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Security Scan Report: shiekh-o0sa0qusa5.edgeone.app

Submitted: Nov 11, 2025, 4:55:21 AMCompleted: Nov 11, 2025, 4:56:05 AMpubliccompleted
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Summary

This website contacted 9 IPs in 0 countries across 6 domains to perform 16 HTTP transactions. The main domain is shiekh-o0sa0qusa5.edgeone.app.

Submitted URL: https://shiekh-o0sa0qusa5.edgeone.app/

AI Security Verdict

Safe Website

Confidence: 85%

0
Risk Score

Legitimate site with no apparent security threats.

Safety Factors
Absence of credential or payment collection fields
No malicious Indicators of Compromise
No suspicious redirects or external links
Domain age information unavailable

Details

Page Title

πŸš€ SHEIKH DUBAI πŸš€

Scan Type

public

Language

πŸ‡ΊπŸ‡Έ

English

(60% confidence)

Category

social media network

(65%)

Domain Information

The domain name 'shiekh-o0sa0qusa5.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'shiekh-o0sa0qusa5'. Its registrable label 'edgeone' stretches across 7 characters holding 4 vowels versus three consonants. Breaking it apart gives 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://shiekh-o0sa0qusa5.edgeone.app/

Page Load Overview

1.90s
Total Load Time
16
HTTP Requests
6
Domains
143 KB
Total Size

Language Analysis

Primary Language

πŸ‡ΊπŸ‡ΈEnglish
Code: en
Confidence:60%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:60%
Script Type:Latin
Text Length:221 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network65% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
65%
download file sharing
33%
government public service
27%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8157.240.0.35UnknownUnknown
1149.154.171.237UnknownUnknown
1149.154.167.99UnknownUnknown
1157.240.0.6UnknownUnknown
143.152.26.58UnknownUnknown
12001:67c:4e8:f004::9UnknownUnknown
12a03:2880:f177:185:face:b00c:0:25deUnknownUnknown
12a03:2880:f084:105:face:b00c:0:3UnknownUnknown
1149.154.171.236UnknownUnknown
169--

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T190A1844D19A334927BB350852BE3635822D1D107E57BEEACB4CCCB20AFC95AC44C368E

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

96:nBrxfU9v14k/Igjflf9XJhftszeJyFOCdvxoxkzx5H0ZH0IzfN8OVU:BrxfU9tJdhfJnfm6BCdZWgGZUITN8OVU

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:4960:WJgAPCEShAgQSAASZEIBAQAABgARGogIBgBAQyAIislAQkIACggQGgkEECIIEMIMaCBCFoQABDBoAepAJAsRoLAAMYiAAgAA

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:1818181800000000
Perceptual Hash:9999666666cc9999
Difference Hash:3030b23030001000
Wavelet Hash:38383c3c18000000
Color Hash:#86372d

Other Hashes

Crop Resistant:f0d4a2c0c0a2c0f0,3030b23030001000

Scan History

Scan history not available

Unable to load historical scan data