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Security Scan Report: pikselglobaljournal-dpp6yca56kr6.edgeone.app

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Submitted: Jun 29, 2026, 6:43:43 AMCompleted: Jun 29, 2026, 6:44:52 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-deep-water-oil.html

AI Security Verdict

Low Risk

Confidence: 78%

2
Risk Score

No malicious indicators; page is a benign article with no credential collection – low risk.

Risk Factors
Unranked domain (weak signal)
Subdomain creation date unknown
Safety Factors
No forms collecting credentials or payment data
No malicious scripts or behavior detected
Content classified as news/article
No external malicious links or IDS alerts
Domain age information unavailable

Details

Page Title

Brazil's Deep Water Oil Exploration: Challenges and Opportunities

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(67%)

Domain Information

The domain 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'pikselglobaljournal-dpp6yca56kr6'. The core label 'edgeone' covers 7 characters holding 4 vowels versus 3 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-deep-water-oil.html

Page Load Overview

2.31s
Total Load Time
20
HTTP Requests
14
Domains
111 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:3,489 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business67% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
67%
adult content
55%
blog personal website
44%
government public service
41%
documentation technical
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5142.251.13.95United States
AS15169Google LLC
3104.18.10.207United States
AS13335Cloudflare, Inc.
3172.67.150.240United States
AS13335Cloudflare, Inc.
343.152.26.58Singapore
AS139341ACE
3172.240.127.242United States
AS7979Servers.com, Inc.
3172.66.140.55United States
AS13335Cloudflare, Inc.
206--

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

T1F4721A27E9C1202DBA6312C5B492B2FCB93DC807D7A588F5799CB36D9BC52CB5836108

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMQhnYf8zX+IjrwmPMUSTpOLkgVi4vdFNjag4n+L8k:3QQhnz+IjrwmPMUSTpOL3ViaNjag4+4k

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17113:AgQMgMFMAwEJKkEAZQTU4IMg0cCCMSWNLECYfoWRZkERgoohRkGHAiFJUsXJVsFaAWQIIkIBUASAECCTlRYSElQmgMoICJET

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:c3c3e7ffc3c7c3c3
Perceptual Hash:b4c73565d98a8a36
Difference Hash:0e0e0c0006160e16
Wavelet Hash:00c2e7ffc3c3c3c2
Color Hash:#3a7852

Other Hashes

Crop Resistant:0e0e0c0006160e16

Scan History

Scan history not available

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