Security Scan Report: portalpadrao.ufma.br

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Submitted: Completed: publiccompleted
This website contacted 24 IPs in 3 countries across 17 domains to perform 85 HTTP transactions. The main domain is ufma.br and was registered 30 years ago.

Submitted URL: https://portalpadrao.ufma.br/site/noticias/carta-da-andifes-a-sociedade-brasileira-diante-das-eleicoes-de-2026

The Cisco Umbrella rank of the primary domain is #713,988 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Official Universidade Federal do Maranhão article about an Andifes letter; established .ufma.br domain, no phishing, credential, malware, or payment risks detected.

Safety Factors (5)
Established 30-year-old domain registered to a federal university
Official .ufma.br government/education domain matching the site's own branding
Article content reporting on a third-party document, not impersonating any brand
No credential or payment collection forms
No Indicators of Compromise, malware signatures, or network IDS alerts
Domain age information unavailable

Details

Page Title

Carta da Andifes à sociedade brasileira diante das Eleições de 2026 — Universidade Federal do Maranhão

Scan Type

public

Domain Name Analysis

You're looking at domain 'portalpadrao.ufma.br' on the Brazilian country-code top-level domain (.br) and includes subdomain 'portalpadrao'. The registrable portion 'ufma' spans 4 characters containing 2 vowels alongside two consonants. Word splitting yields 2 words: uf, ma. Average segment length settles at 2 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://portalpadrao.ufma.br/site/noticias/carta-da-andifes-a-sociedade-brasileira-diante-das-eleicoes-de-2026

Page Load Overview

17.32s
Total Load Time
4.3 MB
Total Size

Language Analysis

Primary Language

🇵🇹Portuguese
Code: pt
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:pt-br
Text Length:5,214 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service67% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
67%
news media journalism
55%
education learning
26%
news/blog
20%
e-commerce
15%

Detected Features

Search
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
16200.137.132.187São Luís, Maranhão, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
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3146.75.120.157Fastly · CDNFrankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
3157.240.0.6Facebook · CDNFrankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
354.94.91.200Aws · CLOUDSão Paulo, São Paulo, Brazil
AS16509Amazon.com, Inc.
3142.251.13.139Google · CDNUnited States
AS15169Google LLC
3192.178.183.97Google · CDNUnited States
AS15169Google LLC
3142.251.110.94Google · CDNUnited States
AS15169Google LLC
3142.251.20.95Google · CDNUnited States
AS15169Google LLC
3142.251.153.4Google · CDNUnited States
AS15169Google LLC
8524--

Detected Technologies9

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1562340530AE4743A0F8282BAA6F0295DDD43514BE685BC4DB4ED479CAFC1FB24C1729E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:lcN3vOghwbphhoCNGy8yWTalNXdFIc6WXLW4nNXdFIc6cFT:lAvoLp

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:49450:EREQUFAQJCQqFALF0RYgnsBREAAKrgoIJWHmFQgkrDUaTBTYIAQbWxlLQTjEoFOJcTUliiEKVSYSQCAgIAxQUigEuiM5xBiA

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:0000ffffffffffff
Perceptual Hash:b614164e4b4b6be9
Difference Hash:c494164c0c0c0c0c
Wavelet Hash:0000c2e7e7e7c7c7
Color Hash:#412d86

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data