Security Scan Report: growing-magenta-9mclkojwwg-3sn1a9vvxw.edgeone.app

Submitted: Nov 24, 2025, 5:54:01 PMCompleted: Nov 24, 2025, 5:55:22 PMpubliccompleted
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Summary

This website contacted 13 IPs in 3 countries across 5 domains to perform 12 HTTP transactions. The main domain is growing-magenta-9mclkojwwg-3sn1a9vvxw.edgeone.app.

Submitted URL: https://growing-magenta-9mclkojwwg-3sn1a9vvxw.edgeone.app/

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

AI Security Verdict

Safe Website

Confidence: 92%

0
Risk Score

No suspicious activity detected; site appears legitimate.

Safety Factors
Domain is not hosted on IPFS or cloud storage
No redirects or hidden URL manipulation detected
Low ranking alone is not sufficient without other malicious indicators
Domain age information unavailable

Details

Page Title

اختبار ماهية النجوم

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

unknown

(0%)

Domain Information

The domain name 'growing-magenta-9mclkojwwg-3sn1a9vvxw.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'growing-magenta-9mclkojwwg-3sn1a9vvxw'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus 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://growing-magenta-9mclkojwwg-3sn1a9vvxw.edgeone.app/

Page Load Overview

0.30s
Total Load Time
12
HTTP Requests
5
Domains
238 KB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:80%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:80%
Script Type:Arabic
HTML Lang Attribute:ar
Text Length:273 chars
Detector Agreement:100%

Website Classification

Primary Category

unknown0% confidence
Type: static
Method: structural

All Detected Categories

No categories detected

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
12104.17.24.14United States
AS13335CLOUDFLARENET
6142.250.185.131United States
AS15169GOOGLE
2104.17.25.14United States
AS13335CLOUDFLARENET
243.152.26.58Singapore
1188.114.97.3United States
AS13335CLOUDFLARENET
1142.250.186.170United States
AS15169GOOGLE
0188.114.96.3United States
AS13335CLOUDFLARENET
02606:4700::6811:180eUnited States
AS13335CLOUDFLARENET
02a00:1450:4001:81c::200aFrankfurt am Main, Hesse, Germany
AS15169GOOGLE
02a06:98c1:3120::3United States
AS13335CLOUDFLARENET
1213--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1BF826496567204714957D9ACA3D37218FA30FD03AE0AFE203A8D5340CF9B55AC66B3BD

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:sH9Xk8nBFrFqtapj9FrsRx8B0sCyJQjnvZjyDyuEmH7zmCLXlWl/3t5SUsr9er8g:+9XVFrFAvFJ9ovmCQQUurdj6JLto0Rf

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:18741:84CRLFAlCToBMDmcxsExSAAIEICKAYK1YAKJSAipgLLqosA6AieAbIEmFqkB1SQFAwJIJGIhsiSAIXiCAhMEAGB5KIcCYoCg

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:01091d1f3f3f1f0f
Perceptual Hash:8b19644633779b99
Difference Hash:fff3f3f9f9e9efff
Wavelet Hash:00011f1f3f3f1f0f
Color Hash:#bad22d

Other Hashes

Crop Resistant:fff3f3f9f9e9efff

Scan History

Scan history not available

Unable to load historical scan data