Security Scan Report: econeteditora.com.br

Submitted: Mar 2, 2026, 1:52:52 PMCompleted: Mar 2, 2026, 1:54:31 PMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 3 HTTP transactions. The main domain is econeteditora.com.br and was registered NaN years ago.

Submitted URL: https://econeteditora.com.br

The Cisco Umbrella rank of the primary domain is #419,102 of the top 1 million websites

AI Security Verdict

Safe Website

Confidence: 96%

0
Risk Score

No malicious activity detected; the site appears legitimate.

Safety Factors
Well‑established domain registration date (2006‑03‑07)
No credential or payment collection forms
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior
No IDS alerts
Domain age information unavailable

Details

Page Title

The URL you requested has been blocked

Scan Type

public

Language

🇺🇸

English

(65% confidence)

Category

cryptocurrency blockchain

(39%)

Domain Information

The domain name 'econeteditora.com.br' uses the Brazilian country-code top-level domain (.com.br). The core label 'econeteditora' covers 13 characters with 7 vowels and 6 consonants. Tokenizing the label suggests 4 words: eco, net, editor, a. Median word length is three characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://econeteditora.com.br

Page Load Overview

2.52s
Total Load Time
2
HTTP Requests
1
Domains
38 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:65%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:65%
Script Type:Latin
Text Length:250 chars
Detector Agreement:100%

Website Classification

Primary Category

cryptocurrency blockchain39% confidence
Type: static
Method: ml+structural

All Detected Categories

cryptocurrency blockchain
39%
phishing scam
34%
documentation technical
34%
education learning
32%
news media journalism
31%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2200.195.174.122Brazil
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T13A03D0999D017A0D11FD25165EE05BCB2D7538C24532CACB3D3E3E5EC6622B303B9AB6

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:lHyM35YIbw94GQjtd+HyM35YIbw94GQjtdIs:lSM35YFFQjtwSM35YFFQjt9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:39110:HZJmTyQAkCEOABMeALaAWAw1JIQCKYJGIIqgCDIACAgRuERRiBHIygIIUlIBAU4GFCCWQYRYZSogzFrOIABDDBFiNFBsBYMI

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:003fbfffffffffff
Perceptual Hash:87070070707c7f7f
Difference Hash:40e0500000000000
Wavelet Hash:000f0fcf0f0f0f0f
Color Hash:#9953ac

Other Hashes

Crop Resistant:40e0500000000000

Scan History

Scan history not available

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