Security Scan Report: www.enap.gov.br

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Submitted: Oct 6, 2025, 3:09:05 PMCompleted: Oct 6, 2025, 3:11:04 PMpubliccompleted
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Summary

This website contacted 78 IPs in 4 countries across 19 domains to perform 236 HTTP transactions. The main domain is enap.gov.br and was registered NaN years ago.

Submitted URL: https://www.enap.gov.br/

AI Security Verdict

Safe Website

Confidence: 95%

1
Risk Score

The site appears to be the legitimate ENAP government portal with minimal risk.

Safety Factors
Long‑standing domain registration
Government .gov.br domain
Absence of credential‑harvesting or payment forms
No external malicious links
Domain age information unavailable

Details

Page Title

Portal Enap

Scan Type

public

Language

🇵🇹

Portuguese

(80% confidence)

Category

government public service

(82%)

Domain Information

The domain name 'www.enap.gov.br' uses the Brazilian country-code top-level domain (.gov.br) with subdomain 'www'. The second-level label 'enap' is 4 characters long holding 2 vowels versus 2 consonants. Segmentation suggests 2 words: e, nap. Expect two characters per word on average. The linguistic tilt is Italian for 'e'. You will also see it in Albanian and Galician contexts. Overall, 'www.enap.gov.br' reads as Italian.

Screenshot

Security scan screenshot of https://www.enap.gov.br/

Page Load Overview

66.27s
Total Load Time
236
HTTP Requests
19
Domains
98.8 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:11,128 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service82% confidence
Type: spa
Method: ml+structural

All Detected Categories

government public service
82%
government
48%
news/blog
35%

Detected Features

Search
Articles
OG: article

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.250.185.170United States
AS15169GOOGLE
315.229.72.199São Paulo, São Paulo, Brazil
AS16509AMAZON-02
3142.250.185.68United States
AS15169GOOGLE
3104.17.24.14United States
AS13335CLOUDFLARENET
379.127.216.112Frankfurt am Main, Hesse, Germany
AS60068Datacamp Limited
318.173.205.27United States
AS16509AMAZON-02
318.173.205.34United States
AS16509AMAZON-02
3172.217.18.10United States
AS15169GOOGLE
3142.250.181.232United States
AS15169GOOGLE
3200.130.16.243Brasília, Federal District, Brazil
AS1916Rede Nacional de Ensino e Pesquisa
23678--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1A374951915F33133042392F467E76B0ABA759623D146CD947AEE4B888FC2F948D6378E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:3SZ1bkAkYWw/OMsmsPwFAYpIP/Q9KbWwzkqS1JKl5N8xN+QifBWx3HVfgJm+b/pd:ukh9PwF9azzS12D8aQxCp8Ww4UaV7B

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:340663:Qo4AZCBLEkVAOGrEYTOcgARMZgBAiHgpSAoAUgsAICpAwiAoBCCSNJgw8AKEAXOZZg8iiFWAR4QYAUgClIQLgWDciMNkOIEM

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:ffc160606000f7ff
Perceptual Hash:e36abc1987335b14
Difference Hash:3907c7cbc1c31734
Wavelet Hash:ff80e0606000ffff
Color Hash:#4d2d86

Scan History

Scan history not available

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