Security Scan Report: pay-profiles-bkk7iy70a-walletconnect.vercel.app

Submitted: Aug 2, 2026, 12:45:45 AMCompleted: Aug 2, 2026, 12:50:32 AMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics the WalletConnect brand on an unranked Vercel subdomain without forms, indicating moderate risk of brand impersonation.

Risk Factors
Brand impersonation on mismatched domain
Unknown subdomain creation date
Unranked domain reputation
High JavaScript obfuscation score
Safety Factors
Verdict cited a credential/login form, but DOM analysis found no password field (real or disguised) or payment field, and no other hard signal — credential-phishing framing unsupported; risk adjusted from 5 to 3
Domain age information unavailable

Details

Page Title

WalletConnect Pay Profiles

Scan Type

public

Domain Name Analysis

Domain 'pay-profiles-bkk7iy70a-walletconnect.vercel.app' uses the application-focused generic top-level domain (.app) with subdomain 'pay-profiles-bkk7iy70a-walletconnect'. The second-level label 'vercel' is 6 characters long holding two vowels versus 4 consonants. Word splitting yields two words: ver, cel. Average segment length settles at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pay-profiles-bkk7iy70a-walletconnect.vercel.app/

Page Load Overview

33.10s
Total Load Time
1.8 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:149 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking89% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
89%
technology software
47%
cryptocurrency blockchain
36%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
68216.198.79.3United States
AS16509Amazon.com, Inc.
681--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D313FA50B6C980131D1FFE055DE8AE7C9208EC171A93889EB10D06D9BFC2FF9E591B85

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:grur8rOUW0rGV4xksc64Jysq7vhQJeguK:xlebx/c64Jysq7viJrx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:41914:WCTjKAwCwQi4hEmQGVlECJQFoECFCpUAABzwGQkGi9HjGEIAgoWAxQA9gIyyxswqEATeSAqTKSAA4hEZRIIRUCmSNFMKjISp

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:ffffffe7e6e7ffff
Perceptual Hash:f788887677888877
Difference Hash:00000c0c4c0c0000
Wavelet Hash:3333232206070f0f
Color Hash:#c5878d

Other Hashes

Crop Resistant:00000c0c4c0c0000

Scan History

Scan history not available

Unable to load historical scan data