Security Scan Report: lilaotrip.suareservaonline.com.br

Submitted: Dec 19, 2025, 12:24:56 AMCompleted: Dec 19, 2025, 12:25:00 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 lilaotrip.suareservaonline.com.br and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Domain age of 1183 days (well established)
No malicious Indicators of Compromise matches found
No credential or payment forms detected
Page returns 404 (no content to harvest)
Domain hosted on standard hosting, not on IPFS or cloud storage
Domain age information unavailable

Details

Page Title

404 - Página não encontrada

Scan Type

public

Language

🇵🇹

Portuguese

(38% confidence)

Category

travel tourism

(69%)

Domain Information

Domain 'lilaotrip.suareservaonline.com.br' uses the Brazilian country-code top-level domain (.com.br), featuring subdomain 'lilaotrip'. The core label 'suareservaonline' covers 16 characters holding 8 vowels versus 8 consonants. Word splitting yields four words: su, are, serva, online. Median word length is four characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

1.62s
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:86 chars
Detector Agreement:67%

Website Classification

Primary Category

travel tourism69% confidence
Type: static
Method: ml+structural

All Detected Categories

travel tourism
69%
news media journalism
55%
real estate property
54%
adult content
50%
healthcare medical
46%

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

T13C734BCE71D3747267A345E5E13B8541F3351066308AC868B29EA8E55FE98C9A173F3C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lrxTvh7xWsglAZhksSIkpkKLoyUzPtj1M3WU0ch8LnyVUVOocvxmup4NqAsezA5K:n7a4qb8h4DQtCvLIAmlwyx5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:78170:jkkEjQ5LRCgGBi9pYOysAJmKOGiAUA1IGscAkgBj4IAGxV74oBiByoyEnEhxACMuFA27ACgZjJiSCBIVlAARBQxQkcDYGLGw

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:e3cc9c32368ccc73
Difference Hash:3030704d4d683028
Wavelet Hash:3c3c3c26263c3c3c
Color Hash:#6ce0a8

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data