Security Scan Report: emojis-by-aj-bagq4f4fcg.edgeone.app

Submitted: Apr 14, 2026, 5:31:22 AMCompleted: Apr 14, 2026, 5:32:32 AMpubliccompleted
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Summary

This website contacted 1 IP in 1 country across 1 domain to perform 1 HTTP transaction. The main domain is emojis-by-aj-bagq4f4fcg.edgeone.app and was registered NaN years ago.

Submitted URL: https://emojis-by-aj-bagq4f4fcg.edgeone.app/

The Cisco Umbrella rank of the primary domain is #455,732 of the top 1 million websites

AI Security Verdict

Low Risk

Confidence: 68%

2
Risk Score

Low risk site; no forms or malicious indicators, but subdomain age unknown on low‑rank hosting platform.

Risk Factors
Low domain ranking (455,732) in Cisco Umbrella
Subdomain on hosting platform with unknown age
Safety Factors
No credential or payment forms
No malicious Indicators of Compromise
No JavaScript malware signatures
No network IDS alerts
JavaScript obfuscation score low (standard minification)
Domain age information unavailable

Details

Page Title

Azan Emojies

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(58%)

Domain Information

The domain name 'emojis-by-aj-bagq4f4fcg.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'emojis-by-aj-bagq4f4fcg'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. Segmentation suggests two 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://emojis-by-aj-bagq4f4fcg.edgeone.app/

Page Load Overview

0.48s
Total Load Time
2
HTTP Requests
1
Domains
15 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:208 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network58% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
58%
technology software
35%
entertainment media
32%

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

T144C2A5216D91098A3B07563F3763A484E2F1A54BA649CE5FFA0C65009FCA73AEED3174

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

768:XwVqbj1/FZMrdikUqE2x3C2v9vl5P7ibUCLyTuIwRSr3gtyTDiDvG4h6y:Xd0jC2veV2SBR

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:26623:zRJzACNFiAEqEgyJQIwEoTkdDAgSARIzQEKAALfKbOGQgghLMAYPTFZwEKCA7kn7ISghEaAG44ot5gBEihBT1CAIEYUQCUrR

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:3d3d3d1901010101
Perceptual Hash:8a9e23656ddc3233
Difference Hash:7171697131090101
Wavelet Hash:3d3d3d3d01010101
Color Hash:#1f9346

Other Hashes

Crop Resistant:7171697131090101

Scan History

Scan history not available

Unable to load historical scan data