Security Scan Report: moonpay-commerce-ynemjsv7i-heliofi.vercel.app

Redirected to:
https://moonpay-commerce-ynemjsv7i-heliofi.vercel.app/
Site favicon
Submitted: Aug 28, 2026, 1:45:23 PMCompleted: Aug 28, 2026, 1:47:39 PMpubliccompleted

Summary

This website contacted 21 IPs in 2 countries across 13 domains to perform 2 HTTP transactions. The main domain is moonpay-commerce-ynemjsv7i-heliofi.vercel.app.

Submitted URL: http://moonpay-commerce-ynemjsv7i-heliofi.vercel.app/

Effective URL: https://moonpay-commerce-ynemjsv7i-heliofi.vercel.app/Redirected

AI Security Verdict

Moderate Risk

Confidence: 75%

5
Risk Score

The page mimics MoonPay branding on an unranked Vercel subdomain without collecting credentials, indicating moderate risk of brand impersonation.

Risk Factors
Brand impersonation on mismatched domain
Unranked / low‑reputation domain
Unknown subdomain age on shared hosting platform
Domain age information unavailable

Details

Page Title

MoonPay Commerce | Sell more with crypto ⚡️

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

cryptocurrency blockchain

(51%)

Domain Information

You're looking at domain 'moonpay-commerce-ynemjsv7i-heliofi.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'moonpay-commerce-ynemjsv7i-heliofi'. Its registrable label 'vercel' stretches across 6 characters holding two vowels versus four consonants. Segmentation suggests two words: ver, cel. Median word length is 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of api-iam.eu.intercom.io

Page Load Overview

9.66s
Total Load Time
53
HTTP Requests
13
Domains
523 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:176 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
51%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
13143.204.181.76Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2216.198.79.195United States
AS16509Amazon.com, Inc.
2172.66.147.126Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
254.155.212.19Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
2142.250.154.95Google · CDNUnited States
AS15169Google LLC
2143.204.181.116Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
23.174.46.72Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2104.20.16.230Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
265.9.130.61Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2143.204.181.18Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
5321--

Page Statistics

53
Requests
13
Unique Domains
3.4 MB
Total Size

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T132E252A4C3108FA9AE7A4B5C915574F1CF5736BAABBC8CC57A8C800451134F89EF6FA4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:UzF5QzcI+WI36LAmnkq/O0qyRSHpwPb8sYkE6Zxy:UzF5QzcITI3KB/xqk1YZsg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31374:EZAJAovgiSTB3HTLxAGJwKA4VZ4QAowaCMQgIxseReCM8AIVhQlioIkUUBEtAAGMRPsyUIGkQBBAEAAGiQPJghnpF4kDmoFR

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

Average Hash:bfffcfc7cf7f3f3f
Perceptual Hash:80ff86ce323198cf
Difference Hash:3000189c9ca0d0cc
Wavelet Hash:9efece46423a3e02
Color Hash:#c4c587

Other Hashes

Crop Resistant:3000189c9ca0d0cc

Scan History

Scan history not available

Unable to load historical scan data