Security Scan Report: shopeebr-ma3.vercel.app

Submitted: Sep 23, 2026, 3:50:17 PMCompleted: Sep 23, 2026, 3:51:11 PMpubliccompleted

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

Vercel 404 error page with no content, no forms, no impersonation and no Indicators of Compromise. Only generic hosting-platform reputation tags; nothing malicious on the page itself.

Risk Factors (2)
Subdomain shopeebr-ma3.vercel.app on free hosting platform with unknown creation date (name loosely evokes a retail brand, but page content makes no such claim)
Unranked/unreputable domain namespace
Safety Factors (3)
No credential, login, or payment forms present
No brand impersonation content on the rendered page
No threat-intelligence, YARA, or Safe Browsing hits
Domain age information unavailable

Details

Page Title

404: NOT_FOUND

Scan Type

public

Domain Name Analysis

Domain 'shopeebr-ma3.vercel.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'shopeebr-ma3'. The core label 'vercel' covers 6 characters with two vowels and four consonants. Segmentation suggests two words: ver, cel. The median word length lands at three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://shopeebr-ma3.vercel.app/

Page Load Overview

0.19s
Total Load Time
3 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:en
Text Length:198 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical60% confidence
Type: static
Method: ml+structural

All Detected Categories

documentation technical
60%
news media journalism
32%
technology software
31%
government public service
31%
healthcare medical
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1216.198.79.131Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
164.29.17.195Aws · CLOUDUnited States
AS16509Amazon.com, Inc.
22--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1FCF1FC91B061363FF23389221897511D313CE007FD275EDA998A85F099DE5E23A3FD41

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:a7e9Awh8/QBFytFOjy5VG7XOuT24gEcy5m:Wurh84BFynOGbWXOi2ocIm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7699:EWbYCgg5OA0eAEJQgs4AAEjirKEZhBAArBcAopQCrNgJSCHXQjDIhiZCbB0AjIgAoglDMDYCYCLMkhUQUnAKPASGoATVAApQ

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:fffff7e7e7f7ffe7
Perceptual Hash:b38ccc993366cc99
Difference Hash:0000080c0800000c
Wavelet Hash:0c0c3c24273f3f27
Color Hash:#2d862e

Other Hashes

Crop Resistant:0000080c0800000c

Scan History

Scan history not available

Unable to load historical scan data