Security Scan Report: muddy-coffee-o8tj0jli0a-t1p8brlhw6.edgeone.app

Submitted: Mar 6, 2026, 5:11:01 AMCompleted: Mar 6, 2026, 5:12:25 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 2 HTTP transactions. The main domain is muddy-coffee-o8tj0jli0a-t1p8brlhw6.edgeone.app and was registered NaN years ago.

Submitted URL: https://muddy-coffee-o8tj0jli0a-t1p8brlhw6.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: 99%

0
Risk Score

AI analysis skipped: HTTP 404 error page with no meaningful content to analyze.

Safety Factors
Error/status page with no actionable content
No forms, scripts, or interactive elements detected
Domain age information unavailable

Details

Page Title

إختبار العروض التعليمية - مراجعة شاملة

Scan Type

public

Language

🇸🇦

Arabic

(80% confidence)

Category

education learning

(97%)

Domain Information

Within the application-focused generic top-level domain (.app), 'muddy-coffee-o8tj0jli0a-t1p8brlhw6.edgeone.app' is registered and includes subdomain 'muddy-coffee-o8tj0jli0a-t1p8brlhw6'. Count 7 characters in 'edgeone' holding four vowels versus three consonants. Word splitting yields two 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://muddy-coffee-o8tj0jli0a-t1p8brlhw6.edgeone.app/

Page Load Overview

0.51s
Total Load Time
2
HTTP Requests
1
Domains
10 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:319 chars
Detector Agreement:100%

Website Classification

Primary Category

education learning97% confidence
Type: static
Method: ml+structural

All Detected Categories

education learning
97%
adult content
79%
entertainment media
37%
healthcare medical
35%
government public service
33%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
243.152.26.58Singapore
21--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T194B2CCE24961887105439E1DC1A33115E872BD236E4AFD303A8E57698F9F41BD6BE3BC

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:frFKp9xmpGcjsg+Curb1jDoAn4+ChkjpGXFeREvdavA/gTcwjoHCmyIn:frsYkcjsgjurZjNn4+ChkjpGXFeREvd1

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:25140:yohJIUHMiiqkACIgIEoEyIkJeBaxgiAUbBc+Ipom0EaJUCQEAYExUVrEEF4UnRdIYECSETOBEFUBG1aCGBUlSIEFQgCkCICB

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:3c3c3c3c00000000
Perceptual Hash:cfceb23293993930
Difference Hash:6969606020000000
Wavelet Hash:3c3c3c3c3c303030
Color Hash:#2d863c

Other Hashes

Crop Resistant:6969606020000000

Scan History

Scan history not available

Unable to load historical scan data