Security Scan Report: germanoaquino.com.br

Submitted: Oct 22, 2025, 8:57:41 PMCompleted: Oct 22, 2025, 8:58:31 PMpubliccompleted
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Summary

This website contacted 2 IPs in 1 country across 1 domain to perform 9 HTTP transactions. The main domain is germanoaquino.com.br and was registered NaN years ago.

Submitted URL: https://germanoaquino.com.br/

AI Security Verdict

Safe Website

Confidence: 90%

0
Risk Score

Newly registered site with no malicious indicators; appears legitimate.

Safety Factors
Brand new domain but no suspicious activity
No credential or payment collection fields
Content appears to be a personal message in Portuguese
No external domains referenced
Domain age information unavailable

Details

Page Title

N/A

Scan Type

public

Language

🇵🇹

Portuguese

(51% confidence)

Category

healthcare medical

(72%)

Domain Information

Within the Brazilian country-code top-level domain (.com.br), 'germanoaquino.com.br' is registered without a subdomain. Count 13 characters in 'germanoaquino' split between seven vowels and 6 consonants. Word splitting yields two words: germano, aquino. The median word length lands at 6.5 characters. The linguistic tilt is Spanish for 'hermano'. It also appears in Chinese (Pinyin) and Italian contexts.

Screenshot

Security scan screenshot of https://germanoaquino.com.br/

Page Load Overview

9.07s
Total Load Time
9
HTTP Requests
1
Domains
77 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:51%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:51%
Script Type:Latin
Text Length:133 chars
Detector Agreement:100%

Website Classification

Primary Category

healthcare medical72% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

healthcare medical
72%
news media journalism
69%
real estate property
67%
finance banking
63%
adult content
58%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4216.198.79.65United States
AS16509AMAZON-02
464.29.17.1United States
AS16509AMAZON-02
92--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1EF31EFA3DC2ADE40152299DCB8AAE70F1455943ED6B4C8CC3BCC998C05697EE4F1EC44

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

24:kH1ALajW7OPGrVJAbJueWFJSOoJ3J3JfuJ3nnK8aWdMZl9KIzh1uOCyZCJnzFe5:sUaq7OPYAVujI55fC3DaWdMZlQIW1Bpu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:1585:AAAAAAAAABEAAIYAAAAAAAIwAEAAAAAECAQAoAAQQQAAIAAAAAAAAAAAAgAAEAACBAAAMAAwAAAQAIAAAAAiwAAMQQAAAAAA

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:1fffffffffffffff
Perceptual Hash:9e1e1e1e1e1e1e0e
Difference Hash:6000000000000000
Wavelet Hash:10f0f0f0f0f0f0f0
Color Hash:#5391ac

Other Hashes

Crop Resistant:6000000000000000

Scan History

Scan history not available

Unable to load historical scan data