Security Scan Report: www.moonpay-commerce-git-ashbaker-com2-3977-solana-a-31d1f5-heliofi.vercel.app

Redirected to:
https://moonpay-commerce-git-ashbaker-com2-3977-solana-a-31d1f5-heliof...
Site favicon
Submitted: Sep 11, 2026, 1:45:19 AMCompleted: Sep 11, 2026, 1:47:37 AMpubliccompleted

This website contacted 19 IPs in 2 countries across 12 domains to perform 42 HTTP transactions. The main domain is moonpay-commerce-git-ashbaker-com2-3977-solana-a-31d1f5-heliofi.vercel.app and was registered 21 years ago.

Submitted URL: http://www.moonpay-commerce-git-ashbaker-com2-3977-solana-a-31d1f5-heliofi.vercel.app/

Effective URL:

https://moonpay-commerce-git-ashbaker-com2-3977-solana-a-31d1f5-heliof...
Redirected

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The page impersonates MoonPay on an unknown‑age, unranked Vercel subdomain without credential collection, yielding moderate risk.

Risk Factors
Brand impersonation on unknown‑age, unranked subdomain
Unranked domain (not in Cisco Umbrella top 1M)
Unknown subdomain creation date
Domain age information unavailable

Details

Page Title

MoonPay Commerce | Sell more with crypto ⚡️

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.moonpay-commerce-git-ashbaker-com2-3977-solana-a-31d1f5-heliofi.vercel.app' on the application-focused generic top-level domain (.app) with subdomain 'www.moonpay-commerce-git-ashbaker-com2-3977-solana-a-31d1f5-heliofi'. Count 6 characters in 'vercel' holding 2 vowels versus four consonants. Tokenizing the label suggests 2 words: ver, cel. Median word length comes out to 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://www.moonpay-commerce-git-ashbaker-com2-3977-solana-a-31d1f5-heliofi.vercel.app/

Page Load Overview

10.29s
Total Load Time
3.1 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

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
6143.204.181.18Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
264.29.17.195United States
AS16509Amazon.com, Inc.
264.29.17.3United States
AS16509Amazon.com, Inc.
298.90.65.103Aws · CLOUDAshburn, Virginia, United States
AS14618Amazon.com, Inc.
2142.251.13.95Google · CDNUnited States
AS15169Google LLC
265.9.130.19Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
2216.198.79.3United States
AS16509Amazon.com, Inc.
2172.66.144.171Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
234.241.109.7Aws · CLOUDDublin, Leinster, Ireland
AS16509Amazon.com, Inc.
2104.20.16.230Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
4219--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BFE252A4C3108FA9AE7A4B5C915574F1CF5736AAABBC8CC57A8C800451134F89EF6FA4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:dzF5QzvdQuI5LAmnkq/O0qyRSHpwPb8sYkE6Zxy:dzF5QzvmuIVB/xqk1YZsg

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:31374:AQAkpBjsAAjBGkRZDmKIQIAhPWbFQoKuEJy0u0yMjeAEOUpArRDxuIAyIBANAIBFkAYMcIRgYFIACHAhzAEQxhWIsRjFDIkY

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:3000189c9c80d0cc
Wavelet Hash:9efece46423a3e02
Color Hash:#e06c8f

Other Hashes

Crop Resistant:3000189c9c80d0cc

Scan History

Scan history not available

Unable to load historical scan data