Security Scan Report: girlstravel.suareservaonline.com.br

Submitted: Dec 22, 2025, 12:12:48 AMCompleted: Dec 22, 2025, 12:12:54 AMpubliccompleted
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Summary

This website contacted 0 IPs in 0 countries across 0 domains to perform 0 HTTP transactions. The main domain is girlstravel.suareservaonline.com.br and was registered NaN years ago.

Submitted URL: https://girlstravel.suareservaonline.com.br/myapp/marcacao_assento

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No security concerns detected; site appears legitimate.

Safety Factors
Well‑established domain (>3 years)
No credential or payment collection fields
No malicious Indicators of Compromise
Unranked status not combined with any strong suspicious signals
Domain age information unavailable

Details

Page Title

404 - Página não encontrada

Scan Type

public

Language

🇵🇹

Portuguese

(38% confidence)

Category

travel tourism

(52%)

Domain Information

Domain 'girlstravel.suareservaonline.com.br' uses the Brazilian country-code top-level domain (.com.br) with subdomain 'girlstravel'. Count 16 characters in 'suareservaonline' split between 8 vowels and 8 consonants. Word splitting yields 4 words: su, are, serva, online. Average segment length settles at 4 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://girlstravel.suareservaonline.com.br/myapp/marcacao_assento

Page Load Overview

4.45s
Total Load Time
0
HTTP Requests
0
Domains
N/A
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:38%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:38%
Script Type:Latin
Text Length:88 chars
Detector Agreement:67%

Website Classification

Primary Category

travel tourism52% confidence
Type: static
Method: ml+structural

All Detected Categories

travel tourism
52%
news media journalism
50%
documentation technical
42%
government public service
39%
phishing scam
30%

Detected Features

No structural features detected

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T106734BCE71D3787267A345E5E13B8541F3351066308AC868B29EA8E55FE98C9A173F3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lrxTvh7xWsglAZhksSIkpkKLoyUzPtj1M3WU0ch8LnyVUVOocvxmup4NqAsezA5v:n7a4qb8h4DQtCvLIAmlwyxG

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78173:DAEOaYndxUwAwSAJAuAiUgzgNitAQAhYxsspZAFJQyCAWETwCJQEMosLCRAYQaFUBK6KSCTJcBgAHNIak4uZAIphEgIQQaAI

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:18183c24243c1800
Perceptual Hash:e3cc9c32368ccd63
Difference Hash:3030704d4d683028
Wavelet Hash:3c3c3c26263e3c3c
Color Hash:#3a5278

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data