Security Scan Report: www.furg.br

Redirected to: https://www.furg.br/en/

Submitted: Jan 24, 2026, 5:05:00 PMCompleted: Jan 24, 2026, 5:06:40 PMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 40 HTTP transactions. The main domain is furg.br and was registered NaN years ago.

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

Effective URL: https://www.furg.br/en/Redirected

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

The site appears legitimate and poses no security threats.

Safety Factors
Well‑established domain
Consistent university branding
Absence of phishing or malware indicators
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

Home - Universidade Federal do Rio Grande - FURG

Scan Type

public

Language

🇵🇹

Portuguese

(53% confidence)

Category

government public service

(76%)

Domain Information

Domain 'www.furg.br' uses the Brazilian country-code top-level domain (.br); it also runs on subdomain 'www'. The core label 'furg' covers 4 characters split between 1 vowel and three consonants. Breaking it apart gives two words: fur, g. Median word length is 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

11.59s
Total Load Time
50
HTTP Requests
9
Domains
694 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:53%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:53%
Script Type:Latin
HTML Lang Attribute:en-gb
Text Length:8,725 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

government public service76% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
76%
documentation technical
51%
education learning
41%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8172.67.142.245United States
AS13335CLOUDFLARENET
6104.16.174.226United States
AS13335CLOUDFLARENET
6142.250.185.72United States
AS15169GOOGLE
6192.178.170.95United States
AS15169GOOGLE
6216.58.206.46United StatesUnknown
6200.19.254.110Rio Grande, Rio Grande do Sul, Brazil
AS2716Universidade Federal do Rio Grande do Sul
615.229.72.199São Paulo, São Paulo, Brazil
AS16509AMAZON-02
656.126.34.89São Paulo, São Paulo, Brazil
AS16509AMAZON-02
508--

Detected Technologies8

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F4C3D6382068383B903362473A656718609BED77C6360D6EBBFF73668BC1E81756750E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:TvmtaXGUtNRdENMDzRR6LiDoZ8Do59zOb2t5S9Dc/XDc/kKwLX2maCtiK6J+:TviUmAYiDoKDo5ZQ4PKKa6/f

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:127624:QUDCgEZCQMK4QgFcgRNEIIAXEpkhZsAjQGms0gKkdYwQSXClCEQhRIrpL2JmABMVdASFSASREI4BBgFMBIIEeZUC+BKkiEAA

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:0000cfc7fffffff3
Perceptual Hash:bc1247136db0e5d9
Difference Hash:cd6d1e3e160e3606
Wavelet Hash:0000c3c3dee3ffe3
Color Hash:#408cbf

Scan History

Scan history not available

Unable to load historical scan data