Security Scan Report: www.ifms.edu.br

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Submitted: Dec 8, 2025, 4:06:27 PMCompleted: Dec 8, 2025, 4:07:55 PMpubliccompleted
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Summary

This website contacted 139 IPs in 4 countries across 22 domains to perform 163 HTTP transactions. The main domain is ifms.edu.br and was registered NaN years ago.

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

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government education site with no security concerns.

Safety Factors
Established educational institution (.edu.br domain)
Official government affiliation (Ministério da Educação)
No suspicious content or forms
Domain age information unavailable

Details

Page Title

Página inicial — IFMS Instituto Federal de Mato Grosso do Sul

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(93%)

Domain Information

The domain 'www.ifms.edu.br' uses the Brazilian country-code top-level domain (.edu.br), featuring subdomain 'www'. Its registrable label 'ifms' stretches across 4 characters holding one vowel versus 3 consonants. It segments into two words: if, ms. The median word length lands at two characters. No strong language cues emerged from the frequency lists.

Screenshot

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

Page Load Overview

35.29s
Total Load Time
163
HTTP Requests
22
Domains
3.9 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:5,992 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service93% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
93%
education learning
53%
education
45%
corporate
25%

Detected Features

Search
OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
25151.101.1.229San Francisco, California, United States
AS54113FASTLY
1104.18.0.22United States
AS13335CLOUDFLARENET
1157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
1172.217.18.22United States
AS15169GOOGLE
1172.217.208.136United States
AS15169GOOGLE
1142.250.184.206United States
AS15169GOOGLE
1151.101.193.229San Francisco, California, United States
AS54113FASTLY
174.125.29.93United States
AS15169GOOGLE
154.232.207.143São Paulo, São Paulo, Brazil
AS16509AMAZON-02
1216.58.206.78United States
AS15169GOOGLE
163139--

Detected Technologies5

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1AAE3B73B44E0743B1263C2B2E5E16B1D9542A54BDAB14D8CB7ED87944FCAFE2AC4360D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:l4SCfSXYiDoKDom3OxFv61tMHl06nFB7oo:l+SXYbCMFn0o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:154126:oxmgJiBBxhwQMcRnoh8BMAFEhkgwGAghEiAgiQAkCBlVWgTAegBGhFKBakGYUVAHBQwqBNUgiUejAE0AgoQRBEJQzwQ/RKSK

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:0000e3e3e7e7e7ef
Perceptual Hash:e30c1a12cd65ecfc
Difference Hash:e9f906060e0e0e0f
Wavelet Hash:0000e3e3e3e7e3e7
Color Hash:#2d5986

Scan History

Scan history not available

Unable to load historical scan data