Security Scan Report: www.ufrn.br

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Submitted: Completed: publiccompleted
This website contacted 3 IPs in 1 country across 5 domains to perform 66 HTTP transactions. The main domain is ufrn.br and was registered 30 years ago.

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

The Cisco Umbrella rank of the primary domain is #431,011 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 92%

2
Risk Score

The site is an established university portal with minimal risk and no phishing or malware indicators.

Risk Factors (1)
Cisco Umbrella ranking #431,011 (outside top 100K) – low reputation signal
Safety Factors (4)
Long‑standing domain registration (1996)
Brand matches domain (university official site)
No malicious scripts or credential harvesting detected
No external IoC matches or network alerts
Domain age information unavailable

Details

Page Title

Portal da UFRN

Scan Type

public

Domain Name Analysis

You're looking at domain 'www.ufrn.br' on the Brazilian country-code top-level domain (.br), featuring subdomain 'www'. Count 4 characters in 'ufrn' containing 1 vowel alongside 3 consonants. It segments into 2 words: uf, rn. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

90.12s
Total Load Time
2.5 MB
Total Size

Language Analysis

Primary Language

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

Detection Details

HTML Lang Attribute:pt-BR
Text Length:6,566 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: dynamic
Method: structural

All Detected Categories

No categories detected

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
22177.20.144.66Natal, Rio Grande do Norte, Brazil
AS262857UNIVERSIDADE FEDERAL DO RIO GRANDE DO NORTE
2254.94.91.200São Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
22177.20.144.30Natal, Rio Grande do Norte, Brazil
AS262857UNIVERSIDADE FEDERAL DO RIO GRANDE DO NORTE
663--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17BC3A32AFDE5102E3167065EA55773BCBC799817CB118C3CB7A433684F87BE3A58124A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vX6LiDoZ8Do5BUWJo49aSue3eaede+e/es3YKybG161XCuZ7l0iI3B:vXYiDoKDoMfGg97l0iI3B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126024:AqhwSV4AAfBTAJgiHphFgVhhCCHGIkhiFQEoYhkbPHBRhADOMwBGiAECUpMwsBAUkIDiblTE0AUQJbA8QDJjoQBwhOggCwK0

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:c000000000ffffff
Perceptual Hash:e842f8f87042fa8f
Difference Hash:15b3e1c54322e31e
Wavelet Hash:c0101000b8ffffff
Color Hash:#87c58d

Scan History

Scan history not available

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