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Security Scan Report: pikselglobaljournal-dpp6yca56kr6.edgeone.app

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Submitted: Jun 28, 2026, 11:30:12 PMCompleted: Jun 28, 2026, 11:31:21 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/can-americans-invest-in-russian-stocks.html

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The site shows no malicious forms, IoCs, or malware; only weak signals from an unranked, unknown‑age subdomain, resulting in a low‑risk rating.

Risk Factors
Unranked domain
Unknown sub‑domain creation date
Safety Factors
Absence of forms that collect credentials or payment data
No malicious JavaScript or network activity detected
No external threat‑intel or IDS alerts
Content appears to be informational news/article
Domain age information unavailable

Details

Page Title

Can Americans Invest in Russian Stocks: A Complex Issue

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

government public service

(63%)

Domain Information

Domain 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'pikselglobaljournal-dpp6yca56kr6'. Its registrable label 'edgeone' stretches across 7 characters with 4 vowels and three consonants. Breaking it apart gives two words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pikselglobaljournal-dpp6yca56kr6.edgeone.app/can-americans-invest-in-russian-stocks.html

Page Load Overview

2.31s
Total Load Time
13
HTTP Requests
11
Domains
45 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:3,554 chars
Detector Agreement:100%

Website Classification

Primary Category

government public service63% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

government public service
63%
adult content
57%
blog personal website
46%
corporate business
45%
news media journalism
38%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3101.33.10.10Frankfurt am Main, Hesse, Germany
AS139341ACE
2104.18.10.207United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
223.55.110.202Frankfurt am Main, Hesse, Germany
AS20940Akamai International B.V.
2142.250.154.95United States
AS15169Google LLC
2172.240.108.84United States
AS7979Servers.com, 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

T1D762E837BF922039ABA20045B5D37AECBB7C90179395CCF578AD53388BC52CB857A254

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMkEhnYf8zX+I3RibBuA5pBKdWgaB6YBFNjag4n+9y:3Q1hnz+I3RibBuA5pIdW5B9bNjag4+M

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15886:ggIDnSgJEcQEoAgm7kKpiiQCaY4GwRFyOUAQGghAACRgRBAA0m8kgERwGI0kwJs4ACQYCQAZwAwRAj7NMiKICUCBGNyBUhQL

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:e7e7ffffc3cfcfdf
Perceptual Hash:b8c73838c798c73c
Difference Hash:0e0e080016b6b4b4
Wavelet Hash:00c2cece82cecece
Color Hash:#2d8630

Other Hashes

Crop Resistant:0e0e080016b6b4b4

Scan History

Scan history not available

Unable to load historical scan data