Security Scan Report: sefaz.rs.gov.br

Redirected to:
https://fazenda.rs.gov.br/inicial
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Submitted: Jun 23, 2026, 7:18:32 AMCompleted: Jun 23, 2026, 7:20:44 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 4 HTTP transactions. The main domain is fazenda.rs.gov.br and was registered NaN years ago.

Submitted URL: https://sefaz.rs.gov.br

Effective URL: https://fazenda.rs.gov.br/inicialRedirected

The Cisco Umbrella rank of the primary domain is #467,549 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 95%

0
Risk Score

The site appears to be a legitimate government portal with no phishing or malware indicators.

Safety Factors
Established government domain (rs.gov.br subdomain)
Self‑branding matches the domain
No malicious network or IDS alerts
Low ranking does not imply threat for a government site
Domain age information unavailable

Details

Page Title

Secretaria da Fazenda

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(77%)

Domain Information

Within the Brazilian country-code top-level domain (.rs.gov.br), 'sefaz.rs.gov.br' is registered while skipping any subdomain. The core label 'sefaz' covers 5 characters containing 2 vowels alongside 3 consonants. Tokenizing the label suggests two words: sef, az. Average segment length settles at 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://sefaz.rs.gov.br

Page Load Overview

43.30s
Total Load Time
160
HTTP Requests
9
Domains
1.9 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:5,417 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service77% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
77%
technology software
53%
government
48%
cryptocurrency blockchain
30%
corporate
25%

Detected Features

OG: website

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
160200.198.128.51Porto Alegre, Rio Grande do Sul, Brazil
AS7465Cia de Processamento de Dados do RGS
1601--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F5D398119BE49437414382C1EA715B2AAF8BD577DA278908BAFF07C44FC6E47AC1325E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

3072:OCPf4UMftwPvRPfX2kKOsIYRsgxJcgpZ0AohEE/bcNc6i/DwtynKmZKqWQE:OCYUMftws

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:132381:pDwQAKQgEAAAYFSACCC+4BQzIAEA0fgomEQCbGEgEy2iFQ1vNSUdBCUGtAGYISDjhwDAhTBhCkh4JAAMQCAIqsC4gBUAfcEv

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:ffc7c7c3d3ffffff
Perceptual Hash:b1339acccc93b364
Difference Hash:0018181616000000
Wavelet Hash:fcdcc4c4003c3c3c
Color Hash:#ac9653

Other Hashes

Crop Resistant:0018181616000000

Scan History

Scan history not available

Unable to load historical scan data