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Security Scan Report: pikselglobaljournal-dpp6yca56kr6.edgeone.app

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Submitted: Jun 20, 2026, 1:22:58 AMCompleted: Jun 20, 2026, 1:24:07 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 2 HTTP transactions. The main domain is pikselglobaljournal-dpp6yca56kr6.edgeone.app and was registered NaN years ago.

Submitted URL: https://pikselglobaljournal-dpp6yca56kr6.edgeone.app/brazil-stocks.html

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Moderate Risk

Confidence: 70%

5
Risk Score

The page is an article with no malicious forms or code, but the unknown subdomain age and low reputation warrant moderate caution.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Possible brand mention without clear impersonation
Safety Factors
No credential or payment forms
No malicious JavaScript or YARA detections
No network IDS alerts
Page identified as an article (og:type="article")
Domain age information unavailable

Details

Page Title

Understanding Brazil Stocks: Key Sectors and Market Dynamics

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(70%)

Domain Information

Within the application-focused generic top-level domain (.app), 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' is registered, featuring subdomain 'pikselglobaljournal-dpp6yca56kr6'. Count 7 characters in 'edgeone' split between 4 vowels and 3 consonants. Word splitting yields 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pikselglobaljournal-dpp6yca56kr6.edgeone.app/brazil-stocks.html

Page Load Overview

1.88s
Total Load Time
13
HTTP Requests
11
Domains
33 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:en-US
Text Length:7,038 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate70% confidence
Type: dynamic
Method: structural

All Detected Categories

corporate
70%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.21.0.120United States
AS13335Cloudflare, Inc.
2157.240.0.6Frankfurt am Main, Hesse, Germany
AS32934Facebook, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2172.240.108.84United States
AS7979Servers.com, Inc.
2142.251.127.95United States
AS15169Google LLC
136--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Bootstrapv4.1.3
100%
Statcounter
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12E92D733EEA021386A620186F4D273ECBF7CC51AE7D5CCA1745DA3285B823DB4876748

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMcrhnYf8zX+IRlCFijMwElBpoAZBoyjCLSrbeOSJMpau2t5H8H59FNjag4nF:3Qcrhnz+IRlCFijMwElBpoAZBoDLzBJR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19387:QwBUI0hAazFN4ECAJuBLomgAkCCTDQQDyF8QWwCAMVACZkyGAAOEQwVLSpJhOgIuKIMgcAGMIIYJoESQgX8qmMQFAE3Qp0TQ

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:c3e7ffffc3c3c3c3
Perceptual Hash:b4c734249acd9c67
Difference Hash:0e0e080016161616
Wavelet Hash:00c2e6ffc3c3c3c3
Color Hash:#d2799a

Other Hashes

Crop Resistant:0e0e080016161616

Scan History

Scan history not available

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