Has anyone else been scammed by this sender?
Paste a phone number or email address. We search matching MalwareTips scanner records and show the verdict, dominant scam pattern, recent activity, and any cited public sources.
Scanner records, sources clearly labelled.
Core counts come from matching MalwareTips SMS and email scanner records. When a generated summary adds public web research, each citation is labelled and linked so you can distinguish our stored evidence from outside sources.
Aggregated, not just stored
We tally matching scanner records per sender — verdict counts, scam-category breakdown, first and last sightings. The page reads like an investigation, not a database row.
AI-categorised at scan time
Every submitted message was already classified by our AI: package-fee scam, bank alert, IRS impersonation, romance opener, etc. The lookup just surfaces the dominant pattern.
Bodies redacted
Long digit runs, email addresses, and tokens in the message snippets get redacted before we render them. URLs stay visible because that's what other potential victims need to see.
Linked to full forensic reports
Each row links to the original /sms-scan or /email-scan report — full headers, AI verdict, deliverability checks, the whole pipeline. The lookup is the index; the reports are the depth.
Quick answers.
Where does the data come from?
Why isn't [number/email] in your database?
What kinds of senders are supported?
Are the message bodies stored verbatim?
Can I have a sender removed from the lookup?
How fresh is the data?
Got the message in front of you? Submit it.
Every scan you submit makes the next person's lookup more accurate. Free, no account, takes under a minute.