Fraud signals. Real context.
A focused workspace for checking suspicious domains, messages and payment instructions — with source-level transparency.
Check a suspicious website
Compare a hostname to community-maintained phishing indicators and inspect the URL structure. The site will not be opened.
What is actually working?
Recent source indicators —
Examples from the feed provider's new-today snapshot, not an independently verified list of offenders.
Investigate a potential scam.
Combine text, document and domain indicators. Results are warnings, not definitive fraud judgments.
New assessment
Select what you'd like to examine.
Domain indicators are retrieved from public data. We do not visit the website.
Explainable assessment
Awaiting analysis
A clearer answer begins with evidence.
Run an assessment to see the evidence used, what's missing and the recommended next action.
Heuristic output is not a fraud verdict, security certification or automated payment decision.
Threat intelligence, with provenance.
Search publicly reported domain indicators. We do not publish names of alleged offenders or unreviewed accusations.
Search a reported indicator
Match a domain against the provider's active-domain dataset. Negative results do not certify a domain as safe.
Indicators in the source file
Names are shown as plain text to avoid accidentally opening suspicious sites.
Why sources matter
Every listed domain is attributed to the dataset provider, not a proprietary verification result.
We do not maintain a public list of accused people, phone numbers or businesses.
A domain missing from a source can still be malicious. A stale listing can be a false positive.
Disputed indicators must be challenged with the original source and reviewed before reuse.
Data source: Phishing.Database (MIT). Feed retrieval status and time are displayed transparently.
Show the logic. Not false certainty.
Scope, constraints and methods used by this public proof of concept.
Transparent URL checks
Local structural rules inspect protocol, domain composition and redirection-like characteristics. They do not resolve DNS, inspect TLS certificates or visit target websites.
Attributed public feeds
Only domain strings are compared against the retrieved Phishing.Database active-domain feed. The provider's status and correction mechanism remain authoritative for that dataset.
Invoice correlation
Text extraction plus manual comparison of invoice IBAN and email sender domain against user-provided trusted references. No banking ownership verification is performed.
Research, not AI
No trained model, validated accuracy, automated fraud adjudication or storage of submissions is included. Full AI correlation is planned future work, not a current claim.