MY SCAM DETECTOR / ANALYSIS WORKSPACEINPUT → SIGNAL → CONTEXT → VERDICT

INSPECT THE REQUEST. UNDERSTAND THE RISK.

Less guesswork.
More signal.

Look beyond the message. Trace the pressure tactics, suspicious details, and familiar patterns behind a request.

Input / 01SCAM CHECK

Paste a message, URL, number, or call transcript.

SIGNAL / 03CONTEXT → PATTERNINPUT STREAM06 LAYERS / 01 VERDICTSCANNING
CONTENTDOMAINSPHONE NUMBERSPATTERNSCONTEXT

DETECTION ARCHITECTURE

Six layers. A more complete picture.

L01

Content analysis

Look at the language and the intent behind the request.

L02

URL & domain check

Inspect the destination and domain context.

L03

Phone number context

Review the contact details supplied with the message.

L04

Reported indicators

Connect relevant details to reported scam patterns.

L05

Pattern matching

Identify familiar tactics across different scam categories.

L06

Narrative analysis

Turn the signals into an understandable assessment.

WORKS ACROSS YOUR DAY

The input changes. The questions stay sharp.

06ANALYSIS LAYERS
04DIRECT TEXT INPUT TYPES
01CONTEXTUAL ASSESSMENT
EMAILSTEXTSCALL TRANSCRIPTSWEB ADDRESSESSOCIAL MESSAGESQR DESTINATIONSSCREENSHOT TEXT

THE SCAM EPIDEMIC

Real people. Real losses. Right now.

$15.9B
Lost to scams in 2025
FTC Consumer Sentinel Report
5×
Increase in fraud losses since 2020
PYMNTS / FTC Data
$3B
Lost by Americans over 60
FTC Older Adults Report
2-6%
Of victims ever report it
FTC Estimates
“I lost $271,000 in 76 days. I thought I was talking to someone who loved me.”
A woman’s life savings, gone to a romance scam that used urgency, emotional manipulation, and fake investment portals.
AARP Bulletin, March 2026
“They said they were the FBI. We gave them everything.”
An elderly couple in Illinois lost their entire life savings to a caller impersonating a federal agent — a classic authority scam with urgency pressure.
CTV News, October 2026
“The text looked exactly like it came from my bank.”
Millions receive fake bank alerts daily. Scammers clone real messages, swap the link, and harvest credentials in minutes. 3% of victims account for 69% of all losses.
Fortune, September 2026

Every one of these scams followed patterns our engine catches. The checker above is free — use it now, before it costs you.

WHY US

More protection. Less cost.

FeatureScamAdviserAntigriftAuraUs
Message & email scanning×✓×✓
Website trust checks✓×✓✓
Browser extension✓×✓✓
Community scam reports✓××✓
Active email scanning×✓×Coming soon
Detailed scam breakdown×××✓
Free tier available✓××✓
PriceFree$19/mo$12/mo$6.95/mo

MONTHLY ACCESS

Choose your analysis workspace.

PERSONAL

Monitor

$6 / month

A daily workspace for checking suspicious input.

  • Unlimited text checks
  • Analysis history
  • Saved indicators

BEFORE YOU CHECK

A couple of useful answers.

What can I paste into the checker?

A suspicious message, email, URL, or phone number. For a call, paste a transcript or number. For a QR code, paste the destination link.

What should I do while I verify a request?

Pause before sending money or sharing information. Contact the person or organization through a website or number you find independently.

How bad is the scam problem, really?

Americans lost $15.9 billion to scams in 2025 — a record. Losses have quintupled since 2020. Only 2-6% of victims report it, meaning real losses may exceed $196 billion per year. Adults over 60 lost $3 billion, with six-figure losses growing nearly sevenfold in five years.

What types of scams does this catch?

Our engine detects 12 scam categories: urgency tactics, authority impersonation, financial demands (gift cards, crypto, wire transfers), credential theft, too-good-to-be-true offers, emotional manipulation, tech support scams, job scams, romance scams, suspicious links, advance fee fraud, and formatting red flags. Each check scores across all categories simultaneously.

YOUR NEXT STEP