Security Scan Report: dietplancityhugo-yizna5vpb1.edgeone.app

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Submitted: May 21, 2026, 7:57:08 AMCompleted: May 21, 2026, 7:58:31 AMpubliccompleted
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Summary

This website contacted 8 IPs in 2 countries across 8 domains to perform 13 HTTP transactions. The main domain is dietplancityhugo-yizna5vpb1.edgeone.app and was registered NaN years ago.

Submitted URL: https://dietplancityhugo-yizna5vpb1.edgeone.app/1996-malia-pyles-height-weight-net-worth-age-birthday-wikipedia-who-nationality-biography.html

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

AI Security Verdict

Low Risk

Confidence: 78%

3
Risk Score

The site appears to be a low‑risk informational page with no malicious forms or IoC, but the unknown subdomain age and low domain ranking suggest caution.

Risk Factors
Unknown subdomain creation date (new subdomains on hosting platforms are often suspicious)
Low Cisco Umbrella ranking (455,732) for the domain
High JavaScript obfuscation score (entropy, concatenation) – weak signal
Safety Factors
Page type is article (og:type=article) – informational content
No credential or payment forms present
No network IDS alerts or malicious traffic detected
No malicious IoC or YARA matches
Domain age information unavailable

Details

Page Title

Malia Pyles Height, Weight, Net Worth, Age, Birthday, Wikipedia, Who, Nationality, Biography

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(81%)

Domain Information

The domain 'dietplancityhugo-yizna5vpb1.edgeone.app' uses the application-focused generic top-level domain (.app); it also runs on subdomain 'dietplancityhugo-yizna5vpb1'. The second-level label 'edgeone' is 7 characters long containing four vowels alongside three consonants. It segments into 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://dietplancityhugo-yizna5vpb1.edgeone.app/1996-malia-pyles-height-weight-net-worth-age-birthday-wikipedia-who-nationality-biography.html

Page Load Overview

12.37s
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:3,681 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media81% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
81%
documentation technical
49%
blog personal website
46%
news media journalism
38%
government public service
36%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
6101.33.10.57Frankfurt am Main, Hesse, Germany
2142.251.14.94United States
AS15169Google LLC
2104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.108.68United States
AS7979Servers.com, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
2104.20.23.96United States
AS13335Cloudflare, Inc.
2104.21.0.120United States
AS13335Cloudflare, Inc.
2142.251.13.95United 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

T15962F93BB64071289B6203E6B585F37D7939C126D342CCE866C0E31D9682BD72DF7649

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSShnYf8zX+zlJKJqJ/cp6bHhmeGlwHe7YYrWag4MDw:nShnz+z3JUIHDGlwHecYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15247:NAASxKEDCDChQMIIQNpRAFkCggAGZEAa6KARAiAdSwgclBmAgOEoAgCIRAUgYfCASBMQmkRJ2iiJZFgjARgoVoGEEQCG6Qgi

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:0000003c242000ff
Perceptual Hash:c343fd43961c963c
Difference Hash:d0c1c4d0c0c81220
Wavelet Hash:3c3c3c3c3c3c00ff
Color Hash:#4046bf

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data