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Security Scan Report: www2.ifam.edu.br

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Submitted: Jun 12, 2026, 4:56:50 AMCompleted: Jun 12, 2026, 4:58:09 AMpubliccompleted
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Summary

This website contacted 4 IPs in 2 countries across 4 domains to perform 2 HTTP transactions. The main domain is www2.ifam.edu.br and was registered NaN years ago.

Submitted URL: https://www2.ifam.edu.br

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

The site appears legitimate with low risk; no phishing or malware indicators detected.

Risk Factors
Domain is unranked in Cisco Umbrella (not in top 1M)
High JavaScript obfuscation score (critical) without malicious behavior
Safety Factors
Long‑standing domain registration (since 2009)
Educational/government institution content
No suspicious forms or credential collection
No network IDS alerts or known malicious kits
Domain age information unavailable

Details

Page Title

IFAM — Portal do Instituto Federal do Amazonas

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(81%)

Domain Information

You're looking at domain 'www2.ifam.edu.br' on the Brazilian country-code top-level domain (.edu.br); it also runs on subdomain 'www2'. Its registrable label 'ifam' stretches across 4 characters with two vowels and two consonants. Word splitting yields two words: if, am. The median word length lands at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www2.ifam.edu.br

Page Load Overview

10.56s
Total Load Time
98
HTTP Requests
8
Domains
5.0 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:4,249 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
81%
education learning
59%
education
45%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2666.22.28.244São Paulo, São Paulo, Brazil
AS25773RADWARE INC.
24104.19.230.21United States
AS13335Cloudflare, Inc.
2434.117.2.119Kansas City, Missouri, United States
AS396982Google LLC
2466.22.63.144Ashburn, Virginia, United States
AS25773RADWARE INC.
984--

Detected Technologies3

MetaGenerator
100%
YouTube
30%
jQuery
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A5B38422C5E174360553D1F0B5F06F5DABC2E68BCAE25D4AB1EC83944FC5FA29C1361A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lgzvD7YwUKf0gmrpTjYvXlAqvvjzPP5zvd33r73zt1a25nPSq22FNVGxOS9TTn4R:luvD7Yw5VKq22O73pLxiohFarjdBXFP

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:113476:QiACBgSWEg6IEsLhxCKphAhCGMGEkgpRA3YGxGBEMZBEiL3iTSGo2wAAhbBuGgTAg0QLRAAlioVABBwAJC0cEHXEwwlBBEkB

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:0000e3e3e3ffffff
Perceptual Hash:e54a1e1ee1e1e49c
Difference Hash:edf107160e062e0e
Wavelet Hash:0000e3c3e3c3dfef
Color Hash:#1f8293

Other Hashes

Crop Resistant:edf107160e062e0e,c9b43666259ca636,a7696b969ca65251,a2aa84332382ba82,e8c8ede4c4b07151,8723cce1e16f0f2f

Scan History

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