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Security Scan Report: www.ifmg.edu.br

Submitted: Jan 25, 2026, 10:20:17 PMCompleted: Jan 25, 2026, 10:21:48 PMpubliccompleted
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Summary

This website contacted 3 IPs in 2 countries across 3 domains to perform 12 HTTP transactions. The main domain is ifmg.edu.br and was registered NaN years ago.

Submitted URL: https://www.ifmg.edu.br/landing/

The Cisco Umbrella rank of the primary domain is #756,271 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate site of Instituto Federal de Minas Gerais with no security concerns.

Safety Factors
Established domain (>10 years)
Official educational institution domain (.edu.br)
Absence of credential or payment collection forms
No malicious Indicators of Compromise
No detected malware or suspicious scripts
Domain age information unavailable

Details

Page Title

Processo Seletivo 2026 - IFMG

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

education

(45%)

Domain Information

The domain 'www.ifmg.edu.br' uses the Brazilian country-code top-level domain (.edu.br) and includes subdomain 'www'. The second-level label 'ifmg' is 4 characters long holding one vowel versus three consonants. It segments into two words: if, mg. Expect two characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.ifmg.edu.br/landing/

Page Load Overview

3.06s
Total Load Time
16
HTTP Requests
4
Domains
1.8 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:103 chars
Detector Agreement:67%

Website Classification

Primary Category

education45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

education
45%
government public service
38%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6142.251.141.106United States
AS15169Google LLC
5216.58.206.40United States
AS15169Google LLC
566.22.29.118São Paulo, São Paulo, Brazil
AS25773RADWARE INC.
163--

Detected Technologies4

Google-AnalyticsvUniversal
100%
Microsoft Power BI
40%
HSTS
40%
Google Analytics
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1E361B9975CC9E4B34603A2533FF5F91E2163910B62A9D48135DC9A149FCABB98C47C64

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:Ir3Gj5gaWVR+Vklf4goT8vy5j9t3taocglMWeew:Ir2dWz+Gf4goTfZt3AA/w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:3437:AABgAQAAQEAAAACoACEIIQACAIFggCAJCRgAEgggIJAEAQAYRAAgAhQAAIAAQIoIAIgCAsANJQEEUDMAQIWAAEAgEABKFEAA

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:cfcefefc0c8f0f0f
Perceptual Hash:b8e1b83f43a8e607
Difference Hash:1e1895195c3d3b3b
Wavelet Hash:ceccfccc08870f0f
Color Hash:#862d80

Other Hashes

Crop Resistant:1e1895195c3d3b3b,8f032d1b7171755d,0e276741c1e12424,8c2c2627655f1939,317e333a3b189c8c

Scan History

Scan history not available

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