Security Scan Report: pikselglobaljournal-dpp6yca56kr6.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 6 IPs in 2 countries across 11 domains to perform 14 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://pikselglobaljournal-dpp6yca56kr6.edgeone.app/abu-dhabi-airport-jobs-for-freshers.html

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

AI Security Verdict

Low Risk

Confidence: 75%

2
Risk Score

No malicious activity detected; the page appears to be a standard article with low risk.

Risk Factors (2)
Low domain ranking (455,732) in Cisco Umbrella
Unknown subdomain creation date on a hosting platform
Safety Factors (5)
No forms or fields that collect credentials or payment data
No malicious scripts or obfuscation detected
No network IDS alerts or threat‑intel matches
Content classified as an article, not a phishing or scam page
Hosted on a reputable platform (edgeone.app) without known abuse
Domain age information unavailable

Details

Page Title

Abu Dhabi Airport Jobs for Freshers: Entry-Level Roles That Actually Hire

Scan Type

public

Domain Name Analysis

Within the application-focused generic top-level domain (.app), 'pikselglobaljournal-dpp6yca56kr6.edgeone.app' is registered; it also runs on subdomain 'pikselglobaljournal-dpp6yca56kr6'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and three consonants. Breaking it apart gives 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/abu-dhabi-airport-jobs-for-freshers.html

Page Load Overview

2.06s
Total Load Time
195 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:5,928 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content64% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
64%
blog personal website
52%
government public service
43%
corporate business
38%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
454.192.35.30United States
AS16509Amazon.com, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2104.18.10.207United States
AS13335Cloudflare, Inc.
274.125.29.95United States
AS15169Google LLC
146--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T136921B23BAC5112D6A721182B8C135FC7E3D841BA787C8F974ACE32C5BC62DF4576668

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:3rgqMyhnYf8zX+IES4ztpKochhkKgQKDwB+vIQCFNjag4n+Ko:3Qyhnz+IES4ztpKTorQI5pINjag4+5

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19582:M5gNrSC0gDVByNg6VYACjlIFIBsIhy1aCQAwGAFiQpSgCCEVKAUK6UtRgCQEqBwImh5McCYRPGYxERhgaABLwpB1EaoBARyh

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:c3c3e7ffc3c3c3c3
Perceptual Hash:b4c7306598cb9673
Difference Hash:0e0e0c00161e1e1e
Wavelet Hash:00c2e6ffc3c3c3c3
Color Hash:#3b783a

Other Hashes

Crop Resistant:0e0e0c00161e1e1e

Scan History

Scan history not available

Unable to load historical scan data