Security Scan Report: joyous-orange-lwcr9acgun-h0un0acj1t.edgeone.app

Submitted: Apr 12, 2026, 3:53:48 AMCompleted: Apr 12, 2026, 3:55:06 AMpubliccompleted
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Summary

This website contacted 6 IPs in 2 countries across 6 domains to perform 1 HTTP transaction. The main domain is joyous-orange-lwcr9acgun-h0un0acj1t.edgeone.app and was registered NaN years ago.

Submitted URL: https://joyous-orange-lwcr9acgun-h0un0acj1t.edgeone.app/

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

AI Security Verdict

Moderate Risk

Confidence: 72%

5
Risk Score

The site claims to offer a fake WhatsApp app, uses a low‑ranked subdomain with unknown age, and lacks malicious indicators, resulting in a moderate risk classification.

Risk Factors
Low domain ranking for a well‑known brand
Unknown subdomain age on a hosting platform
Brand impersonation without legitimate affiliation
Hosting on a generic subdomain (edgeone.app)
Safety Factors
No forms collecting credentials or payments
No malicious JavaScript or obfuscation
No Indicators of Compromise matched
No IDS alerts triggered
Cross‑origin requests limited to benign CDNs
Domain age information unavailable

Details

Page Title

XENNO CHAT - Fake WA Pro

Scan Type

public

Language

🇺🇸

English

(56% confidence)

Category

social media network

(95%)

Domain Information

You're looking at domain 'joyous-orange-lwcr9acgun-h0un0acj1t.edgeone.app' on the application-focused generic top-level domain (.app), featuring subdomain 'joyous-orange-lwcr9acgun-h0un0acj1t'. The core label 'edgeone' covers 7 characters with four vowels and 3 consonants. Segmentation suggests two 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://joyous-orange-lwcr9acgun-h0un0acj1t.edgeone.app/

Page Load Overview

0.79s
Total Load Time
10
HTTP Requests
6
Domains
183 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:56%
Script:Latin
Direction:ltr

Detection Details

Language Code:en
Detection Confidence:56%
Script Type:Latin
HTML Lang Attribute:id
Text Length:158 chars
Detector Agreement:100%
Language mismatch: Declared as id but detected as en

Website Classification

Primary Category

social media network95% confidence
Type: static
Method: ml+structural

All Detected Categories

social media network
95%
technology software
85%
cryptocurrency blockchain
63%
adult content
54%
phishing scam
45%

Detected Features

No structural features detected

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.17.25.14United States
AS13335Cloudflare, Inc.
1104.26.3.143United States
AS13335Cloudflare, Inc.
1142.251.14.94United States
AS15169Google LLC
143.152.26.58Singapore
1142.251.110.95United States
AS15169Google LLC
1104.26.8.185SingaporeUnknown
106--

Detected Technologies1

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T12F82962971A13456ED53B0F6E5ADA6487018918FFE1ACA6BF5CD71D0AF8FB9208D3108

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:Whn9oSCynIt441j8dIpm2FkiJH7JXeS7JXex/27xWL4cnrn8VLQypw2IJop1wRKc:WF9qnhFrhL7QLvARQypw2nsTngyqZXQ

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:19103:sBvABArIeBADo0A2TCxKgQEAAAA0BBRDwQKUCAd+owIyoDjBQIQakYDBAABpKAqRglFFAQwKTGEzlCkAgCEEpEKATJgIxAJt

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:0000181818180000
Perceptual Hash:cc3333cccc339966
Difference Hash:00083030b2b20c30
Wavelet Hash:0c0c3c3c3c3c0000
Color Hash:#ac5360

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data