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Security Scan Report: pikselglobaljournal-dpp6yca56kr6.edgeone.app

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Submitted: Jun 16, 2026, 4:00:25 AMCompleted: Jun 16, 2026, 4:01:38 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/10-empresas-oil-and-gas-en-venezuela.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

Low‑risk informational article with no malicious indicators detected.

Risk Factors
Subdomain on a hosting platform (.edgeone.app) with unknown creation date
Safety Factors
Absence of credential or payment collection forms
No malicious IoC or YARA detections
Page content is purely informational (article about oil and gas companies)
Domain age information unavailable

Details

Page Title

Exploring 10 Oil and Gas Companies in Venezuela

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(45%)

Domain Information

You're looking at domain 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' on the application-focused generic top-level domain (.app); it also runs on subdomain 'pikselglobaljournal-dpp6yca56kr6'. The second-level label 'edgeone' is 7 characters long with 4 vowels and three consonants. Segmentation suggests two 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/10-empresas-oil-and-gas-en-venezuela.html

Page Load Overview

1.61s
Total Load Time
13
HTTP Requests
11
Domains
55 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:3,249 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
45%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2142.251.13.95United States
AS15169Google LLC
2188.114.97.3United States
AS13335Cloudflare, Inc.
2172.240.108.84United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
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

T15062F973AEA1E024E6621189B492B6FCBF3C8417E7558CF174AEB7285B893C74933215

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMqhnYf8zX+Isinm9pS78FFNjag4n+Oy:3Qqhnz+Isinm9ppNjag4+9

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15523:E0pDzwyixYkG8ggYWEFAEh0CbBgCiwaQGSQUFEZBIV4oBgtjBEWIikFQAQ0QkFDoiWw1ICIYQCWUA5woQosKBeYZULyCgDSq

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:c3c3ffffc3c7c3c3
Perceptual Hash:b4c73033649bc796
Difference Hash:0e0e00161e1e1e16
Wavelet Hash:00c2fefec2c3c3c3
Color Hash:#8640bf

Other Hashes

Crop Resistant:0e0e00161e1e1e16

Scan History

Scan history not available

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