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Press & Media Kit

Resources for journalists, researchers, and publishers covering online fraud, scam prevention, and consumer protection.

About Cautellus

Cautellus is a consumer scam-detection platform operated by MCD LLC. It helps everyday people identify fraudulent texts, emails, phone numbers, URLs, and images in real time. The scanner analyzes suspicious content against a live database of community-reported scam patterns, federal fraud alerts, and behavioral manipulation indicators.

Our intelligence comes from Reddit scam communities, FBI IC3 public service announcements, FTC consumer alerts, AARP fraud reports, and direct user submissions. The platform aggregates over 408,921 tracked entities — phone numbers, domains, and keywords — pulled from federal alerts and community reports. We publish educational content, run a searchable scam pattern database, and provide free tools designed for people with no technical background.

What We Check Against

Every scan runs against multiple threat intelligence sources simultaneously. Results are combined into a single risk score.

Scam Intel Database
408,921+
Known scam domains, phone numbers, and keywords from OpenPhish, Phishing.Database, and Scam-Blocklist. Updated every 6 hours.
Google Safe Browsing
Real-time
Cross-referenced against Google's global threat database covering malware, social engineering, unwanted software, and harmful applications.
PhishDestroy
770K+
Real-time lookup against 770,000+ known phishing and scam domains. No delay — checked on every scan.
Domain Age Analysis
RDAP
Checks domain registration date via ICANN RDAP protocol. Domains under 30 days old with brand names are flagged as high risk.
SSL Certificate Check
Live
Analyzes SSL certificate issuer and age. Detects free certificates on brand-impersonating domains — a strong phishing indicator.
Brand Impersonation Detection
Multi-layer
Typosquatting, suspicious TLDs, lookalike domains, and brand-pattern matching for major consumer, banking, marketplace, shipping, crypto, and tech brands.
Federal Threat Feeds
FBI / FTC
FBI IC3 public service announcements, FTC consumer alerts, and AARP fraud reports extracted and indexed for pattern matching.
Community Reports
r/Scams
Scam reports crawled from Reddit communities including r/Scams, r/phishing, and r/fraud. Domains, phone numbers, and tactics indexed.
Chrome Extension
One-click
One-click scam scanning directly inside the browser. Users can scan the current page, a selected link, or highlighted text without leaving the site they're on.

Data & Research

We have aggregated data on scam trends, platform distribution, age demographics, and emerging threats. Journalists and researchers can request anonymized data for stories, studies, and industry reports. We also provide expert quotes on scam trends, AI-generated fraud, elder fraud, and consumer protection topics.

For data requests and interview inquiries, email: press@cautellus.com

Founder

C

Courtney

Founder, Cautellus · 20+ years in financial services

With two decades in financial compliance, digital security, and fraud prevention, Courtney founded Cautellus to close the gap between fast-evolving fraud tactics and the tools everyday people have to defend themselves. She is available for commentary on scam trends, AI-enabled fraud, deepfake detection, elder fraud protection, and emerging threats in the consumer protection space.

Available for: interviews, expert quotes, panel discussions, podcast appearances

Brand Assets

Brand Colors

#6B0C2E
Primary (Maroon)
#4C73FF
Secondary (Blue)
#070B18
Background (Navy)
#F7F4FB
Text (Pearl White)

Usage: The Cautellus logo and name may be used in editorial coverage with attribution. For commercial or partnership use, please contact us first.

Guest Post Inquiries

We contribute guest posts to consumer protection sites, cybersecurity blogs, and financial literacy publications. Topics we cover include:

  • AI-enabled scam tactics and how to spot them
  • Elder fraud protection and family safety strategies
  • Deepfake detection for consumers
  • Cryptocurrency scam analysis and recovery
  • Behavioral psychology of scam victims
  • Emerging platform-specific fraud patterns

Standard length: 1,000-1,500 words. We provide original data, examples, and source-backed claims. Content is tailored to your audience.

Inquiries: press@cautellus.com

Get in Touch

For press inquiries, data requests, interviews, and guest post pitches:

press@cautellus.com