Security Scan Report: dietplancityhugo-yizna5vpb1.edgeone.app

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Submitted: Completed: publiccompleted
This website contacted 7 IPs in 2 countries across 12 domains to perform 21 HTTP transactions. The main domain is edgeone.app and was registered 3 years 5 months ago.

Submitted URL: https://dietplancityhugo-yizna5vpb1.edgeone.app/11741-how-to-transition-back-to-your-natural-hair-color.html

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

AI Security Verdict

Low Risk

Confidence: 62%

2
Risk Score

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

Risk Factors (3)
Unknown subdomain age on a hosting platform
Low domain ranking in Cisco Umbrella
High JavaScript obfuscation score (though not malicious)
Safety Factors (4)
No forms collecting credentials or payments
No external malicious links or IoC matches
Page type identified as an article (og:type=article)
Hosted on a reputable platform (edgeone.app) without suspicious activity
Domain age information unavailable

Details

Page Title

How to Transition Back to Your Natural Hair Color

Scan Type

public

Domain Name Analysis

The domain 'dietplancityhugo-yizna5vpb1.edgeone.app' uses the application-focused generic top-level domain (.app) and includes subdomain 'dietplancityhugo-yizna5vpb1'. Count 7 characters in 'edgeone' containing four vowels alongside 3 consonants. It segments into two 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/11741-how-to-transition-back-to-your-natural-hair-color.html

Page Load Overview

13.11s
Total Load Time
66 KB
Total Size

Language Analysis

Primary Language

🇺🇸English
Code: en
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

HTML Lang Attribute:en-US
Text Length:4,211 chars
Detector Agreement:100%

Website Classification

Primary Category

news media journalism68% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

news media journalism
68%
documentation technical
64%
healthcare medical
54%
entertainment media
52%
education learning
51%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
3172.67.150.240United States
AS13335Cloudflare, Inc.
3142.251.14.94United States
AS15169Google LLC
3142.251.13.95United States
AS15169Google LLC
3101.33.10.57Frankfurt am Main, Hesse, Germany
3104.20.8.223United States
AS13335Cloudflare, Inc.
3172.240.253.132United States
AS7979Servers.com, Inc.
3172.66.169.241United States
AS13335Cloudflare, Inc.
217--

Detected Technologies3

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T15C62FA1BF78041282563415971C1FEBC793DC41EEB4249B97EA5E32D47E22EB8973A88

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:WS4hnYf8zX+OaExaIaPaeJKJqJ/cp6NasV2sIEt8iisYYrWag4MDw:n4hnz+OaExaIaPa+JUMasV2sIEt8ii3o

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:15312:VWBITQCihIY4hEhE0QACQaAIVQ2cAAgpGrsUI9AJBA0JyDvJEsAMUqiAQEkAOj4oYyHZCM3jEIvAENiAQAkt0BiRjKIAgggA

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:0000002c003c00ff
Perceptual Hash:c346ed47961b9638
Difference Hash:e4c7d8d0d0c0d014
Wavelet Hash:3c303c3c3c7c10ff
Color Hash:#53ac54

Other Hashes

Scan History

Scan history not available

Unable to load historical scan data