Security Scan Report: catalao.ufg.br

Submitted: Jan 14, 2026, 1:36:43 AMCompleted: Jan 14, 2026, 1:39:39 AMpubliccompleted
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Summary

This website contacted 5 IPs in 2 countries across 6 domains to perform 21 HTTP transactions. The main domain is catalao.ufg.br and was registered NaN years ago.

Submitted URL: https://catalao.ufg.br/

The Cisco Umbrella rank of the primary domain is #487,609 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 98%

0
Risk Score

Legitimate university site; no security concerns detected.

Safety Factors
Well‑established domain with long registration history
Official university subdomain (catalao.ufg.br)
Absence of login or payment forms
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Universidade Federal de Goiás - Regional Catalão

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(74%)

Domain Information

The domain name 'catalao.ufg.br' uses the Brazilian country-code top-level domain (.br), featuring subdomain 'catalao'. The second-level label 'ufg' is 3 characters long holding 1 vowel versus 2 consonants. Tokenizing the label suggests 2 words: uf, g. Average segment length settles at 1.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://catalao.ufg.br/

Page Load Overview

95.11s
Total Load Time
36
HTTP Requests
4
Domains
N/A
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:107 chars
Detector Agreement:100%

Website Classification

Primary Category

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

All Detected Categories

government public service
74%
education learning
29%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
856.125.212.59Brazil
7104.16.175.226Brazil
7104.18.10.207United States
AS13335CLOUDFLARENET
754.233.226.96São Paulo, São Paulo, Brazil
AS16509AMAZON-02
7200.137.218.130Goiânia, Goiás, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
365--

Detected Technologies1

40%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19FD3186E45F4143A60338297B9917F2AA162A043F53ACD19FBFC1E18DF89D91E49334B

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:ayl5NZiAs6UXCqZvNJTnLX6LiDoZ8DoY8i3LQH0Lkml1M1Xvl1SOlc1fa:a0Z86Z2vNJTnLXYiDoKDoYd3sH0NiX6a

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:138545:mEIKDsRAUwRQHFQQlIDvQChpIiYAAJiLAyGIfIVCIBmdqRIUFX0HCBCAaJz0ckA0QPISIQgJUDDFNByCwYRIpDgiIgAhX4FY

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:ffdf8180dfffc3df
Perceptual Hash:bc6d839ac7254b38
Difference Hash:2236161630321e1e
Wavelet Hash:dbc30000dedfc3c7
Color Hash:#3a6d78

Scan History

Scan history not available

Unable to load historical scan data