Summary
This website contacted 83 IPs in 3 countries across 19 domains to perform 179 HTTP transactions. The main domain is gov.br.
Submitted URL: https://www.gov.br/saude/pt-br
AI Security Verdict
Safe Website
Confidence: 92%
Site appears legitimate; only minor concern is a circular redirect.
Risk Factors
Safety Factors
Details
Page Title
Ministério da Saúde
Scan Type
public
Language
Portuguese
Category
government
(95%)Domain Information
Within the Brazilian country-code top-level domain (.gov.br), 'www.gov.br' is registered and has no subdomain. The second-level label 'www' is 3 characters long containing zero vowels alongside three consonants. It segments into 1 word: www. Median word length comes out to three characters. The linguistic tilt is Indonesian for 'woww'. Usage also turns up in Malay and Vietnamese contexts.
Screenshot
Page Load Overview
Language Analysis
Primary Language
Detection Details
Website Classification
Primary Category
All Detected Categories
Detected Features
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 91 | 161.148.164.31 | Brazil | AS10954SERVICO FEDERAL DE PROCESSAMENTO DE DADOS - SERPRO |
| 24 | 157.240.0.6 | Frankfurt am Main, Hesse, Germany | AS32934FACEBOOK |
| 22 | 23.216.77.165 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 11 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 9 | 189.9.113.54 | Brasília, Federal District, Brazil | AS10954SERVICO FEDERAL DE PROCESSAMENTO DE DADOS - SERPRO |
| 3 | 151.101.193.229 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 35.186.224.24 | United States | AS396982GOOGLE-CLOUD-PLATFORM |
| 2 | 151.101.65.229 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 2 | 23.216.77.146 | Frankfurt am Main, Hesse, Germany | AS20940Akamai International B.V. |
| 179 | 83 | - | - |
Detected Technologies9
Content Similarity HashesFor malware variant detection
TLSH (Trend Micro Locality Sensitive Hash)
Security-focusedSpecialized for malware detection and similarity analysis
ssdeep (Context Triggered Piecewise Hashing)
Context-awareDetects similar content even with modifications
sdhash (Similarity Digest Hashing)
High-precisionHigh-precision similarity detection for forensic analysis
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
Other Hashes
Scan History
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