ScammersCheck
Free & Independent

About ScammersCheck

ScammersCheck is a free, independent scam detection service built to help the UK public instantly identify fraudulent phone numbers, websites, email addresses, and suspicious messages — with no signup, no account, and no cost.

We select evidence checks that apply to the input and may combine reputation data, public blocklists, technical context, local analysis, and community reports. We never claim certainty we do not have — our verdicts are indicators, not guarantees.

Our mission

Protect the public

Fraud costs UK consumers over £2 billion per year. We believe everyone deserves a fast, free way to verify suspicious contact before it is too late.

Transparent intelligence

We show you exactly which sources flagged a number or URL and why — not just a verdict, but the evidence behind it.

Community-powered

Real reports from real people make our database stronger every day. Every check you run and every report you submit helps protect the next person.

Data sources

Different inputs use different evidence paths. The sources below are examples of the checks that may contribute to a verdict when they are relevant and available.

Google Safe BrowsingURLs

URL-reputation data used when a submitted URL can be checked for phishing, malware, social engineering, or potentially harmful applications.

VirusTotalURLs

Multi-engine URL analysis for a primary URL, subject to provider availability and the input being suitable for URL analysis.

IPQualityScore & SkipCallsPhone / Email / IP

Phone, email, or IP reputation evidence and community phone-spam information for the input types these services support.

Domain, certificate & infrastructure contextURLs / Email domains

Registration data, certificate history, hosting-IP reputation, and structural domain analysis provide contextual evidence for relevant URLs or email domains.

Phishing & malware blocklistsURLs

Relevant URL domains can be compared with public phishing, spam, malware, and indicator-of-compromise lists when those services are available.

Local & contextual analysisRelevant inputs

Pattern, domain-anomaly, and phone-intelligence checks analyse relevant input locally; contextual analysis can help explain applicable content and returned evidence.

Community ReportsAll types

Rate-limited, unverified scam and safe reports are considered with safeguards; phone-number reports have higher thresholds before they can affect a verdict.

How verdicts work

Our five-tier verdict system weighs the evidence returned for the relevant input. Data coverage reflects how many applicable source categories returned usable data; it is not a probability of safety or fraud.

Known Threat

Confirmed by one or more authoritative threat intelligence sources. Avoid all contact.

High Risk

Multiple strong signals indicate fraudulent or malicious activity. Exercise extreme caution.

Suspicious

Some signals suggest potential risk. Proceed with caution and verify independently.

No Threats Found

No known threats detected across our sources. This is not a guarantee of safety.

Unable to Check

Insufficient data to produce a verdict. The entity may be too new or obscure to assess.

Important disclaimer: ScammersCheck results are indicators based on available threat intelligence data. A "No Threats Found" verdict does not guarantee that a number, URL, or email is safe — new scams emerge daily and may not yet be indexed by our sources. Always exercise independent judgement before responding to unsolicited contact.

Evidence needs context

A reputation result is a snapshot, not an identity proof. The same phone number can be reassigned, a legitimate website can be compromised, and a scammer can use a new address before any public database knows about it. Our job is to make the available evidence easier to interpret—not to replace your judgement or the organisation’s official verification process.

Look for agreement

Confidence is more useful when different kinds of evidence point in the same direction. One isolated signal should be treated differently from several independent warnings.

Notice what is missing

No record may mean the entity is clean, new, private, or simply outside a source’s coverage. An empty result is not a safety certificate.

Verify the request

Urgency, secrecy, payment changes, login links, and requests for codes are important context even when an entity has no public reports.

Our practical rule

If a contact asks you to act quickly, move money, share a one-time code, or keep the conversation secret, pause even when a check returns “No Threats Found.” Use an independently sourced contact route for the bank, employer, courier, government body, or person being impersonated. If you may have lost money or shared credentials, contact your bank and the relevant reporting authority promptly.

What we add beyond an automated score

ScammersCheck is designed as a decision-support tool. Alongside the result, we explain which source categories were relevant, distinguish unavailable coverage from a clean signal, and provide a route to report or challenge a result. Our public guides turn recurring scam patterns into practical checklists that can be used without submitting private information.

We do not sell certainty. Scores are not probabilities, guarantees, or proof that a person is fraudulent. The service must not be used for employment, credit, housing, insurance, or other decisions about individuals.

We do not publish private submissions by default. Checks are private unless a person deliberately creates a sanitized shareable result. Raw messages, screenshots, personal identifiers, and sensitive mixed text are not turned into public content.

We welcome correction. A source can be incomplete and a result can be wrong. Use the correction route on a result or the to provide relevant context without posting sensitive information publicly.

What you can check

Phone numbers

UK and international numbers — mobile, landline, and VoIP. Detects known scam callers, HMRC impersonators, and bank fraud lines.

URLs & websites

Any web address — checks for phishing, malware, fake login pages, and fraudulent e-commerce sites.

Email addresses

Sender addresses from suspicious emails — detects spoofed domains, known phishing senders, and compromised accounts.

Text messages

Paste the full text of a suspicious SMS or message — our AI extracts and checks any embedded phone numbers or URLs.

Contact us

ScammersCheck is operated from the United Kingdom. We welcome feedback, partnership enquiries, and media requests. If you believe a result is incorrect or should be reviewed for privacy reasons, use the correction and removal-review route from the result page or with the result link and relevant context.

General enquiries & partnerships

hello@scammerscheck.com