Security Scan Report: makehomeeasyfave-i0jxqzm8yx.edgeone.app

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Submitted: May 21, 2026, 3:09:58 PMCompleted: May 21, 2026, 3:12:15 PMpubliccompleted
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Summary

This website contacted 9 IPs in 2 countries across 9 domains to perform 13 HTTP transactions. The main domain is makehomeeasyfave-i0jxqzm8yx.edgeone.app and was registered NaN years ago.

Submitted URL: https://makehomeeasyfave-i0jxqzm8yx.edgeone.app/16502-shania-twain-marks-bittersweet-end-as-she-prepares-to-return-home-with-husband-frdric-thibaud.html

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

AI Security Verdict

High Risk

Confidence: 80%

7
Risk Score

The site hosts a newly created subdomain on edgeone.app, links to a known malicious domain, and runs heavily obfuscated JavaScript, indicating a high risk of malware distribution.

Risk Factors
External link to known malicious domain
Unknown subdomain age on a hosting platform
Low domain reputation ranking
Highly obfuscated JavaScript code
Domain age information unavailable

Details

Page Title

Shania Twain marks bittersweet end as she prepares to return home with husband Frdric Thibaud:

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

social media network

(69%)

Domain Information

Within the application-focused generic top-level domain (.app), 'makehomeeasyfave-i0jxqzm8yx.edgeone.app' is registered and includes subdomain 'makehomeeasyfave-i0jxqzm8yx'. The core label 'edgeone' covers 7 characters holding 4 vowels versus three consonants. Segmentation suggests 2 words: edge, one. Average segment length settles at 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://makehomeeasyfave-i0jxqzm8yx.edgeone.app/16502-shania-twain-marks-bittersweet-end-as-she-prepares-to-return-home-with-husband-frdric-thibaud.html

Page Load Overview

55.54s
Total Load Time
19
HTTP Requests
14
Domains
31 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-US
Text Length:4,056 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network69% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
69%
entertainment media
41%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.150.240United States
AS13335Cloudflare, Inc.
2104.18.11.207United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.251.13.94United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
2192.178.170.95United States
AS15169Google LLC
199--

Detected Technologies4

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15E622A37F940122C1B514169E1C2B37D7E78882AD3A2CCA575ACA73D0BC76CF5C79258

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:brgqMWhnYf8zX+WgJ/ceB/TPyaY5mag4gDw:bQWhnz+WgJUeB/VY5mag48w

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15716:VwAcIRIRoJM5hOIwO0RsTCSAUKJDAAk+JEWKEUJO0+AzEUoC4A0EWERkiR4I/DAAA0AEQdkwgaoCmUIEIkImOkgMQXCQSJJI

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:81c7c3c3c3c3ffff
Perceptual Hash:b4388b3a6e4b62ce
Difference Hash:171e1616161e1002
Wavelet Hash:81c2c2c2c2c2fefe
Color Hash:#78403a

Other Hashes

Crop Resistant:171e1616161e1002

Scan History

Scan history not available

Unable to load historical scan data