Summary
This website contacted 112 IPs in 2 countries across 18 domains to perform 130 HTTP transactions. The main domain is ufes.br and was registered NaN years ago.
Submitted URL: https://www.ufes.br/
The Cisco Umbrella rank of the primary domain is #552,365 of the top 1 million websites
AI Security Verdict
Safe Website
Confidence: 88%
The site appears to be the legitimate university portal with no phishing or malware indicators.
Safety Factors
Details
Page Title
Universidade Federal do Espírito Santo
Scan Type
public
Language
Portuguese
Category
government public service
(91%)Domain Information
The domain name 'www.ufes.br' uses the Brazilian country-code top-level domain (.br); it also runs on subdomain 'www'. The core label 'ufes' covers 4 characters split between two vowels and 2 consonants. Segmentation suggests two words: u, fes. Expect two characters per word on average. The linguistic tilt is Bosnian for 'u'. You will also see it in Croatian and Serbian 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 |
|---|---|---|---|
| 1 | 142.250.185.142 | United States | AS15169GOOGLE |
| 1 | 216.58.206.38 | United States | AS15169GOOGLE |
| 1 | 142.250.185.238 | United States | AS15169GOOGLE |
| 1 | 172.67.142.245 | United States | AS13335CLOUDFLARENET |
| 1 | 104.21.27.152 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.74.202 | United States | AS15169GOOGLE |
| 1 | 104.16.174.226 | United States | AS13335CLOUDFLARENET |
| 1 | 142.250.185.174 | United States | AS15169GOOGLE |
| 1 | 151.101.65.229 | San Francisco, California, United States | AS54113FASTLY |
| 1 | 142.250.74.206 | United States | AS15169GOOGLE |
| 130 | 112 | - | - |
Detected Technologies8
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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