How accurate is the scam detection?

Our AI is trained on millions of real-world scam patterns, making it highly accurate at identifying manipulation, fake urgency, and malicious payloads.

I already clicked a link. What do I do?

Disconnect from the internet, run a malware scan, and immediately change any passwords you might have entered. Monitor your bank accounts closely.

Can scams come from a friend's email address?

Yes. If an attacker compromises a contact's account, they can send scams that look highly legitimate. Always verify suspicious requests.

Is this tool completely free?

Yes, you can run instant checks for free without signing up.

Scam Email Checker

Scam email checker for suspicious messages and fake sender claims.

Received an email demanding urgent payment or threatening account closure? Don't panic. Run it through our scam detector to instantly verify if the threat is real or a well-crafted bluff.

Security Insight

Financial loss to online scams surpassed $10 billion last year. Attackers rely on fear and urgency to force rapid mistakes. A 5-second scan can save you from a major financial disaster.

Instant risk analysis

No signup required

Scans links & sender identity

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How to spot a scam before it's too late

Scam emails are designed to induce panic. They want you to act fast without thinking. If an email crosses any of these boundaries, it's highly likely to be fraudulent.

Urgent threat language

Scam emails often claim account shutdowns, legal action, or payment deadlines to force a rushed response.

Sender claim mismatch

A message claiming to be from a trusted company can still come from an unrelated mailbox or suspicious domain.

Impersonation and pressure

Attackers mimic finance, support, or HR teams and combine authority tone with emotional pressure.

Link and instruction risk

The wording and destination path often reveal scam behavior even when grammar and branding look polished.

What IsThisSpam checks before you trust a sender

Quick verdicts are useful, but the real value is understanding why something looks safe, uncertain, or risky.

Identity inconsistency

Scam emails usually break consistency between display name, sender address, and claimed organization.

Manipulation patterns

Language designed to trigger panic, secrecy, or immediate compliance is a strong scam signal.

Request-risk mismatch

Requests for money, credentials, or sensitive documents should be treated as high-risk unless independently verified.

Action-path anomalies

Unusual links, out-of-channel instructions, and redirection behavior are common in scam email workflows.

Related guides

Use the checker for the fast answer, then read the deeper guidance for recurring scam patterns.

How to Verify a Business Email Domain Before You Reply

A step-by-step process for validating unknown sender domains before sharing sensitive information.

Read the guide

Microsoft Billing Scam Emails: 7 Signs the Alert Is Fake

A practical breakdown of common impersonation patterns used in high-pressure billing scams.

Read the guide

Should You Trust a Shortened Link Before Clicking?

Learn how redirects and shortened URLs are used to hide risky destinations in scam emails.

Read the guide

FAQ

These are the questions people usually ask right before they click, reply, or pay.

Free scan first, deeper analysis when you need it

Check the sender before you trust the message.

Start with a fast scan, then move to SuperScan when the message involves money, account access, or sensitive documents.

Check on Homepage Read Scam Guides