Security Scan Report: grupinhogratis.pages.dev

Submitted: Mar 10, 2026, 10:57:29 PMCompleted: Mar 10, 2026, 10:58:45 PMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 5 domains to perform 12 HTTP transactions. The main domain is grupinhogratis.pages.dev and was registered NaN years ago.

Submitted URL: https://grupinhogratis.pages.dev/Segredo%20Total

AI Security Verdict

Safe Website

Confidence: 99%

0
Risk Score

AI analysis skipped: HTTP 502 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

httpsprivateoficialmundosegreto.shop

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

social media network

(51%)

Domain Information

The domain name 'grupinhogratis.pages.dev' uses the developer-focused generic top-level domain (.dev) and includes subdomain 'grupinhogratis'. The core label 'pages' covers 5 characters split between two vowels and three consonants. Splitting it apart reveals 1 word: pages. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://grupinhogratis.pages.dev/Segredo%20Total

Page Load Overview

0.61s
Total Load Time
11
HTTP Requests
5
Domains
1.2 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:410 chars
Detector Agreement:50%

Website Classification

Primary Category

social media network51% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
51%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.16.79.73United States
245.43.142.7Germany
2188.114.97.3United States
AS13335Cloudflare, Inc.
2142.132.219.49Falkenstein, Saxony, Germany
AS24940Hetzner Online GmbH
114--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12003E731B1B001763A6F87B99196B31DB598AA06CA07A7B574FC71648BC8EF700B770D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LiuJZdypbXd7VSXgjygNGdRr8pmoPrgifuo0sC4:Lv5ypjdAg2bApmoPrgifV

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:40659:KBKEJGQQwuiKEcokIbMIiDlEFFUCUMCEGjuMwBgAJECYBYBxh6EwNFkABNAFBAShMaSRDMihklEkAMngBKARdWOUAUBmEABD

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:1818181818000001
Perceptual Hash:88dd227788772277
Difference Hash:b131b1b3b3310115
Wavelet Hash:19193d3d19190101
Color Hash:#79d2c6

Scan History

Scan history not available

Unable to load historical scan data