Security Scan Report: www.furg.br

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

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Submitted: Oct 13, 2025, 1:22:26 AMCompleted: Oct 13, 2025, 1:23:57 AMpubliccompleted
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Summary

This website contacted 48 IPs in 3 countries across 9 domains to perform 48 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: 95%

0
Risk Score

Legitimate university website with no security concerns.

Safety Factors
Established educational institution
Domain age > 10 years
No malicious Indicators of Compromise detected
No sensitive data collection forms
Domain age information unavailable

Details

Page Title

www.furg.br

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(84%)

Domain Information

Domain 'www.furg.br' uses the Brazilian country-code top-level domain (.br), featuring subdomain 'www'. Count 4 characters in 'furg' split between one vowel and three consonants. Tokenizing the label suggests 2 words: fur, g. Expect 2 characters per word on average. 'fur' is most common in Chinese (Zhuyin) usage. You will also see it in Sinhala and Breton contexts.

Screenshot

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

Page Load Overview

43.99s
Total Load Time
48
HTTP Requests
9
Domains
709 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-gb
Text Length:8,592 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service84% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
84%
education learning
62%
documentation technical
34%
news/blog
20%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1172.217.18.14United States
AS15169GOOGLE
1151.101.193.229San Francisco, California, United States
AS54113FASTLY
1142.250.185.232United States
AS15169GOOGLE
1151.101.1.229San Francisco, California, United States
AS54113FASTLY
1104.21.27.152United States
AS13335CLOUDFLARENET
115.229.72.199São Paulo, São Paulo, Brazil
AS16509AMAZON-02
1142.250.184.202United States
AS15169GOOGLE
1142.250.185.142United States
AS15169GOOGLE
154.232.243.131São Paulo, São Paulo, Brazil
AS16509AMAZON-02
1142.250.185.78United States
AS15169GOOGLE
4848--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5C3D6382068383B903362473A656718A09BED77C6360D6EBBFF37668BC1D81756750E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:vvmtaXGUtNRdENMDzRR6LiDoZ8Do59zOb2t5SFDc/XDc/JOze2PCwmaCtiKpJJ+:vviUmAYiDoKDo5ZIU0ORea6/pu

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:126463:UClHIDsiUIABED0RKACgpABiJhBMRQ5FdXZIEBEsABUBUCURANRYQFUdD58IUkKOqA8JOAABhaBaDkA24KCCgjHqogAACEmB

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:0000c3c3ffffffe7
Perceptual Hash:b00e124e71fcf1cd
Difference Hash:cd4d1696160e1e0f
Wavelet Hash:0000c3c3cfe3ffc7
Color Hash:#9e6ce0

Scan History

Scan history not available

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