Security Scan Report: eidmubarakmiss-eoaf9ehobo.edgeone.app

Submitted: Mar 26, 2026, 6:53:03 PMCompleted: Mar 26, 2026, 6:54:25 PMpubliccompleted
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Summary

This website contacted 5 IPs in 1 country across 5 domains to perform 1 HTTP transaction. The main domain is eidmubarakmiss-eoaf9ehobo.edgeone.app and was registered NaN years ago.

Submitted URL: https://eidmubarakmiss-eoaf9ehobo.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 malicious activity detected; site appears benign.

Safety Factors
Standard external resources only (Google Fonts, Tenor media)
Hosted on a known platform (edgeone.app) without credential collection
Low JavaScript obfuscation score indicating normal minification
Domain age information unavailable

Details

Page Title

Eid Mubarak Beigum πŸŒ™

Scan Type

public

Language

πŸ‡ΈπŸ‡¦

Arabic

(60% confidence)

Category

adult content

(40%)

Domain Information

Within the application-focused generic top-level domain (.app), 'eidmubarakmiss-eoaf9ehobo.edgeone.app' is registered and includes subdomain 'eidmubarakmiss-eoaf9ehobo'. Its registrable label 'edgeone' stretches across 7 characters holding four vowels versus three consonants. Breaking it apart gives 2 words: edge, one. The median word length lands at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://eidmubarakmiss-eoaf9ehobo.edgeone.app/

Page Load Overview

0.97s
Total Load Time
10
HTTP Requests
5
Domains
3.2 MB
Total Size

Language Analysis

Primary Language

πŸ‡ΈπŸ‡¦Arabic
Code: ar
Confidence:60%
Script:Arabic
Direction:rtl

Detection Details

Language Code:ar
Detection Confidence:60%
Script Type:Arabic
HTML Lang Attribute:en
Text Length:2,441 chars
Detector Agreement:50%
Language mismatch: Declared as en but detected as ar

Website Classification

Primary Category

adult content40% confidence
Type: static
Method: ml+structural

All Detected Categories

adult content
40%
healthcare medical
35%
phishing scam
35%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
2142.250.186.74Singapore
2142.251.208.170Singapore
2142.251.208.10SingaporeUnknown
243.152.26.58Singapore
2142.250.187.195SingaporeUnknown
105--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T17943D76092A2103690678E9639F78F4D26A5D807DD0BC91D73BD46C88FF7DE2CE23658

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:IPWlWzKxNbhrp6pzt4jCcOStrNzTnuDMqdDWHaMFB3Ms:n3Ms

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:55183:JEIjQCAwcMUo2FMkoRYHoQmAAyYhCVkIhaJgQCOICEAqhAkHMUARPMIgRoJoBHgAElgfSIYMUNUFQgBBQOCeUbAnSEAtDlIS

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:0018181818180000
Perceptual Hash:cccc3333cccc9933
Difference Hash:0c30323030101000
Wavelet Hash:e07a98783ddd9882
Color Hash:#2dd274

Other Hashes

Crop Resistant:0c30323030101000

Scan History

Scan history not available

Unable to load historical scan data