Security Scan Report: dietplancityhugo-yizna5vpb1.edgeone.app

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Submitted: May 20, 2026, 6:36:48 AMCompleted: May 20, 2026, 6:38:08 AMpubliccompleted
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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 dietplancityhugo-yizna5vpb1.edgeone.app and was registered NaN years ago.

Submitted URL: https://dietplancityhugo-yizna5vpb1.edgeone.app/20934-rachel-riley-stuns-alongside-mini-me-daughters-maven-and-noa-in-festive-family-photos.html

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

AI Security Verdict

Low Risk

Confidence: 80%

2
Risk Score

The site appears to be a low‑risk article page with no phishing or malware indicators.

Risk Factors
Subdomain on hosting platform with unknown age
Low Cisco Umbrella ranking (455,732) for the subdomain
High JavaScript obfuscation score (though not alone malicious)
Safety Factors
Page type is og:type=article (news/blog content)
No forms or credential collection present
No malicious Indicators of Compromise detected
No network IDS alerts or malware YARA matches
External resources are common CDNs and analytics
Domain age information unavailable

Details

Page Title

Rachel Riley stuns alongside mini-me daughters Maven and Noa in festive family photos

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

corporate

(35%)

Domain Information

The domain name 'dietplancityhugo-yizna5vpb1.edgeone.app' uses the application-focused generic top-level domain (.app) with subdomain 'dietplancityhugo-yizna5vpb1'. Count 7 characters in 'edgeone' holding four vowels versus 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/20934-rachel-riley-stuns-alongside-mini-me-daughters-maven-and-noa-in-festive-family-photos.html

Page Load Overview

11.70s
Total Load Time
20
HTTP Requests
12
Domains
20 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:4,008 chars
Detector Agreement:100%

Website Classification

Primary Category

corporate35% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

corporate
35%
news media journalism
35%
entertainment media
33%
download file sharing
32%
blog personal website
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8142.250.154.94United States
AS15169Google LLC
2104.20.8.223United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.240.127.234United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
2142.251.20.95United States
AS15169Google LLC
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

T14E620A2BFA81102C32334615F5C3F3EE76298525E382DED894A9B75B87C21E745B07DA

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSrhnYf8zX+JSJKJqJ/cp6kiCgV4lYWLECfYYrWag4MDw:nrhnz+JaJUrixW8YrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15547:lIApDABEyQb2tMBEF2AgWDIE0ksEQAyKCQ+AABcRAOCmwCHaFqAgYAQDNQkgaQgQSWVBIUHkGASDUxiAiJAN5GiBiSzASbhh

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:00000020002000ff
Perceptual Hash:824bfd42dd12973c
Difference Hash:d1c9cdc1c1c1c130
Wavelet Hash:3c383c3c3c7c00ff
Color Hash:#79bed2

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data