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Security Scan Report: www.furg.br

Redirected to:
https://www.furg.br/en/
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Submitted: Jun 2, 2026, 2:54:00 AMCompleted: Jun 2, 2026, 2:56:05 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 2 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: 92%

0
Risk Score

The site is a long‑standing university domain with no malicious signs; it appears legitimate.

Safety Factors
Established domain age
Self‑branding matches domain
Absence of malicious indicators (IoC, YARA, IDS)
Page type is article/news, not a login or payment page
Domain age information unavailable

Details

Page Title

Home - Universidade Federal do Rio Grande - FURG

Scan Type

public

Language

🇵🇹

Portuguese

(47% confidence)

Category

government public service

(74%)

Domain Information

Domain 'www.furg.br' uses the Brazilian country-code top-level domain (.br); it also runs on subdomain 'www'. Count 4 characters in 'furg' containing 1 vowel alongside 3 consonants. It segments into 2 words: fur, g. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

11.78s
Total Load Time
47
HTTP Requests
9
Domains
551 KB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:47%
Script:Latin
Direction:ltr

Detection Details

Language Code:pt
Detection Confidence:47%
Script Type:Latin
HTML Lang Attribute:en-gb
Text Length:8,894 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as pt

Website Classification

Primary Category

government public service74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
74%
documentation technical
51%
education learning
38%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.21.27.152United States
AS13335Cloudflare, Inc.
754.233.226.96São Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
7200.19.254.110Rio Grande, Rio Grande do Sul, Brazil
AS2716Universidade Federal do Rio Grande do Sul
7142.251.127.97United States
AS15169Google LLC
7142.251.127.101United States
AS15169Google LLC
7142.250.154.95United States
AS15169Google LLC
476--

Detected Technologies7

Open-Graph-Protocolvarticle
100%
MetaGenerator
100%
Google-AnalyticsvUniversal
100%
Joomla!
50%
HSTS
40%
Google Analytics
35%
jQuery
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E4A3963D20583C3F9033A2476915275DA08B5D7BCA3B0D29BBFF53569FC1D81BAA610A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vuDzRR6LiDoZ8Do59zOb2t5SHDc/CDc/SKvQcjWdpdaCtiKphJ+:vyYiDoKDo5Zchw8Ba6/pm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:103005:RjIAgJUAAjRAZEQuIAHFcilgANmivABFAOEUEAAAEoSYCp6B/cQolEMGAMDMx8kbgwcwghNygKxkUQAqAVx4wcyYHAQCiu2a

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:0000cfc3fffffff3
Perceptual Hash:b0124e536db8ed99
Difference Hash:cd4d1e1e1e062626
Wavelet Hash:0000c3c3cfe3ffe3
Color Hash:#2dd2cd

Other Hashes

Crop Resistant:cd4d1e1e1e062626,94dd69cd6d65d961,c509e5e4d9c1c519,6448685ad6daeb2b

Scan History

Scan history not available

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