Security Scan Report: schellengersitus-dp1b9otkekam.edgeone.app

Site favicon
Submitted: Jun 21, 2026, 2:31:16 PMCompleted: Jun 21, 2026, 2:32:30 PMpubliccompleted
Loading additional data...

Summary

This website contacted 8 IPs in 3 countries across 9 domains to perform 2 HTTP transactions. The main domain is schellengersitus-dp1b9otkekam.edgeone.app and was registered NaN years ago.

Submitted URL: https://schellengersitus-dp1b9otkekam.edgeone.app/amazon-music-strawberry-shortcake-soundtrack.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

Informational article about Amazon Music; no malicious activity detected; low risk.

Risk Factors
Unknown subdomain creation date (could be newly created)
Low domain ranking for a major brand
Safety Factors
No forms collecting credentials or payment data
No malicious JavaScript or behavioral signals detected
No Indicators of Compromise matched
Page type is article (informational) rather than a login or payment page
Domain age information unavailable

Details

Page Title

Amazon Music Adds Strawberry Shortcake Soundtrack, Delighting Young Listeners

Scan Type

public

Language

🇺🇸

English

(80% confidence)

Category

entertainment media

(98%)

Domain Information

Within the application-focused generic top-level domain (.app), 'schellengersitus-dp1b9otkekam.edgeone.app' is registered and includes subdomain 'schellengersitus-dp1b9otkekam'. The registrable portion 'edgeone' spans 7 characters with four vowels and 3 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://schellengersitus-dp1b9otkekam.edgeone.app/amazon-music-strawberry-shortcake-soundtrack.html

Page Load Overview

6.41s
Total Load Time
18
HTTP Requests
15
Domains
578 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:2,860 chars
Detector Agreement:100%

Website Classification

Primary Category

entertainment media98% confidence
Type: dynamic
Method: ml+structural

All Detected Categories

entertainment media
98%
education learning
96%
real estate property
87%
blog personal website
86%
government public service
86%

Detected Features

OG: article
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
4172.240.127.244United States
AS7979Servers.com, Inc.
243.152.26.58Singapore
2142.251.20.95United States
AS15169Google LLC
2104.21.0.120United States
AS13335Cloudflare, Inc.
287.98.245.110Germany
AS16276OVH SAS
2104.20.30.252United States
AS13335Cloudflare, Inc.
266.254.122.17United States
AS29789Reflected Networks, Inc.
2172.66.135.144United States
AS13335Cloudflare, Inc.
188--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T1F872182BBE81552C7762464F50E1F6FCBC688127E7468CE176C8B3295F8A7DB5432384

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

384:mUhnYf8zX+i5m8EtQ8+IMXtg9xHYCCI1XTJ7L+mkhDroC6Uag49UN4:Hhnz+YmueZYDcC6Uag4mO

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:16440:ICBhZYOAEikEdfYgCBiYECyqqAbKwQGQiffCBg2EhAEABqGkQYAAAgKKGQZKRMaB3LMSSt5sJ0BDzoAqQQQSCEpNQQQQOCFQ

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:c3ffffffcf838383
Perceptual Hash:bcc73c39623932c3
Difference Hash:1e26000b3e3f3b2f
Wavelet Hash:83deff838f838181
Color Hash:#5390ac

Other Hashes

Crop Resistant:1e26000b3e3f3b2f

Scan History

Scan history not available

Unable to load historical scan data