Summary
API
Submitted URL: https://couponsvibesitus-dpj3k52h9qwd.edgeone.app/andrew-mccarthy-net-worth.html
AI Security Verdict
Low Risk
Confidence: 65%
Informational article with no malicious indicators; low risk.
Risk Factors (2)
Safety Factors (3)
Details
Page Title
Andrew McCarthy Net Worth: What His Career Earnings Reveal
Scan Type
public
Domain Name Analysis
Domain 'couponsvibesitus-dpj3k52h9qwd.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'couponsvibesitus-dpj3k52h9qwd'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and 3 consonants. Tokenizing the label suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 6 | 43.152.26.58 | Singapore | AS139341ACE |
| 2 | 172.240.108.76 | United States | AS7979Servers.com, Inc. |
| 2 | 2.21.110.213 | Hamburg, Free and Hanseatic City of Hamburg, Germany | AS20940Akamai International B.V. |
| 2 | 104.21.0.120 | United States | AS13335Cloudflare, Inc. |
| 2 | 172.217.208.95 | United States | AS15169Google LLC |
| 14 | 5 | - | - |
Detected Technologies1
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Specialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Detects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.
Image Hashes
Perceptual Hashes
Other Hashes
Scan History
Scan history not available
Unable to load historical scan data