Security Scan Report: www.ifgoiano.edu.br

Redirected to:
https://ifgoiano.edu.br/home/index.php
Site favicon
Submitted: Jun 10, 2026, 5:09:02 PMCompleted: Jun 10, 2026, 5:11:42 PMpubliccompleted
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Summary

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

Submitted URL: https://www.ifgoiano.edu.br

Effective URL: https://ifgoiano.edu.br/home/index.phpRedirected

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Site appears legitimate with no malicious activity detected.

Safety Factors
Long‑standing domain registration
Absence of credential‑collecting forms
No malicious indicators from threat intel or YARA
No suspicious network activity
Domain age information unavailable

Details

Page Title

Instituto Federal Goiano

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

documentation technical

(77%)

Domain Information

The domain 'www.ifgoiano.edu.br' uses the Brazilian country-code top-level domain (.edu.br) and includes subdomain 'www'. Count 8 characters in 'ifgoiano' split between five vowels and three consonants. It segments into four words: if, goi, a, no. Average segment length settles at two characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ifgoiano.edu.br

Page Load Overview

90.12s
Total Load Time
54
HTTP Requests
11
Domains
4.9 MB
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:6,531 chars
Detector Agreement:60%

Website Classification

Primary Category

documentation technical77% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
77%
government public service
75%
education learning
48%
education
45%
technology software
38%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14177.223.42.228Goiânia, Goiás, Brazil
AS266539LINQ TELECOMUNICACOES
10104.17.24.14United States
AS13335Cloudflare, Inc.
1065.8.131.79United States
AS16509Amazon.com, Inc.
10142.251.14.138United States
AS15169Google LLC
1054.94.91.200São Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
545--

Detected Technologies7

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T16843B6021ACD673701376640A9603B58F4AF9A3BCA274D5076FF2B8B5BC5FC854189AF

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:LdeQ0v64CFLp9TX2RNDm/zEHLLL6FMR1RpCD91vUT7lo7:LUQ0v64CFLptX2RNpz5z2Dk7lo7

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:60076:QxTgGCgAiSrBDSDwIyEwFRESBDWlDITeIrhBWEgI5KD8UACKywrgKwkEkCUAQDUhIoOQQQVBlIJoyDNQAAJGSglC4QNCuDgj

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:0000fbfff3f3f3ff
Perceptual Hash:e51a136613ece9e4
Difference Hash:eded06160606061a
Wavelet Hash:0000c3f3f3e3e3eb
Color Hash:#91d279

Scan History

Scan history not available

Unable to load historical scan data