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Security Scan Report: pikselglobaljournal-dpp6yca56kr6.edgeone.app

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Submitted: Jun 17, 2026, 4:35:21 PMCompleted: Jun 17, 2026, 4:36:30 PMpubliccompleted
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Summary

This website contacted 6 IPs in 3 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/do-we-get-oil-from-iran.html

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

AI Security Verdict

Low Risk

Confidence: 85%

2
Risk Score

Low‑risk site; no malicious indicators detected, safe for normal browsing.

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
Content classified as informational article
Domain age information unavailable

Details

Page Title

Do We Get Oil from Iran? Key Facts and Industry Impact

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(45%)

Domain Information

Domain 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'pikselglobaljournal-dpp6yca56kr6'. The core label 'edgeone' covers 7 characters containing four vowels alongside three 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/do-we-get-oil-from-iran.html

Page Load Overview

1.71s
Total Load Time
17
HTTP Requests
11
Domains
224 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:3,671 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical45% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
45%
corporate
35%
government public service
34%
blog personal website
33%
adult content
30%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
7172.67.150.240United States
AS13335Cloudflare, Inc.
2192.178.183.95United States
AS15169Google LLC
243.152.26.58Singapore
AS139341ACE
2172.240.108.84United States
AS7979Servers.com, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
223.227.38.74Ottawa, Ontario, Canada
AS13335Cloudflare, Inc.
176--

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

T115720A27FB812128552102D9F5C173FCBA38552BA787C9F5B85DF3299FCA2C744B2198

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqM5hnYf8zX+IVTQQtpgj8B9a87vmRFNjag4n+fQB:3Q5hnz+IVTQQtpgIB9a8CLNjag4++

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:17563:MloCjgmUgCNNGFAMAYgSQBoboTYRCQgBECifGNGEJhVIAEg28jMcJBIRBwYXA5CoQ4oswDAIYHixIBgRIAAHmhAiGQKQJJAk

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:c3c3ffffc3cfc3c3
Perceptual Hash:b0c7306574c79b66
Difference Hash:0e0e0800061e1e1e
Wavelet Hash:00c2fefec3c7c2c2
Color Hash:#ae2dd2

Other Hashes

Crop Resistant:0e0e0800061e1e1e

Scan History

Scan history not available

Unable to load historical scan data