Security Scan Report: macbahiahugo-zky39jw51p.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 20 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://macbahiahugo-zky39jw51p.edgeone.app/11380-who-is-ferne-mccanns-fiance-lorri-haines.html

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The site appears to be a low‑risk informational article with no phishing or malware indicators, though the subdomain is newly created and has a low reputation ranking.

Risk Factors (3)
Unknown subdomain creation date (subdomain could be newly registered)
Low Cisco Umbrella ranking (#455,732)
High JavaScript obfuscation score (potentially suspicious code style)
Safety Factors (4)
No credential or payment forms present
No malicious Indicators of Compromise detected
No JavaScript malware patterns identified
Page classified as an article/news piece about a public figure
Domain age information unavailable

Details

Page Title

Who is Ferne McCann's fiance Lorri Haines?

Scan Type

public

Domain Name Analysis

The domain name 'macbahiahugo-zky39jw51p.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'macbahiahugo-zky39jw51p'. Its registrable label 'edgeone' stretches across 7 characters with four vowels and three consonants. Word splitting yields two words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://macbahiahugo-zky39jw51p.edgeone.app/11380-who-is-ferne-mccanns-fiance-lorri-haines.html

Page Load Overview

56.59s
Total Load Time
127 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:2,987 chars
Detector Agreement:100%

Website Classification

Primary Category

social media network52% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

social media network
52%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8142.250.154.95United States
AS15169Google LLC
2101.33.10.57Frankfurt am Main, Hesse, Germany
2172.66.169.241United States
AS13335Cloudflare, Inc.
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2142.250.154.94United States
AS15169Google LLC
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T166520933FB81112C2A320354A4D1B67F39AE9437E30288A959F4B72DA7C56CBC8B15C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jchnYf8zX+ndJKJ8J/ciamt18wO8UPYYrWag4MDw:jchnz+nFJUia818JQYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:13696:gPSJpJQADLE6MQZVBVmBGwAAyStVogzZQgJNAD3AAgIh4QmxJKUuAhRDUCP1TBCRUACAKCj0AATpE0OoARBudOIFkgBwArIQ

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:3c002c3c000000ff
Perceptual Hash:c343ed2d96169e38
Difference Hash:c0c7d8c0d0174000
Wavelet Hash:7e707c7e3c0000ff
Color Hash:#931f7a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data