Security Scan Report: ribeiraodasneves.mg.gov.br

Redirected to: https://ribeiraodasneves.mg.gov.br/?legal

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Submitted: Feb 27, 2026, 2:14:00 AMCompleted: Feb 27, 2026, 2:15:36 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 4 domains to perform 121 HTTP transactions. The main domain is ribeiraodasneves.mg.gov.br and was registered NaN years ago.

Submitted URL: https://ribeiraodasneves.mg.gov.br/?legal=

Effective URL: https://ribeiraodasneves.mg.gov.br/?legalRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate, with no malicious indicators or risky behavior.

Safety Factors
Official .gov.br domain
Well‑established domain age
No malicious Indicators of Compromise
No JavaScript malware patterns detected
No credential‑harvesting forms
Domain age information unavailable

Details

Page Title

Prefeitura de Ribeirão das Neves – EuAmoNeves

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(85%)

Domain Information

The domain 'ribeiraodasneves.mg.gov.br' uses the Brazilian country-code top-level domain (.mg.gov.br) without a subdomain. Count 16 characters in 'ribeiraodasneves' split between 8 vowels and eight consonants. Tokenizing the label suggests four words: ribeira, oda, s, neves. Average segment length settles at four characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://ribeiraodasneves.mg.gov.br/?legal=

Page Load Overview

24.99s
Total Load Time
121
HTTP Requests
4
Domains
17.4 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:2,205 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service85% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
85%
education learning
77%
adult content
71%
technology software
66%
documentation technical
65%

Detected Features

Search
Articles

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25177.66.208.65Ribeirão das Neves, Minas Gerais, Brazil
AS262504Nova Rede de Telecomunicacoes Ltda
24104.17.24.14United States
AS13335Cloudflare, Inc.
24104.17.25.14United States
AS13335Cloudflare, Inc.
24142.251.141.138United States
AS15169Google LLC
24142.250.201.67United States
AS15169Google LLC
1215--

Detected Technologies9

WordPressv6.9.1
100%
JQueryv3.7.1
100%
Bootstrapv2.8.3
100%
50%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D194C838D3B08426719F5395CCB1B60D197BA942B604CAB4FCBF6E65E24CBD150B3A8D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:YAy2a1m7v8gB5axfBJkGVOqotysjJuQq5FTglGMtHtD2vNzn35YOGDg3NZFIxPrF:/5ax1OFt8ujgbqV4NV4D

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:422115:0jQF0CFDIGMI4OBFQZ0KJKVxiywAGhICoIBQBYSCOACYDwbMajmaIhkCAEwwZHkMFAuIMxwwpKRpCoJChkDIAuBDi4I+EUhJ

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:01993c1c3c3d9981
Perceptual Hash:8a76718d32d86667
Difference Hash:97332ba9692bb30f
Wavelet Hash:ff9919181819dbc3
Color Hash:#931f86

Scan History

Scan history not available

Unable to load historical scan data