Summary
This website contacted 49 IPs in 3 countries across 14 domains to perform 82 HTTP transactions. The main domain is ufla.br and was registered NaN years ago.
Submitted URL: https://ufla.br/
The Cisco Umbrella rank of the primary domain is #836,751 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 95%
The site appears to be the legitimate portal of Universidade Federal de Lavras.
Safety Factors
Details
Page Title
Página Principal - UFLA - Universidade Federal de Lavras
Scan Type
public
Language
Portuguese
Domain Information
The domain name 'ufla.br' uses the Brazilian country-code top-level domain (.br) without a subdomain. The registrable portion 'ufla' spans 4 characters with 2 vowels and two consonants. Breaking it apart gives two words: uf, la. Median word length is two characters. The linguistic tilt is Esperanto for 'la'. You will also see it in Catalan and Spanish contexts. Net impression: Esperanto phrase.
Screenshot

Page Load Overview
Language Analysis
Primary Language
Detection Details
Domain & IP Information
| Requests | IP Address | Location | AS Autonomous System |
|---|---|---|---|
| 34 | 216.239.34.36 | United States | AS15169GOOGLE |
| 1 | 18.229.53.106 | São Paulo, São Paulo, Brazil | AS16509AMAZON-02 |
| 1 | 200.131.250.2 | Alfenas, Minas Gerais, Brazil | AS1916Rede Nacional de Ensino e Pesquisa |
| 1 | 54.94.91.200 | São Paulo, São Paulo, Brazil | AS16509AMAZON-02 |
| 1 | 151.101.1.229 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 200.131.250.18 | Alfenas, Minas Gerais, Brazil | AS1916Rede Nacional de Ensino e Pesquisa |
| 1 | 64.233.184.156 | United States | AS15169GOOGLE |
| 1 | 151.101.194.137 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 216.58.206.46 | United States | AS15169GOOGLE |
| 1 | 151.101.129.229 | San Francisco, California, United States | AS54113FASTLY |
| 82 | 49 | - | - |
Detected Technologies6
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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