Security Scan Report: goias.gov.br

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Submitted: Nov 2, 2025, 11:47:41 AMCompleted: Nov 2, 2025, 11:48:53 AMpubliccompleted
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Summary

This website contacted 22 IPs in 3 countries across 6 domains to perform 138 HTTP transactions. The main domain is goias.gov.br and was registered NaN years ago.

Submitted URL: https://goias.gov.br/economia/

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

Legitimate government site with no security concerns.

Safety Factors
Established government domain with .gov.br TLD
Long domain age and well‑known hosting
Absence of credential or payment collection fields
No malicious Indicators of Compromise detected
Domain age information unavailable

Details

Page Title

Secretaria da Economia

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(93%)

Domain Information

The domain 'goias.gov.br' uses the Brazilian country-code top-level domain (.gov.br) without a subdomain. The registrable portion 'goias' spans 5 characters containing 3 vowels alongside two consonants. Segmentation suggests 2 words: goi, as. Median word length comes out to 2.5 characters. 'gooi' is most common in Afrikaans usage. You will also see it in Portuguese (Brazil) and English contexts.

Screenshot

Security scan screenshot of https://goias.gov.br/economia/

Page Load Overview

25.11s
Total Load Time
138
HTTP Requests
6
Domains
18.1 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:7,742 chars
Detector Agreement:75%

Website Classification

Primary Category

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

All Detected Categories

government public service
93%
technology software
88%
blog personal website
74%
documentation technical
61%
corporate business
60%

Detected Features

Search

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
1254.232.131.87São Paulo, São Paulo, Brazil
AS16509AMAZON-02
645.183.245.245Goiânia, Goiás, Brazil
AS269346Secretaria de Estado de Desenvolvimento e Inovacao
6151.101.65.229San Francisco, California, United States
AS54113FASTLY
645.183.244.245São Paulo, São Paulo, Brazil
AS269346Secretaria de Estado de Desenvolvimento e Inovacao
6151.101.129.229San Francisco, California, United States
AS54113FASTLY
6104.17.24.14United States
AS13335CLOUDFLARENET
654.207.147.179São Paulo, São Paulo, Brazil
AS16509AMAZON-02
6216.239.32.36United States
AS15169GOOGLE
6142.251.140.168United States
AS15169GOOGLE
652.67.106.133São Paulo, São Paulo, Brazil
AS16509AMAZON-02
13822--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T11C54D8B25C9920BF2167A6D8A2656B1F67D2C513CE4309D877FD4688CFC9FC25C6320A

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:Zf7vhd8XW54BamjUiX+M+bgaGhlvQtF4N4ukifx9VQWjmvhdanbH4jLgx8a5jx0M:NvhGamhaGh5QtF4N4ukifdShdI0J6

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:301504:QUCGRAJQEBaAmlTKorAgUtFUACDyKHWpmcBNGDjcEWmoAgzMBUgCoEDQQeEEDygISLABWkiaMICASAEEgKAsADW5xA1xAT5q

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:0000ffffffffe7a7
Perceptual Hash:bf581648dea298b3
Difference Hash:213036222a934f6f
Wavelet Hash:0000dfdbf7e303a7
Color Hash:#bad22d

Scan History

Scan history not available

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