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Security Scan Report: link-alragheb-zddleyqohm.edgeone.app

Submitted: Nov 24, 2025, 5:58:54 PMCompleted: Nov 24, 2025, 6:00:09 PMpubliccompleted
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Summary

This website contacted 21 IPs in 4 countries across 7 domains to perform 14 HTTP transactions. The main domain is link-alragheb-zddleyqohm.edgeone.app.

Submitted URL: https://link-alragheb-zddleyqohm.edgeone.app/

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

AI Security Verdict

Low Risk

Confidence: 70%

3
Risk Score

Site shows low risk indicators but no clear malicious activity.

Risk Factors
Low ranking domain (rank >100k) claiming a brand
Unknown or very recent domain age
Use of a sub‑domain on edgeone.app with random identifier
Safety Factors
No login or password fields detected
No payment collection forms
No malicious Indicators of Compromise matches found
No external links or redirects
Domain age information unavailable

Details

Page Title

ALRAGHEB STORE

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

corporate business

(94%)

Domain Information

The domain name 'link-alragheb-zddleyqohm.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'link-alragheb-zddleyqohm'. Count 7 characters in 'edgeone' holding four vowels versus three consonants. Breaking it apart gives 2 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://link-alragheb-zddleyqohm.edgeone.app/

Page Load Overview

0.54s
Total Load Time
14
HTTP Requests
7
Domains
1.4 MB
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:262 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business94% confidence
Type: static
Method: ml+structural

All Detected Categories

corporate business
94%
e-commerce shopping
68%
finance banking
63%
technology software
42%
adult content
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
14151.101.193.229San Francisco, California, United States
AS54113FASTLY
6142.250.185.131United States
AS15169GOOGLE
2135.181.63.70Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
243.152.26.58Singapore
AS139341ACE
2104.16.175.226United States
AS13335CLOUDFLARENET
1142.250.186.42United States
AS15169GOOGLE
1172.67.136.230United States
AS13335CLOUDFLARENET
0142.250.186.106United States
AS15169GOOGLE
0142.250.181.227United States
AS15169GOOGLE
0104.21.78.200United States
AS13335CLOUDFLARENET
1421--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T14EF185978AA310633503D598AFF3A71DA261E403CA4BDC293FDC6244CFC7A66885779C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:5rxddo/kdc5D+TPIL2aCkpiigTpqMiz6fqQzj:5rPdUglJHqQv

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:7710:QokqIIS3AAAIakqmJIIWNBAEYBF8KBISLMCFAC2EJUBlBVgAEgNX1CBNBFDBBBG5IAgQAxIgBIQSVREIaYCAGF6USEkELWng

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:bbff7b6c0c098880
Perceptual Hash:9b86642e52f92d5a
Difference Hash:7365dbd969731311
Wavelet Hash:b9ff3bfc0c098881
Color Hash:#bad22d

Other Hashes

Crop Resistant:25e1171fe7b1f171,1008020000300f03,9974f2f0b094c864,fefafefff8f91838,48a8f4d2eafdf47e,7265dbd969731219

Scan History

Scan history not available

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