Security Scan Report: macbahiahugo-zky39jw51p.edgeone.app

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Submitted: May 19, 2026, 2:35:06 PMCompleted: May 19, 2026, 2:36:37 PMpubliccompleted
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Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 14 HTTP transactions. The main domain is macbahiahugo-zky39jw51p.edgeone.app and was registered NaN years ago.

Submitted URL: https://macbahiahugo-zky39jw51p.edgeone.app/23819-the-swiss-international-the-vistana-lekki-lekki-nigeria.html

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

AI Security Verdict

Moderate Risk

Confidence: 78%

5
Risk Score

The page is a brand‑related article hosted on a newly created subdomain with low reputation; no malicious activity detected but moderate risk due to unknown age and obfuscation.

Risk Factors
Unknown subdomain age on a hosting platform
Low Cisco Umbrella ranking for the domain
High JavaScript obfuscation score without clear purpose
Brand mention on a low‑reputation, newly created subdomain
Safety Factors
og:type is "article", indicating news/reporting content
No credential or payment forms detected
No Indicators of Compromise matched in threat intel
No JavaScript malware patterns detected
Domain age information unavailable

Details

Page Title

The Swiss International The Vistana Lekki, Lekki, Nigeria

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate business

(74%)

Domain Information

Within the application-focused generic top-level domain (.app), 'macbahiahugo-zky39jw51p.edgeone.app' is registered; it also runs on subdomain 'macbahiahugo-zky39jw51p'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. Tokenizing the label suggests 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://macbahiahugo-zky39jw51p.edgeone.app/23819-the-swiss-international-the-vistana-lekki-lekki-nigeria.html

Page Load Overview

13.58s
Total Load Time
20
HTTP Requests
12
Domains
86 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:4,987 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate business74% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate business
74%
adult content
61%
travel tourism
58%
government public service
42%
healthcare medical
40%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8101.33.10.10Frankfurt am Main, Hesse, Germany
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.240.253.132United States
AS7979Servers.com, Inc.
2192.178.183.94United States
AS15169Google LLC
2192.178.183.95United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
207--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T141621A33E781132C936281A7A5DDB3FCADB88419E392CC5568DC53F882CA2D78576F94

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:jfhnYf8zX+faJKJ8J/csrOMwgi6PicmN+YYrWag4MDw:jfhnz+fUJUow8qvNxYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15714:Dm4aArkqrIgoVoNjAA4MmACwYcQQgBERhAZo0iTA5AgKoACEZUslUcUKzBJlJhCw0Bi4CMApBR3KEARyVJoRFbnEpxAYGCAR

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:3000003c3c3c00ff
Perceptual Hash:c347ed12921e963e
Difference Hash:c0c3ccc0d0d43300
Wavelet Hash:3c303c7c7c3c00ff
Color Hash:#862d37

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data