangerous links: links whose visible text does not match their real destination, links to raw IP addresses, and lookalike domains using hidden characters.
- Scam language: the urgency, threats and requests for passwords or gift cards that define phishing.
How to get the email source
- Gmail: open the email, click the three-dot menu, choose "Show original", and copy everything.
- Outlook: open the message and choose "View source" or "Message details".
- Apple Mail: View, then Message, then Raw Source.
Paste the whole thing, headers and body, or upload the saved .eml file.
What the verdict means, honestly
This is evidence-based confidence, not certainty. Authentication passing tells you the sending domain is real, not that the content is safe: a genuine account can be hacked and still send a scam. Authentication failing can occasionally happen to legitimate but misconfigured or forwarded mail. So treat the verdict as strong evidence, and whenever money or credentials are involved, confirm through a phone number or website you already trust, never one from the email itself.
Private by design
The entire analysis runs in your browser with JavaScript. Nothing you paste is uploaded or stored. This is the first of the RealCheck tools, a growing set that helps you answer one simple question in the AI era: is this real? It pairs naturally with checking suspicious links, images and messages.