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Security Scan Report: pikselglobaljournal-dpp6yca56kr6.edgeone.app

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Submitted: Jun 20, 2026, 2:48:29 PMCompleted: Jun 20, 2026, 2:49:37 PMpubliccompleted
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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-stock-market-today.html

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

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

The site shows no malicious indicators; it appears to be a regular article page with low risk.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Safety Factors
Absence of forms that collect passwords or payment data
No malicious IoC or YARA detections
Content classified as finance/banking article with no phishing language
Domain age information unavailable

Details

Page Title

Brazil Stock Market Today: Key Trends and Practical Insights for Investors

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

finance banking

(71%)

Domain Information

Within the application-focused generic top-level domain (.app), 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' is registered; it also runs on subdomain 'pikselglobaljournal-dpp6yca56kr6'. The second-level label 'edgeone' is 7 characters long containing 4 vowels alongside three consonants. Word splitting yields two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pikselglobaljournal-dpp6yca56kr6.edgeone.app/brazil-stock-market-today.html

Page Load Overview

1.77s
Total Load Time
13
HTTP Requests
11
Domains
56 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:3,738 chars
Detector Agreement:100%

Website Classification

Primary Category

finance banking71% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

finance banking
71%
blog personal website
60%
documentation technical
52%
adult content
48%
government public service
45%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3104.18.10.207United States
AS13335Cloudflare, Inc.
2142.251.20.95United States
AS15169Google LLC
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.26.8.233United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
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

T103720A33BE91653D6A62018AE4C273FC7E3D841793DACCE5B49DE3289B853C79836604

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMjhnYf8zX+Iv1OeUp6uq/JQOJcjhTq7XJPo8FNjag4n+ii:3Qjhnz+Iv1OeUpmxJWNqtzNjag4+n

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16137:hsMmiyCiEcRkpBAxxAFAqQEgcCGECaVwiAAUAHFT3FWsZFEMZJ2Is8VPwABWZwiFNBFIMAcGAgSDDRZAQDOI6RixaoAKgBIq

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:c3c3efffc3c7c3c3
Perceptual Hash:b5c73038ccdb8e23
Difference Hash:0e0e0c00161e1e1e
Wavelet Hash:80c2e6fec2c7c3c3
Color Hash:#1f8693

Other Hashes

Crop Resistant:0e0e0c00161e1e1e

Scan History

Scan history not available

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