Summary
This website contacted 58 IPs in 4 countries across 19 domains to perform 114 HTTP transactions. The main domain is semil.sp.gov.br and was registered NaN years ago.
Submitted URL: https://semil.sp.gov.br/2025/11/porto-de-sao-sebastiao-e-o-segundo-melhor-do-pais-em-desempenho-esg/
AI Security Verdict
Safe Website
Confidence: 95%
Legitimate government site with no security concerns.
Safety Factors
Details
Page Title
Semil - Secretaria de Meio Ambiente, Infraestrutura e Logística de SP
Scan Type
public
Language
Portuguese
Category
government public service
(89%)Domain Information
The domain name 'semil.sp.gov.br' uses the Brazilian country-code top-level domain (.sp.gov.br) while skipping any subdomain. The registrable portion 'semil' spans 5 characters holding two vowels versus 3 consonants. Word splitting yields 2 words: s, emil. The median word length lands at 2.5 characters. No strong language cues emerged from the frequency lists.
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 |
|---|---|---|---|
| 57 | 151.101.130.137 | San Francisco, California, United States | AS54113FASTLY |
| 50 | 104.41.63.108 | Campinas, São Paulo, Brazil | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 21 | 201.55.13.8 | São Paulo, São Paulo, Brazil | AS28637Cia Proc. de Dados do Estado de S Paulo - Prodesp |
| 5 | 142.250.185.131 | United States | AS15169GOOGLE |
| 5 | 142.250.186.163 | United States | AS15169GOOGLE |
| 4 | 172.217.18.4 | United States | AS15169GOOGLE |
| 4 | 104.26.8.123 | United States | AS13335CLOUDFLARENET |
| 3 | 191.235.249.171 | Campinas, São Paulo, Brazil | AS8075MICROSOFT-CORP-MSN-AS-BLOCK |
| 3 | 104.17.24.14 | United States | AS13335CLOUDFLARENET |
| 3 | 142.250.186.170 | United States | AS15169GOOGLE |
| 114 | 58 | - | - |
Detected Technologies1
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
Scan history not available
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