Security Scan Report: pay-profiles-bs0k3xr24-walletconnect.vercel.app

Redirected to:
https://pay-profiles-bs0k3xr24-walletconnect.vercel.app/
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Submitted: Aug 17, 2026, 12:45:02 AMCompleted: Aug 17, 2026, 12:46:16 AMpubliccompleted

This website contacted 1 IP in 1 country across 3 domains to perform 69 HTTP transactions. The main domain is pay-profiles-bs0k3xr24-walletconnect.vercel.app and was registered 6 years ago.

Submitted URL: http://pay-profiles-bs0k3xr24-walletconnect.vercel.app/

Effective URL:

https://pay-profiles-bs0k3xr24-walletconnect.vercel.app/
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AI Security Verdict

Low Risk

Confidence: 72%

3
Risk Score

The site mimics the WalletConnect brand on an unranked Vercel subdomain without collecting credentials, yielding moderate risk.

Risk Factors
Brand impersonation (brand name in meta tags mismatched with domain)
Unranked / low‑reputation domain
Unknown subdomain creation date
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 Profile

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'pay-profiles-bs0k3xr24-walletconnect.vercel.app' is registered, featuring subdomain 'pay-profiles-bs0k3xr24-walletconnect'. Count 6 characters in 'vercel' split between 2 vowels and four consonants. Tokenizing the label suggests two words: ver, cel. Expect three characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of http://pay-profiles-bs0k3xr24-walletconnect.vercel.app/

Page Load Overview

1.68s
Total Load Time
2.0 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:672 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
68%
technology software
67%
cryptocurrency blockchain
62%
government public service
52%
e-commerce shopping
51%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6964.29.17.195United States
AS16509Amazon.com, Inc.
691--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1B743F970B1C582271C1BDF1859F8AE3C8114ED17A953889EF34D065ABFC2FF6A5A4AC4

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:xGu2rF2DVN0rGV4xksc64Jysq7vqhWMlNApMeJ5NAP/f2hsQOCtI:qrKebx/c64Jysq7vqhAJGx

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:57568:hthGJJEjMAPJrJIgAJRSQAH0R+MICCJ3UIAg5BVEIMGRMBSaRACGkgYCGkoVCSIQPMlRHQCCHyWRDMgiRmQEklklQACsoIgI

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:ffffe7c38183ffff
Perceptual Hash:b3e3c41c6cc3333c
Difference Hash:80044c0e232b00a0
Wavelet Hash:0f0f27018181ff7e
Color Hash:#5357ac

Other Hashes

Crop Resistant:80044c0e232b00a0

Scan History

Scan history not available

Unable to load historical scan data