Security Scan Report: www.ifmt.edu.br

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Submitted: May 21, 2026, 1:57:52 PMCompleted: May 21, 2026, 1:59:42 PMpubliccompleted
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Summary

This website contacted 8 IPs in 3 countries across 12 domains to perform 132 HTTP transactions. The main domain is ifmt.edu.br and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

The site appears legitimate with no malicious activity or phishing indicators detected.

Safety Factors
Long‑standing domain registration
Absence of credential or payment collection
No external malicious links or redirects
No IDS or network alerts
Self‑branding confirms legitimate ownership
Domain age information unavailable

Details

Page Title

Instituto Federal de Mato Grosso - IFMT

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

forum community discussion

(59%)

Domain Information

The domain 'www.ifmt.edu.br' uses the Brazilian country-code top-level domain (.edu.br); it also runs on subdomain 'www'. Its registrable label 'ifmt' stretches across 4 characters containing 1 vowel alongside three consonants. Segmentation suggests 2 words: if, mt. Median word length comes out to 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

107.42s
Total Load Time
132
HTTP Requests
0
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:7,806 chars
Detector Agreement:75%

Website Classification

Primary Category

forum community discussion59% confidence
Type: spa
Method: ml+structural

All Detected Categories

forum community discussion
59%
education
45%
government public service
28%
corporate
25%
news/blog
20%

Detected Features

Search
Articles
OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
20191.217.57.139Brasília, Federal District, Brazil
AS8167V tal
16142.250.154.97United States
AS15169Google LLC
1654.232.21.71São Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
16151.101.129.229United States
AS54113Fastly, Inc.
16104.18.179.120United States
AS13335Cloudflare, Inc.
1620.250.198.32Zurich, Zurich, Switzerland
AS8075Microsoft Corporation
16200.129.244.230Cuiabá, Mato Grosso, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
16104.21.72.124United States
AS13335Cloudflare, Inc.
08--

Detected Technologies11

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T19B53D9A177A0597A327F033EF857F20866195153D28DB7E5F8ADC0A891C9FB311A1B0E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:4dFmmu9nAlnXF1O2zkC7/+4tnFB4yfKcv5v/v/aPMvJyroAPyfKcv1v/aPMFJyLH:amHnAlnX62N+SnFP3Zxr5xdH6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:66275:IARHYgwFAUSQLfgGyiAlHBQBgBfRxwQqEHQFJBAQgJVpokukK5K2ACa8J1CUCMyhcUkTYjAiCAiIisQYGopYoUnQhZgASjgg

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:0000fffffffdf0ff
Perceptual Hash:ca356e4ab54a93a5
Difference Hash:c105000500252500
Wavelet Hash:0000fefefe9090fe
Color Hash:#85e06c

Scan History

Scan history not available

Unable to load historical scan data