Security Scan Report: freeimbonuseshugo-es5lgdxobr.edgeone.app

Site favicon
Submitted: May 19, 2026, 10:25:33 PMCompleted: May 19, 2026, 10:28:11 PMpubliccompleted
Loading additional data...

Summary

This website contacted 7 IPs in 2 countries across 7 domains to perform 13 HTTP transactions. The main domain is freeimbonuseshugo-es5lgdxobr.edgeone.app and was registered NaN years ago.

Submitted URL: https://freeimbonuseshugo-es5lgdxobr.edgeone.app/14178-mcdonalds-late-night-menu-to-include-breakfast-and-burgers.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 low‑quality article about McDonald's on an unknown‑age subdomain with moderate risk due to brand mismatch and low domain reputation, but no phishing or malware was observed.

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation (Cisco Umbrella rank > 100 K)
High JavaScript obfuscation score
Brand mention mismatch (article about a major brand on unrelated domain)
Safety Factors
Page type is "article" (og:type=article), indicating reporting rather than impersonation
No forms, no credential collection, and no payment fields
No Indicators of Compromise matched in threat intelligence databases
No JavaScript malware patterns detected by YARA
No network IDS alerts
Domain age information unavailable

Details

Page Title

McDonald's Late Night Menu to Include Breakfast and Burgers

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain 'freeimbonuseshugo-es5lgdxobr.edgeone.app' uses the application-focused generic top-level domain (.app), featuring subdomain 'freeimbonuseshugo-es5lgdxobr'. Count 7 characters in 'edgeone' containing four vowels alongside three consonants. Splitting it apart reveals two words: edge, one. Expect 3.5 characters per word on average. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://freeimbonuseshugo-es5lgdxobr.edgeone.app/14178-mcdonalds-late-night-menu-to-include-breakfast-and-burgers.html

Page Load Overview

90.11s
Total Load Time
17
HTTP Requests
10
Domains
85 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:1,330 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
corporate business
30%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
5104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.13.95United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2142.251.110.94United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2101.33.10.57Frankfurt am Main, Hesse, Germany
177--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T18642F927EE88212C2A795265B4D1F37C7D9DD016E3118CA484B9F3E9DBCA7EB1463708

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

192:PL6cm2N3VomvPYf85ZEQV+3Aa0JKJpJ/c7YYaH5XxLrYYrWag4ofCvydA9:jNhnYf8zX+34JKJpJ/cZaHzPYYrWag4H

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:12210:CvgDQEWmGjQkPABgGjkJ0Yqr00RSgaI5JZoqzITzVBPAgUD4MACAE4YIwipEIhOR2AI+WORkQATgDoiKACRoOHgEwnJzHqcR

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:3c202000000000ff
Perceptual Hash:c347cd3c9c169636
Difference Hash:f0c2c8f012800000
Wavelet Hash:ff787e7e000000ff
Color Hash:#93881f

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data