Security Scan Report: shopeemoedor-oficiial.vercel.app

Submitted: Jul 30, 2026, 9:51:29 PMCompleted: Jul 30, 2026, 9:53:26 PMpubliccompleted

Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is shopeemoedor-oficiial.vercel.app and was registered 6 years ago.

Submitted URL: https://shopeemoedor-oficiial.vercel.app/

AI Security Verdict

Not Assessed

This page returned an error rather than content, so there was nothing to assess. This is not a statement that the site is safe.

Error or status pages carry no content to analyse. The site may still be active on another path.

Details

Page Title

Deployment Unavailable

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(56%)

Domain Information

You're looking at domain 'shopeemoedor-oficiial.vercel.app' on the application-focused generic top-level domain (.app) and includes subdomain 'shopeemoedor-oficiial'. Count 6 characters in 'vercel' holding two vowels versus 4 consonants. Breaking it apart gives 2 words: ver, cel. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of shopeemoedor-oficiial.vercel.app

Page Load Overview

0.21s
Total Load Time
2
HTTP Requests
1
Domains
2 KB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en
Text Length:92 chars
Detector Agreement:50%

Website Classification

Primary Category

government public service56% confidence
Type: static
Method: ml+structural

All Detected Categories

government public service
56%
news media journalism
56%
cryptocurrency blockchain
53%
real estate property
53%
healthcare medical
52%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
264.29.17.67United States
AS16509Amazon.com, Inc.
21--

Page Statistics

2
Requests
1
Unique Domains
2.0 KB
Total Size

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1293176B745B1702EF33B88FE34E633686244911BC0920F59B558EFB8E2D7CA65123645

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

48:TGepXZ9S3dGNGDY7nnrm+AgJJ8EYpz71FZ0:TGi9ScnwEY1b0

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1651:AAAQAAAgACIAJABAAEQAgAAAGAAAAAAAAAAAgCAgAgAAIAADAASACAAAAAAgACAAEAAQAAABAAAAGAAAQABEAAgIggAIAIAB

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:ffffffe7e7ffffe7
Perceptual Hash:e699989966999999
Difference Hash:0000000c0c00000c
Wavelet Hash:fcfcfce4243c2820
Color Hash:#d279c3

Other Hashes

Crop Resistant:0000000c0c00000c

Scan History

Scan history not available

Unable to load historical scan data