Security Scan Report: al-noor-medical-dkufyy56wa.edgeone.app

Submitted: Jan 19, 2026, 12:19:48 PMCompleted: Jan 19, 2026, 12:21:13 PMpubliccompleted
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Summary

This website contacted 5 IPs in 3 countries across 5 domains to perform 8 HTTP transactions. The main domain is al-noor-medical-dkufyy56wa.edgeone.app and was registered NaN years ago.

Submitted URL: https://al-noor-medical-dkufyy56wa.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

Site appears legitimate with no security concerns.

Safety Factors
Established domain (>2 years)
No forms collecting sensitive data
No malicious Indicators of Compromise
Domain age information unavailable

Details

Page Title

Al Noor Medical | Virtual Assistant

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

healthcare medical

(72%)

Domain Information

Domain 'al-noor-medical-dkufyy56wa.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'al-noor-medical-dkufyy56wa'. The second-level label 'edgeone' is 7 characters long split between 4 vowels and three consonants. It segments into 2 words: edge, one. Median word length is 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://al-noor-medical-dkufyy56wa.edgeone.app/

Page Load Overview

0.68s
Total Load Time
12
HTTP Requests
6
Domains
874 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
Text Length:437 chars
Detector Agreement:67%

Website Classification

Primary Category

healthcare medical72% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
72%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
476.76.21.21Walnut, California, United States
AS16509AMAZON-02
243.152.26.58Singapore
2142.251.141.106United States
AS15169GOOGLE
2146.75.122.208Frankfurt am Main, Hesse, Germany
AS54113FASTLY
2142.250.184.195United States
AS15169GOOGLE
125--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1D3C1863295E3202A605391A12FD75B492238D007C84BC96C39ED1368DFCE9EA54F7F1D

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:ThmTxOugTsNnTU86bx5neI2Jt8RfStr/w5t7XGQxI2aq2BQRfDkf8+sQIHSuMhUc:NmTxOugcnw8+5neI2JKRKtr/w5t7XGQm

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:5673:ywiAISAhQAjSDFgwAIAQJNQAizTBRUQwVEzgCJGghAGQACCRQiFAAQgAUAMBSAAAGjCAJIIAAJQJAENAQoCUpUGQEgAAYUsI

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:000000ffff01feff
Perceptual Hash:d52a552aa3d722d5
Difference Hash:d0b0e82400131400
Wavelet Hash:000000ffff00ffff
Color Hash:#862d31

Scan History

Scan history not available

Unable to load historical scan data