Summary
This website contacted 20 IPs in 2 countries across 5 domains to perform 63 HTTP transactions. The main domain is se.gov.br and was registered NaN years ago.
Submitted URL: https://www.se.gov.br/noticias/desenvolvimento/deso_figura_entre_as_mil_maiores_empresas_do_brasil_no_ranking_da_veja_negocios
AI Security Verdict
Safe Website
Confidence: 95%
The site appears legitimate with no security concerns.
Safety Factors
Details
Page Title
Governo de Sergipe
Scan Type
public
Language
Portuguese
Category
government
(48%)Domain Information
The domain 'www.se.gov.br' uses the Brazilian country-code top-level domain (.se.gov.br). The registrable portion 'www' spans 3 characters holding zero vowels versus 3 consonants. Tokenizing the label suggests one word: www. Median word length comes out to 3 characters. 'woww' most strongly signals Indonesian. It also appears 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 |
|---|---|---|---|
| 6 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 3 | 52.67.106.133 | São Paulo, São Paulo, Brazil | AS16509AMAZON-02 |
| 3 | 104.17.25.14 | United States | AS13335CLOUDFLARENET |
| 3 | 104.16.175.226 | United States | AS13335CLOUDFLARENET |
| 3 | 187.17.3.22 | Aracaju, Sergipe, Brazil | AS28261EMPRESA SERGIPANA DE TECNOLOGIA DA INFORMACAO |
| 3 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 3 | 54.207.147.179 | São Paulo, São Paulo, Brazil | AS16509AMAZON-02 |
| 3 | 151.101.66.137 | San Francisco, California, United States | AS54113FASTLY |
| 3 | 2606:4700::6810:aee2 | United States | AS13335CLOUDFLARENET |
| 3 | 2a04:4e42:600::649 | United States | AS54113FASTLY |
| 63 | 20 | - | - |
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
Scan History
Scan history not available
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