Security Scan Report: shpeeredirect.vercel.app

Redirected to:
https://shopeehomeoffice.vercel.app/
Submitted: Sep 20, 2026, 2:50:14 AMCompleted: Sep 20, 2026, 2:50:33 AMpubliccompleted

This website contacted 17 IPs in 2 countries across 12 domains to perform 65 HTTP transactions. The main domain is shopeehomeoffice.vercel.app and was registered 21 years ago.

Submitted URL: https://shpeeredirect.vercel.app/

Effective URL:

https://shopeehomeoffice.vercel.app/
Redirected

AI Security Verdict

High Risk

Confidence: 78%

7
Risk Score

Fake Shopee 'security verification' page hosted on a brand-mimicking, unranked Vercel subdomain with a redirect chain. No forms yet, but clear brand impersonation makes this a high-risk phishing interstitial.

Risk Factors
Impersonation of Shopee brand on a domain that is not Shopee's official domain
Brand-mimicking subdomain/hostname ('shopeehomeoffice', 'shpeeredirect')
Unranked free-hosting subdomain with unknown creation date
Fake 'security verification / human validation' interstitial pattern typical of phishing redirect chains
Bot-protection content mismatch between scanner and residential client
Domain age information unavailable

Details

Page Title

Verificação de Segurança

Scan Type

public

Domain Name Analysis

The domain 'shpeeredirect.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'shpeeredirect'. The core label 'vercel' covers 6 characters with 2 vowels and four consonants. Word splitting yields two words: ver, cel. Average segment length settles at 3 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shpeeredirect.vercel.app/

Page Load Overview

0.56s
Total Load Time
6.2 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-BR
Text Length:4,410 chars
Detector Agreement:50%

Website Classification

Primary Category

documentation technical45% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
45%
adult content
30%
entertainment media
30%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
17216.198.79.3Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
364.29.17.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
3142.251.110.95Google · CDNUnited States
AS15169Google LLC
3104.18.0.22Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.16.80.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
3104.26.10.205Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
365.8.131.114Cloudfront · CDNUnited States
AS16509Amazon.com, Inc.
323.36.15.155Akamai · CDNLondon, England, United Kingdom
AS20940Akamai International B.V.
3104.16.79.73Cloudflare · WAFUnited States
AS13335Cloudflare, Inc.
6517--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F832E76A65E711021D2393643BDBA74633348203C80ACD6DBBDF17549FC97A1E693BAC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:frlhAwYIDJAlbDcsnoEkUTFY2w7z/U55HkuML7tpBfv1qi7LsmgTMWQ9j:frQqu07VwPTMJ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:11926:QbQgmDkB8AAjKaYoglCYMaEQClAJEFQBmIEOUAEIVA8YQho4gUAFfEbJAoRAATgACqFgDJ9Kh+VoIThSIvCBZ1JMVQCBFWFC

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:0018191b1b1f1f07
Perceptual Hash:881d635c6676c973
Difference Hash:dff3b2b2b3b3b3cf
Wavelet Hash:01191b1b1f1f1f2f
Color Hash:#bf9540

Other Hashes

Crop Resistant:dff3b2b2b3b3b3cf

Scan History

Scan history not available

Unable to load historical scan data