Security Scan Report: zealous-amethyst-zprnqnnzqa-yexsjrfixc.edgeone.app

Submitted: Mar 20, 2026, 11:09:26 AMCompleted: Mar 20, 2026, 11:10:46 AMpubliccompleted
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Summary

This website contacted 6 IPs in 4 countries across 6 domains to perform 1 HTTP transaction. The main domain is zealous-amethyst-zprnqnnzqa-yexsjrfixc.edgeone.app and was registered NaN years ago.

Submitted URL: https://zealous-amethyst-zprnqnnzqa-yexsjrfixc.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; the site appears legitimate and safe.

Safety Factors
No credential or payment forms present
No malicious Indicators of Compromise
No JavaScript malware or suspicious behavior detected
Hosted on a reputable cloud hosting platform
Uses only standard external resources (Google Fonts, imgur.com)
Domain age information unavailable

Details

Page Title

EID MUBARAK

Scan Type

public

Language

🇸🇦

Arabic

(67% confidence)

Category

healthcare medical

(44%)

Domain Information

Within the application-focused generic top-level domain (.app), 'zealous-amethyst-zprnqnnzqa-yexsjrfixc.edgeone.app' is registered with subdomain 'zealous-amethyst-zprnqnnzqa-yexsjrfixc'. The core label 'edgeone' covers 7 characters with 4 vowels and three consonants. Word splitting yields 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://zealous-amethyst-zprnqnnzqa-yexsjrfixc.edgeone.app/

Page Load Overview

1.62s
Total Load Time
5
HTTP Requests
4
Domains
3.8 MB
Total Size

Language Analysis

Primary Language

🇸🇦Arabic
Code: ar
Confidence:67%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:67%
Script Type:Arabic
HTML Lang Attribute:en
Text Length:50 chars
Detector Agreement:100%
Language mismatch: Declared as en but detected as ar

Website Classification

Primary Category

healthcare medical44% confidence
Type: static
Method: ml+structural

All Detected Categories

healthcare medical
44%
news media journalism
35%
education learning
31%
government public service
31%
adult content
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5135.181.63.70Helsinki, Uusimaa, Finland
AS24940Hetzner Online GmbH
043.152.26.58Singapore
0146.75.120.193Frankfurt am Main, Hesse, Germany
AS54113Fastly, Inc.
0142.251.127.94Finland
0142.250.186.42United States
AS15169Google LLC
045.43.142.2UnknownUnknown
56--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T173C1F94F52B61536B853D36B39C6235CA17880076A03EC0C3ABC144ADFAA9D762BB794

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:TyQVUhZcu1uMF0HrTQkuY8RVYmyvBdfufW9MlX8hIU00j7216yw3n:CERrTl+0myvB1H2lX8uUPj7I6hn

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:6062:4gKAAAE4ygJwAQJCgAoIxIkERQyACSEhCEAYCwDEIgQcTkFgAITBIAwOgNHFaYgchYACOABiAMYFCAACpBQAQBAMBAkEAKgT

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:10000000ffffffff
Perceptual Hash:cc4ccc8c8c4ccebf
Difference Hash:b490801000000000
Wavelet Hash:10000000feffffff
Color Hash:#773a78

Other Hashes

Crop Resistant:b490801000000000

Scan History

Scan history not available

Unable to load historical scan data