ScanMalware.com

Security Scan Report: dietplancityhugo-yizna5vpb1.edgeone.app

Site favicon
Submitted: May 20, 2026, 8:43:47 AMCompleted: May 20, 2026, 8:45:08 AMpubliccompleted
Loading additional data...

Summary

This website contacted 7 IPs in 2 countries across 7 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/18026-romina-power.html

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

AI Security Verdict

Low Risk

Confidence: 70%

2
Risk Score

The site shows low risk: no malicious forms or IoCs, but unknown subdomain age and high JS obfuscation suggest caution.

Risk Factors
Subdomain on hosting platform with unknown age
High JavaScript obfuscation score (but no malware)
Low Cisco Umbrella ranking (455,732) for the subdomain
Safety Factors
No login, payment, or credential forms
No malicious Indicators of Compromise or YARA matches
No network IDS alerts
Content appears to be a biographical article, not a phishing page
Domain age information unavailable

Details

Page Title

Romina Power

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

adult content

(60%)

Domain Information

The domain name 'dietplancityhugo-yizna5vpb1.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'dietplancityhugo-yizna5vpb1'. The second-level label 'edgeone' is 7 characters long with four vowels and three consonants. Splitting it apart reveals 2 words: edge, one. Median word length comes out to 3.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://dietplancityhugo-yizna5vpb1.edgeone.app/18026-romina-power.html

Page Load Overview

12.64s
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:4,176 chars
Detector Agreement:100%

Website Classification

Primary Category

adult content60% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

adult content
60%
entertainment media
56%
cryptocurrency blockchain
56%
corporate
35%
social media network
31%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
8104.20.7.223United States
AS13335Cloudflare, Inc.
2172.240.127.243United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
AS139341ACE
2142.250.154.95United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
2172.66.169.241United States
AS13335Cloudflare, Inc.
2142.251.110.94United States
AS15169Google LLC
207--

Detected Technologies3

Open-Graph-Protocolvarticle
100%
Statcounter
20%
DTScout
20%

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T137622927F748223CA732429EA4C2F2BD7D24C611F3564D9479D4E3284AC6BD7597A388

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WSChnYf8zX+NBJKJqJ/cp6B3qZx7AZ3emhUfYYrWag4MDw:nChnz+N7JUU3qZx7AZlhUgYrWag4Aw

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15232:EoiQZgFUowQtQFCwwYEAAQSdDagVIpAISIgpAlyBkiAYwgPEIq0E5EEVAgUAgUAxaZmQoGhJ2GYQjMmoKkYJ4oCoYJICQKg6

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:00000020003c00ff
Perceptual Hash:8268bd42cf169f1e
Difference Hash:d193d1c1c1c9c101
Wavelet Hash:3c003c3c3c3c3cff
Color Hash:#86342d

Other Hashes

Crop Resistant:d193d1c1c1c9c101,d593c5c9c1c9c1c1

Scan History

Scan history not available

Unable to load historical scan data