Security Scan Report: dietplancityhugo-yizna5vpb1.edgeone.app

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Submitted: May 21, 2026, 3:07:35 AMCompleted: May 21, 2026, 3:08:56 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 14 HTTP transactions. The main domain is dietplancityhugo-yizna5vpb1.edgeone.app and was registered NaN years ago.

Submitted URL: https://dietplancityhugo-yizna5vpb1.edgeone.app/11900-a-right-royal-scoop-inside-netflixs-explosive-prince-andrews-newsnight-interview-movie.html

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

AI Security Verdict

Low Risk

Confidence: 72%

2
Risk Score

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

Risk Factors
Unknown subdomain age on a hosting platform
Low domain reputation ranking
High JavaScript obfuscation (potentially suspicious code style)
Safety Factors
Page type is an article (og:type=article) – brand mentions are reporting, not impersonation
No forms or credential collection mechanisms
No malicious Indicators of Compromise or YARA detections
No network IDS alerts
Domain age information unavailable

Details

Page Title

A Right Royal Scoop: Inside Netflixs explosive Prince Andrews Newsnight interview movie

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(66%)

Domain Information

Domain 'dietplancityhugo-yizna5vpb1.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'dietplancityhugo-yizna5vpb1'. Its registrable label 'edgeone' stretches across 7 characters split between four vowels and 3 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://dietplancityhugo-yizna5vpb1.edgeone.app/11900-a-right-royal-scoop-inside-netflixs-explosive-prince-andrews-newsnight-interview-movie.html

Page Load Overview

12.61s
Total Load Time
20
HTTP Requests
13
Domains
25 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:3,934 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media66% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
66%
news media journalism
48%
corporate
35%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.108.76United States
AS7979Servers.com, Inc.
2142.251.14.94United States
AS15169Google LLC
2172.66.169.241United States
AS13335Cloudflare, Inc.
2172.240.127.242United States
AS7979Servers.com, Inc.
2172.67.150.240United States
AS13335Cloudflare, Inc.
2101.33.10.10Frankfurt am Main, Hesse, Germany
2142.251.127.95United States
AS15169Google LLC
208--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T171621B37FB85142C7B302252E485B2AD7C6D9006E3928DA097A9F62457C72EBD6363C8

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSehnYf8zX+HDJKJqJ/cp6utchFJE9AjqwYYrWag4MDw:nehnz+HFJUFtcy9AWLYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15515:AgEI1Aw0QAo1AMmEsSNAQIQsASBFB0EIGUQNIAkhF4gCwinnQ2gEQIGhVGXDAEAqSGlYIsLJkAaCGTmJeMABYgCcCXJ0gYi5

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:00000028002000ff
Perceptual Hash:c24afd43dd12963c
Difference Hash:d1c9c9d1c1c9c930
Wavelet Hash:3c383c3c3c7c00ff
Color Hash:#4d783a

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data