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Security Scan Report: pikselglobaljournal-dpp6yca56kr6.edgeone.app

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Submitted: Jun 26, 2026, 11:54:01 AMCompleted: Jun 26, 2026, 11:55:09 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/airport-ground-staff-jobs-in-uae-for-freshers.html

AI Security Verdict

Low Risk

Confidence: 58%

2
Risk Score

Informational article with no malicious signals; low risk despite unknown subdomain age.

Risk Factors
Domain is unranked in Cisco Umbrella
Subdomain creation date unknown (hosted on edgeone.app)
Hosted on a generic PaaS subdomain
Safety Factors
Page type is an article (og:type=article) with informational content
No forms or credential collection mechanisms present
No external malicious resources or exfiltration observed
Domain age information unavailable

Details

Page Title

Airport Ground Staff Jobs in UAE for Freshers: Opportunities and Selection Criteria

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

documentation technical

(61%)

Domain Information

Within the application-focused generic top-level domain (.app), 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' is registered and includes subdomain 'pikselglobaljournal-dpp6yca56kr6'. Its registrable label 'edgeone' stretches across 7 characters containing 4 vowels alongside 3 consonants. Tokenizing the label suggests 2 words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://pikselglobaljournal-dpp6yca56kr6.edgeone.app/airport-ground-staff-jobs-in-uae-for-freshers.html

Page Load Overview

2.35s
Total Load Time
13
HTTP Requests
11
Domains
573 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:2,539 chars
Detector Agreement:100%

Website Classification

Primary Category

documentation technical61% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

documentation technical
61%
government public service
59%
education learning
49%
adult content
43%
blog personal website
39%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.150.240United States
AS13335Cloudflare, Inc.
263.141.128.3United States
AS399566Bigcommerce Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2104.18.10.207United States
AS13335Cloudflare, Inc.
274.125.29.95United States
AS15169Google LLC
243.152.26.58Singapore
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

T172620B33BAD1512D7B2251AA74C276FC3E38841BD796CCF4B4ADA7289BC62CB4572214

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqM2hnYf8zX+Ibyi+RBY5p/eo7qO6fpeFNjag4n+TS:3Q2hnz+Ibyi+RBY5pWSBbNjag4+m

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15275:CmoJiQAEJQdOgFAi0hJYYSZAQQCyiQCUCCFfRkBYNCQ0AZIUCpuGgsJQJAyhEEFNQCAdAxAohAUQEtYCAEpOnSChJKAosJJI

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:f5772138cc98cb26
Difference Hash:0e0e0c00061e1606
Wavelet Hash:00c2e6fec3cfc3c2
Color Hash:#d279c3

Other Hashes

Crop Resistant:0e0e0c00061e1606

Scan History

Scan history not available

Unable to load historical scan data