Security Scan Report: www.ufrn.br

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Submitted: Oct 9, 2025, 1:20:54 AMCompleted: Oct 9, 2025, 1:22:14 AMpubliccompleted
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Summary

This website contacted 16 IPs in 2 countries across 6 domains to perform 74 HTTP transactions. The main domain is ufrn.br and was registered NaN years ago.

Submitted URL: https://www.ufrn.br/

The Cisco Umbrella rank of the primary domain is #619,159 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears legitimate with no security concerns.

Safety Factors
Long‑standing domain registration
Official government/educational domain
No credential or payment collection forms
Domain age information unavailable

Details

Page Title

Portal da UFRN

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain 'www.ufrn.br' uses the Brazilian country-code top-level domain (.br), featuring subdomain 'www'. Count 4 characters in 'ufrn' split between one vowel and three consonants. Word splitting yields 2 words: uf, rn. Average segment length settles at 2 characters. 'uf' most strongly signals Slovak. Usage also turns up in Sinhala and Bosnian contexts.

Screenshot

Security scan screenshot of https://www.ufrn.br/

Page Load Overview

25.05s
Total Load Time
74
HTTP Requests
6
Domains
2.6 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:pt-BR
Text Length:6,062 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: spa
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1418.229.88.90São Paulo, São Paulo, Brazil
AS16509AMAZON-02
4104.16.175.226United States
AS13335CLOUDFLARENET
4177.20.144.66Natal, Rio Grande do Norte, Brazil
AS262857UNIVERSIDADE FEDERAL DO RIO GRANDE DO NORTE
4177.20.144.30Natal, Rio Grande do Norte, Brazil
AS262857UNIVERSIDADE FEDERAL DO RIO GRANDE DO NORTE
454.233.226.96São Paulo, São Paulo, Brazil
AS16509AMAZON-02
454.94.91.200São Paulo, São Paulo, Brazil
AS16509AMAZON-02
4104.16.174.226United States
AS13335CLOUDFLARENET
4142.250.186.36United States
AS15169GOOGLE
418.229.53.106São Paulo, São Paulo, Brazil
AS16509AMAZON-02
42606:4700::6810:afe2UnknownUnknown
7416--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16DC3A42AFDE5202E7167055AA55773BCBC798817CB118C3CBBA433784F87BE3958124A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vX6LiDoZ8Do5BUWJo49aGue3eaede+e/es3YKybnHK181Iz67lZUwiI3fxA:vXYiDoKDogfnq66m7lZUwiI3JA

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127356:xiC0sJ3AIwiBQQkkhYrZREpSiSJ0HAiJFSKEg08DnFHUFgooyAVqAKlCB3KAKwADQlkoohEMgIxBaEEaQSUQYoISSEYNI4mQ

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

Average Hash:c080880000ffffff
Perceptual Hash:f878f0e370e0b887
Difference Hash:110939b12320ef9e
Wavelet Hash:c0808f0000ffffff
Color Hash:#9e6ce0

Scan History

Scan history not available

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